Warehouse Location Problem

Bagherpoor, Zeinab; Parhizi, Shaghayegh; Hoseininia, Mahtab; Heidari, Nooshin; Yaghin, Reza Ghasemi

doi:10.1007/978-3-7908-2151-2_13

Cited by 3 publications

(1 citation statement)

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“…Warehouse problems which is known as determining and minimizing number of warehouses which includes a constraints of capacity, cost matrix for transportation. Warehouse location identification problem is solved using a cost matrix by decomposing problem into various linear sub-problems [2] . A variation of facility location problem in which multiple facilities in the same site are allowed is discussed.…”

Section: A Review On Multiple Criteria Undesirable Facility Locationmentioning

confidence: 99%

Facility Recommendation System using Domination Set Theory in Graph

B.A¹,

Vidhya²

2019

IJITEE

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Facility location problem has gained importance with the increased applications involving infrastructure development which involves placing facilities in right positions. With the help of GPS based services the analysis of locations and traffic which is vital input for the problem of facility location. The problem of facility location recommender is a multi-objective problem of reducing the transportation cost and increasing the coverage in the geographical region. Conditions to place a facility for a better coverage and reduced cost will differ from facility to facility. For the purpose algorithms such as route finder, Fastest clustering algorithm are used to cluster geographical region for improved infrastructure and better Quality of Service. In this paper analyzes facility of locating schools, hospital and police station in a bounded geographical region. The algorithm uses domination set and k-means clustering algorithm to choose the facility and its corresponding cluster in the region. Clustered are validated using index measures including DBI and Dunn Index values. An experimental analysis is conducted for Coimbatore city and results are evaluated against real facilities.

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Section: A Review On Multiple Criteria Undesirable Facility Locationmentioning

confidence: 99%