scholarly journals Designing an Agile Closed-Loop Supply Chain with Environmental Aspects Using a Novel Multiobjective Metaheuristic Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Liu Kai ◽  
Ramina Malekalipour Kordestanizadeh
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Closed Loop ◽  
Supply Chain Design ◽  
Supply Chain Network ◽  
Metaheuristic Algorithm ◽  
Environmental Aspects ◽  
Closed Loop Supply Chain ◽  
The Mathematical Model ◽  
Constraint Method

Success in supply chain implementation depends on the way of dealing with market changes and customer needs. Agility is a concept that has been introduced in recent years to improve the supply chain. On the other hand, paying attention to environmental problems is another issue, and chains are trying to increase their popularity by focusing on this issue. Considering the importance of this issue, designing a multiobjective closed-loop supply chain network has been discussed in this research. The main contribution of this research is the integration of green and agility concepts in supply chain design. In this regard, a mathematical model is presented with economic, environmental, and agility objectives. First, the mathematical model is solved using the Epsilon constraint method, and then, the multiobjective weed algorithm is proposed to solve the model. The results of comparisons between the two methods show that the multiobjective weed algorithm has performed well in terms of various metrics of NPS, SNS, and Max Spread. In terms of the solving time, the average solving time of this algorithm was about 0.1% of the solving time of the Epsilon constraint method. Moreover, all cases show the superiority of the multiobjective weed algorithm over the Epsilon constraint method in solving the proposed mathematical model.

A multi-objective model for sustainable closed-loop supply chain of perishable products under two carbon emission regulations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saman Esmaeilian ◽  
Dariush Mohamadi ◽  
Majid Esmaelian ◽  
Mostafa Ebrahimpour
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Life Cycle ◽  
Carbon Emission ◽  
Closed Loop ◽  
Perishable Products ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Content Type ◽  
Trade Model

Purpose This paper aims to minimize the total carbon emissions and costs and also maximize the total social benefits. Design/methodology/approach The present study develops a mathematical model for a closed-loop supply chain network of perishable products so that considers the vital aspects of sustainability across the life cycle of the supply chain network. To evaluate carbon emissions, two different regulating policies are studied. Findings According to the obtained results, increasing the lifetime of the perishable products improves the incorporated objective function (IOF) in both the carbon cap-and-trade model and the model with a strict cap on carbon emission while the solving time increases in both models. Moreover, the computational efficiency of the carbon cap-and-trade model is higher than that of the model with a strict cap, but its value of the IOF is worse. Results indicate that efficient policies for carbon management will support planners to achieve sustainability in a cost-effectively manner. Originality/value This research proposes a mathematical model for the sustainable closed-loop supply chain of perishable products that applies the significant aspects of sustainability across the life cycle of the supply chain network. Regional economic value, regional development, unemployment rate and the number of job opportunities created in the regions are considered as the social dimension.

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 A Robust Mathematical Model for Sustainable and Resilient Supply Chain Network Design: Preparing a Supply Chain to Deal with Disruptions

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Zahra Sadeghi ◽  
Omid Boyer ◽  
Shila Sharifzadeh ◽  
Nadia Saeidi
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Stochastic Programming ◽  
Programming Approach ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Environmental Aspects ◽  
Average Performance ◽  
Management Approaches ◽  
Constraint Method

Supply chains suffer from serious vulnerabilities and disruptions with increasing global crises, including pandemics and natural disasters. Dynamic and complex supply chain environments have constantly led companies to modern management approaches such as resilience to address disruptions. Besides, the sustainability approach enhances the strength of the supply chain in disruptions by considering economic, social, and environmental aspects. This paper develops a mathematical model for designing a supply chain network considering resilience and sustainability. In this model, suppliers were exposed to disruption with different probabilities. The model has three objectives: minimizing total costs and maximizing suppliers’ social and environmental scores. A robust scenario-based stochastic programming approach has been used for potential disruption scenarios. The multiobjective model is solved by the ε -constraint method in GAMS software. The numerical results show the performance of the model in a different situation. Also, the robust scenario-based stochastic programming approach allows the average performance of the supply chain in each objective to improve.

scholarly journals A mathematical model for designing a reliable cellular hybrid manufacturing-remanufacturing system considering alternative and contingency process routings

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Amirreza Hooshyar Telegraphi ◽  
Akif Asil Bulgak
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Manufacturing Systems ◽  
Closed Loop ◽  
Sustainable Manufacturing ◽  
Critical Issue ◽  
Economic Benefits ◽  
Mixed Integer ◽  
Hybrid Manufacturing ◽  
Closed Loop Supply Chain

AbstractDue to the stringent awareness toward the preservation and resuscitation of natural resources and the potential economic benefits, designing sustainable manufacturing enterprises has become a critical issue in recent years. This presents different challenges in coordinating the activities inside the manufacturing systems with the entire closed-loop supply chain. In this paper, a mixed-integer mathematical model for designing a hybrid-manufacturing-remanufacturing system in a closed-loop supply chain is presented. Noteworthy, the operational planning of a cellular hybrid manufacturing-remanufacturing system is coordinated with the tactical planning of a closed-loop supply chain. To improve the flexibility and reliability in the cellular hybrid manufacturing-remanufacturing system, alternative process routings and contingency process routings are considered. The mathematical model in this paper, to the best of our knowledge, is the first integrated model in the design of hybrid cellular manufacturing systems which considers main and contingency process routings as well as reliability of the manufacturing system.

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