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Hybrid intelligent water drops algorithm to unrelated parallel machines scheduling problem : a just-in-time approach

Kayvanfar, Vahid; Teymourian, Ehsan - In: International journal of production research 52 (2014) 19, pp. 5857-5879

Persistent link: https://www.econbiz.de/10010425768

A multistage graph-based procedure for solving a just-in-time flexible job-shop scheduling problem with machine and time-dependent processing costs

Corominas, Albert; García-Villoria, Alberto; … - In: Journal of the Operational Research Society 70 (2019) 4, pp. 620-633

Persistent link: https://www.econbiz.de/10012212908

Just-in-time single-batch-processing machine scheduling

Zhang, Hongbin; Yang, Yu; Wu, Feng - In: Computers & operations research : and their … 140 (2022), pp. 1-12

Persistent link: https://www.econbiz.de/10013173509

The distributed assembly permutation flowshop scheduling problem with flexible assembly and batch delivery

Yang, Shengluo; Xu, Zhigang - In: International journal of production research 59 (2021) 13, pp. 4053-4071

Persistent link: https://www.econbiz.de/10012589268

Pareto-optimal front generation for the bi-objective JIT scheduling problems with a piecewise linear trade-off between objectives

Babu, Sona; Girish, B. S. - In: Operations research perspectives 12 (2024), pp. 1-15

distinct job due dates allowing inserted idle times in the schedules. An optimal timing algorithm (OTA) is presented to …

Persistent link: https://www.econbiz.de/10015055631

A hybrid Pareto-based local search algorithm for multi-objective flexible job shop scheduling problems

Li, Jun-qing; Pan, Quan-ke; Chen, Jing - In: International journal of production research 50 (2012) 4, pp. 1063-1078

Persistent link: https://www.econbiz.de/10009550205

A modified teaching-learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling

Shen, Jing-nan; Wang, Ling; Zheng, Huan-yu - In: International journal of production research 54 (2016) 11/12, pp. 3622-3639

Persistent link: https://www.econbiz.de/10011497622

Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization and fuzzy dominance approach

Jafarzadeh, Hassan; Moradinasab, Nazanin; Gerami, Ali - In: Journal of industrial engineering and management : JIEM 10 (2017) 5, pp. 887-918

Purpose: Adjusted discrete Multi-Objective Invasive Weed Optimization (DMOIWO) algorithm, which uses fuzzy dominant … the quality indicator for beater performance of the algorithm. Findings: The results of this algorithm have been compared … with those of conventional, multi-objective algorithms to show the better performance of the proposed algorithm. The …

Persistent link: https://www.econbiz.de/10011920773

Multiobjective discrete artificial bee colony algorithm for multiobjective permutation flow shop scheduling problem with sequence dependent setup times

Li, Xiangtao; Ma, Shijing - In: IEEE transactions on engineering management : EM 64 (2017) 2, pp. 149-165

Persistent link: https://www.econbiz.de/10011675779

Modified multi-objective simulated annealing algorithm for scheduling a flow shop production system with setup times

Anjana, V.; Anish, M. N.; Sridharan, R. - In: International journal of process management and … 13 (2023) 2, pp. 177-211

Persistent link: https://www.econbiz.de/10014313801