Paper Information

Journal:   JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS)   FALL 2016-WINTER 2017 , Volume 4 , Number 8 #E0044; Page(s) 159 To 172.
 
Paper: 

A NOVEL HYBRID GENETIC ALGORITHM FOR SOLVING MULTI OBJECTIVE MODEL OF TRANSFER POINT LOCATION PROBLEM CONSIDERING ALLOCATION AND DIFFERENT TRANSPORTATION VEHICLES: A CASE STUDY APPROACH

 
 
Author(s):  BADIEI A., SHAHANAGHI K.*, KALANTARI H.
 
* DEPARTMENT OF INDUSTRIAL ENGINEERING, IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY, TEHRAN, IRAN
 
Abstract: 

The Transfer Point Location Problem is about locating optimum transfer point between the facility and a set of demand points, such that the maximum distance or the sum of the distances between the customers and the facility through the transfer point is minimized in certain environment. Thus, in this thesis the goal is to construct the modeling of the aforesaid problem, in case of multi objectives with respect to locating the single or multiple transfer point (s), in the certain environment and network topology when one or more facility exist. The objectives are about minimizing total cost of transfer points set up and transportation, minimizing total time of transfer and maximizing demand covering. Also, due to high computational complexity of problem for acquiring a solution near to optimum in limited time, one type of proposed hybrid genetic algorithm is used. At last, the validation and also the application of the developed model in certain environment are shown by a case study of ground wheat distribution system in Andimeshk of Khozestan.

 
Keyword(s): GOAL PROGRAMMING, HYBRID GENETIC ALGORITHM, MULTIPLE LOCATION OF TRANSFER, POINTS, MULTI-OBJECTIVE FACILITY LOCATION, PROBLEM
 
References: 
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