Economic properties of multi-product supply chains

•A novel product representation for multiproduct supply chains is introduced.•Multiproduct supply chains are optimized using a market coordination approach.•The product representation is used derive results about supply chain revenue flows.•Theoretical properties resulting from a market approach are...

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Veröffentlicht in:Computers & chemical engineering 2021-02, Vol.145, p.107157-107157, Article 107157
Hauptverfasser: Tominac, Philip A., Zavala, Victor M.
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Sprache:eng
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Zusammenfassung:•A novel product representation for multiproduct supply chains is introduced.•Multiproduct supply chains are optimized using a market coordination approach.•The product representation is used derive results about supply chain revenue flows.•Theoretical properties resulting from a market approach are presented.•Properties are demonstrated using a solid waste recycling supply chain problem. We interpret multi-product supply chains (SCs) as coordinated markets, casting SC optimization problems as market clearing problems that allocate resources to stakeholders and determine market prices. The market interpretation allows us to establish fundamental properties that explain how physical resources (primal variables) and associated economic values (dual variables) flow in SCs. We use duality theory to explain why incentivizing markets by forcing stakeholder participation (e.g., by imposing demand or service provision constraints) yields artificial price behavior and economic losses. To overcome these issues, we explore market incentive mechanisms that use bids. Here, we introduce a product-based representation for SCs, and show that this representation allows us to determine minimum bids that activate markets. These results provide guidelines for SC formulations that properly remunerate stakeholders and for policy that fosters market transactions. The results are illustrated using an urban waste management problem for a city of 100,000 residents.
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2020.107157