Case Study: Streamlining Manufacturing Management Operations through a Production Order Deployment and Performance Collection System
Enables real-time understanding of raw material inventory and cost analysis by order unit. Achieves centralization of production performance data, improving manufacturing management efficiency by 15%.
Related Products: MainGATE/PO・EM ・MainGATE/PO (Manufacturing Instruction Deployment): Based on the factory's conditions and the production plan from the upper system, it automatically issues manufacturing and work instructions. ・MainGATE/EM (Event Integration Management): Based on the process information and process transition rules received from the manufacturing instruction system (PO), it monitors the manufacturing/work execution status within and between processes and manages progress.
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basic information
Case study of the introduction of a manufacturing order deployment and performance collection system. Chemical manufacturer Company A relied on monthly inventory for understanding consumption performance and calculated costs on a monthly basis, resulting in inefficient data utilization. Therefore, they implemented a manufacturing order deployment and performance collection system, centralizing production performance data and achieving real-time understanding of raw material inventory, which improved the efficiency of manufacturing management operations by 15%.
Applications/Examples of results
[Challenges Before Implementation] In the process of renewing the core system with the aim of enhancing management sophistication and improving business speed, consumption performance was monitored through monthly inventory. Due to the monthly management, costs could only be calculated on a monthly basis, resulting in a situation where waste and losses were not visible. Additionally, while manufacturing performance data was managed by the system, it was dispersed across various systems, and data integration was not achieved. [Effects After Implementation] By realizing the following, the efficiency of manufacturing management operations improved by 15%. - Deployment of instructions aligned with production progress: Instructions were deployed according to production progress, improving planning accuracy. - Real-time understanding of raw material inventory: The accuracy of inventory management improved, enabling cost analysis at the instruction level. - Centralized management of production performance data: Administrative work efficiency was significantly improved.
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Case Study: Streamlining Manufacturing Management Operations through the Implementation of a Production Order Deployment and Performance Collection System
Current Status and Challenges of DX in Manufacturing Management in the Chemical Industry
Company information
Providing solutions for various plants and factories such as food, chemicals, oil and gas pipelines, paper and pulp, and cleaning facilities. Our measurement and control systems have over 40 years of history since the launch of the first distributed control system in 1975. Based on our track record, we propose systems and solutions to support the latest technologies, IoT utilization, and the development of smart factories. - Steam generation heat pumps / waste heat utilization / visualization of thermal energy - Clamp-on steam flow meters / flow meters / flow sensors / thermal balance analysis - Industrial furnaces / electric furnaces / high-frequency induction furnaces / IGBT power supplies - Gas analyzers / gas measurement devices / gas analysis sensors - Predictive maintenance / anomaly detection maintenance / preventive maintenance / maintenance and prevention systems / smart security - Smart factory - MES / DCS / SCADA / edge controllers - EMS / energy management systems / visualization of energy - Smart glasses / remote work support systems - Multivariate analysis / MSPC - Engineering tools
![[Third-party maintenance case] Extension of the system for inventory and stock management.](https://image.mono.ipros.com/public/product/image/339/2001534335/IPROS9714206055053546513.jpg?w=280&h=280)
