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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

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.

We would like to introduce a case study on the implementation of the production management system "SmartF" at Techno Device Co., Ltd., a manufacturer of ceramic sensors (electronic components). The company faced challenges in real-time visualization of progress by process and equipment operating status. As a result of the implementation, productivity improved by approximately 15% due to real-time progress tracking, and early detection and response to manufacturing delays became possible. [Case Overview (Partial)] ■Challenges - Lack of real-time understanding of production progress ■Effects - 15% increase in productivity - Early detection and response to manufacturing delays *For more details, please refer to the related links or feel free to contact us.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Asahi Kasei Corporation, a manufacturer of automotive parts. At the company, products were visually checked for first-in, first-out (FIFO) management, which led to increased workload and human errors. As a result of the implementation, switching to a system where barcodes are verified using handheld terminals allowed for the prevention of erroneous shipments through a warning function, ensuring strict adherence to FIFO. [Case Overview (Partial)] ■Challenges - The effort and time required to check inventory in the warehouse ■Effects - Real-time visibility of inventory on the PC significantly reduced the labor required for on-site movements.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" for rental companies in the construction materials rental industry. The company faced challenges with manually entering sales and purchase invoices into paper and Excel, leading to increased input labor and errors. As a result of the implementation, by recording shipments and receipts with handheld devices and automatically linking them to the core system, the labor for invoice entry was reduced by 80%. [Case Overview (Partial)] ■Challenges - Losses of 3 to 5 million yen annually due to over-ordering leading to expired items and disposal of items with changed specifications. ■Effects - Accurate inventory management eliminated over-ordering and stockouts, reducing annual losses by 3 to 5 million yen.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" at a gas generation equipment manufacturing and sales company in the assembly industry. The company faced challenges as the operation of manually recording the incoming and outgoing maintenance parts on paper and bringing them to the head office often led to record omissions and entry errors, making it difficult to accurately grasp the inventory levels. As a result of the implementation, by switching to a system where barcodes are scanned with a handheld device to record incoming and outgoing items, the effort required for paper entry and transporting records to the head office was reduced by 80%. [Case Overview (Partial)] ■Challenges - Record omissions and errors due to unestablished incoming and outgoing rules ■Effects - Unified rules allow for immediate understanding of who made what mistakes and when.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" for a processed food wholesale company in the logistics warehouse industry. The company was operating with a system where shipping and receiving slips were manually filled out on paper and then entered into the existing system, resulting in 2 to 3 hours of input labor each day. As a result of the implementation, the process was revamped to read barcodes with handheld devices and directly import the actual data into the core system, reducing the slip input time to 30 minutes and cutting input labor by approximately 80%. [Case Overview (Partial)] ■Challenges - Unable to accurately grasp inventory levels, leading to input errors and omissions. ■Effects - Prevented shipping and receiving errors through barcode verification, allowing anyone to process accurately.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Iwasaki Co., Ltd., a manufacturer of assembled products. The company faced challenges with double ordering and excess inventory due to their kanban ordering system, which made it difficult to accurately grasp the inventory levels. As a result of the implementation, real-time visibility of inventory was achieved, leading to optimal inventory levels and an annual reduction of approximately 1 million yen in inventory costs. 【Case Overview (Partial)】 ■Challenges - There was a need to constantly confirm the arrival of ordered materials with the purchasing department, as it could not be checked on-site. - There were personalized ordering methods that only veteran purchasing staff could handle. ■Effects - The need for on-site and purchasing staff to confirm arrivals was eliminated, resulting in a reduction of 72 hours of labor annually. - The time spent by purchasing staff on ordering tasks was reduced by 80 hours annually. *For more details, please refer to the related links or feel free to contact us.

We would like to introduce a case study on the implementation of the maintenance parts inventory management system "SmartF" for a food manufacturer in Nagasaki Prefecture, a non-public company. The company was facing issues as workers were transcribing inbound and outbound data and inventory data using paper and Excel, leading to errors and omissions in recording. This resulted in an inability to accurately grasp the inventory quantity and value, and during unexpected troubles, parts could not be found, causing production line stoppages. As a result of the implementation, the operation was switched to automatically recording inbound and outbound transactions and inventory using barcode scanning with handheld devices, eliminating the time spent on inputting data from paper to Excel. This allowed for an increase in inventory counts from twice a year to four times a year while significantly reducing labor hours. [Case Overview (Partial)] ■Challenges - Risk of production line stoppage due to inability to locate inventory parts ■Effects - Prevention of line stoppages through real-time inventory management, doubling the frequency of inventory counts.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Mabuchi Motor Oken Co., Ltd., a manufacturer of assembled products. The company faced the challenge of excessive inventory counting labor, as they had to stop production for half a day to a full day during monthly inventory checks and required more than a day for manual counting and Excel aggregation. As a result of the implementation, real-time inventory updates using handheld terminals and SmartF allowed for a reduction of approximately 1,000 hours in inventory counting labor over six months. [Case Overview (Partial)] ■Challenges - Risk of stockouts due to discrepancies between theoretical and actual inventory ■Effects - Constant awareness of the latest inventory enabling accurate ordering

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.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" at medical device manufacturer Company A. The company was conducting monthly inventory checks using paper inventory sheets, which required two workers to spend 2 to 3 hours, and during months with large stock inflows, the time would extend even further, posing a challenge. As a result of the implementation, by switching to an operation where labels are scanned with handheld devices, we were able to reduce inventory check time by up to approximately 50%. [Case Overview (Partial)] ■Challenges - Entry and calculation errors due to paper-based inventory sheets ■Effects - Elimination of calculation errors through handheld devices and automatic aggregation

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.

We would like to introduce a case study on the implementation of the maintenance parts inventory management system "SmartF" at an automotive parts manufacturing company. The company had been managing maintenance parts for production equipment using paper and orders from various departments, which led to repeated duplicate orders and a continuous increase in excess inventory. As a result of the implementation, by centrally managing inventory with barcode labels and handheld devices, the company was able to reduce excess inventory of maintenance parts by approximately 1.2 million yen. [Case Overview (Partial)] ■Challenges - Ordering mistakes occurred due to not knowing the storage location when the dedicated person was absent. ■Effects - Significant reduction in parts search and ordering workload through the use of handheld devices.

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.

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.

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.

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

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.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Toyama Megumi Pharmaceutical Co., Ltd. The company was manually calculating future inventory by cross-referencing production planning data and current stock levels in Excel, which forced staff to work overtime to prevent order omissions, posing a significant challenge. As a result of the implementation, SmartF linked production planning data with inventory to automatically calculate future stock, allowing for the systematization and division of order processing tasks, which eliminated overtime associated with ordering. ■Challenges - Personalization and errors due to order processing being dependent on experience ■Effects - Elimination of order omissions and mistakes, reduction of psychological burden

We would like to introduce a case study on the implementation of the inventory management system "SmartF" for a system development company in the industrial machinery equipment industry. The company faced challenges due to manual data entry on computers for recording 24-hour inventory movements, leading to increased input labor and errors. As a result of the implementation, switching to handheld terminals and barcode operations reduced input labor by 176 hours annually and significantly decreased input errors. [Case Overview (Partial)] ■Challenges - Difficulty in identifying the causes of inventory discrepancies, resulting in excessive inventory labor. ■Effects - Reduced inventory labor by 25 hours annually and suppressed the occurrence of discrepancies.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" at Maruka Co., Ltd., a company in the unloading and logistics warehouse industry. The company faces the challenge of incorrect shipments occurring every 2 to 3 months due to the mix-up of products with similar appearances and part numbers. As a result of the implementation, by switching to barcode verification using handheld terminals, the number of incorrect shipments has been reduced to zero annually. [Case Overview (Partial)] ■ Challenges - The inventory process, which was primarily analog, required 2 days to complete due to a shortage of manpower. ■ Effects - By transitioning to barcode inventory, it is expected that the inventory can be completed in one day.

We would like to introduce a case study on the implementation of the maintenance parts inventory management system "SmartF" for a bread manufacturing company. The company was facing challenges as they were conducting inventory of approximately 10,000 maintenance parts using paper and Excel, which required 15 people a week to count, followed by an additional month for transcription and aggregation. As a result of the implementation, by switching to barcode recording for inventory and stock management using handheld devices, the inventory period was shortened from one month to one week, and the labor required for inventory was reduced by over 80%. [Case Overview (Partial)] ■Challenges - Line stoppages due to parts shortages occurring more than 10 times a month. ■Effects - Achieved zero stockouts through order point management, preventing production line stoppages.

We would like to introduce a case study on the implementation of the raw material inventory management system "SmartF" at Kasumi Shokken Co., Ltd., a food manufacturer. The company was facing a significant burden from the manual verification of raw material inventory counts and recording them on paper, which required four employees to spend two hours each day. As a result of the implementation, they were able to automate the recording of incoming and outgoing shipments through the use of raw material labels and handheld devices, reducing the labor required for inventory count verification by approximately 95%. [Case Overview (Partial)] ■ Challenges - Increased waste loss due to the time spent searching for raw materials during shipping and inadequate adherence to the first-in, first-out (FIFO) method. ■ Effects - By thoroughly managing areas, lots, and expiration dates, the time spent searching was eliminated, contributing to zero waste.

We would like to introduce a case study on the implementation of the inventory management system "SmartF" at LinkWiz Inc., a robot software manufacturer. The company faced the challenge of spending a significant amount of time verifying order details by cross-referencing BOMs and Excel sheets for each order, which placed a heavy burden on the staff. As a result of the implementation, by automating the linkage between BOMs and item masters with SmartF and establishing a standardized ordering flow, the company was able to reduce order confirmation labor hours by approximately 400 hours annually. [Case Overview (Partial)] ■Challenges - Increased labor hours due to complex inventory tasks ■Effects - Reduced inventory labor hours by 120 hours annually

We would like to introduce a case study of the implementation of "SmartF," which utilizes inventory management functions as a date inspection system for a processed food manufacturing company. The company faced challenges with their operation of manually matching instruction sheets and product labels one by one. There was a high risk of incorrect shipments, particularly of expired products, and the verification process took a significant amount of time. As a result of the implementation, by switching to a system that verifies product numbers and expiration dates using handheld devices, they were able to prevent 99% of shipments of expired products. [Case Overview (Partial)] ■Challenges - Excessive labor involved in verification tasks due to manual checks ■Effects - Halved labor through verification using handheld devices

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.

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.

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.

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.

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.

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.

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.

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.

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.

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】! <<

"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.

"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.

"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.

"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.

"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.

"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.

"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.

"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.

"We will answer the question, 'How should I compare the many production management systems available?' This article organizes the comparison of 22 production management systems based on four perspectives: 'functions,' 'delivery methods,' 'costs,' and 'implementation steps.' Starting with a comparison of key functions such as order management, inventory management, process progress management, and cost management, we also introduce points for distinguishing between cloud-based, on-premises, and hybrid models, as well as assessing their suitability for your company's production methods and scale. Additionally, we include hidden costs to watch out for when comparing estimates and a 90-day roadmap for successfully implementing the system. 【What you can learn from this explanatory article】 Differences in key functions revealed by comparing 22 companies How to choose a delivery method and points to consider Hidden costs that can become pitfalls during estimation How to proceed from initial implementation to establishment >> You can read more in the article linked below 【▶ Click here for the full article】! <<