A comprehensive framework for sustainable closed-loop supply chain network design

Tavana, Madjid; Kian, Hadi; Nasr, Arash Khalili; Govindan, Kannan; Mina, Hassan

doi:10.1016/j.jclepro.2021.129777

Cited by 64 publications

(31 citation statements)

References 80 publications

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“…The incorporation of multiple elements in the selection criteria is desirable and is often associated with high subjectivity in the decision-making process [26]. [32] Qualitative AI-Huaain et al (2020) [33] Qualitative GP Bibhas and Sushil (2020) [34] Qualitative Game Theoretic Biswarup and Bibhas (2021) [35] Qualitative Game Theoretic Bahareh et al (2021) [36] Qualitative FGP Tavan, et al (2021) [37] Qualitative FGP Mabrouk (2021) [38] Qualitative Fuzzy set…”

Section: Literature Reviewmentioning

confidence: 99%

Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in a Sustainable, Resilient Supply Chain

et al. 2022

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Supplier selection constitutes a crucial component of manufacturing procurement. We developed a product life cycle cost (PLCC) model to support Taiwanese light-emitting diode (LED) manufacturers in capacity planning for sustainable and resilient supply chain (SC) management. For firms, supply chain PLCC (SCPLCC) is a key consideration, but relevant evidence is scarce. We applied two types of goal programming, namely multiobjective linear programming and revised multichoice goal programming (RMCGP), to develop a PLCC-based model that minimizes net costs, rejections, and late deliveries. Moreover, we constructed a decision-making tool for application to a case of SC sustainable procurement management in a high-tech Taiwanese LED company. Managers can resolve relevant problems by employing the two approaches of the SCPLCC model with various parameters. The implementation of RMCGP with weighted linear goal programming sensitivity analysis produced sufficient findings, according to a study of five models for practical implications. The primary findings of the current model assist business decision-makers in minimizing PLCC, reducing PLCC cost, minimizing net cost, number of rejections, number of late deliveries, achieving PLCC goals, and selecting the best supplier in the context of sustainable SC development.

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Section: Literature Reviewmentioning

confidence: 99%

Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in a Sustainable, Resilient Supply Chain

et al. 2022

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“…In the study, the costs of the avocado industry and the social factor of job employment opportunities were discussed within the framework of total cost minimization and employment maximization objectives. Tavana et al [94] designed an integrated multi-objective MILP model to design sustainable CLSC networks. In the model, cross-docking, location-inventory-routing, time window, supplier selection, order allocation, transportation modes with simultaneous pickup, and delivery under uncertainty were considered.…”

Section: Literature Surveymentioning

confidence: 99%

An agent-based modeling framework for the design of a dynamic closed-loop supply chain network

Bozdoğan

Aykut

Demirel

2022

Complex Intell. Syst.

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The supply chain is a dynamic and uncertain system consisting of material, information, and fund flows between different organizations, from the acquisition of the raw materials to the delivery of the finished products to the end customers. Closed-loop supply chains do not end with the delivery of the finished products to the end customers, the process continues until economic value is obtained from the returned products or they are disposed properly in landfills. Incorporating reverse flows in supply chains increases the uncertainty and complexity, as well as complicating the management of supply chains that are already composed of different actors and have a dynamic structure. Since agent-based modeling and simulation is a more efficient method of handling the dynamic and complex nature of supply chains than the traditional analytical methods, in this study agent-based modeling methodology has been used to model a generic closed-loop supply chain network design problem with the aims of integrating customer behavior into the network, coping with the dynamism, and obtaining a more realistic structure by eliminating the required assumptions for solving the model with analytical methods. The actors in the CLSC network have been defined as agents with goals, properties and behaviors. In the proposed model dynamic customer arrivals, the changing aspects of customers' purchasing preferences for new and refurbished products and the time, quantity and quality uncertainties of returns have been handled via the proposed agent-based architecture. To observe the behavior of the supply chain in several conditions various scenarios have been developed according to different parameter settings for the supplier capacities, the rate of customers being affected by advertising, the market incentive threshold values, and the environmental awareness of customers. From the scenarios, it has been concluded that the system should be fed in the right amounts for the new and refurbished products to increase the effectiveness of factors such as advertising, incentives, and environmental awareness for achieving the desired sales amounts and cost targets.

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“…Therefore, the decision to reduce the cost of a SC is very important and necessary. A comprehensive framework for a sustainable closed-loop SC network is a practical solution to these challenges (Tavana et al [9]).…”

Section: Sc Network Considering Lead Time or Delivery Timementioning

confidence: 99%

Coordination in the supply chain considering total lead times and delivery times

Mirnourollahi

Rabbani

2022

Scientia Iranica

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This study considers a two-echelon supply chain (SC) consisting of a single vendor and a single buyer by reducing delivery time. This paper examines delivery time optimization as an essential component of lead times. The length of delivery time and production time are studied simultaneously. The delivery time as a decision variable is considered in the proposed model.Reducing delivery time is considered a vital incentive factor in encouraging the buyer to participate in the coordinated model to guarantee profitability. A suggested mathematical model consisting of the profit functions of both participants (i.e., vendor and buyer) are investigated under two decision-making scenarios: the decentralized decision structure and coordinated decision structure.The analyses show that our proposed model ensures better performance for both participants and makes the whole process more profitable by an adequate sharing of risks between two participants.In other words, under the coordinated model, decreasing the delivery time and buyer's shortage costs and increasing the order quantity leads to an increase in the profit of the vendor and buyer.

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A comprehensive framework for sustainable closed-loop supply chain network design

Cited by 64 publications

References 80 publications

Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in a Sustainable, Resilient Supply Chain

Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in a Sustainable, Resilient Supply Chain

An agent-based modeling framework for the design of a dynamic closed-loop supply chain network

Coordination in the supply chain considering total lead times and delivery times

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