Optimization of production scheduling in two stage Flow Shop Scheduling problem with m equipotential machines at first stage
Author:
Funder
mmec
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-021-01411-5.pdf
Reference35 articles.
1. Adak Z, Arıoğlu Akan MÖ, Bulkan S (2020) Multiprocessor open shop problem: literature review and future directions. J Comb Optim 40:547–569
2. Belabid J, Aqil S, Allali K (2020) Solving permutation flow shop scheduling problem with sequence-independent setup time. J Appl Math 2020:1–11
3. Brown A, Lomnicki Z (1966) Some application of branch and bound algorithm to the machine scheduling problem. Oper Res Q 17:173–186
4. Choi SH, Wang K (2012) Flexible flow shop scheduling with stochastic processing times: a decomposition-based approach. Comput Ind Eng 63(2):362–373. https://doi.org/10.1016/j.cie.2012.04.001
5. Chaudhry IA, Elbadawi IA, Usman M, TajammalChugtai M (2018) Minimising total flowtime in a no-wait flow shop (NWFS) using genetic algorithms. Ing Investig 38(3):68–79
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1. A Two-Step Approach to Scheduling a Class of Two-Stage Flow Shops in Automotive Glass Manufacturing;Machines;2023-02-15
2. Scheduling Involving Equipotential Processors with Constraint as Fuzzy Utilization Time of Jobs;Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023;2023
3. An Application of a Decision Support System Enabled by a Hybrid Algorithmic Framework for Production Scheduling in an SME Manufacturer;Algorithms;2022-10-10
4. Bi-Objective Flow Shop Scheduling with Equipotential Parallel Machines;Malaysian Journal of Mathematical Sciences;2022-09-26
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