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General Paper

Scheduling the two-machine flowshop to hedge against processing time uncertainty

Pages 1413-1425 | Received 20 Mar 2014, Accepted 22 Sep 2014, Published online: 21 Dec 2017

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Ming Liu, Xin Liu, E. Zhang, Feng Chu & Chengbin Chu. (2019) Scenario-based heuristic to two-stage stochastic program for the parallel machine ScheLoc problem. International Journal of Production Research 57:6, pages 1706-1723.
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Mario Levorato, David Sotelo, Rosa Figueiredo & Yuri Frota. (2023) Efficient solutions to the m-machine robust flow shop under budgeted uncertainty. Annals of Operations Research.
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Mario Levorato, Rosa Figueiredo & Yuri Frota. (2022) Exact solutions for the two-machine robust flow shop with budgeted uncertainty. European Journal of Operational Research 300:1, pages 46-57.
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Eliana Maria Gonzalez-Neira, Jairo R. Montoya-Torres & Jose-Fernando Jimenez. (2021) A Multicriteria Simheuristic Approach for Solving a Stochastic Permutation Flow Shop Scheduling Problem. Algorithms 14:7, pages 210.
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Yasemin Limon & Ananth Krishnamurthy. (2020) Dynamic resource scheduling of biomanufacturing projects. Computers & Industrial Engineering 147, pages 106527.
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Ming Liu & Rongfan Liu. (2019) Risk-averse scheduling-location (ScheLoc) problem. Risk-averse scheduling-location (ScheLoc) problem.
Shengsheng Niu, Shiji Song, Jian-Ya Ding, Yuli Zhang & Raymond Chiong. (2019) Distributionally robust single machine scheduling with the total tardiness criterion. Computers & Operations Research 101, pages 13-28.
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Edyta Kucharska. (2017) Heuristic Method for Decision-Making in Common Scheduling Problems. Applied Sciences 7:10, pages 1073.
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Lijia Liu, Bing Wang & Xiaoyan Li. (2017) Minimizing the worst-case makespan for a job-shop scheduling system with uncertain processing times. Minimizing the worst-case makespan for a job-shop scheduling system with uncertain processing times.

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