期刊
COMPUTERS & CHEMICAL ENGINEERING
卷 159, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2022.107666
关键词
Supply chains; Economics; Dynamics; Optimization; Markets; Space-Time
资金
- U.S. Department of Agriculture [2017-67003-26055]
- National Science Foundation [1832208]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1832208] Funding Source: National Science Foundation
- NIFA [2017-67003-26055, 914491] Funding Source: Federal RePORTER
This study extends market coordination to multi-product supply chains and analyzes their spatio-temporal economic properties using a graph representation. The proposed model captures geographical transport, time delays, and storage in a unified manner and establishes fundamental economic properties and bounds for space-time prices. A case study on organic waste utilization for biogas and electricity production illustrates the emergence of waste storage incentives and the dynamics of space-time prices.
In this work we present a generalization of market coordination to multi-product supply chains and use this framework to analyze their spatio-temporal economic properties. We interpret a supply chain as a market consisting of independent stakeholders (suppliers, consumers, transportation, and technology providers) who bid into a coordination system that is managed and cleared by an independent entity to obtain product allocations and prices. The proposed model provides a general graph representation of spatio-temporal product transport that helps capture geographical transport, time delays, and storage (temporal transport) in a unified and compact manner. This representation allows us to establish fundamental economic properties for the supply chain (revenue adequacy, cost recovery, and competitiveness) and to establish bounds for space-time prices. To illustrate these concepts, we consider a case study in which organic waste is used for producing biogas and electricity. Our market model shows that incentives for waste storage emerge from electricity demand dynamics and illustrates how space-time price dynamics for waste and derived products emerge from geographical transport and storage. (C) 2022 Elsevier Ltd. All rights reserved.
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