A fuzzy pricing model for a green competitive closed-loop supply chain network design in the presence of disruptions

Ghomi-Avili, Morteza; Naeini, Seyed Gholamreza Jalali; Tavakkoli–Moghaddam, Reza; Jabbarzadeh, Armin

doi:10.1016/j.jclepro.2018.03.273

Cited by 102 publications

(48 citation statements)

References 56 publications

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“…Therefore, quantities supplied by rivals are variables in the proposed model. Finally, [50] do not only design a competitive supply chain, but they take into account green and closed-loop characteristics in a bi-objective fuzzy model that considers both operational and disruption risks.…”

Section: Main Findings From the Slr Processmentioning

confidence: 99%

Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review

Tordecilla

Juan

Montoya‐Torres

et al. 2021

Simulation Modelling Practice and Theory

101

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The design of supply chain networks (SCNs) aims at determining the number, location, and capacity of production facilities, as well as the allocation of markets (customers) and suppliers to one or more of these facilities. This paper reviews the existing literature on the use of simulation-optimization methods in the design of resilient SCNs. From this review, we classify some of the many works in the topic according to factors such as their methodology, the approach they use to deal with uncertainty and risk, etc. The paper also identifies several research opportunities, such as the inclusion of multiple criteria (e.g., monetary, environmental, and social dimensions) during the design-optimization process and the convenience of considering hybrid approaches combining metaheuristic algorithms, simulation, and machine learning methods to account for uncertainty and dynamic conditions, respectively.

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Section: Main Findings From the Slr Processmentioning

confidence: 99%

Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review

Tordecilla

Juan

Montoya‐Torres

et al. 2021

Simulation Modelling Practice and Theory

101

View full text Add to dashboard Cite

show abstract

“…In addition to the above, Asl-Najafi et al [34] also researched the inventory design under interruption risk. Ghomi-Avili et al [35] proposed a fuzzy biobjective bilevel model with a price-dependent demand for the network design in the presence of random disruptions at suppliers. Jabbarzadeh et al [36] established a flexible CLSC network based on the consideration of lateral transfer as a 2…”

Section: Clsc Considering Supply Disruption Supply Chain Disruptionmentioning

confidence: 99%

Optimal Strategies for CLSC considering Supply Disruption and Carbon Tax

Tong

Yang

2020

Mathematical Problems in Engineering

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Under the background of economic globalization, supply chain is becoming more and more complex, which is manifested in the instability of external environment. On the one hand, with the improvement of global environmental protection awareness, the government's policy tools for environmental impact (carbon tax) on the whole supply chain have become one of the major external problems faced by the supply chain enterprises; on the other hand, the intensification of competition between upstream and downstream in supply chains makes supply disruption an important proposition to be solved urgently. In this paper, the two propositions of green and supply disruption are reduced to two factors affecting the cost. The average total cost function of the manufacturer as a recycler is established. The practicability of the algorithm and the effectiveness of the model are verified by Lingo, Particle Swarm Optimization, and Genetic Algorithm, with the purpose of obtaining the optimal strategies for manufacturers who play the role of the recycler in the closed-loop supply chain.

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“…According to this figure, the algorithm begins with the random initial population and the generation of initial empires and is repeated in a cycle of assimilating policy and imperialist competition [1,13]. (20,9,4,10,16,3,3) 6 (27,11,4,9,17,4,3,5) Large scale 7 (32,14,6,8,12,8,2,3) 8 (37,18,6,10,16,3,3) 9 (40,22,6,9,17,4,3,5) 5. Computational experiments…”

Section: Convergencementioning

confidence: 99%

“…In the past decade, due to the increasing importance of economic competitiveness, the improvement of service levels, legal pressures and environmental concerns in the area of worn-out products, the issue of closedloop supply chain has attracted many researchers [33]. For this reason, companies need to focus on closed loop supply chain activities such as reuse, recycling, re-production and disposal [17]. Closed-loop supply chain network consists of forward and reverse supply chains.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy multi-objective programming approach to develop a green closed-loop supply chain network design problem under uncertainty: Modifications of imperialist competitive algorithm

Fakhrzad

Goodarzian

2019

RAIRO-Oper. Res.

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The last decade has seen a numerous studies focusing on the closed-loop supply chain. Accordingly, the uncertainty conditions as well as the green emissions of facilities are still open issues. In this paper, a new fuzzy multi-objective programming approach is to present for a production-distribution model in order to develop a multi-product, multi-period and multi-level green closed-loop supply chain network problem, which this model is formulated as multi-objective mixed linear integer programming (MOMILP). In regards to offered fuzzy multi-objective model, three conflicting goals are exited, simultaneously. The objective functions are to minimizing the total cost, minimizing the gas emissions costs due to vehicle movements between centers, and maximizing the reliability of delivery demand due to the reliability of the suppliers. To get closer to real-world applications, the parameters of model are considered by fuzzy numbers. Another novelty of proposed model is in the solution methodology. To solve the model, this study not only uses a well-known Imperialist Competitive Algorithm (ICA) but a number of new modifications of ICA (MICA) also have been provided to address the proposed problem, which is to demonstrate the efficiency and performance of the proposed algorithm with other algorithms included: SA, ICA, ACO, GA, and PSO are compare. Finally, different analyses with a variety of problem complexity in different sizes are performed to assess the performance of algorithms as well as some sensitivity analyses on the efficiency of model are studied.

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A fuzzy pricing model for a green competitive closed-loop supply chain network design in the presence of disruptions

Cited by 102 publications

References 56 publications

Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review

Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review

Optimal Strategies for CLSC considering Supply Disruption and Carbon Tax

A Fuzzy multi-objective programming approach to develop a green closed-loop supply chain network design problem under uncertainty: Modifications of imperialist competitive algorithm

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