Integration of financial statement analysis in the optimal design of supply chain networks under demand uncertainty

Pantelis Longinidis and Michael C. Georgiadis

International Journal of Production Economics, 2011, vol. 129, issue 2, 262-276

Abstract: Models that aim to optimize the design of supply chain networks have become a mainstream in the supply chain literature. This paper aims to fill a gap in the literature by introducing a mathematical model that integrates financial considerations with supply chain design decisions under demand uncertainty. The proposed Mixed-Integer Linear Programming (MILP) problem enchases financial statement analysis through financial ratios and demand uncertainty through scenario analysis. The applicability of the model is illustrated by using a case study along with a sensitivity analysis on financial parameters expressing the business environment. The model could be used as an effective and convenient strategic decision tool by supply chain managers.

Keywords: Supply; chain; optimization; Financial; statements; Demand; uncertainty; Distribution; networks (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (26)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:129:y:2011:i:2:p:262-276

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