An optimisation methodology for a supply chain operating under any pertinent conditions of uncertainty - an application with two forms of operational uncertainty, multi-objectivity and fuzziness

Barrie M. Cole, Steven Bradshaw and Herman Potgieter

International Journal of Operational Research, 2015, vol. 23, issue 2, 200-228

Abstract: This paper addresses the optimisation of supply chains that are subject to any pertinent conditions of operational uncertainty (multi-objectivity, fuzziness, stochastic's) that may exist in an operational environment, the first part of the paper deals with the derivation of such methodology which is based on an analysis of prior multi-uncertainty level supply chain optimisation techniques followed by the formulation of a generic supply chain, under pertinent conditions of uncertainty and optimisation methodology. The second part of this paper deals with an application of this methodology in a real life supply chain environment that involves the production and distribution of multiple blends of NPK fertiliser in an uncertain market characterised by fuzziness (<, ≤, > or ≥) and multi-objectivity (multiple blends of NPK fertiliser). Optimum results showed an improvement of 9.3% over existing production and sales capacity.

Keywords: supply chain management; SCM; supply chain optimisation; operational uncertainty; linear programming; fertiliser supply chains; fuzziness. (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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