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This is a guide on how to choose a production management system for those selecting one for the first time, aimed at ensuring a successful implementation. It includes a system selection checklist and common failure examples that we hope you will find helpful. 【This document provides insights on the following】 - What a production management system is - Feedback from companies that failed to implement a production management system - How to choose a production management system without making mistakes *This document can be downloaded from the "Catalog" section at the bottom of the page.
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"Smart F" is a production management cloud system that allows for a small start with low cost and low risk. By visualizing all aspects of the manufacturing site, it reduces waste, losses, and man-hours, achieving a compression of management costs. ◆ Effects of introducing Smart F (example) - Reduced inventory costs by 1 million yen annually - Reduced inventory counting man-hours by 560 hours annually - Eliminated annual waste losses of several million yen - Eliminated handwritten management and Excel input tasks - Eliminated 1,000 site verification tasks each month ◆ List of modules Inventory management, material management, process management/man-hour aggregation, production planning, order management, cost management, warehouse management/WMS, quality management (inspection management/defect aggregation/lot traceability) ◆ For customers facing these challenges - Want to eliminate handwritten and Excel management - Cannot eliminate the discrepancy between theoretical and actual inventory - Difficult to adjust production plans and delivery dates due to lack of process progress visibility - Unable to manage ordering and inventory of purchased parts - Want to visualize costs for each project <Understand Smart F in 3 minutes> https://youtu.be/kE2jZegz1js
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This document summarizes various success stories from different industries that have implemented SmartF to achieve improved operational efficiency and productivity. It clearly presents the specific changes before and after implementation for 19 companies in a BEFORE/AFTER format, covering sectors such as cosmetics, metal processing, automotive parts, and food. How SmartF, which allows for a small start with necessary functions while keeping costs and implementation risks low, has solved the challenges faced by each company is detailed. We invite you to see the effects along with specific numerical data! 【Industries Featured in Case Studies】 Cosmetics / Chemicals / Pharmaceuticals / Regenerative Medicine / Food / Assembly Products / Metal Processing and Assembly Products / Molding Products / Automotive Parts / Circuit Board Assembly / Information and Communication / Wholesale, Logistics Warehousing, 3PL / Reuse \\ A PDF summarizing detailed case studies from each industry is available for free! // You can view it by downloading from the "Download Catalog" link below, so please feel free to download it.
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We will provide a clear explanation, with images, of an Excel template for production planning that is easy to use even in manufacturing sites with many processes. By using this template, you can visualize the schedule of the person in charge and the production plan simply by entering the necessary items. The template we are offering is designed for those who want to start production management with Excel, allowing you to easily create production plans for each task. In sites with many work processes, you can visualize "who will do what and when" at a glance. With just a simple operation of entering minimal information such as product name, task details, and workers, you can immediately create a production plan. The input fields are limited to product name, delivery date, quantity, task name, start date, and end date. This allows for a level of detail and clarity that is difficult to achieve with paper or whiteboards. With a simple Excel format, you can easily experience an operational sense based on the template. ▶▶ Please download and use it from the link below: "Details of the template and free download here."
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This document is a field improvement manual aimed at all manufacturing companies that want to solve the challenges of production management tasks that rely on paper and Excel. It introduces case studies of companies that have successfully transitioned away from paper and Excel, providing methods to eliminate inefficient management tasks. Additionally, it includes IoT tools that can be used in conjunction with production management systems, making it a valuable resource. We encourage you to read it. [Contents (partial)] ■ Introduction ■ Tasks that tend to remain reliant on paper and Excel ■ Systems that can replace paper and Excel ■ How analog tasks change with a production management system ■ IoT tools that can be used alongside production management systems *For more details, please download the PDF or feel free to contact us.
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The "2025 Cliff" problem, the intensification of demands for small-lot production and short delivery times, and other factors are increasing the challenges surrounding modern manufacturing. In particular, the personalization of production planning tasks and the dilemma of inventory risk versus delivery delay risk are significant issues. This document provides a detailed explanation of how to utilize "production schedulers" to address these challenges and promote the advancement of production planning and digital transformation (DX). A production scheduler is a system that automatically formulates and optimizes realistic plans while considering resource constraints such as personnel and equipment. Additionally, it presents case studies that have achieved significant improvements in delivery compliance rates and inventory reduction, along with numerical data. Practical implementation steps and success factors are also discussed. [Document Overview] ■ Current situation surrounding the manufacturing industry and challenges by production method (MTS/MTO/hybrid) ■ Basic functions of production schedulers compared to Excel management ■ Specific examples of implementation effects (improvement in delivery compliance rates, inventory reduction, etc.) ■ Key points and checklist for successful implementation aiming for early realization of return on investment *You can immediately view it for free by clicking the <Catalog Download> button below.
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This document introduces the necessity of a cost management system. It provides a detailed explanation of the comparison of manufacturing cost trends between the world and Japan based on BCG data, differentiation strategies for manufacturers in an era of rising costs, and appropriate improvement steps through a 30-question self-assessment of company maturity. Additionally, it includes successful case studies of cost management system implementation, making it a valuable resource. We encourage you to read it. 【Contents (partial)】 ■ Heat map of manufacturing cost trends in the world and Japan ■ Why it is dangerous not to see costs now ■ Five limitations of Excel cost management ■ What is a cost management system? Full function map ■ 30-question self-diagnosis of company maturity *For more details, please download the PDF or feel free to contact us.
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Many manufacturing companies are facing limitations with inventory management done through handwritten notes or Excel. The lack of real-time data leads to stockout errors, excessive inventory due to human input mistakes, and the risk of knowledge being confined to specific individuals... all of these are structural challenges that pressure the company's profits. This document provides tips for digitizing inventory management using barcodes. [Contents (partial)] - Data-driven explanation of a case where inventory work was reduced by 73%, completing a task that previously took two days in just a few hours. - How to eliminate human errors and achieve 99.9% reading accuracy to prevent input mistakes. - Inventory management maturity assessment [30-question checklist]. - A thorough explanation of how to choose a handheld terminal that meets the needs of the field in seven key points. *For more details, please download the PDF or feel free to contact us.
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Download the guide with a "diagnostic flowchart" to help you choose the most suitable system for your company and solve the complexities of system selection! When considering digital transformation (DX) in manufacturing, do you face challenges such as "not knowing which system is best for our company" or "the distinctions between ERP, MES, and production management systems being unclear"? This guide clearly explains the roles and features of each system, helping you find the optimal options tailored to your company's challenges. 【Contents (partial)】 - Differences between ERP, MES, and production management systems (function and feature comparison table) - Key points to check when selecting a system - "Diagnostic flowchart" to find the most suitable system for your company ▶▶ You can view the materials by downloading the catalog below!
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In the cosmetics, chemicals, pharmaceuticals, and food industries, there are many common concerns such as the hassle of raw material management, the accuracy of lot tracing, and the lengthening of inventory periods. This document provides detailed success stories of companies that have solved these issues by implementing SmartF. It clearly explains the challenges each company faced and how they were improved through the introduction of SmartF, presented in a specific Before/After format! 【Industry Case Studies】 ■ Cosmetics: A case where annual losses of several tens of millions of yen were reduced to zero through accurate verification using handheld terminals. ■ Chemicals: A case where accurate first-in-first-out and expiration date management became possible through QR code verification. ■ Pharmaceuticals: A case where production plans and inventory were linked, reducing the burden of ordering tasks through automatic future inventory calculations. ■ Food: A case that achieved more precise management by accommodating expiration date management and irregularly weighted products. \\ A PDF summarizing the case details is available for free! // You can view it by downloading from the "Download Catalog" link below, so feel free to download it.
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Are you struggling with the personalization of inventory management and manual data entry tasks using paper or Excel? This document summarizes case studies from the metal processing industry that successfully improved operations by implementing SmartF. It clearly explains how the challenges faced by existing systems and analog management were resolved with SmartF, using a specific Before/After format! 【Case Study Highlights (Partial)】 ■ Eliminated over 1,000 manual data entry tasks each month, achieving an annual reduction of 360 hours in labor. Centralized inventory and production information, speeding up delivery responses to customers. ■ Successfully systematized inventory management, compressing annual inventory costs by approximately 1 million yen. Reduced the time spent by purchasing staff on ordering tasks by 80 hours annually. ■ Implemented barcode inventory management for steel materials. Eliminated the need for handwritten entry and achieved a first-in, first-out system that does not rely on the operator's intuition. \\ A PDF summarizing the detailed case studies is available for free! // You can view it by clicking "Download Catalog" below, so feel free to download it.
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Are you facing challenges such as inventory management across multiple locations, input errors due to analog management, and increased burdens on the field? In this document, we will introduce successful case studies from the automotive parts industry that have resolved these issues by implementing SmartF. We will provide a detailed explanation of the specific methods used to unify inventory management systems at each location, achieving improved operational efficiency and productivity in a Before/After format! 【Case Study Highlights】 ■ Unified the inventory management system that was different at each location. By utilizing handheld devices, we reduced inventory counting labor by 560 hours and eliminated 420 hours of Excel input work annually. ■ Transitioned from paper and Excel-based inventory management, compressing inventory counting labor to one-tenth. Sales per person increased by 140%, and stockouts and shipping delays were reduced to zero. ■ Eliminated handwritten entries on shelf cards and manual inventory counting, successfully reducing labor by over 1,000 hours annually. Accurate inventory management enabled planned production, leading to improved customer satisfaction. \\ A PDF summarizing the case details is available for free! // You can view it by clicking "Download Catalog" below, so feel free to download it.
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Are you struggling with issues such as "the burden on the site due to analog inventory management" and "manual ordering tasks"? This document summarizes case studies from the circuit board assembly industry that successfully improved operational efficiency and productivity by implementing SmartF. It specifically explains how SmartF addressed the inefficiencies of increased component inventory due to business expansion and analog management through handwritten methods, in a Before/After format! 【Case Study Highlights (Partial)】 ■ A case where handwritten entries on shelf cards and manual inventory checks were eliminated, resulting in a total reduction of over 1,000 hours in labor. ■ A case that achieved a reduction of 1,210 hours in labor annually through paperless and efficient ordering processes. ■ A case where sending errors in ordering emails were eliminated, and the electronic storage of order data was automated. \\ A PDF summarizing the details of these case studies is available for free! // You can view it by downloading from the "Download Catalog" link below, so feel free to download it.
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Are you struggling with complex inventory management due to a wide variety of products in small quantities and order-based production, as well as tasks that have become dependent on specific individuals? This document summarizes case studies from the assembly industry that successfully implemented SmartF to improve operational efficiency and productivity. It provides a detailed explanation in a concrete Before/After format of how various companies addressed challenges such as reducing the burden of inventory management, preventing ordering mistakes, and achieving accurate cost management! 【Case Study Highlights (Partial)】 ■ Significantly reduced the burden of monthly inventory checks conducted with paper and Excel, achieving a reduction of approximately 1,000 hours of labor over six months. This case reduced inventory discrepancies through real-time inventory updates and resolved differences in inventory recognition between the manufacturing site and the production management department. ■ Successfully systematized inventory management, compressing annual inventory costs by about 1 million yen. This case eliminated the need for on-site and purchasing teams to confirm incoming goods, resulting in a labor reduction of 72 hours per year. ■ Unified management of inventory between in-house and external warehouses, improving the dependency on specific individuals for picking operations. Inventory tasks that involved handwritten notes and Excel transcription were completed by one person in just one hour. \\ A PDF summarizing the details of these case studies is available for free! // You can view it by clicking "Download Catalog" below, so feel free to download it.
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To continue quality improvement, it is important to have a system where anyone can proceed with the same steps. This article concretely illustrates how to effectively implement the PDCA cycle using the QC story, with diagrams and examples. 【What you can learn from this explanatory article】 - The basic structure of the QC story and its relationship with PDCA - The purposes and selection methods for four types, including problem-solving types - How to proceed based on examples and tips for cause analysis - Goal setting and role division to prevent failures - Accelerating data analysis through system integration The article also explains the background of QC story implementation, its differences from TQM, and continuous monitoring methods, providing concrete strategies for teams to aim for quality improvement together. Additionally, through a case study that allows you to experience the steps taken to reduce foreign matter contamination in a food factory by half, you can confirm the flow from theme selection to standardization. Furthermore, points for mitigating future risks through proactive prevention methods are also introduced. >> You can read more in the article linked below【▶ Click here for the full article】! <<
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【What You Can Understand from This Explanatory Article】 - The purpose and mechanism of ISO 9001 - Three reasons for stagnation in acquisition rates - Four major benefits gained from certification - An overview of PDCA, risk thinking, and the seven principles - Key points for determining necessity The article also includes examples of partial acquisition strategies to minimize cost burdens and step-by-step education programs, providing tips that can be flexibly utilized according to your company's size and transaction environment. At the end of the article, six points for effectively promoting ISO 9001 are also organized. >> You can view the continuation in the [▶ article text here]! <<
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From the perspective of quality assurance in the manufacturing industry, validation is extremely important. It is particularly emphasized in fields such as pharmaceuticals and the food industry, where strict regulations are required. This article will provide a detailed explanation of what validation means in the context of GMP. 【What you can learn from this explanatory article】 - Definition and purpose of validation - Types of validation - Steps for qualification assessment - Subjects of validation, etc. >> You can read more in the article below 【▶ Click here for the full text】! <<
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Mistakes in label application are never-ending—Pokayoke is the fastest improvement measure for such situations. This article explains two methods: the "prevent from happening" approach that physically stops mistakes, and the "notify and stop" method that instantly detects errors using sensors and barcodes, illustrated with three case studies. It introduces low-cost procedures that can be started, such as utilizing jigs, color identification, and handheld device integration. 【What you can learn from this explanatory article】 - Pokayoke and Pokamisu - Software/hardware measures for Pokayoke - Specific countermeasures for skipping processes and mislabeling - Points to consider when implementing a barcode system, etc. >> You can read more in the article linked below 【▶ Click here for the full text】! <<
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Forecasting (demand forecasting) is an essential method for production, ordering, and inventory management in the manufacturing industry. This article organizes the basic concepts of forecasting and its differences from backcasting, while explaining how to maintain forecasting accuracy in manufacturing settings. Specifically, it introduces points such as how to analyze past performance data, labor data, and market trends, how to differentiate between ordering methods (quantitative ordering / periodic ordering), and how to collaborate with sales and supply chains. Furthermore, it presents efficiency methods through data automation using production management systems, incorporating successful case studies while considering the resource constraints and personalization challenges that small and medium-sized enterprises often face. 【What you can learn from this explanatory article】 - The basics and significance of forecasting (demand forecasting) - Differences from backcasting and how to differentiate their use - Application methods in production and ordering operations - Tips for improving forecasting accuracy through data automation - Challenges unique to medium-sized enterprises and perspectives for solutions, etc. >> You can read more in the article linked below【▶ Click here for the full article】! <<
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"SmartF" is a cloud-based production management system that allows for low-cost and small-scale startup. It consolidates operations such as inventory, processes, and costs into a "visualization," reducing waste, labor, and costs. ◆ What you can do with SmartF ✅ Work records can be made without hassle or mistakes using QR codes and barcodes. ✅ Prevents incorrect use of parts by checking part numbers and lot numbers. ✅ Achieves real-time and accurate parts inventory management by utilizing QR codes and barcodes. ✅ Significantly reduces ordering effort through required quantity calculations and bulk ordering/order linkage. ✅ Gate function using QR codes and barcodes (prevents skipping processes and checks inspection status). ✅ All part lots and production information can be traced through data. ✅ Visualization of actual costs from various perspectives such as by part number and lot number, etc. ◆ Examples of implementation effects - Reduced inventory costs by 1 million yen annually. - Reduced inventory counting labor by 560 hours annually. - Reduced annual waste losses of several tens of millions of yen to zero. - Handwritten Excel tasks reduced to zero. ◆ Main features Inventory management / Material management / Process management / Production planning / Order management / Cost management / Warehouse management / Quality management \ Don't fail in system selection! Free distribution of the 'Production Management System Selection Guide'! / Please check it out by downloading the catalog.
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"SmartF" is a cloud-based production management system that allows for low-cost and small-scale startups. It consolidates operations such as inventory, processes, and costs into a "visualization," reducing waste, labor, and costs. ◆ What you can do with SmartF ✅ Record work effortlessly and accurately using QR codes and barcodes ✅ Eliminate misuse through part number checks ✅ Achieve real-time and accurate parts inventory management by utilizing QR codes and barcodes ✅ Significantly reduce ordering effort through required quantity calculations and bulk ordering/order linkage ✅ Gate function using QR codes and barcodes (preventing process skipping and checking inspection status) ✅ All part lots and production information can be data-traced ✅ Visualization of actual costs from various perspectives such as by part number or lot, etc. ◆ Implementation effects (example) - Reduced inventory costs by 1 million yen annually - Reduced inventory counting labor by 560 hours annually - Reduced annual waste loss of several tens of millions of yen to zero - Handwritten Excel tasks reduced to zero ◆ Main features Inventory management / Material management / Process management / Production planning / Order management / Cost management / Warehouse management / Quality management \ Don't fail in selecting a system! Free distribution of the 'Production Management System Selection Guide'! / Please check it out by downloading the catalog.
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"SmartF" is a cloud-based production management system that allows for low-cost and small-scale starts. It consolidates operations such as inventory, processes, and costs into a "visualization," reducing waste, labor, and costs. ◆ What SmartF can do ✅ Work records can be made effortlessly and without errors using barcodes ✅ Elimination of misuse through part number checks ✅ Real-time and accurate parts inventory management achieved through barcode utilization ✅ Significant reduction in ordering effort through required quantity calculations and bulk ordering/order linkage ✅ Gate function via barcode (checking expiration dates and inspection statuses) ✅ All part lots and production information can be data-traced ✅ Visualization of actual costs from various perspectives, such as by part number or lot ✅ Management of standard costs versus actual costs, etc. ◆ Implementation effects (example) - Reduction of inventory costs by 1 million yen annually - Reduction of inventory counting labor by 560 hours annually - Annual waste loss of several tens of millions of yen → Zero - Handwritten Excel work → Zero ◆ Main features Inventory management / Material management / Process management / Production planning / Order management / Cost management / Warehouse management / Quality management \ Don't fail in system selection! Free distribution of the "Production Management System Selection Guide"! / Please check it out by downloading the catalog.
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"SmartF" is a cloud-based production management system that allows for low-cost and small-scale startups. It consolidates operations such as inventory, processes, and costs into a "visualization," reducing waste, labor, and costs. ◆ What you can do with SmartF ✅ Record work effortlessly and without errors using barcodes ✅ Eliminate misuse through part number checks ✅ Achieve real-time and accurate parts inventory management by utilizing barcodes ✅ Significantly reduce ordering efforts through required quantity calculations and bulk ordering/order linkage ✅ Gate function using barcodes (checking expiration dates and inspection statuses) ✅ Trace all data related to part lots and production information ✅ Visualize actual costs from various perspectives, such as by part number or lot ✅ Manage standard costs and actual costs effectively, among other features ◆ Implementation effects (example) - Reduced inventory costs by 1 million yen annually - Reduced inventory counting labor by 560 hours annually - Reduced annual waste losses of several million yen to zero - Eliminated handwritten Excel tasks to zero ◆ Main features Inventory management / Material management / Process management / Production planning / Order management / Cost management / Warehouse management / Quality management \ Don’t fail in selecting a system! Free distribution of the 'Production Management System Selection Guide' is ongoing! / Please check it out by downloading the catalog.
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"SmartF" is a cloud-based production management system that allows for low-cost and small-scale starts. It consolidates operations such as inventory, processes, and costs into a "visualization," reducing waste, labor, and costs. ◆ What you can do with SmartF ✅ Record work (weighing) effortlessly and without errors using barcodes ✅ Eliminate input mistakes through item number checks and input tank checks ✅ Achieve real-time and accurate raw material inventory management by utilizing barcodes ✅ Significantly reduce ordering effort through bulk ordering and order linkage from required quantity calculations ✅ Gate function using barcodes (checking expiration dates and inspection statuses) ✅ Trace all data related to raw material lots, inspection results, and production information ✅ Visualize actual costs from various perspectives, such as by item number or lot number, etc. ◆ Implementation effects (example) - Reduced inventory costs by 1 million yen annually - Reduced inventory counting labor by 560 hours annually - Reduced annual waste loss of several tens of millions of yen to zero - Eliminated handwritten Excel tasks to zero ◆ Main functions Inventory management / Material management / Process management / Production planning / Order management / Cost management / Warehouse management / Quality management \ Don't fail in system selection! Free distribution of the "Production Management System Selection Guide"! / Please check it out by downloading the catalog.
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"SmartF" is a cloud-based production management system that allows for low-cost and small-scale startups. It consolidates operations such as inventory, processes, and costs into a "visualization" to reduce waste, man-hours, and costs. ◆ What you can do with SmartF - Easily and accurately record work (weighing) using QR codes and barcodes - Prevent incorrect input by checking item numbers, lots, and expiration dates - Achieve real-time and accurate raw material inventory management by utilizing QR codes and barcodes - Significantly reduce ordering effort through bulk ordering and order linkage from required quantity calculations - Gate function using QR codes and barcodes (checking expiration dates and inspection statuses) - Data traceability for all raw material lots, inspection results, and production information - Visualization of actual costs from various perspectives such as item numbers and lots, etc. ◆ Implementation effects (example) - Reduced inventory costs by 1 million yen annually - Reduced inventory counting man-hours by 560 hours annually - Reduced annual waste losses of several tens of millions of yen to zero - Eliminated handwritten Excel tasks to zero ◆ Main functions Inventory management / Material management / Process management / Production planning / Order management / Cost management / Warehouse management / Quality management \ Don't fail in selecting a system! A free "Production Management System Selection Guide" is currently available! / Please check it out by downloading the catalog.
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"SmartF" is a cloud-based production management system that allows for low-cost and small-scale starts. It consolidates operations such as inventory, processes, and costs into a "visualization," reducing waste, labor, and costs. ◆ What SmartF can do - Record work (weighing) effortlessly and without errors using barcodes - Eliminate input mistakes through item number checks and input tank checks - Achieve real-time and accurate raw material inventory management by utilizing barcodes - Significantly reduce ordering effort through required quantity calculations and bulk ordering/order linkage - Gate function using barcodes (checking expiration dates and inspection statuses) - Data traceability for all raw material lots, inspection results, and production information - Visualization of actual costs from various perspectives, such as by item number or lot number, etc. ◆ Implementation effects (example) - Reduced inventory costs by 1 million yen annually - Reduced inventory counting labor by 560 hours annually - Reduced waste losses from several tens of millions of yen annually to zero - Eliminated handwritten Excel tasks to zero ◆ Main functions Inventory management / Material management / Process management / Production planning / Order management / Cost management / Warehouse management / Quality management \ Don't fail in system selection! A free "Production Management System Selection Guide" is available! / Please check it out by downloading the catalog.
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"SmartF" is a cloud-based production management system that allows for low-cost, small-scale startups. It consolidates operations such as inventory, processes, and costs into a "visualization," reducing waste, labor, and costs. ◆ What you can do with SmartF - Easily record work without mistakes using barcodes - Reduce paper on-site with a paperless approach, preventing foreign material contamination - Achieve real-time and accurate raw material inventory management by utilizing barcodes - Significantly reduce ordering effort through bulk ordering and order linkage from required quantity calculations - Cut disposal costs by ensuring first-in, first-out practices and pre-expiration warnings - Automatically aggregate and visualize defective items and disposal costs - Visualize actual costs from various perspectives, such as by item number or lot - Manage budget versus actual costs for standard and actual costs, among other features ◆ Implementation effects (example) - Reduced inventory costs by 1 million yen annually - Reduced inventory counting labor by 560 hours annually - Reduced annual disposal losses of several million yen to zero - Eliminated handwritten Excel tasks to zero ◆ Main features Inventory management / Material management / Process management / Production planning / Order management / Cost management / Warehouse management / Quality management \ Don't fail in system selection! Free distribution of the 'Production Management System Selection Guide'! / Please check it out by downloading the catalog.
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"Smart F" is a cloud-based inventory management system that allows for a small start with low costs and low risks. By visualizing all aspects of the manufacturing site, it reduces waste, losses, and labor hours, achieving a compression of management costs. ◆ Effects of implementing Smart F (example) - Reduced inventory costs by 1 million yen annually - Reduced inventory counting labor hours to one-tenth - Eliminated annual waste losses of several million yen - Eliminated handwritten management and Excel input tasks ◆ Main features (partial) Effective inventory (future inventory), reorder point management, outsourced inventory management, supplied parts management, lot management, area management, expiration date management, site inventory, ordering function integration, production management integration, quality management integration, cost management integration ◆ For customers facing these challenges - Handwritten and Excel management is cumbersome and prone to errors - Unable to know accurate inventory in real-time - Occurrence of stockouts or excess inventory - Desire for detailed inventory management such as lot management <Understand Smart F in 3 minutes> https://youtu.be/kE2jZegz1js
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"Smart F" is a process management cloud system that allows for a small start with low cost and low risk. By visualizing all aspects of the manufacturing site, it reduces waste, losses, and man-hours, achieving a compression of management costs. ◆ Effects of introducing Smart F (example) - Eliminating the aggregation of paper work reports, resulting in a reduction of 1,200 man-hours annually - Real-time progress management leading to a reduction of 100 man-hours annually - Achieving precise cost management through automatic man-hour aggregation ◆ Main features (partial) - Process progress/delivery management - Production planning optimization - Automatic aggregation of man-hours and defects - Integration of production management and cost management - Visualization of workload - Integration with external systems ◆ For customers facing these challenges - Delays in delivery or taking too long to respond to delivery inquiries - Uncertainty about process progress, requiring constant checks - The hassle of handwritten or Excel management
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"Smart F" is a production management cloud system that allows for a small start with low cost and low risk. By visualizing all aspects of the manufacturing site, it reduces waste, losses, and labor hours, achieving a compression of management costs. ◆ Effects of implementing Smart F (example) - Reduced inventory costs by 1 million yen annually - Reduced inventory counting labor hours by 560 hours annually - Eliminated annual waste losses of several million yen - Eliminated handwritten management and Excel input tasks - Eliminated 1,000 site verification tasks each month ◆ List of modules Inventory management, material management, process management/labor hour aggregation, production planning, order management, cost management, warehouse management/WMS, quality management (inspection management/defect aggregation/lot trace) ◆ For customers facing these challenges - Want to eliminate handwritten and Excel management - Cannot eliminate the discrepancy between theoretical and actual inventory - Difficulties in production planning and deadline adjustments due to lack of process progress visibility - Unable to manage order and inventory of purchased parts - Want to visualize costs for each project <Smart F in 3 minutes> https://youtu.be/kE2jZegz1js
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"Smart F" is a quality management cloud system that allows for a small start with low cost and low risk. By visualizing all aspects of the manufacturing site, it reduces waste, loss, and man-hours, achieving a compression of management costs. ◆ Main Features (partial) - Raw material acceptance inspection / In-process inspection / Product inspection registration - Inspection settings for each product number - Lot management / Expiration management / Inspection checks - Issuance of inspection reports - Lot traceability / Reverse lot traceability - Tamper prevention - Integration with production management / inventory management / order management - Integration with external systems ◆ For customers facing these challenges - Double-checking through visual confirmation leads to effort and mistakes - Unable to manage lot management / serial management or expiration management / inspection management - Want to manage traceability and quality assurance systems through a system
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"Smart F" is a cloud-based facility management system that allows for a small start with low cost and low risk. By visualizing all aspects of the manufacturing site, it reduces waste, losses, and man-hours, achieving a compression of management costs. ◆ Effects of introducing Smart F (example) - Reduces inventory work that takes one month to just one week. ◆ Main features (partial) - Equipment ledger management - Equipment operation monitoring/operation aggregation - Inspection management/maintenance planning management - Abnormality recording/manualization of procedures - Inventory management of maintenance parts - Preventive/predictive maintenance - Notification function to prevent parts shortages ◆ For customers facing these challenges - Want to minimize equipment troubles and downtime - Find handwritten or Excel input for equipment maintenance cumbersome - Unable to accumulate information and knowledge on equipment maintenance
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We would like to introduce a case study on the implementation of the pharmaceutical/inventory management system "SmartF" for pharmaceutical raw material manufacturers. At the company, Excel input for shelf number management was performed every time goods were received or shipped, requiring 1 hour of labor from 2 staff members (1 forklift operator and 1 Excel inputter) for warehouse organization. The introduction of handheld terminals eliminated the need for Excel input for inventory transactions. [Case Overview (Partial)] ■Challenges - Spent 30 hours on simple monthly inventory and 40 hours on quarterly inventory. - Discrepancies often occurred between actual inventory and system inventory, making it difficult to locate supposed stock. ■Effects - Successfully reduced annual inventory labor hours by approximately 200 hours. - Achieved accurate tracking of inventory and shelf numbers, virtually eliminating the effort needed to search for actual stock within the warehouse. *For more details, please refer to the related links or feel free to contact us.
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We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Meihan Vacuum Industry Co., Ltd., a chemical manufacturer. The company faced challenges due to the continued operation of manually entering incoming, inventory movement, and stocktaking data into paper and Excel, which placed a significant burden on the staff. As a result of the implementation, by using handheld terminals and QR code operations, manual input was reduced to zero, saving over 3,000 hours of labor annually. [Challenges] ■ After daily incoming operations, the quantity received was manually entered into the Excel inventory management sheet. ■ Inventory movements were also manually entered into the Excel inventory management sheet, making it impossible to check the real-time inventory status on the manufacturing floor. ■ Stocktaking took a full day using shelf tags, and the subsequent stocktaking data took 5 business days to enter manually. ■ To know the accurate inventory, daily requests were made to the site to confirm the actual inventory numbers. *For more details, please refer to the related links or feel free to contact us.
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We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Dainikko Engineering Co., Ltd., a substrate assembly manufacturer. The company faced challenges as inventory checks were conducted manually, taking 10 to 12 business days and placing a heavy burden on the staff. As a result of the implementation, manual data entry for inventory checks was eliminated, resulting in a reduction of over 1,000 hours of labor annually. ■Challenges - Increased time for recording and aggregating data due to handwritten shelf card operations reliant on specific individuals. ■Effects - Transitioned shelf cards to barcode management, nearly eliminating handwritten tasks and saving over 300 hours annually.
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We would like to introduce a case study on the implementation of the raw material inventory management system "SmartF" at Toyo Beauty Co., Ltd., a cosmetics manufacturer. The company faced challenges with approximately five incidents of raw material mix-ups and lot errors occurring annually, resulting in annual losses amounting to several tens of millions of yen. As a result of the implementation, the use of barcode management with handheld terminals eliminated any instances of misuse or incorrect input, reducing the annual loss amount to zero. ■Challenges - Inventory work that took 4 to 5 days with all factories halted ■Effects - Cycle inventory completed in 1.5 days, manageable by one staff member
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We would like to introduce a case study on the implementation of the production management system "SmartF" at Kosei Container Co., Ltd., a manufacturer of reusable containers. The company faced the challenge of having managers manually transcribe and aggregate work results recorded on paper forms by the field staff into Excel, resulting in 20 hours of manual labor each month. As a result of the implementation, work results can now be directly registered into "SmartF" using handheld terminals, eliminating the need for transcription and aggregation, which has led to a reduction of 20 hours (240 hours annually) in labor. ■ Challenges - Responding to inquiries about inventory status occurred frequently, resulting in 1 hour of indirect labor each month. ■ Effects - By updating inventory in real-time, the labor for responding to inquiries was reduced by 1 hour per month.
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We would like to introduce a case study on the implementation of the order management system "SmartF" at Shinsei Electronics Co., Ltd., a manufacturer of electronic components. The company faced a burden with the operational process of printing, stamping, converting to PDF, and emailing order forms each time, resulting in over 1,200 hours of labor annually for 11 purchasing staff members. As a result of the implementation, the EDI ordering function of SmartF allowed for one-click ordering to multiple suppliers, leading to a reduction of 1,210 hours of labor annually. ■ Challenges - The situation of manually saving order form PDFs to comply with the Electronic Bookkeeping Preservation Act. ■ Effects - A system was established for automatic saving on the order EDI, eliminating the need for document saving tasks.
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We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Nitto Denko Corporation, a cosmetics manufacturer. The company faced challenges in accurately grasping future inventory levels and had to manually input required quantity calculations using Excel. As a result of the implementation, by automating the required quantity calculations through CSV integration between the existing system and SmartF, they were able to reduce labor hours by 100 hours annually. [Case Overview (Partial)] ■Challenges - Due to fluctuations in lot numbers, lot records at the site were being maintained manually. ■Effects - Significant reduction in the effort required for handwritten lot records by optimizing the timing of production order issuance.
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We would like to introduce a case study on the implementation of the production management system "SmartF" at Shirakawa Bar Precision Co., Ltd., a metal processing manufacturer. The company faced the challenge of manually entering order registrations every day for about one hour, which made it impossible to eliminate human errors. As a result of the implementation, by switching to bulk importing order information via CSV, the work was reduced to just 10 minutes a day, saving approximately 200 hours of labor annually. 【Case Overview (Partial)】 ■Challenges - Manual entry and visual confirmation of shipping registrations ■Effects - Replaced with barcode scanning using handheld terminals, resulting in an annual labor reduction of about 80 hours.
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We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Fujiyama Co., Ltd., a manufacturer of assembled products. The company faced the challenge of spending approximately 2 hours each day on the task of confirming pickup items. As a result of the implementation, the use of handheld terminals and barcodes allowed this task to be reduced by about 2 hours per day. [Case Overview (Partial)] ■ Challenge - Inventory work that took 3 people 3 hours each month. ■ Effect - Completed by 1 person in 1 hour, resulting in a reduction of 8 hours of labor per month.
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We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Nippon Seiko Co., Ltd., a metal processing manufacturer. The company was spending about two days each month creating a steel inventory management spreadsheet in Excel, placing a significant burden on the responsible personnel. As a result of the implementation, real-time reflection of inbound and outbound data became possible through handheld devices and barcode management, reducing the time required to create the inventory management spreadsheet to 2-3 hours per month (approximately an 85% reduction). [Case Overview (Partial)] ■ Issues - Insufficient adherence to first-in, first-out (FIFO) due to inadequate material lot management. ■ Effects - Complete compliance with FIFO and lot specification through the lot traceability function.
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We would like to introduce a case study on the implementation of the raw material inventory and order management system "SmartF" at Ocell Co., Ltd., a cosmetics manufacturer. The company faced a challenge as they were estimating future inventory using Excel every time they created a weekly order plan, which took about 30 minutes each time. As a result of the implementation, SmartF automatically reconciles production plans with raw material inventory, suggesting reorder points and reducing the order planning time to 10 minutes, saving approximately 17 hours annually. [Case Overview (Partial)] ■Challenges - Inventory work that took 3 hours longer than expected. ■Effects - By utilizing barcodes and conducting cyclical inventory, inventory work was shortened by 3 hours.
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We would like to introduce a case study on the implementation of the inventory management system "SmartF" at H.I. Corporation, a food manufacturer. The company faced the challenge of incurring significant additional costs each time they updated their on-premises inventory management system for the food industry. As a result of the implementation, transitioning to the cloud-based SmartF allowed them to significantly reduce update costs while still being able to manage expiration dates and variable-weight (raw materials with fluctuating weights) as they had previously. [Case Overview (Partial)] ■Challenges - The inventory value of variable-weight items could only be calculated based on average unit prices. ■Effects - It became possible to calculate inventory values based on actual unit prices, streamlining the reconciliation with the sales and administrative system.
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We would like to introduce a case study on the implementation of the process management system "SmartF" at a fine ceramics product manufacturing company. The company faced the challenge of spending six hours daily to transcribe and aggregate work performance data for 25 employees into Excel. As a result of the implementation, by switching to a system where performance data is directly entered via handheld devices and automatically aggregated, the time spent on performance aggregation was halved, resulting in an annual reduction of approximately 780 hours of labor (from 6 hours to 3 hours per day). [Case Overview (Partial)] ■Challenges - Three employees were spending one hour each day on progress aggregation tasks to check production progress. ■Effects - The progress aggregation tasks can now be output instantly on a PC, resulting in an annual reduction of approximately 780 hours of labor.
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