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Using simulated annealing to schedule a flowshop manufacturing cell with sequence-dependent family setup times

Lin, Shih-wei; Gupta, Jatinder N.; Ying, Kuo-ching; … - In: International journal of production research 47 (2009) 12, pp. 3205-3217

Persistent link: https://www.econbiz.de/10003890086

A three-phase algorithm for flowshop scheduling with blocking to minimize makespan

Wang, Cheng; Song, Shiji; Gupta, Jatinder N.; Wu, Cheng - In: Computers & operations research : and their … 39 (2012) 11, pp. 2880-2887

Persistent link: https://www.econbiz.de/10009553766

A comprehensive review of flowshop group scheduling literature

Neufeld, Janis S.; Gupta, Jatinder N.; Buscher, Udo - In: Computers & operations research : and their … 70 (2016), pp. 56-74

Persistent link: https://www.econbiz.de/10011450212

Trajectory scheduling methods for minimizing total tardiness in a flowshop

Li, Xiaoping; Chen, Long; Xu, Haiyan; Gupta, Jatinder N. - In: Operations research perspectives 2 (2015), pp. 13-23

In this paper, Trajectory Scheduling Methods (TSMs) are proposed for the permutation flowshop scheduling problem with total tardiness minimization criterion. TSMs belong to an iterative local search framework, in which local search is performed on an initial solution, a perturbation operator is...

Persistent link: https://www.econbiz.de/10011822464

Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-dependent setup times

He, Xuan; Pan, Quan Ke; Gao, Liang; Neufeld, Janis S.; … - In: Omega : the international journal of management science 123 (2024), pp. 1-19

Persistent link: https://www.econbiz.de/10014533383

Flowshop scheduling with artificial neural networks

Gupta, Jatinder N.; Majumder, Arindam; Laha, Dipak - In: Journal of the Operational Research Society 71 (2020) 10, pp. 1619-1637

Persistent link: https://www.econbiz.de/10012314370