GREEDYALGORITHM FOR INVENTORY ROUTING PROBLEM IN A SUPPLY CHAIN-A Review

Thinakaran, N.; Jayaprakash, J.; Elanchezhian, C.

doi:10.1016/j.matpr.2019.05.195

Cited by 4 publications

(5 citation statements)

References 23 publications

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“…Similarly, Refs. [18][19][20][21][22][23][24] are reviews of IRP models and classification of solutions; Refs. [21,22] both proposed the concept of sustainable logistics management.…”

Section: Previous Review Papersmentioning

confidence: 99%

“…Classified according to time horizon and structure. 1983-2013 41 [24] Summarized the comparison of three algorithms for solving a certain IRP. 1997-2014 26 [25] Reviewed the IRP for determining the demand rate of single-depot multi-retailer.…”

Section: Previous Review Papersmentioning

confidence: 99%

“…A total of 85 papers are classified as MDMRP, which is the largest number in this review. This is followed by MPMPP (51), MESLP (46), MPSPP (24), SPSPP ( 8), MEMLP (6), SESLP (4), SDMRP (4), and SPMPP (3). Table 6 shows the overlapping number of MDMRP, MPMPP, and MESLP problems.…”

Section: Descriptive Analysismentioning

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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“…Similarly, Refs. [18][19][20][21][22][23][24] are reviews of IRP models and classification of solutions; Refs. [21,22] both proposed the concept of sustainable logistics management.…”

Section: Previous Review Papersmentioning

confidence: 99%

Section: Previous Review Papersmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2022

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“…The advantage of this application is that the most time-consuming task to optimize is the search and location of points, then the application very quickly designs its own routes, which can operate the selected network. Essentially, this application works on the principle of the Greedy algorithm, which is described, for instance, in [39]. For route A, the application proposed the order of the points which is shown in the following Figure 4.…”

Section: Optimization Of Initial Routes Using the Routin Applicationmentioning

confidence: 99%

“…For route A, the application proposed the order of the points which is shown in the following Figure 4. It is now necessary to compare the route thus obtained with the initial route and to determine the order of points as shown in a previous study [39]. From the initial matrix, it is then necessary to find the length and operating time of the selected route [40].…”

Section: Optimization Of Initial Routes Using the Routin Applicationmentioning

confidence: 99%

Optimization of the Pick-Up and Delivery Technology in a Selected Company: A Case Study

et al. 2022

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This article deals with pick-up and delivery activities in a selected company that focuses on the distribution of products in the gastronomic sector of the market and suggests how to make the present approach more efficient. The introductory part of the article clarifies the meanings of basic concepts related to the issue of optimizing the logistics processes in the company. The crucial goal is to analyze the existing pick-up and delivery technology and then, in the application part of the article, to propose adequate measures in the context of streamlining these activities with their technical and economic evaluation. An analysis of current delivery routes, which are used for the distribution of gastronomic products, is first performed. Thereafter, the routes are optimized with the aim of minimizing the total distance traveled by using the Operations Research methods, namely: the Hungarian method, Vogel approximation method, nearest neighbor method and the Routin route planner which is based on a principle of the Greedy algorithm. At the end of the article, a technical and economical evaluation of the findings is discussed, wherein the individual results of optimization through selected methods are first compared and then, new optimized routes are selected.

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Artificial Intelligence in Logistics and Supply Chain

Jayaprakash

2022

Artificial Intelligent Techniques for Wireless Communication and Networking

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GREEDYALGORITHM FOR INVENTORY ROUTING PROBLEM IN A SUPPLY CHAIN-A Review

Cited by 4 publications

References 23 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

Optimization of the Pick-Up and Delivery Technology in a Selected Company: A Case Study

Artificial Intelligence in Logistics and Supply Chain

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