A novel fuzzy multi-objective circular supplier selection and order allocation model for sustainable closed-loop supply chains

Maximizing the value of resources and producing less waste are strategic decisions affecting sustainability and competitive advantage. Sustainable closed-loop supply chains (CLSCs) are designed to minimize waste by circling back (repairing, reselling, or dismantling for parts) previously discarded p...

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Veröffentlicht in:Journal of cleaner production Jg. 287; S. 124994
Hauptverfasser: Khalili Nasr, Arash, Tavana, Madjid, Alavi, Behrouz, Mina, Hassan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 10.03.2021
Schlagworte:
case studies
Circular supplier selection
design
employment opportunities
environmental impact
Fuzzy goal programming
Inventory-location-routing problem
linear programming
manufacturing
sales
supply chain
Sustainable closed-loop supply chain
wastes
Fuzzy goal programming
Inventory-location-routing problem
Sustainable closed-loop supply chain
Circular supplier selection
ISSN:0959-6526, 1879-1786
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Zusammenfassung:Maximizing the value of resources and producing less waste are strategic decisions affecting sustainability and competitive advantage. Sustainable closed-loop supply chains (CLSCs) are designed to minimize waste by circling back (repairing, reselling, or dismantling for parts) previously discarded products into the value chain. This study presents a novel two-stage fuzzy supplier selection and order allocation model in a CLSC. In Stage 1, we use the fuzzy best-worst method (BWM) to select the most suitable suppliers according to economic, environmental, social, and circular criteria. In Stage 2, we use a multi-objective mixed-integer linear programming (MOMILP) model to design a multi-product, multi-period, CLSC network, and inventory-location-routing, vehicle scheduling, and quantity discounts considerations. In the proposed MOMILP, the total network costs, the undesired environmental effects, and the lost sales are minimized while job opportunities and sustainable supplier purchases are maximized. A fuzzy goal programming approach is proposed to transform the MOMILP into a single objective model. We present a case study to demonstrate the applicability of the proposed method in the garment manufacturing and distribution industry. [Display omitted] •We present a novel two-stage fuzzy supplier selection and order allocation model in a closed-loop supply chain (CLSC).•We use the fuzzy best-worst method to select the most suitable suppliers.•A multi-objective mixed-integer linear programming model represents the CLSC network.•We minimize network costs, undesired environmental effects, and lost demand.•We maximize job opportunities and sustainable supplier purchases.
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ISSN:0959-6526
1879-1786
DOI:10.1016/j.jclepro.2020.124994