Abstract
In the competitive global marketplace, production scheduling plays a vital role in planning in manufacturing. Scheduling deals directly with the time to output products quickly and with a low production cost. This research examines case study of a Radio-Frequency Identification labeling department at Avery Dennison. The main objective of the company is to have a method that allows for the sequencing and scheduling of a set of jobs so it can be completed on or before the customer’s due date to minimize the number of late orders. This study analyzes the flexible flow shop scheduling problem with a sequence dependent setup by modifying the processing time and setup time to minimize the makespan on multiple machines. Based on the defined mathematical model, this study includes an alternative approach and application of heuristic algorithm with the input being big data. Both optimization programs are used in this study and compared to determine which method can better solve the company’s problems. The proposed algorithm is able to improve machine utilization with large-scale problems.
Highlights
Planning and scheduling play a vital role in the supply chain in the manufacturing and service industry
This study aims to develop a mathematical model to solve the scheduling problem of the flexible flow shop (FFS) shop manufacturing system with a sequence-dependent setup time and develop a new approach for large size problems using the heuristic algorithm
After running all the data with the appropriate code, the model derived the optimal solution, which satisfied the requirements of the processing time, setup time and sequence constraints
Summary
Planning and scheduling play a vital role in the supply chain in the manufacturing and service industry. It encompasses allocated, limited resources, as well as the activities that must be accomplished [1,2,3,4,5]. A plan defines what must be done; a schedule specifies both how and when it will be done. The schedule refers to the estimates of the time and resources for each activity, including a set of objectives used to measure the performance of the schedule. The optimal allocation will optimize the objectives of the enterprise, reducing time and costs. Efficient scheduling is critical for the industries to survive in the competitive business market
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