Publication Type

Conference Proceeding Article

Version

Publisher’s Version

Publication Date

1-2014

Abstract

We consider a two-echelon beer supply distribution network with the brewer replenishing the dealers and the dealers serving the outlet zones directly, for multiple product types. The allocation of the outlet zones to the dealers will determine the quantity of products the brewer replenishes each dealer, which will in turn impact the total warehousing and transportation costs. The non-linear optimization model formulated is difficult to solve to optimality, and the model itself does not include practical business considerations in the distribution business. A heuristics algorithm is designed and easily implemented using spreadsheets with Visual Basic programming to effectively and efficiently allocate the outlet zones to the dealers. The spreadsheets model serves as a strategic decision support system that allows the user to play with “What-if” scenarios by flexibly setting the decision to open or close a dealer and assigning outlet zones to several potential dealers. taking into account the practical business considerations. The algorithm will determine the best allocation of the outlet zones, among the potential dealers, to achieve minimum total network costs. With several “What-if” scenarios and their corresponding allocation results, the user can make the strategic decision to select the most suitable scenario.

Keywords

Supply network, heuristic algorithm, spreadsheets, strategic DSS

Discipline

Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering

Research Areas

Intelligent Systems and Decision Analytics

Publication

Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management, Bali, Indonesia, January 7-9, 2014

First Page

1720

Last Page

1731

Publisher

IEOM

City or Country

Bali, Indonesia

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://iieom.org/ieom2014/pdfs/386.pdf