An effective and efficient heuristic for no-wait flow shop production to minimize total completion time

2017 ◽  
Vol 108 ◽  
pp. 57-69 ◽  
Author(s):  
Honghan Ye ◽  
Wei Li ◽  
Amin Abedini ◽  
Barrie Nault
2022 ◽  
Vol 7 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Muberra Allahverdi

Since scheduling literature has a wide range of uncertainties, it is crucial to take these into account when solving performance measure problems. Otherwise, the performance may severely be affected in a negative way. In this paper, an algorithm is proposed to minimize the total completion time (TCT) of a two-machine no-wait flowshop with uncertain setup times within lower and upper bounds. The results are compared to the best existing algorithm in scheduling literature: the programming language Python is used to generate random samples with respect to various distributions, and the TCT of the proposed algorithm is compared to that of the best existing one. Results reveal that the proposed one significantly outperforms the best one given in literature for all considered distributions. Specifically, the average percentage improvement of the proposed algorithm over the best existing one is over 90%. A test of hypothesis is conducted to further confirm the results.


2006 ◽  
Vol 9 (6) ◽  
pp. 559-568 ◽  
Author(s):  
Han Hoogeveen ◽  
Linda van Norden ◽  
Steef van de Velde

2007 ◽  
Vol 18 (02) ◽  
pp. 341-359 ◽  
Author(s):  
JOSEPH Y.-T. LEUNG ◽  
HAIBING LI ◽  
HAIRONG ZHAO

We consider two-machine flow shop problems with exact delays. In this model, there are two machines, the upstream machine and the downstream machine. Each job j has two operations: the first operation has to be processed on the upstream machine and the second operation has to be processed on the downstream machine, subject to the constraint that the time interval between the completion time of the first operation and the start time of the second operation is exactly [Formula: see text]. We concentrate on the objectives of makespan and total completion time. For the makespan objective, we first show that the problem is strongly NP-hard even if there are only two possible delay values. We then show that some special cases of the problem are solvable in polynomial time. Finally, we design efficient approximation algorithms for the general case and some special cases. For the total completion time objective, we give optimal polynomial-time algorithm for a special case and an efficient approximation algorithm for another one.


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