A hybrid approach to supply chain modeling and optimization

Author

Sitek, Pawel ; Wikarek, Jaroslaw

Author_Institution

Poland Inst. of Manage. Control Syst., Kielce Univ. of Technol., Kielce, Poland

fYear

2013

fDate

8-11 Sept. 2013

Firstpage

1223

Lastpage

1230

Abstract

The paper presents the concept and an outline of the implementation of a hybrid approach to supply chain modeling and optimization. Two environments mathematical programming (MP) and logic programming (LP) were integrated. The strengths of integer programming (IP) and constraint logic programming (CLP), in which constraints are treated in a different way and different methods are implemented, were combined to use the strengths of both. The proposed approach is particularly important for the decision models with an objective function and many discrete decision variables added up in multiple constraints. In order to verify the proposed approach, the optimization models were presented and implemented in both traditional mathematical programming and the hybrid environment.

Keywords

constraint handling; decision making; integer programming; logic programming; supply chain management; CLP; IP; LP; constraint logic programming; decision models; discrete decision variables; integer programming; logic programming; mathematical programming; objective function; optimization; supply chain modeling; supply chain optimization; Linear programming; Logic programming; Mathematical model; Optimization; Supply chains;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on

Conference_Location

Krako??w

Type

conf

Filename

6644170