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Serial-batching scheduling with time-dependent setup time and effects of deterioration and learning on a single-machine

Published: 01 January 2017 Publication History

Abstract

This paper deals with serial-batching scheduling problems with the effects of deterioration and learning, where time-dependent setup time is also considered. In the proposed scheduling models, all jobs are first partitioned into serial batches, and then all batches are processed on a single serial-batching machine. The actual job processing time is a function of its starting time and position. In addition, a setup time is required when a new batch is processed, and the setup time of the batches is time-dependent, i.e., it is a linear function of its starting time. Structural properties are derived for the problems of minimizing the makespan, the number of tardy jobs, and the maximum earliness. Then, three optimization algorithms are developed to solve them, respectively.

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Information & Contributors

Information

Published In

cover image Journal of Global Optimization
Journal of Global Optimization  Volume 67, Issue 1-2
January 2017
440 pages

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 January 2017

Author Tags

  1. Deteriorating jobs
  2. Learning effect
  3. Scheduling
  4. Serial-batching
  5. Single-machine

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Cited By

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  • (2021)A Heuristic Solution Approach to Order Batching and Sequencing for Manual Picking and Packing Lines considering Fatiguing EffectScientific Programming10.1155/2021/88633912021Online publication date: 1-Jan-2021
  • (2020)Less is more: variable neighborhood search for integrated production and assembly in smart manufacturingJournal of Scheduling10.1007/s10951-019-00619-523:6(649-664)Online publication date: 1-Dec-2020
  • (2020)Parallel-machine group scheduling with inclusive processing set restrictions, outsourcing option and serial-batching under the effect of step-deteriorationJournal of Global Optimization10.1007/s10898-018-0707-178:4(717-742)Online publication date: 1-Dec-2020
  • (2020)Less is more approach for competing groups scheduling with different learning effectsJournal of Combinatorial Optimization10.1007/s10878-019-00452-839:1(33-54)Online publication date: 1-Jan-2020
  • (2018)Serial-batching group scheduling with release times and the combined effects of deterioration and truncated job-dependent learningJournal of Global Optimization10.1007/s10898-017-0536-771:1(147-163)Online publication date: 1-May-2018
  • (2018)Scheduling Deteriorating Jobs and Module Changes with Incompatible Job Families on Parallel Machines Using a Hybrid SADE-AFSA AlgorithmLearning and Intelligent Optimization10.1007/978-3-030-05348-2_40(455-472)Online publication date: 10-Jun-2018
  • (2017)Parallel machine scheduling with general sum of processing time based modelsJournal of Global Optimization10.1007/s10898-017-0509-x68:4(799-814)Online publication date: 1-Aug-2017

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