Coordinating supply chain decisions: an optimization model
type: Item
instance of: scholarly article
title: Coordinating supply chain decisions: an optimization model
zbMATH Open document ID: 1007.90508
author: Christoph Haehling von Lanzenauer
author: Karsten Pilz-Glombik
published in: OR Spectrum
publication date: 2002-05-30T00:00:00Z
review text: Coordinating information and material flows are key to effective supply chain management. The complexity of interactions in and the uncertainties surrounding supply chains make such coordination difficult. However, coordination can be realized by optimizing the flows in supply chains with analytical approaches. A mixed integer programming model is presented to support the tactical decisions of ordering, producing and transporting under various conditions of information availability at the loci of decision making. The model is applied to a modified version of MIT's well known Beer Distribution Game. The performance of the modeling approach is contrasted with the results of human decision making under identical conditions and underlines the enormous potential for performance improvement analytical decision support can provide. Several methodological aspects for coping with the difficulties of solving rather large mixed integer models are presented and it is shown that they can contribute significantly in dealing with the inherent computational problems.
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90C90
Mathematics Subject Classification ID: 90C11
zbMATH DE Number: 1747972
zbMATH Keywords: supply chain management
zbMATH Keywords: optimization
zbMATH Keywords: mixed integer programming
zbMATH Keywords: uncertainty
zbMATH Keywords: Beer distribution game
MaRDI profile type: Publication
full work available at URL: s291-002-8200-3
OpenAlex ID: W2051317178
DOI: 10.1007/S291-002-8200-3
description: scientific article; zbMATH DE number 1747972