A case-oriented computational study for sustainable fleet planning in a battery closed-loop supply chain network under uncertainty

PurposeThe purpose of this study is to develop a holistic optimization model for an integrated sustainable fleet planning and closed-loop supply chain (CLSC) network design problem under uncertainty.Design/methodology/approachA novel mixed-integer programming model that is able to consider interacti...

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Vydáno v:Engineering computations Ročník 40; číslo 7/8; s. 1947 - 2008
Hlavní autoři: Subulan, Kemal, Baykasoğlu, Adil
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bradford Emerald Publishing Limited 12.10.2023
Emerald Group Publishing Limited
Témata:
Closed loops
Design
Design factors
End of life
Energy consumption
Fleet management
Fractions
Goal programming
Integer programming
Inventory control
Logistics
Management decisions
Mathematical models
Mixed integer
Network design
Optimization
Optimization models
Pareto optimum
Planning
Product development
Product life cycle
Supply chains
Sustainability
Transport rate
Transportation services
Uncertainty
Vehicle emissions
Vehicle safety
Vehicles
Chance-constrained stochastic programming
Multi-objective optimization
Fleet management
Closed-loop supply chain network design
Sustainability
Mixed-integer programming
ISSN:0264-4401, 1758-7077
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Shrnutí:PurposeThe purpose of this study is to develop a holistic optimization model for an integrated sustainable fleet planning and closed-loop supply chain (CLSC) network design problem under uncertainty.Design/methodology/approachA novel mixed-integer programming model that is able to consider interactions between vehicle fleet planning and CLSC network design problems is first developed. Uncertainties of the product demand and return fractions of the end-of-life products are handled by a chance-constrained stochastic program. Several Pareto optimal solutions are generated for the conflicting sustainability objectives via compromise and fuzzy goal programming (FGP) approaches.FindingsThe proposed model is tested on a real-life lead/acid battery recovery system. By using the proposed model, sustainable fleet plans that provide a smaller fleet size, fewer empty vehicle repositions, minimal CO2 emissions, maximal vehicle safety ratings and minimal injury/illness incidence rate of transport accidents are generated. Furthermore, an environmentally and socially conscious CLSC network with maximal job creation in the less developed regions, minimal lost days resulting from the work's damages during manufacturing/recycling operations and maximal collection/recovery of end-of-life products is also designed.Originality/valueUnlike the classical network design models, vehicle fleet planning decisions such as fleet sizing/composition, fleet assignment, vehicle inventory control, empty repositioning, etc. are also considered while designing a sustainable CLSC network. In addition to sustainability indicators in the network design, sustainability factors in fleet management are also handled. To the best of the authors' knowledge, there is no similar paper in the literature that proposes such a holistic optimization model for integrated sustainable fleet planning and CLSC network design.
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ISSN:0264-4401
1758-7077
DOI:10.1108/EC-09-2022-0582