The effect of uncertainty on the optimal closed-loop supply chain planning under different partnerships structure

Amaro, Ana; Barbosa‐Póvoa, Ana Paula

doi:10.1016/j.compchemeng.2009.06.003

Cited by 55 publications

(20 citation statements)

References 16 publications

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“…Examples include Kusumastuti et al [10] using LINGO software, Zhou and Wang [11] and Amaro and Barbosa-Povoa [12] utilizing the branch and bound method, Mutha and Pokharel [13] and Gomes Salema et al [14] exploiting GAMS software, Pishvaee et al [15] utilizing LINDO software, Li and Marlin [16] using interior point method, and ElSayed et al [17] applying CPLEX software to solve small-sized problems.…”

Section: Literature Reviewmentioning

confidence: 99%

“…El-Sayed et al [17] 2010 [15], [6], [22], [29], [30], [48], [49], [50], [14], [31], [32], [34]). A few researchers try to develop exact algorithms such as branch and bound, interior point method, and analytical approaches in order to cope with design and planning a CLSC ( [16], [35], [12], [36], and [8]). Generally, due to the limitations of exact solvers and approaches, such algorithms cannot solve large-size instances.…”

Section: Literature Reviewmentioning

confidence: 99%

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A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks

Soleimani

Govindan

2015

Applied Mathematical Modelling

244

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Today, tracking the growing interest in closed-loop supply chain shown by both practitioners and academia is easily possible. There are many factors, which transform closed-loop supply chain issues into a unique and vital subject in supply chain management, such as environmental legislation, customer awareness, and the economical motivations of the organizations. However, designing and planning a closed-loop supply chain is an NP-hard problem, which makes it difficult to achieve acceptable results in a reasonable time. In this paper, we try to cope with this problem by proposing a new and effective solution methodology. On the other hand, this research considers improving closed-loop supply chain network optimization processes through dealing with mathematical programming tools; developing a deterministic multi-product, multi-echelon, multi-period model; and finally presenting an appropriate methodology to solve various sizes of instances. Both design and planning decision variables (location and allocation) are considered in the proposed network. Besides, in order to have a reliable performance evaluation process, large-scale instances are regarded in computational analysis. Two popular metaheuristic algorithms are considered to develop a new elevated hybrid algorithm: The Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Analyzing the above-mentioned algorithms' strengths and weaknesses leads us to attempt to improve the GA using some aspects of PSO. Therefore, a new hybrid algorithm is proposed and a complete validation process is undertaken using CPLEX and MATLAB software. In small instances, the global optimum points of CPLEX for the proposed hybrid algorithm are compared to genetic algorithm, and particle swarm optimization. Then, in small, mid, and large-size instances, performances of the proposed meta-heuristics are analyzed and evaluated. Finally, a case study involving an Iranian hospital furniture manufacturer is used to evaluate the proposed solution approach. The results reveal the superiority of the proposed hybrid algorithm when compared to the GA and PSO.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks

Soleimani

Govindan

2015

Applied Mathematical Modelling

244

View full text Add to dashboard Cite

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“…A CLSC consists of a forward and a reverse supply chain. e forward supply chain involves the movement of products from upstream suppliers to downstream consumers, while the reverse supply chain involves the movement of used or end-of-life products from consumers to upstream suppliers [21]. In a CLSC, it is suggested that once the products are sold to consumers, the responsibilities of producers for dealing with sustainability issues should not end.…”

Section: Literature Reviewmentioning

confidence: 99%

Pricing Decisions in a Competitive Closed-Loop Supply Chain with Duopolistic Recyclers

Lee

2020

Mathematical Problems in Engineering

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In this study, we consider a three-echelon closed-loop supply chain consisting of a manufacturer, a collector, and two duopolistic recyclers. In the supply chain, the collector collects end-of-life products from consumers in the market. Then, both recyclers purchase the recyclable waste from the collector, and each recycler turns them into new materials. The manufacturer has no recycling facilities; therefore, the manufacturer only purchases the recycled and new materials for its production from the two recyclers. Under this scenario, price competition between recyclers is inevitable. With two pricing structures (Nash and Stackelberg) of the leaders group and three competition behaviors (Collusion, Cournot, and Stackelberg) of the followers group, we suggest six different pricing game models. In each of them, we establish a pricing game model among the members, prove the uniqueness of the equilibrium prices of the supply chain members, and discuss the effects of competition on the overall supply chain’s profitability. Our numerical experiment indicates that as the price competition between recyclers intensifies, the supply chain profitability decreases. Moreover, the greater the recyclability degree of the waste is, the higher the profits in the supply chain become.

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“…Bloemhof-Ruwaard et al. (2005), Amaro and Barbosa-Povoa (2009), in the closed-loop supply chain, have studied in mixed integer programming model. Amin and Zhang (2013), studied stochastic mixed integer linear programming model, Paydar et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Closed Loop Supply Chain Management Performance Evaluation Criteria

Yontar

Ersöz

2019

Turkish Journal of Engineering

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Evaluating chain performance to develop an effective supply chain has become a necessity because it plays a critical role in the success of businesses. The most important decision to evaluate the chain performance is the correct selection of indicators. The closed-loop supply chain method consists of a whole of forward and reverse logistics activities. For this reason, advanced supply chain management and reverse supply chain management performances are handled separately in this study. The performance evaluation criteria which are discussed by the authors who work on the supply chain management performance evaluation issues are analyzed and it is stated that the authors make a study by taking into consideration the evaluation criteria. At the same time, the articles examined in reverse supply chain management performance evaluation studies are examined and all criteria are summarized as a table. In the light of these studies, the planned criteria for the use of closed loop supply chain management performance evaluation of the enterprises have emerged. With the main criteria being divided into Economic, Social and Environmental headings, which are supposed to bring innovation to the literature, the sub-criteria are detailed. These titles were brought together both for the first time in closed loop supply chain management performance evaluation and as a main topic in advanced supply chain management. The performance criteria reduced to subheadings will help the experts to continue their studies, and it is thought that they will guide the future studies.

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The effect of uncertainty on the optimal closed-loop supply chain planning under different partnerships structure

Cited by 55 publications

References 16 publications

A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks

A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks

Pricing Decisions in a Competitive Closed-Loop Supply Chain with Duopolistic Recyclers

Closed Loop Supply Chain Management Performance Evaluation Criteria

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