Robust design of a multi-objective closed-loop supply chain by integrating on-time delivery, cost, and environmental aspects, case study of a Tire Factory

Abdolazimi, Omid; Esfandarani, Mitra Salehi; Salehi, Maryam; Shishebori, Davood

doi:10.1016/j.jclepro.2020.121566

Cited by 55 publications

(18 citation statements)

References 44 publications

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“…In the years ahead, Abdolazimi et al ( 2020 ) proposed a three-objective MILP model for the selection of ELT suppliers for recycling plants based on the time delivery, total profit, and environmental impact. Ghasemzadeh et al ( 2020 ) established MILP formulations for real-life CLSC applications in the Iranian tire industry.…”

Section: Resultsmentioning

confidence: 99%

End-of-life tire management: a critical review

Dabić-Miletić

Šimić

Karagöz

2021

Environ Sci Pollut Res

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Environmental and social awareness are the key elements of the sustainable tire industry. End-of-life tire (ELT) waste flow is an important environmental problem worldwide since it produces severe air, water, and soil pollution issues. Significant advancements have been made in ELT management in the last few years. As a result, ELTs should not only be regarded as waste but also as a source of environmentally friendly materials. Besides, sound ELT management has vital importance for circular economy and sustainable development. Over the last decade, ELT management has attracted many researchers and practitioners. Unfortunately, a comprehensive review of the ELT management area is still missing. This study presents the first critical review of the whole ELT management area. It aims to present an extensive content analysis overview of state-of-the-art research, provide its critical analysis, highlight major gaps, and propose the most significant research directions. A total of 151 peer-reviewed studies published in the journals between 2010–2020 are collected, analyzed, categorized, and critically reviewed. This review study redounds comprehensive insights, a valuable source of references, and major opportunities for researchers and practitioners interested in not only ELT material flow but also the whole waste management area. Graphical abstract

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Section: Resultsmentioning

confidence: 99%

End-of-life tire management: a critical review

Dabić-Miletić

Šimić

Karagöz

2021

Environ Sci Pollut Res

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“…In many mathematical models, with increasing the problem size, the computational complexity of the model also increases exponentially so that the exact solutions cannot be calculated in a logical time (Abdolazimi et al, 2020b;Abdolazimi et al, 2020c). Following this, various methods have been proposed by researchers who use a particular approach to seek approximate and near-optimal solutions.…”

Section: Proposed Decomposition Algorithmsmentioning

confidence: 99%

Designing a new mathematical model based on ABC analysis for inventory control problem: A real case study

et al. 2021

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In modern business today, organizations that hold large numbers of inventory items, do not find it economical to make policies for the management of individual inventory items. Managers, thus, need to classify these items according to their importance and fit each item to a certain asset class. The method of grouping and inventory control available in traditional ABC has several disadvantages. These shortcomings have led to the development of an optimization model in the present study to improve the grouping and inventory control decisions in ABC. Moreover, it simultaneously optimizes the existing business relationships among revenue, investment in inventory and customer satisfaction (through service levels) as well as a company's budget for inventory costs. In this paper, a mathematical model is presented to classify inventory items, taking into account significant profit and cost reduction indices. The model has an objective function to maximize the net profit of items in stock. Limitations such as budget even inventory shortages are taken into account too. The mathematical model is solved by the Benders decomposition and the Lagrange relaxation algorithms. Then, the results of the two solutions are compared. The TOPSIS technique and statistical tests are used to evaluate and compare the proposed solutions with one another and to choose the best one. Subsequently, several sensitivity analyses are performed on the model, which helps inventory control managers determine the effect of inventory management costs on optimal decision making and item grouping. Finally, according to the results of evaluating the efficiency of the proposed model and the solution method, a real-world case study is conducted on the ceramic tile industry. Based on the proposed approach, several managerial perspectives are gained on optimal inventory grouping and item control strategies.

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“…Sahe-bJamnia et al (2018) also modeled a robust closed-loop supply chain of the tire industry and used hybrid metaheuristic algorithms to solve the model [63]. Abdolazimi et al (2019) proposed a multi-objective closed-loop supply chain by integrating on time delivery and the cost [64]. Mehrjerdi at al.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a Sustainable Green Closed-Loop Supply Chain under Uncertainty and Various Capacity Levels

Tehrani

Gupta

2021

Logistics

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The ever-increasing concerns of the growth in the volume of waste tires and new strict government legislations to reduce the environmental impact of the end-of-life (EOL) tires have increased interest among companies to design a sustainable and efficient closed-loop supply-chain (CLSC) network. In the real world, the CLSC network design is subject to a variety of uncertainties, such as random and fuzzy (epistemic) uncertainties. Designing a reliable and environmentally cautious CLSC with consideration of risks and the uncertainty of the parameters in the network is necessary for a successful supply-chain network. This study proposes a sustainable and environmentally cautious closed-loop supply-chain network for the tire industry, by considering several recovery options, including retreading, recycling, and energy recovery. This study aims to design and develop a robust multi-objective, multi-product, multi-echelon, multi-cycle, multi-capacity, green closed-loop supply-chain network under hybrid uncertainty. There are two types of uncertainties associated with the parameters in the network. There is an uncertainty associated with the demand, which is expressed in some future scenarios according to the probability of their occurrences, as well as fuzzy-based uncertainty associated with return rates, retreading rates, recycling rates, procurement, and production costs, which are expressed with possibilistic distributions. In order to deal with this hybrid uncertainty, a robust fuzzy stochastic programming approach has been proposed, and the proposed mixed integer programming model is applied to a case study in the tire industry to validate the model. The result indicates the applicability of the proposed model and its efficiency to control the hybrid uncertainties and the risk level in the network.

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Robust design of a multi-objective closed-loop supply chain by integrating on-time delivery, cost, and environmental aspects, case study of a Tire Factory

Cited by 55 publications

References 44 publications

End-of-life tire management: a critical review

End-of-life tire management: a critical review

Designing a new mathematical model based on ABC analysis for inventory control problem: A real case study

Designing a Sustainable Green Closed-Loop Supply Chain under Uncertainty and Various Capacity Levels

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