Paper Info
Title
MIP models for production lot sizing problems with distribution costs and cargo arrangement.
Abstract
This study presents mixed integer programming (MIP) models for production lot sizing problems with distribution costs using unit load devices such as pallets and containers. Problems that integrate production lot sizing decisions and loading of the products in vehicles (bins) are also modelled, in which constraints such as weight limits, volume restrictions or the value of the cargo loaded in the bins are considered. In general, these problems involve a trade-off between production, inventory and distribution costs. Lot sizing decisions should take into account production capacity and product demand constraints. Distribution decisions are related to the loading and transport of products in unit load devices. The MIP models are solved by the branch-and-cut method of an optimization package and the results show that these approaches have the potential to address different practical situations.
Year
DOI
Venue
2016
10.1057/jors.2016.12
JORS
Keywords
Field
DocType
lot sizing, distribution costs, cargo unitization, bin packing, integrated problems
Mathematical optimization,Unit load,Computer science,Pallet,Operations research,Integer programming,Sizing,Operations management,Bin packing problem
Journal
Volume
Issue
ISSN
67
11
0160-5682
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Flavio Molina100.34
Reinaldo Morabito253943.90
Silvio A. Araujo31048.44