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Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method

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 co...

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Main Authors: Liu, Lihua, Lee, Lai Soon, Seow, Hsin Vonn, Chen, Chuei Yee
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2022
Online Access:http://psasir.upm.edu.my/id/eprint/102104/
https://www.mdpi.com/2071-1050/14/23/15853
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spelling my.upm.eprints.1021042023-06-16T04:06:33Z http://psasir.upm.edu.my/id/eprint/102104/ Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method Liu, Lihua Lee, Lai Soon Seow, Hsin Vonn Chen, Chuei Yee 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. Multidisciplinary Digital Publishing Institute 2022-11-28 Article PeerReviewed Liu, Lihua and Lee, Lai Soon and Seow, Hsin Vonn and Chen, Chuei Yee (2022) Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method. Sustainability, 14 (23). art. no. 15853. pp. 1-39. ISSN 2071-1050 https://www.mdpi.com/2071-1050/14/23/15853 10.3390/su142315853
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description 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.
format Article
author Liu, Lihua
Lee, Lai Soon
Seow, Hsin Vonn
Chen, Chuei Yee
spellingShingle Liu, Lihua
Lee, Lai Soon
Seow, Hsin Vonn
Chen, Chuei Yee
Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method
author_facet Liu, Lihua
Lee, Lai Soon
Seow, Hsin Vonn
Chen, Chuei Yee
author_sort Liu, Lihua
title Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method
title_short Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method
title_full Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method
title_fullStr Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method
title_full_unstemmed Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method
title_sort logistics center location-inventory-routing problem optimization: a systematic review using prisma method
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/102104/
https://www.mdpi.com/2071-1050/14/23/15853
_version_ 1769844432768598016
score 13.211869

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