Dynamic Location of Distribution Centres, a Real Case Study

Segura, Esther; Benítez, Rafael; Lozano, Angélica

doi:10.1016/j.trpro.2014.10.010

Cited by 10 publications

(14 citation statements)

References 19 publications

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“…The related studies in warehouse location selection literature can be classified as distribution, production and contract type warehouses [1]. Distribution type warehouses; [4], [8], [9], [12], [13], [16], [17], [22], [26], [33]- [35], [39], [41], [42], [44], [46]- [48], [52] are to store various products from different suppliers, and for different customers. Production type warehouses; [5], [7], [20], [23], [27], [29], [31], [36]- [38], [50], [53] are for products with different characteristics in a production facility.…”

Section: Discussionmentioning

confidence: 99%

“…The methods used in the selection of warehouse location such as multi criteria decision making techniques [5], [10], [15], [18], [21]- [23], [26], [29], [31], [34], [37], [38], [40], [43], fuzzy logic [17], [27], [44], [46], [47], [49], [50], statistical analysis [12], [16], [30], [33], [35], [48], [49], non/linear and mathematical programming [4], [9], [14], [20], [24], [28], [32], [36], [39], [51], heuristic and meta heuristic methods [6], [7], [11], [19], [25], [45] and other decision support systems [8], [13], [23], [41], [42]…”

Section: Discussionmentioning

confidence: 99%

“…ECPD International Conference on Material Handling and Warehousing [8] International Journal of Production Economics [9] IMA Journal of Management Mathematics [10] European Journal of Operational Research [11] European Journal of Operational Research [12] Transportation Research Part E [13] Tunneling and Underground Space Technology [14] European Journal of Operational Research [15] Supply Chain Management: An International Journal [16] International Journal of Business and Management [17] Expert Systems with Applications [18] Journal of Environmental Management [19] Computers & Industrial Engineering [20] Expert Systems with Applications [21] Waste Management [22] Expert Systems with Applications [23] Expert Systems with Applications [24] Doctoral Thesis [25] XI. ISPR [26] Procedia -Social and Behavioral Sciences [27] Interdisciplinary Journal of Contemporary Research in Business [28] Master Thesis [29] Journal Of Industrial Engineering [30] European Planning Studies [31] Computers and Electronics in Agriculture [32] Computers &Operations Research [33] Transportation Research Procedia [34] International Journal of Management Science and Engineering Management [35] Procedia -Social and Behavioral Sciences [36] Computers &Operations Research [37] Advances in Industrial Engineering and Management [38] Decision Science Letters [39] Journal of Social Sciences [40] JEBPIR [41] IFAC-Papers On Line [42] Research in Transportation Economics [43]…”

Section: Studymentioning

confidence: 99%

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Literature Review on Success Factors and Methods Used in Warehouse Location Selection

Gergin¹,

Peker²

2019

Pamukkale J Eng Sci

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ÖzThe fact that the production and consumption amounts are different from each other gives a dynamic feature to the concept of storage. In addition, an effective storage activity hinges upon the selection of the right warehouse location that takes into account capital and labor investments; minimizes the transportation cost and time. The aim of this study is to investigate the preliminary researches in the selection of the warehouse location selection and to present information on which success factors and methods are preferred. Within this scope, many academic studies have been examined by filtering various databases. According to the results of the study, the most used methods in warehouse location selection are multi-criteria decision making methods such as AHP, ANP and TOPSIS; and the most commonly used success factor is determined as the cost-based factors. Dünya üzerinde üretim ve tüketim miktarlarının birbirlerinden farklı olması depolama kavramına dinamik bir özellik kazandırmaktadır.Ayrıca etkin bir depolama faaliyeti; sermaye ve işçilik yatırımlarını dikkate alacak, taşıma maliyet ve zamanını minimize edecek doğru depo yerinin seçilmesinden geçmektedir. Bu doğrultuda çalışmanın amacı, depo yeri seçiminde yapılmış olan öncül araştırmaların incelenmesi ve depo yer seçiminde hangi başarı faktörleri ve yöntemlerin tercih edildiğine dair bir bilgi sunmaktır. Bu amaç kapsamında çok sayıda akademik çalışma çeşitli veri tabanları süzülerek incelenmiştir. Çalışmanın sonuçlarına göre depo yer seçiminde en fazla kullanılan yöntemler AHP, ANP ve TOPSIS'in başını çektiği Çok Kriterli Karar Verme yöntemleri, en çok kullanılan başarı faktörü ise Maliyet içerikli faktörler olarak belirlenmiştir.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Studymentioning

confidence: 99%

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Literature Review on Success Factors and Methods Used in Warehouse Location Selection

Gergin¹,

Peker²

2019

Pamukkale J Eng Sci

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“…The CLITraP-HTF solves tactical decisions [15]. The CLITraP-HTF designs SCNs for companies with certain characteristics.…”

Section: Strategic Decisions Assumptionsmentioning

confidence: 99%

“…Second, facilities can become DCs or cease to be DCs depending on their demand changes over time. These characteristics make location-allocation decisions tactical and not strategic, as they normally are [15,16]. Third, all facilities can be operated as DC, also tactical decisions.…”

Section: Strategic Decisions Assumptionsmentioning

confidence: 99%

Dimensionality-reduction Procedure for the Capacitated p-Median Transportation Inventory Problem

Benítez

2020

Mathematics

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The capacitated p-median transportation inventory problem with heterogeneous fleet (CLITraP-HTF) aims to determine an optimal solution to a transportation problem subject to location-allocation, inventory management and transportation decisions. The novelty of CLITraP-HTF is to design a supply chain that solves all these decisions at the same time. Optimizing the CLITraP-HTF is a challenge because of the high dimension of the decision variables that lead to a large and complex search space. The contribution of this paper is to develop a dimensionality-reduction procedure (DRP) to reduce the CLITraP-HTF complexity and help to solve it. The proposed DRP is a mathematical proof to demonstrate that the inventory management and transportation decisions can be solved before the optimization procedure, thus reducing the complexity of the CLITraP-HTF by greatly narrowing its number of decision variables such that the remaining problem to solve is the well-known capacitated p-median problem (CPMP). The conclusion is that the proposed DRP helps to solve the CLITraP-HTF because the CPMP can be and has been solved by applying different algorithms and heuristic methods.

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A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport

et al. 2021

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Dynamic Location of Distribution Centres, a Real Case Study

Cited by 10 publications

References 19 publications

Literature Review on Success Factors and Methods Used in Warehouse Location Selection

Literature Review on Success Factors and Methods Used in Warehouse Location Selection

Dimensionality-reduction Procedure for the Capacitated p-Median Transportation Inventory Problem

A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport

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