Manufacturing Technology

Optimizing Manufacturing Production Scheduling (MPS) using constraint programming

July 7, 2022

Optimizing manufacturing production whitepaper
Production scheduling primarily deals with arranging different jobs in various machines based on the timelines for each job. There can be numerous combinations of schedules possible. Production schedules can be designed to maximize the capacity utilization, minimize idle time of the machine, earliness, overall costs etc. Manual design of a schedule can be a tedious and time consuming task. There are a lot of dependencies which the scheduler needs to tweak based on a single change. Generating a production schedule targeting a specific objective function can be done using mathematical models. Mathematical models involve formulating the production scheduling problem as an optimization model wherein there is a certain objective function which needs to be optimized based on a set of constraints. Mathematical models generally outperform manually designed schedules which involve a lot of inter-dependencies among the jobs. Due to improvement in computational power, developing a production schedule using mathematical models is relatively quick and efficient.

Spotlight

Speedline Technologies

Speedline Technologies is part of the Test & Measurement and Electronics segment of Illinois Tools Works Inc. (NYSE: ITW), a Fortune 200 global industrial manufacturer with operations in 58 countries. Speedline is a developer and provider of capital equipment used in electronics manufacturing, and is found in premier printed circuit board (PCB) assembly facilities the world over.

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