The design of a resilient and sustainable maximal covering closed-loop supply chain network under hybrid uncertainties: a case study in tire industry

2020 ◽  
Author(s):  
Mohamadreza Fazli-Khalaf ◽  
Bahman Naderi ◽  
Mohammad Mohammadi ◽  
Mir Saman Pishvaee
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Tire Industry ◽  
Maximal Covering

scholarly journals Designing a Closed-loop Supply Chain Network Considering Social Factors; A Case Study on Avocado Industry

2022 ◽  
Vol 101 ◽  
pp. 600-631
Author(s):  
Amirhossein Salehi-Amiri ◽  
Ali Zahedi ◽  
Fatemeh Gholian-Jouybari ◽  
Ericka Zulema Rodríguez Calvo ◽  
Mostafa Hajiaghaei-Keshteli
Keyword(s):  
Supply Chain ◽  
Social Factors ◽  
Closed Loop ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain

scholarly journals Economic pricing of complex products in a competitive closed-loop supply chain network under uncertainty: A case study of CoPS industry

2021 ◽  
Author(s):  
Omid - Solgi ◽  
Alireza - Taromi ◽  
jafar ghidar kheljani ◽  
Ehsan - Dehghani
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Closed Loop ◽  
Optimal Solution ◽  
Production Costs ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Complex Products ◽  
Complex Product Systems

The development of technology, the globalization of the economy, and the unpredictable behavior of customers have led to a dynamic and competitive environment in the Complex Product Systems (CoPS) market. Besides, CoPS economic pricing is one of the key factors that significantly reduces production costs of Complex products and systems  ​​and increases competitiveness . In this regard, this paper develops a hybrid data envelopment analysis (DEA) fuzzy mathematical model for economic pricing of CoPS in a competitive closed-loop supply chain network under uncertainty, which leads to productivity and reducing the costs. To achieve the aim of this study, at first, different CoPS providers were evaluated using DEA based on a set of economic, technical, and geographical criteria . The advantage of this evaluation was choosing the right providers, eliminating inappropriate providers, and reducing complexity as one of the fundamental problems in mathematical models. Next, we maximize the benefit of the supply chain using the mathematical model. The objective of the proposed model is to identify strategic and tactical decisions at the same time to provide a fully optimal solution to the model. Furthermore, the presented robust model is capable of providing a stable structure under different uncertainties. This leads to minimizing the purchasing cost of CoPS manufacturers. Eventually, to evaluate the effectiveness and usefulness of the proposed approach, a case study was used to derive important managerial results .

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

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 20
Author(s):  
Mohsen Tehrani ◽  
Surendra M. Gupta
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Production Costs ◽  
Mixed Integer ◽  
Risk Level ◽  
Programming Approach ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Tire Industry ◽  
Hybrid Uncertainty

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.

scholarly journals A Trade-off Analysis of Economic and Environmental Aspects of a Disruption Based Closed-Loop Supply Chain Network

2020 ◽  
Vol 12 (17) ◽  
pp. 7056
Author(s):  
Abdul Salam Khan ◽  
Catalin Iulian Pruncu ◽  
Razaullah Khan ◽  
Khawar Naeem ◽  
Abdul Ghaffar ◽  
...  
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Future Research ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Trade Off ◽  
Carbon Footprints ◽  
Supply Chain Networks ◽  
Tire Industry ◽  
Improved Performance

Closed-loop supply chain networks are gaining research popularity due to environmental, economic and social concerns. Such networks are primarily designed to overcome carbon footprints and to retrieve end of life products from customers. This study considers a multi echelon closed-loop supply chain in the presence of machine disruption. A multi-objective model is presented to optimize the total cost, the total time and emissions in a closed-loop supply chain network. The aim is to analyze the trade-off between the objectives of cost, time, and emissions and how these decisions are impacted by the selection of different available machines. A number of solution approaches are tested on a case study from the tire industry. The results suggest the improved performance of the hybrid heuristic and the importance of controlling disruption in a closed-loop supply chain network. Furthermore, there is a trade-off between the different objective functions which can help the decision maker to choose a particular solution according to the preference of an organization. Finally, conclusion and future research avenues are provided.

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