A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations

Rezaei, Saeid; Kheirkhah, Amir Saman

doi:10.1007/s10588-017-9247-3

Cited by 42 publications

(22 citation statements)

References 87 publications

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“…Some assumptions like limitation on available capacity of supply chains' facilities, employing heterogeneous fleet of vehicles for shipping products and using hybrid facilities help the developed model to be harmonized with many real-world CLSC networks. Furthermore, consistent with the relevant literature, some assumptions such as deterministic parameters [29,46], the same function and quality of new and recovered products [42,87,23], demands fulfillment [72,33] and nonexistence of flow between the facilities of the same stage [32,76]are included in the present model.…”

Section: Assumptions and Notationsmentioning

confidence: 92%

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The optimization of a multi-period multi-product closed-loop supply chain network with cross-docking delivery strategy

Kangi

Pasandideh

Mehdizadeh

et al. 2022

JIMO

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The main reason for the development of this research refers to the increased attention of businesses to the CLSC concept due to the social responsibilities, strict international legislations and economic motives. Hence, this study investigates the issue of optimizing a CLSC problem involving multiple manufacturers, a hybrid cross-dock/collection center, multiple retailers and a disposal center in deterministic, multi-product and multi-period contexts. The bi-objective MILP model developed here is to simultaneously minimize total costs and total processing time of CLSC. Both strategic and tactical decisions are considered in the model where retailer demands and capacity constraints are satisfied. Since the presented model is NP-hard, NSGAII and MOPSO are hired to find near-to-optimal results for practical problem sizes in polynomial time.Then, to increase the accuracy of solutions by tuning the algorithms' parameters, the Taguchi method is applied. The practicality of the developed

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Section: Assumptions and Notationsmentioning

confidence: 92%

“…The results of this research show the role of reverse cross-docking in costs reduction, time saving and information management improvement. [72] designed a sustainable CLSC along with using cross-docking strategy. The proposed problem has focused on recovery and treatment processes of used products (i.e.…”

Section: Multi-objective Optimization In Clscmentioning

confidence: 99%

The optimization of a multi-period multi-product closed-loop supply chain network with cross-docking delivery strategy

Kangi

Pasandideh

Mehdizadeh

et al. 2022

JIMO

View full text Add to dashboard Cite

show abstract

“…Rezaei and Kheirkhah [69] developed a multi-echelon supply chain network model considering three objectives, e.g., economic, environmental, and social requirements. Initially, a multi-objective MILP model was structured; later on, a multi-objective CS strategy was implemented on the aforementioned model.…”

Section: Applications Of Cuckoo Search (Cs) In Comentioning

confidence: 99%

Nature-Inspired Metaheuristic Techniques for Combinatorial Optimization Problems: Overview and Recent Advances

et al. 2021

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Combinatorial optimization problems are often considered NP-hard problems in the field of decision science and the industrial revolution. As a successful transformation to tackle complex dimensional problems, metaheuristic algorithms have been implemented in a wide area of combinatorial optimization problems. Metaheuristic algorithms have been evolved and modified with respect to the problem nature since it was recommended for the first time. As there is a growing interest in incorporating necessary methods to develop metaheuristics, there is a need to rediscover the recent advancement of metaheuristics in combinatorial optimization. From the authors’ point of view, there is still a lack of comprehensive surveys on current research directions. Therefore, a substantial part of this paper is devoted to analyzing and discussing the modern age metaheuristic algorithms that gained popular use in mostly cited combinatorial optimization problems such as vehicle routing problems, traveling salesman problems, and supply chain network design problems. A survey of seven different metaheuristic algorithms (which are proposed after 2000) for combinatorial optimization problems is carried out in this study, apart from conventional metaheuristics like simulated annealing, particle swarm optimization, and tabu search. These metaheuristics have been filtered through some key factors like easy parameter handling, the scope of hybridization as well as performance efficiency. In this study, a concise description of the framework of the selected algorithm is included. Finally, a technical analysis of the recent trends of implementation is discussed, along with the impacts of algorithm modification on performance, constraint handling strategy, the handling of multi-objective situations using hybridization, and future research opportunities.

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“…The decision variables at this stage are usually binary variables, which use 0 or 1 to define whether a facility is open, and whether a mode of transportation is selected and the technology is employed for remanufacturing or not. The mode of transportation can be selected by setting different vehicle types [31,39,41,43,44] or different types of transportation [36,[45][46][47][48]. Remanufacturing technology [30,39,[47][48][49][50] is related to the cost of the remanufactured products and the remanufacturing processes, rather than the location or capacity of the facility.…”

Section: Decision Variablesmentioning

confidence: 99%

“…The mode of transportation can be selected by setting different vehicle types [31,39,41,43,44] or different types of transportation [36,[45][46][47][48]. Remanufacturing technology [30,39,[47][48][49][50] is related to the cost of the remanufactured products and the remanufacturing processes, rather than the location or capacity of the facility. Different remanufacturing technologies, such as inspection, cleaning, and repair (laser surface cladding, brush plating and thermal spray), require different equipment and incur different costs.…”

Section: Decision Variablesmentioning

confidence: 99%

A Review on Remanufacturing Reverse Logistics Network Design and Model Optimization

et al. 2021

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Remanufacturing has gained great recognition in recent years due to its economic and environmental benefits and effectiveness in the value retention of waste products. Many studies on reverse logistics have considered remanufacturing as a key node for network optimization, but few literature reviews have explicitly mentioned remanufacturing as a main feature in their analysis. The aim of this review is to bridge this gap. In total, 125 papers on remanufacturing reverse logistics network design have been reviewed and conclusions have been drawn from four aspects: (1) in terms of network structure, the functional nodes of new hybrid facilities and the network structure combined with the remanufacturing technologies of products are the key points in the research. (2) In the mathematical model, the multi-objective function considered from different aspects, the uncertainty of recovery time and recovery channel in addition to quantity and quality, and the selection of appropriate algorithms are worth studying. (3) While considering product types, the research of a reverse logistics network of some products is urgently needed but inadequate, such as medical and furniture products. (4) As for cutting-edge technologies, the application of new technologies, such as intelligent remanufacturing technology and big data, will have a huge impact on the remanufacturing of a reverse logistics network and needs to be considered in our research.

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A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations

Cited by 42 publications

References 87 publications

The optimization of a multi-period multi-product closed-loop supply chain network with cross-docking delivery strategy

The optimization of a multi-period multi-product closed-loop supply chain network with cross-docking delivery strategy

Nature-Inspired Metaheuristic Techniques for Combinatorial Optimization Problems: Overview and Recent Advances

A Review on Remanufacturing Reverse Logistics Network Design and Model Optimization

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