An Optimal Jatropha Seed Warehouse Location Decision Using Myopic and Exchange Heuristics of P Median

Author(s):  
S. P. Srinivasan ◽  
P. Malliga
2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Junkang He ◽  
Chenpeng Feng ◽  
Dan Hu ◽  
Liang Liang

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.


Author(s):  
François Combes

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.


2020 ◽  
Vol 24 (1) ◽  
pp. 145-156
Author(s):  
Han-Mook Kim ◽  
Yuanling Jin ◽  
Young-Ryeol Park

2004 ◽  
Vol 6 (2) ◽  
pp. 171 ◽  
Author(s):  
Nurul Indarti

This research aims to examine the relationship between business location decision and business success. The case is Internet café business in Indonesia. This research is addressed to answer these main questions: (1) what factors do underlie location decision for an Internet café business?; and (2) does location decision determine success of Internet café business? A field research is conducted to answer these questions.Factor analysis applied to 17 location factors reveals five underlying dimensions of business location decision. They are centrality, business environment, business venue, cost, and labor. Based on responses from 93 Internet cafés in three locations (i.e. Yogyakarta, Surabaya, and Lombok), the author finds that favorable location of business is positively related to business success. More specifically, a regression analysis reveals that availability of utilities, proximity to schools/universities and security affect business success in a positive direction, while proximity to highways, being in commercial center affect in a negative direction. The independent variables explain 23 percent of total variance.


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