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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

Author

Listed:
  • Barrie M. Cole
  • Steven Bradshaw
  • Herman Potgieter

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.

Suggested Citation

  • Barrie M. Cole & Steven Bradshaw & Herman Potgieter, 2015. "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," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 23(2), pages 200-228.
  • Handle: RePEc:ids:ijores:v:23:y:2015:i:2:p:200-228
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    Citations

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    Cited by:

    1. Sarangi, Subrat & Chakraborty, Abhishek & Triantis, Konstantinos P., 2021. "Multimarket competition effects on product line decisions – A multi-objective decision model in fast moving consumer goods industry," Journal of Business Research, Elsevier, vol. 133(C), pages 388-398.
    2. Benhamou, Latifa & Giard, Vincent & Khouloud, Mehdi & Fenies, Pierres & Fontane, Frédéric, 2020. "Reverse Blending: An economically efficient approach to the challenge of fertilizer mass customization," International Journal of Production Economics, Elsevier, vol. 226(C).
    3. Subrat Sarangi & Sudipta Sarangi & Nasim S. Sabounchi, 2023. "How managerial perspectives affect the optimal fleet size and mix model: a multi-objective approach," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 1-23, March.

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