ネクスタ List of Products and Services

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 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.

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

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.

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.

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.