Approaches for the joint resolution of lot-sizing and scheduling with infeasibilities occurrences

2021 ◽  
pp. 107176
Author(s):  
Fernanda F. Alves ◽  
Thiago H. Nogueira ◽  
Mauricio C. de Souza ◽  
Martín G. Ravetti
Keyword(s):  
Lot Sizing ◽  
Lot Sizing And Scheduling ◽  
Joint Resolution

scholarly journals Lot sizing and scheduling — Survey and extensions

1997 ◽  
Vol 99 (2) ◽  
pp. 221-235 ◽  
Author(s):  
A. Drexl ◽  
A. Kimms
Keyword(s):  
Lot Sizing ◽  
Lot Sizing And Scheduling

scholarly journals Profit maximization in simultaneous lot-sizing and scheduling problem

2013 ◽  
Vol 37 (23) ◽  
pp. 9516-9523 ◽  
Author(s):  
Narges Sereshti ◽  
Mehdi Bijari
Keyword(s):  
Lot Sizing ◽  
Profit Maximization ◽  
Scheduling Problem ◽  
Lot Sizing And Scheduling

scholarly journals Discrete lot sizing and scheduling using product decomposition into attributes

2009 ◽  
Vol 36 (9) ◽  
pp. 2690-2698 ◽  
Author(s):  
C. Gicquel ◽  
N. Miègeville ◽  
M. Minoux ◽  
Y. Dallery
Keyword(s):  
Lot Sizing ◽  
Product Decomposition ◽  
Lot Sizing And Scheduling

scholarly journals Practical Tips for Modelling Lot-Sizing and Scheduling Problems

2009 ◽  
Vol 3 (2) ◽  
pp. 37-48
Author(s):  
Waldemar Kaczmarczyk
Keyword(s):  
Lot Sizing ◽  
Valid Inequalities ◽  
A Priori ◽  
Computational Effort ◽  
Scheduling Problems ◽  
Good Balance ◽  
Validation Of Models ◽  
Short Time ◽  
Lot Sizing And Scheduling

This paper presents some important alternatives for modelling Lot-Sizing and Scheduling Problems. First, the accuracy of models can improved by using short time buckets, which allow more detailed planning but lead to higher computational effort. Next, valid inequalities make the models tighter but increase their size. Sometimes it is possible to find a good balance between the size and tightness of a model by limiting a priori the number of valid inequalities. Finally, a special normalization of the variables simplifies the presentation of results and validation of models.

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