Green reverse supply chain network design considering location-routing-inventory decisions with simultaneous pickup and delivery

Parast, Zeinab Zarrat Dakhely; Haleh, Hassan; Darestani, Soroush Avakh; Amin-Tahmasbi, Hamzeh

doi:10.1007/s11356-021-13770-4

Cited by 16 publications

(6 citation statements)

References 52 publications

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“…Furthermore, Ref. [108] established a bi-objective MILP to design green supply chain management (GSCM) that considered forward and reverse flows. This LIRP model also considered simultaneous pickup and delivery, vehicle routing problem (VRP), and TW.…”

Section: Solution Methods Of Milp Modelmentioning

confidence: 99%

“…Demand is a variable form, which mainly assumes that customer demand has a coefficient of change or is a hypothetical consumer demand function or that these needs may differ from time to time. There are 21 papers that covered this issue [42,[55][56][57]73,[96][97][98][99][100][101][102][103][104][105][106][107][108][109][110][111].…”

Section: Classification Based On Demand Data Typesmentioning

confidence: 99%

“…Undeniably, reducing air, water, and waste pollution is the primary goal of the green supply chain. In particular, green operations can also improve a company's asset efficiency as well as its positive image by reducing waste generation, product reuse and recycling, reducing manufacturing costs, and improving customer satisfaction [108]. A sustainable CLSC aims to reduce waste by recycling previously discarded products (repairing, reselling, or dismantling parts) into the value chain [140].…”

Section: Classification Based On Applicationsmentioning

confidence: 99%

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Logistics Center Location-Inventory-Routing Problem Optimization: A Systematic Review Using PRISMA Method

et al. 2022

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A traditional logistics decision model mainly studies the location decision of logistics distribution centers, storage inventory management, vehicle scheduling, and transportation routes. The logistics location-inventory-routing problem (LIRP) is an integrated optimization of the three problems—a comprehensive optimization problem for the whole logistics system. This review paper uses the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) method to review the literature on LIRP systematically. A total of 112 LIRP-related studies published between 2010 and 2021 are reviewed and classified based on 10 abstract and citation databases. The classification includes four aspects: problem characteristics, demand data types, model-based solutions, and application fields. From this systematic review, a few observations are recorded. First, the most popular problems among researchers are the multi-period multi-product problem, the multi-echelon single-link problem, and the multi-depot multi-retailer problem. Based on the objective function, the minimization of total supply chain cost is the primary concern of the LIRP literature. Researchers also favor other problem characteristics such as multi-objective programming, inventory control replenishment policy, and a homogeneous fleet of vehicles. We found that stochastic data are a common factor in an uncertain environment and have broad coverage. When dealing with the LIRP, heuristic and metaheuristic algorithms are the most widely used solution methodologies in the literature. In the application field of LIRP, the perishable products logistics network is mentioned in most applications. Finally, we discuss and emphasize the challenges of and recommendations for future work. This paper provides a systematic review of the literature on LIRP based on the PRISMA method, which contributes vital support and valuable information for researchers interested in LIRP.

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Section: Solution Methods Of Milp Modelmentioning

confidence: 99%

Section: Classification Based On Demand Data Typesmentioning

confidence: 99%

Section: Classification Based On Applicationsmentioning

confidence: 99%

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Logistics Center Location-Inventory-Routing Problem Optimization: A Systematic Review Using PRISMA Method

et al. 2022

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“…Second, the blue relationship chain includes Islamic Azad Univ (9 times), Univ Kashan (2 times), Univ Yasuj (4 times), Coventry Univ (5 times), and Chung Yuan Christian Univ (5 times) with a total of 25 co-citations. For example, Univ Yasuj and Islamic Azad Univ collaborate on optimizing wastewater for green adsorption production and processing processes [30]; Coventry Univ and Islamic Azad Univ collaborate on research on reverse supply chain network issues in green supply chains [31].…”

Section: Regional and Author Distribution Analysismentioning

confidence: 99%

A Study on the Visual Communication and Development of Green Design: A Cross-Database Prediction Analysis from 1972 to 2022

2023

Sustainability

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This paper resulted from 1775 pieces of literature from the WoS database and 1923 from the CNKI database. The research framework, development process, internal relations, and key hot topics of green design were explored through the tool of CiteSpace metrology. Four main research results were presented: (1) Green design began to grow explosively around 2015. The design revolved around energy saving, material selection, and other aspects, with a high rate of cooperation, high reference, a large number of publications, and other upsurge phenomena in each branch of the formation. (2) There is the highest volume and popularity of research in the CNKI database. At the same time, in WoS, the United States still has the most disciplinary influence and academic exchange freedom. (3) WoS focuses on solving practical problems of branch disciplines, mainly chemical engineering, experiments, and case analyses. The hot topics in CNKI tend to be design subjects, mainly design technology, management, and theory. (4) There are few basic types of research on the WoS database; CNKI pays more attention to design theoretical research. The two databases form complementary solutions to ensure the future development of green design. The results indicate that green design should be envisioned as an eco-friendly approach, emphasizing optimizing human and management practices, innovative design principles, sustainable processes, and consideration of sociocultural impacts.

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“…Meanwhile, some scholars have also applied the VRPSPD to supply chain network design. For example, Azizi and Hu (2020) proposed a supply chain network model that simultaneously considers the distribution center location, pickup and delivery processes and direct distribution process; Parast et al (2021) developed a green supply chain network model that fully considers the forward and reverse flows of perishable products, and the model includes the location, VRPSPD and inventory problems.…”

Section: Vehicle Routing Problemmentioning

confidence: 99%

A multi-period closed-loop supply chain network design with circular route planning

Han

Mo²,

Chen³

et al. 2022

Ann Oper Res

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The routing problem is a critical issue in closed-loop supply chain neatwork design, but it is typically simplified in the literature. In contrast to the traditional approach of a pointto-point delivery between two logistics nodes or a routing problem at the terminal distribution stage in a closed-loop supply chain (CLSC), we propose a multi-period CLSC network that considers circular routing in the network's echelons to reduce empty running. First, we formulate reversible transportation mechanism (RTM) and circular transportation mechanism (CTM), and construct two CLSC network models for a three-echelon supply chain network respectively. The models fully consider backorders, delayed returns, delivery lead time, and carbon emissions cost into the model. Second, a heuristic method with initialization and improvement stages is proposed to tackle the large-scale NP-hard problems, and the local search process is guided via simulated annealing. Third, the model and solution are applied to the reallife case of a toy manufacturer in China. The results show that: compared to RTM, CTM can effectively improve the utilisation of transport vehicles and reduce the number of transport vehicles used in the network; the network operating cost of CTM is significantly less than that of RTM; no matter how the carbon tax on emission will be, the average carbon emission will be reduced under CTM as compared to RTM; the heuristic algorithm we design can efficiently solve large-scale CLSC design problems under both transport mechanisms.

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Green reverse supply chain network design considering location-routing-inventory decisions with simultaneous pickup and delivery

Cited by 16 publications

References 52 publications

Logistics Center Location-Inventory-Routing Problem Optimization: A Systematic Review Using PRISMA Method

Logistics Center Location-Inventory-Routing Problem Optimization: A Systematic Review Using PRISMA Method

A Study on the Visual Communication and Development of Green Design: A Cross-Database Prediction Analysis from 1972 to 2022

A multi-period closed-loop supply chain network design with circular route planning

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