On the complexity of constructing a minmax regret solution for the two-machine flow shop problem under the interval uncertainty

2020 ◽  
Vol 23 (6) ◽  
pp. 745-749
Author(s):  
Yakov Shafransky ◽  
Viktor Shinkarevich
2015 ◽  
Vol 6 (3) ◽  
pp. 3-9 ◽  
Author(s):  
Michał Ćwik ◽  
Jerzy Józefczyk

Abstract The uncertain flow-shop is considered. It is assumed that processing times are not given a priori, but they belong to intervals of known bounds. The absolute regret (regret) is used to evaluate a solution (a schedule) which gives the minmax regret binary optimization problem. The evolutionary heuristic solution algorithm is experimentally compared with a simple middle interval heuristic algorithm for three machines instances. The conducted simulations confirmed the several percent advantage of the evolutionary approach.


Author(s):  
Iago A. Carvalho ◽  
Thiago F. Noronha ◽  
Christophe Duhamel ◽  
Luiz F. M. Vieira ◽  
Vinicius F. dos Santos

2014 ◽  
Vol 39 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Enrique Gerstl ◽  
Gur Mosheiov ◽  
Assaf Sarig

Abstract We study a special two-stage flexible flowshop, which consists of several parallel identical machines in the first stage and a single machine in the second stage. We assume identical jobs, and the option of batching, with a required setup time prior to the processing of a new batch. We also consider the option to use only a subset of the available machines. The objective is minimum makespan. A unique optimal solution is introduced, containing the optimal number of machines to be used, the sequence of batch sizes, and the batch schedule. The running time of our proposed solution algorithm is independent of the number of jobs, and linear in the number of machines


2013 ◽  
Vol 161 (13-14) ◽  
pp. 2107-2119 ◽  
Author(s):  
D. Prot ◽  
C. Rapine

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