2019The Proceedings of Manufacturing Systems Division ConferenceRequires access

Study on Schedule Generation for Manufacturing Execution System

Toshihisa Fujiwara, Daisuke Morita, Ryo Yonemoto, Haruhiko Suwa

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Abstract

In order to make manufacturing more environmentally friendly, the planning system, which makes decisions, must be connected to information in the execution system, which controls actual progress. However, on the ground this is not entirely the case due to the existence of production equipments with different functions. Furthermore, in the execution system, things not originally expected in the planning system arise due to situations dynamically changing. As part of feedback function development, this paper attempts to generate schedules for situations in which limits are placed on usable energy based on real-time information. It uses a manufacturing execution system that allows for information (such as productivity and energy consumption) measurement and feedback in real-time.

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What this paper is about

In order to make manufacturing more environmentally friendly, the planning system, which makes decisions, must be connected to information in the execution system, which controls actual progress. However, on the ground this is not entirely the case due to the existence of production equipments with different functions. Furthermore, in the execution system, things not originally expected in the planning system arise due to situations dynamically changing. As part of feedback function development, this paper attempts to generate schedules for situations in which limits are placed on usable energy based on real-time information. It uses a manufacturing execution system that allows for information (such as productivity and energy consumption) measurement and feedback in real-time.

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Available abstract

In order to make manufacturing more environmentally friendly, the planning system, which makes decisions, must be connected to information in the execution system, which controls actual progress. However, on the ground this is not entirely the case due to the existence of production equipments with different functions. Furthermore, in the execution system, things not originally expected in the planning system arise due to situations dynamically changing. As part of feedback function development, this paper attempts to generate schedules for situations in which limits are placed on usable energy based on real-time information. It uses a manufacturing execution system that allows for information (such as productivity and energy consumption) measurement and feedback in real-time.

Key concepts: USable, Schedule, Computer science, Production (economics), Function (biology), Energy consumption, Production schedule, Order (exchange)

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