scholarly journals Lot Sizing and Scheduling in Parallel Uniform Machines – A Case Study

10.5772/50975 ◽  
2012 ◽  
Author(s):  
F. Charrua ◽  
Francisco Brojo ◽  
Pedro M.
Keyword(s):  
Lot Sizing ◽  
Uniform Machines ◽  
Lot Sizing And Scheduling

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 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 Dynamic lot sizing problem under uncertainty of returned products in remanufacturing industry

2018 ◽  
Vol 204 ◽  
pp. 07005
Author(s):  
Iman Setyoaji
Keyword(s):  
Bayesian Inference ◽  
Lot Sizing ◽  
Replacement Ratio ◽  
Total Cost ◽  
Lot Sizing Problem ◽  
Holding Cost ◽  
Dynamic Lot Sizing ◽  
Lot Sizes

Remanufacturing processes face uncertainty in the quality of the items being returned by customers, this significant variability complicates the control of inventories. Demands can be satisfied by procured new items, but also by remanufactured returned items. This paper develops dynamic lot sizing model for remanufacturing industry under uncertainty of returned items and proposes Bayesian Inference to estimate the replacement ratio of returned items that used to determine those lot sizes for new items. The objective of this paper is to minimize the total cost composed of holding cost and set-ups cost. A numerical example is provided based on case study. The result shows that total cost is reduced to be 45%.

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.

Sign in / Sign up

Export Citation Format

Share Document