 Designing an electronic auction market for complex 'smart parts' logistics: Options based on LeBaron's computational stock marketBill McKelvey, Christine Wycisk and Michael Hülsmann International Journal of Production Economics, 2009, vol. 120, issue 2, 476-494 Abstract: Modern technologies, such as RFID, offer never-before seen learning abilities to parts moving in supply chains. Logistics systems may be understood as complex adaptive logistics systems (CALS). They also may be conceived as electronic auction markets as 'smart parts' bid for the best routing and pricing from transportation firms. To ensure the world-wide functionality and efficiency of CALS transportation markets, we suggest the utility of an agent-based computational market design based on Blake LeBaron's stock-market model. Given that parts may be more or less smart, markets more or less complex, and self-organizing CALS systems probabilistically subject to the bullwhip effect, we suggest nine different computational CALS market-design options, offering more adaptivity to unexpected environmental contingencies. Keywords: Supply; chain; management; Electronic; auction; market; I&C; technologies; Complexity; theory; Neural; networks (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:120:y:2009:i:2:p:476-494 Access Statistics for this article International Journal of Production Economics is currently edited by Stefan Minner More articles in International Journal of Production Economics from Elsevier |
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