Warehouse location determination for humanitarian relief distribution in Nepal

Maharjan, Rajali; Hanaoka, Shinya

doi:10.1016/j.trpro.2017.05.128

Cited by 44 publications

(22 citation statements)

References 16 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%

“…Warehouse site selection has become a matter of interest for many researchers from past to present [4]. The studies in the research between 1996-2019 have appeared in the Web of Science and Scopus databases.…”

Section: Data Collection Approachmentioning

confidence: 99%

“…Journal/Conferences/Thesis [4] Transportation Research Procedia [5] International Journal of Production Economics [6] Proceedings of the 29th Conference on Winter Simulation [7] XV. 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.…”

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: Data Collection Approachmentioning

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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“…ey considered uncertainty in demand and minimized the expected cost of satisfying demand based on different scenarios. Maharjan and Hanaoka [27] determined the optimal number and location of warehouses for relief distribution problem in Nepal by modeling it as a modified maximal covering location problem. Mohamadi and Yaghoubi [28] presented a bi-objective stochastic optimization model for the location of transfer points and medical supplies distribution centers, taking into consideration triage system and failure of distribution centers and routes, and utilizing backup distribution centers.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Objective Stochastic Model for an Earthquake Relief Network

Yenice

Samanlıoğlu

2020

Journal of Advanced Transportation

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Earthquake relief network involves storage and distribution of relief aid to people in need. In this paper, a new stochastic multi-objective mixed integer mathematical model is developed and implemented in Kadikoy municipality of Istanbul, Turkey in order to configure part of the earthquake relief network. The aim of the model is to help decision makers decide on the locations of storage areas for shelters pre-earthquake and distribution of shelters from these areas to temporary shelter areas post-earthquake while minimizing earthquake scenario-specific total expected distribution distance, total expected earthquake damage risk factor of storage areas and expected total penalty cost related to unsatisfied demand at temporary shelter areas, simultaneously. In the model, storage area capacity and coverage distance restrictions are taken into consideration. The data related to potential storage areas and shelter locations were obtained from Kadikoy municipality of Istanbul and Istanbul Metropolitan Municipality (IMM). The earthquake damage risk factors were determined based on possible earthquake scenarios given in Japan International Cooperation Agency’s (JICA) report. Four event scenarios with two different earthquake scenario likelihoods were considered and sample efficient solutions from the Pareto frontier were obtained implementing the normalized (scaled) weighted sum method.

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“…In the context of relief/humanitarian logistics, previous studies have proposed approaches to the selection of warehouse location for relief/humanitarian operations; for instance, studies by Turgut et al (2011), Roh et al (2013), Roh et al (2015), Caunhye et al (2016), and Maharjan and Hanaoka (2017). Turgut et al (2011) used fuzzy-AHP to select a disaster logistics center in Istanbul, with the criteria (cost, transportation, infrastructure, geographic location and suitability of climate) and 11 sub-criteria obtained from disaster practitioners.…”

Section: Introductionmentioning

confidence: 99%

A Model to Determine Relief Warehouse Location in East Jakarta using the Analytic Hierarchy Process

Hakim¹,

Kusumastuti²

2018

IJTech

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Relief logistics plays a critical role in the success of disaster relief operations. One way to improve the smoothness of such activities is the strategic placement of storage facilities to ensure that relief aid reaches disaster victims in a short space of time. This paper presents a decision-making model to determine the location of relief warehouses using the Analytic Hierarchy Process (AHP). We first identify a set of criteria to be considered in the model by reviewing the literature and conducting in-depth interviews (IDIs) with representatives from the Regional Agency for Disaster Management (BPBD) and The Indonesia Red Cross (PMI) in Jakarta. We then develop the AHP model with first-level criteria, namely costs, geographic location, infrastructure, proximity, and the macro-environment, and consider three alternative locations (Cipinang Besar Utara, Cipinang Besar Selatan, and Pondok Kelapa) for a relief warehouse to serve victims of floods in East Jakarta. The pairwise comparisons are conducted by five experts, and the results show that geographic location has the highest weight, while cost has the lowest, with Cipinang Besar Utara chosen as the preferred location.

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Warehouse location determination for humanitarian relief distribution in Nepal

Cited by 44 publications

References 16 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

A Multi-Objective Stochastic Model for an Earthquake Relief Network

A Model to Determine Relief Warehouse Location in East Jakarta using the Analytic Hierarchy Process

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