A facility location model for global closed-loop supply chain network design

Amin, Saman Hassanzadeh; Baki, Fazle

doi:10.1016/j.apm.2016.08.030

Cited by 118 publications

(72 citation statements)

References 42 publications

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“…Amin and Zhang (2013b) apply theconstraint approach and used a numerical illustration of Copiers Industry to show the applicability of the proposed model. Among the most recent studies, Amin and Baki (2017) propose a multi-objective MIP by considering global factors like exchange rates and customs duties under an uncertain demand pattern and develop a fuzzy solution Ghahremani Nahr et al (2018) investigate a CLSC and propose a so called League Champion meta-heuristic algorithm in their solution approach. Alamdar et al (2018) investigate the optimal decisions in CLSC under a fuzzy price and sales effortdependent demand.…”

Section: Literature Reviewmentioning

confidence: 99%

A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm

Ghahremani-Nahr

Kian

Sabet

2019

Expert Systems with Applications

136

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Section: Literature Reviewmentioning

confidence: 99%

A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm

Ghahremani-Nahr

Kian

Sabet

2019

Expert Systems with Applications

136

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“…Finally, Hassanzadeh and Baki developed a multi-objective mixed-integer linear programming model for a closed-loop supply chain network using a case study approach in Canada. Also, they considered global factors, including exchange rates and customs duties [5].…”

Section: Closed-loop Supply Chainmentioning

confidence: 99%

“…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%

“…Green supply chain is a management approach that seeks to minimize the environmental and environmental impacts of products and services and social collections. Also, green Supply Chain Management is an integrated supply chain of green purchases from suppliers to manufacturing, customer delivery and reverse logistics [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]18,19,[21][22][23][26][27][28][29][30][31][32][34][35][36][37][38][39][40][41][42][43][44][45]. In addition, the idea of green supply chain management is to eliminate or minimizes waste (energy, greenhouse gas, chemical/hazardous emissions).…”

Section: Introductionmentioning

confidence: 99%

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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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“…The bi-objective of minimizing total cost and at the same time maximizing the consumer responsiveness been solved by using multi-objective memetic algorithm [17]. Corley method which is the hybrid of weighted-sum and ε -constraint methods, has been used in order to maximize the on-time delivery from supplier as well as maximizing the total profit [29] and multi-objective particle swarm optimization is used to minimize the total cost and CO 2 emission [30].…”

Section: Strategic Decision Planningmentioning

confidence: 99%

A Review on Strategic, Tactical and Operational Decision Planning in Reverse Logistics of Green Supply Chain Network Design

Misni¹,

Lee²

2017

JCC

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The environmental impact has been a critical issue in supply chain network research. Handling it efficiently will help the firm reduce pollution and save cost. In order to improve the environmental effect on this supply chain network, recovery activity becomes a significant part in the reverse logistics network, due to complexity and heterogeneity. In a reverse logistics network, there are many decision problems to be taken into consideration such as facility location, capacity allocation, production planning and vehicle routing. Each of these problems can be categorized into three types of decision planning: strategic, tactical or operational, based on the time planning horizon. In this paper, we review the literature of supply chain network in an effort to achieve green through implementing reverse logistic practices, and classify the defined problems by the group of decision planning. In general, most of the literatures are focused on the strategic and tactical decision planning, only a few are operational-based. The objective of this paper is to analyze the decision planning being done in this area of research and provide future insights on how to design the reverse logistics network with different decision planning which will reflect the real life scenario.

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A facility location model for global closed-loop supply chain network design

Cited by 118 publications

References 42 publications

A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm

A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm

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

A Review on Strategic, Tactical and Operational Decision Planning in Reverse Logistics of Green Supply Chain Network Design

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