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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.

• Production Management System
• Other production management systems

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.

• Cost Management System
• Production Management System

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.

• Production Management System
• Process Control System
• Cost Management System

"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

• Production Management System
• Process Control System
• Cost Management System

"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

• Production Management System
• Process Control System
• Cost Management System

"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

• Production Management System
• Process Control System
• Production Scheduler

"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

• Production Management System
• Process Control System
• Cost Management System

"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

• Production Management System
• Process Control System
• Cost Management System

"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

• Production Management System
• Process Control System
• Cost Management System

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.

• Other production management systems

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.

• Other production management systems

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.

• Production Management System

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

• Production Management System

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.

• Production Management System

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.

• Production Management System

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.

• Production Management System

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.

• Production Management System

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.

• Production Management System

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.

• Production Management System

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.

• Production Management System

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.

• Production Management System

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.

• Production Management System

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

• Production Management System

We would like to introduce a case study on the implementation of the production management system "SmartF" at a robot equipment manufacturing company. The company faced challenges as they were recording production information by hand on paper, leading to a significant amount of traceability work and making it difficult to notice human errors. As a result of the implementation, by centralizing production information management with SmartF and eliminating handwritten tasks, they were able to prevent human errors while significantly reducing labor hours. [Case Overview (Partial)] ■Challenges - Increased analysis labor hours due to manual entry of paper inspection records into Excel. ■Effects - Inspection data can now be output as CSV, eliminating transcription work and significantly reducing analysis time.

• Production Management System

We would like to introduce a case study on the implementation of the production management system "SmartF" at Hard Rock Industries Co., Ltd., a metal processing manufacturer. The company was managing material inventory and orders using Excel, manually entering over 1,000 inbound and outbound transactions each month, resulting in 30 hours of input labor per month. As a result of the implementation, they were able to register data directly from the site using SmartF and barcode operations, reducing input labor by 30 hours per month (360 hours annually). [Case Overview (Partial)] ■Challenges - Risk of incorrect shipments due to visual checks and handwritten lot entries ■Effects - Achieved zero incorrect shipments through QR code verification.

• Production Management System

We would like to introduce a case study on the implementation of the production management system "SmartF" at Miyakawa Kasei Kogyo Co., Ltd., a manufacturer of molded products. The company faced the challenge of spending approximately 100 hours per month on the task of entering daily reports created by on-site workers into Excel at the office. As a result of the implementation, switching to inputting work performance via barcode eliminated the input task entirely, resulting in a reduction of about 100 hours per month (approximately 1,200 hours annually), achieving the equivalent of one person's workload reduction. [Case Overview (Partial)] ■Challenge - Inventory confirmation task that took 30 minutes every morning ■Effect - Elimination of the inventory confirmation task, resulting in a reduction of 10 hours of labor per month.

• Production Management System

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.

• Production Management System

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.

• Production Management System

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.

• Production Management System

We would like to introduce a case study on the implementation of the cost management system "SmartF" at Time Machine Co., Ltd., a manufacturer of assembled products. The company faced the challenge of needing 1 to 2 personnel (equivalent to 40 to 80 hours) for outsourcing to perform cost calculations by product. As a result of the implementation, SmartF enabled automatic product-specific cost management, allowing for a reduction in labor costs and hours equivalent to 40 to 80 hours. [Case Overview (Partial)] ■Challenges - Unable to grasp inventory except through monthly stocktaking, and unable to aggregate labor hours. ■Effects - Established a system that enables detailed gross profit analysis through real-time inventory management and system labor hour aggregation.

• Production Management System

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.

• Production Management System

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

• Production Management System

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.

• Production Management System

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 man-hours associated with visual verification and matching tasks ■Effects - Halved man-hours through matching with handheld devices

• Production Management System

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

• Production Management System

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

• Production Management System

We would like to introduce a case study on the implementation of the shipping inspection management system "SmartF" at Taniyo Shokai Co., Ltd., a manufacturer in the unloading and logistics warehouse industry. The company faced challenges as they were manually verifying invoices and products with pairs of two people before shipping, resulting in 7 to 8 incorrect shipments per month and a heavy burden on inspection work. As a result of the implementation, switching to barcode verification using handheld devices eliminated incorrect shipments entirely, and the speed of inspection work improved by approximately four times. [Case Overview (Partial)] ■ Challenges - Increased labor due to manual inspection by pairs and risk of incorrect shipments ■ Effects - Inspection work speed improved by 3 to 4 times, achieving zero incorrect shipments

• Production Management System

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.

• Production Management System

We would like to introduce a case study on the implementation of the shipment inspection management system "SmartF" at Saga Co., Ltd., a cosmetics manufacturer. With the operation of the new warehouse, there was a risk of product mix-ups and quantity errors occurring with only visual checks. As a result of the implementation, by switching to operations that involve barcode verification using handheld devices, the number of shipping errors for barcode-labeled products has been reduced to zero. [Case Overview (Partial)] ■Challenges - It took time to confirm the quantities of multiple shipped items, increasing the labor required for double-checking. ■Effects - Prevented quantity errors through full barcode verification, allowing anyone to perform tasks accurately.

• Production Management System

We would like to introduce a case study on the implementation of the verification inspection system "SmartF" for screw and bolt manufacturing companies. The company faced challenges as they manually checked the product labels and outer labels one by one, resulting in 2 to 3 instances of label misapplication per year and a significant amount of inspection labor. As a result of the implementation, switching to a system where both labels' barcodes are verified using handheld devices eliminated label misapplication entirely, and the efficiency of the inspection work improved by more than double. [Case Overview (Partial)] ■Challenges - Increased inspection labor due to manual verification and occurrence of human errors ■Effects - Achieved over double the efficiency of inspection work and zero instances of label misapplication.

• Production Management System

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.

• Production Management System

We would like to introduce a case study on the implementation of the label issuance system "SmartF" at Salvagnini Japan Co., Ltd., a manufacturer of assembled products. The company was manually inputting and printing domestic labels for parts arriving from overseas using Excel, then cutting and replacing them with scissors, resulting in a 20-minute task occurring 2 to 3 times a week. As a result of the implementation, by switching to a system where part numbers are read with a handheld device and barcode labels are issued on the spot, the labor involved in creating part labels was reduced by 80%. [Case Overview (Partial)] ■Challenges - Increased labor hours for label creation due to Excel input and manual application. ■Effects - Significant reduction in labor hours for label creation through the use of handheld devices, which can also be utilized for inventory management.

• Production Management System

We would like to introduce a case study on the implementation of the asset management system "SmartF" at a chemical manufacturing company. The company faced the challenge of being unable to conduct an inventory of fixed assets, resulting in numerous ghost assets and the continued payment of approximately 300,000 yen annually in unnecessary fixed asset taxes. As a result of the implementation, by attaching barcode labels and conducting inventory with handheld devices, they were able to identify ghost assets and reduce unnecessary fixed asset taxes by approximately 300,000 yen per year. [Case Overview (Partial)] ■ Challenge - Inability to accurately grasp the status of assets due to missed updates in the Excel asset ledger. ■ Effect - Real-time understanding of the status of all fixed assets, achieving proper management.

• Production Management System

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.

• Production Management System

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.

• Production Management System