Meta-heuristics for reverse logistics: A literature review and perspectives

Rachih, Hanane; Mhada, Fatima Zahra; Chiheb, Raddouane

doi:10.1016/j.cie.2018.11.058

Cited by 53 publications

(37 citation statements)

References 135 publications

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“…Genetic algorithm is an algorithm based on evolution and is widely used in many logistics and warehouse‐related problems (Griffis et al, 2012; Ardjmand et al, 2015, 2016; Ardjmand and Huh, 2017; Alshamsi and Diabat, 2017; Gen et al, 2018; Rachih et al, 2019). Model

scriptM

can be solved efficiently for small problems using exact methods, but memory and time limitations do not allow solving it for large instances.…”

Section: Methodsmentioning

confidence: 99%

Carton Set Optimization in E‐commerce Warehouses: A Case Study

Singh

Ardjmand

2020

J of Business Logistics

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I n this study, a three-stage methodology for carton set optimization in e-commerce warehouses is proposed and evaluated on three DHL Supply Chain warehouses. The methodology includes order cubing, carton grouping, and optimal carton set selection. A modified largest area fits first algorithm for order cubing is proposed. For optimal carton set selection, a genetic algorithm with a novel crossover strategy is introduced. The results show that the proposed carton set optimization approach can improve the shipping cost and carton utilization by 7% and 7.8%, and considerably improve the carbon footprint of the operations, even when the number of carton types is not changed.

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scriptM

can be solved efficiently for small problems using exact methods, but memory and time limitations do not allow solving it for large instances.…”

Section: Methodsmentioning

confidence: 99%

Carton Set Optimization in E‐commerce Warehouses: A Case Study

Singh

Ardjmand

2020

J of Business Logistics

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“…Medical waste collection and recycling problems can be defined as a PVRPTW, which determines minimum distance routes in a reverse logistics network. Among the research problems in reverse logistics, VRP is one of the most important and most widely studied combinatorial optimisation problems because of its complexity and importance in cost minimisation in transportation networks [3]. e spread of COVID-19 puts the whole world into danger and panic, and, of course, the amount of medical waste from COVID-19 encounters explosive growth, which places pressure on the waste disposing systems and poses a great threat of virus infection to the public.…”

Section: Literature Reviewmentioning

confidence: 99%

Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows

Gao

et al. 2021

Scientific Programming

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The increasing gap between medical waste production and disposal stresses the urgency of further development of urban medical waste recycling. This paper investigates an integrated optimisation problem in urban medical waste recycling network. It combines the vehicle routing problem of medical facilities with different requirements and the collection problem of clinics’ medical waste to the affiliated hospital. To solve this problem, a compact mixed-integer linear programming model is proposed, which takes account of the differentiated collection strategy and time windows. Since the medical waste recycling operates according to a two-day pattern, the periodic collection plan is also embedded in the model. Moreover, we develop a particle swarm optimisation (PSO) solution approach for problem-solving. Numerical experiments are also conducted to access the solution efficiency of the proposed algorithm, which can obtain a good solution in solving large-scale problem instances within a reasonable computation time. Based on the results, some managerial implications can be recommended for the third-party recycling company.

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“…According to the research conducted by Rachih et al, the process of RL can be described as collection, inspection and sorting, and the last step is re-processing [24]. Product recovery is the first step and also a key step in establishing an effective and profitable reverse logistics system [12].…”

Section: Background On Rlmentioning

confidence: 99%

A Review of the Criteria and Methods of Reverse Logistics Supplier Selection

Zhang

Wang

2020

Processes

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This article presents a literature review on reverse logistics (RL) supplier selection in terms of criteria and methods. A systematic view of past work published between 2008 and 2020 on Web of Science (WOS) databases is provided by reviewing, categorizing, and analyzing relevant papers. Based on the analyses of 41 articles, we propose a three-stage typology of decision-making frameworks to understanding RL supplier selection, including (a) establishment of the selection criteria; (b) calculation of the relative weights and ranking of the selection criteria; (c) ranking of alternatives (suppliers). The main discoveries of this review are as follows. (1) Attention to the field of RL supplier selection is increasing, as evidenced by the increasing number of papers in the field. With the adaption of circular economy legislation and the need resource and business resilience, it is expected that RL and RL supplier selection will be a hot topic in the near future. (2) A large number of papers take “sustainability” as the theoretical approach to carry out research and use it as the basis for determining the criteria. (3) Multi-criteria decision making (MCDM) methods have been widely used in RL supplier selection and have been constantly innovated. (4) Artificial intelligence methods are also gradually being applied. Finally, gaps in the literature are identified to provide directions for future research. (5) Value-added service is underrepresented in the current study and needs further attention.

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Meta-heuristics for reverse logistics: A literature review and perspectives

Cited by 53 publications

References 135 publications

Carton Set Optimization in E‐commerce Warehouses: A Case Study

Carton Set Optimization in E‐commerce Warehouses: A Case Study

Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows

A Review of the Criteria and Methods of Reverse Logistics Supplier Selection

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