A problem reduction and decomposition approach for scheduling for a flowshop of batch processing machines
type: Item
instance of: scholarly article
title: A problem reduction and decomposition approach for scheduling for a flowshop of batch processing machines
zbMATH Open document ID: 0953.90030
DOI: 10.1016/S0377-2217(99)00031-4
author: Chang Sup Sung
author: Young Hwan Kim
author: Sang Hum Yoon
published in: European Journal of Operational Research
publication date: 2000-07-19T00:00:00Z
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 68M20
Mathematics Subject Classification ID: 49M27
zbMATH DE Number: 1417493
zbMATH Keywords: scheduling
zbMATH Keywords: batch processing machine
zbMATH Keywords: flowshop
MaRDI profile type: Publication
cites work: Batching and Scheduling Jobs on Batch and Discrete Processors
cites work: Minimizing total completion time on a batch processing machine with job families
cites work: Scheduling Semiconductor Burn-In Operations to Minimize Total Flowtime
cites work: Efficient scheduling algorithms for a single batch processing machine
cites work: Efficient Algorithms for Scheduling Semiconductor Burn-In Operations
cites work: Scheduling with agreeable release times and due dates on a batch processing machine
cites work: Scheduling a single batch processing machine with non-identical job sizes
cites work: Scheduling Groups of Jobs on a Single Machine
full work available at URL: s0377-2217(99)00031-4
OpenAlex ID: W2011912841
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description: scientific article; zbMATH DE number 1417493