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A Digital Tool for Analyzing Effects from Regulatory Policies on Environmental Impacts in Supply-Chains
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-5408-0008
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-4549-6751
2023 (English)In: IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society, Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

It is paramount for the circular economy that the supply of products, components and materials match the demand for effective re-use and re-manufacturing. In this paper, we present a tool for balancing fairness and environmental impact (e.g., from transport) in trading goods subject to demand-supply matching (DSM) for circularity. The tool addresses the problem of controlling this balance when multiple demanders buy goods from multiple suppliers, which may implement a volume-dependent price model. In such cases, identifying the best possible set of procurements to obtain a desired balance demands a model that provides a predictable output from declarative statements on this balance. We evaluate our tool using simulations to demonstrate its usefulness in evaluating the effects on fairness between trading actors from regulatory policies related to environmental impact. We show that our DSM ranking tool can be used to evaluate such effects using simulations of different market scenarios. Based on these results, we discuss extensions of the model for it to support additional such statements in more complex DSM scenarios that for example also include seller reputation as a matching criterion.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023.
Series
Annual Conference of Industrial Electronics Society, ISSN 1553-572X, E-ISSN 2577-1647
Keywords [en]
automated, constraints, evaluation, fairness
National Category
Economics Information Systems, Social aspects
Research subject
Cyber-Physical Systems; Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-103552DOI: 10.1109/IECON51785.2023.10312573Scopus ID: 2-s2.0-85179523031OAI: oai:DiVA.org:ltu-103552DiVA, id: diva2:1825507
Conference
49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023), Singapore, Singapore, October 16-19, 2023
Funder
EU, Horizon 2020
Note

Funder: DigiPrime (grant no. 873111);

ISBN for host publication: 979-8-3503-3183-7 (print), 979-8-3503-3182-0 (electronic)

Available from: 2024-01-09 Created: 2024-01-09 Last updated: 2024-01-09Bibliographically approved

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Fernandez, ShaiBodin, UlfSynnes, Kåre

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