Content area

Abstract

This paper presents mathematical formulations to an application observed at an electronics manufacturer. After assembly, the electronic products are subjected to different accelerated tests using Batch Processing Machines (BPMs) arranged in a flow shop. A BPM can process several jobs simultaneously. When forming batches, the total size of all the jobs contained in a batch cannot exceed the machine capacity. The configuration of the batch affects the batch processing time and its due date. Due to the nature of the test conducted, the jobs cannot wait for more than a certain amount of time between two machines. The objective is to minimize the makespan and the maximum tardiness. The processing times, due dates, and sizes of the jobs are given. The capacity of the BPMs is known. This paper presents a weighted sum and a goal programming formulations of the problem under study. Heuristics were also developed. An experimental study compares the different formulations, and the heuristics based on solution quality and run time.

Details

1007133
Title
Scheduling Batch Processing Machines in a Flow Shop with Two Objectives and Limited Waiting Time Constraints
Author
Jayaraman, Harish 1 ; Sivakumar, Prithick 1 ; Muthuswamy, Shanthi 2 ; Damodaran, Purushothaman 1 

 Department of Industrial and Systems Engineering 
 Department of Engineering Technology Northern Illinois University, DeKalb, IL, USA 60115 
Publication title
Pages
1-6
Number of pages
7
Publication year
2025
Publication date
2025
Publisher
Institute of Industrial and Systems Engineers (IISE)
Place of publication
Norcross
Country of publication
United States
Source type
Scholarly Journal
Language of publication
English
Document type
Conference Proceedings
ProQuest document ID
3243713464
Document URL
https://www.proquest.com/scholarly-journals/scheduling-batch-processing-machines-flow-shop/docview/3243713464/se-2?accountid=208611
Copyright
Copyright Institute of Industrial and Systems Engineers (IISE) 2025
Last updated
2025-08-28
Database
ProQuest One Academic