scholarly journals Warehouse Location Decision Factors in Humanitarian Relief Logistics

2013 ◽  
Vol 29 (1) ◽  
pp. 103-120 ◽  
Author(s):  
Sae-yeon Roh ◽  
Hyun-mi Jang ◽  
Chul-hwan Han
Keyword(s):  
Location Decision ◽  
Humanitarian Relief ◽  
Decision Factors ◽  
Warehouse Location

scholarly journals A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Junkang He ◽  
Chenpeng Feng ◽  
Dan Hu ◽  
Liang Liang
Keyword(s):  
Disaster Response ◽  
Decision Model ◽  
Complex Problem ◽  
Decision Makers ◽  
Location Decision ◽  
Preference Information ◽  
Inaccurate Information ◽  
Country Level ◽  
Warehouse Location ◽  
Method Evidence

China is one of the disaster-prone countries in the world. Constructing a rapid and effective relief logistic system is important for disaster-responding at country level. Strategic prepositioning of emergency items, especially the decision of appropriate emergency warehouses location, has significant impacts on rapid disaster response to ensure sufficient relief supplies. The emergency warehouse location decision is a complex problem, where a wide variety of criteria need to be considered and the preference information of decision makers (DMs) may be imprecise or even absent. In this paper, we identify key effectiveness-oriented criteria used to evaluate the alternative emergency warehouse locations and make an attempt to propose a new multicriteria ranking method to solve the problem of inaccurate or uncertain weight information based on stochastic pairwise dominant relations and the pruning procedure of ELECTRE-II method. The proposed method extends the conventional ELECTRE-II method by incorporating inaccurate information and broadens its application to emergency warehouse location field. The feasibility and applicability of the proposed method are illustrated with a simulated example.

scholarly journals MULTIATTRIBUTE WAREHOUSE LOCATION SELECTION IN HUMANITARIAN LOGISTICS USING HESITANT FUZZY AHP

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Cengiz Kahraman
Keyword(s):  
Fuzzy Sets ◽  
Fuzzy Ahp ◽  
Humanitarian Logistics ◽  
Decision Makers ◽  
Selection Problem ◽  
Technical Equipment ◽  
Humanitarian Relief ◽  
Location Selection ◽  
Warehouse Location ◽  
Relief Operations

Deploying warehouses at strategic locations becomes an important issue for humanitarian relief organizations in order to improve their relief aid capability and rescue plan. The delivery of sufficient technical equipment and provision of shelter and reinforcement to victims is a significant event during relief operations. Warehouse location selection in humanitarian logistics (HL) is a challenging process because choosing a non-optimal location may cause additional problems during rescue activities. The conventional decision making tools used for a warehouse location selection problem tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. In many situations, the values of the qualitative attributes are often incompletely determined by the decision-makers. The fuzzy set theory can capture this type of uncertainty. In this paper, a recent extension of ordinary fuzzy sets, namely hesitant fuzzy sets, is used for considering the decision makers hesitancy in the evaluation. To solve the HL warehouse location selection problem, we propose a new hesitant fuzzy Analytic Hierarchy Process (AHP) method. We also present a HL warehouse location selection case study for a Turkish humanitarian relief organization by using hesitant fuzzy preference information.

scholarly journals Equilibrium and Optimal Location of Warehouses in Urban Areas: A Theoretical Analysis with Implications for Urban Logistics

2019 ◽  
Vol 2673 (5) ◽  
pp. 262-271 ◽  
Author(s):  
François Combes
Keyword(s):  
Land Use Planning ◽  
Urban Areas ◽  
Economies Of Scale ◽  
Location Decision ◽  
Transport Costs ◽  
City Center ◽  
Warehouse Location ◽  
Land Rents ◽  
Operational Constraints ◽  
The City

This paper presents a structural microeconomic model of the choice of warehouse location in urban logistics. The model is theoretical and analytical. It brings the focus on operational constraints, their diversity, and their influence on costs. The location decision is modeled as a trade-off between land rents (making it costly to locate close to the center of the urban area) and transport costs (which increase non-linearly when the warehouse moves away from the city center). The influence of various parameters on the optimal warehouse location is analyzed. The following conclusions are drawn. First, increased demand contributes to the explanation of logistic sprawl: when the density of operations (pick-ups and deliveries) increases in a given area, transport is more efficient, making it less necessary for warehouses to be close to the city center. Second, urban logistics is a heterogenous sector and, depending on the operational constraints, will not react homogenously to changes in economic parameters or the implementation of public policies. Third, economies of scale are identified: some implications are discussed. Fourth, the paper briefly discusses how land-use planning regarding, in particular, warehouses, can help internalize some of the externalities of urban logistics.

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