Supply chain conflict detection with coloured petri nets

Franklin R. John and P.S.S. Prasad

Journal of Advances in Management Research, 2012, vol. 9, issue 2, 208-216

Abstract: Purpose - The purpose of this paper is to present and test a methodology, extending the concept of hierarchical Petri nets, to discover conflicts in a distribution channel. Design/methodology/approach - The approach involves linking different levels of the supply chain and detecting conflicts occurring when the single entities, each optimized for its own operations, are combined together in a supply chain. Specifically, a methodology is proposed for synthesizing individual Petri Net models combined with matrix equations in order to detect and manage conflicts in a supply chain. These conflicts may stem from differing goals, planning and resources. Findings - The methodology offers the user the ability to investigate the potential for conflicts in the system and manage the system to avoid such conflicts before they occur. The proposed approach holds promise for both the short term and long term for effective supply chain management and design. This would enable the supply chain to put sufficient protection (e.g. buffers) in strategic locations relative to the potential conflict or contingency plans in place to handle the conflict when it occurs. Originality/value - While the ability to discover and pre‐empt conflicts would be a valuable asset to the management and design of supply chains, there is little insight found, to date, in the research on effective methods to realize detection. The current paper provides a systematic approach through the development of a hierarchical Petri net extension to detect conflicts prior to occurrence in an integrated supply chain system.

Keywords: Supply chain management; Mathematical modelling; Supply chain conflicts; Conflict detection; Coloured Petri nets (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jamrpp:v:9:y:2012:i:2:p:208-216

DOI: 10.1108/09727981211271959

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