Journal article
A systematic approach for supply chain conflict detection with a hierarchical Petri Net extension
Omega (Oxford), Vol.36(5), pp.680-696
2008
DOI: 10.1016/j.omega.2006.02.001
Abstract
Coordinating and managing distributed entities in a supply chain is a challenging task due, in part, to conflicts present in such systems. If not handled effectively, the conflict can degrade the performance of the system as a whole due to the fact that each individual entity may be working towards goals that sub-optimize the integrated system. Therefore, the ability to discover conflicts would be a valuable asset, particularly if the discovery occurred proactively. This paper presents a methodology, extending the concept of basic Petri Nets, to discover supply chain conflict before they occur and cause detrimental effects to system performance. The approach involves linking hierarchical levels of the supply chain system and detecting conflicts occurring when the single entities, each optimized for it own operations, are combined together in a supply chain. These conflicts are not obvious or intuitive in examining the single entities of the supply chain, but when integrated the conflicts are discovered by the methodology. We applied the proposed methodology on a real-world supply chain to illustrate the validity of the tool. Although, further research is needed to fully explore this method of conflict detection, we believe that this research does indeed provide some much needed insight into the daunting task of conflict discovery and therefore proactive handling of these potentially negative occurrences in the supply chain.
Details
- Title: Subtitle
- A systematic approach for supply chain conflict detection with a hierarchical Petri Net extension
- Creators
- Jennifer Blackhurst - Iowa State UniversityTong (Teresa) Wu - Arizona State UniversityChristopher W Craighead - Auburn University
- Resource Type
- Journal article
- Publication Details
- Omega (Oxford), Vol.36(5), pp.680-696
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.omega.2006.02.001
- ISSN
- 0305-0483
- eISSN
- 1873-5274
- Language
- English
- Date published
- 2008
- Academic Unit
- Business Analytics; Bus Admin Graduate Programs
- Record Identifier
- 9984201430102771
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