Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING)   APRIL 2012 , Volume 46 , Number 1; Page(s) 15 To 26.
 
Paper: 

GENETIC ALGORITHM AND HYBRID METHOD TO MINIMIZE TOTAL DISTRIBUTION COST IN MULTI- LEVEL SUPPLY CHAIN

 
 
Author(s):  TAROKH M.J.*, NASERI A.
 
* DEPT. OF INDUSTRIAL ENGINEERING, K.N. TOOSI UNIVERSITY, TEHRAN, I.R. IRAN
 
Abstract: 

In this paper, the distribution network for multi-level supply chain has been studied. Products produced in factories are sent to customers through warehouses and distribution centers based on specific demands. Warehouses as holding inventory facilities are located close to factories and the distribution centers are placed in the most accessible locations for services near customers. Each item is sent from factories to customers through warehouses and distribution centers. Therefore, a model was designed to minimize the total distribution costs in a multi-level supply chain network. The main goal of this paper is offering a model to determine a replenishment program, to determine the values of inventory distributed to reduce the cost of lost sales, and also to determine delivery routes to reduce transport costs and determine the values stored to reduce the holding costs. A mixed integer programming for the suggested model is formulated. Therefore, the objective function of this model is to minimize the total costs of distribution network including holding cost, lost sale cost, replenishment cost and transportation costs. The model shows that the problem is Np-Hard and thus cannot be solved by LINGO for large size problems. Hence, two Meta-heuristics methods for solving the model have been used. In the first part, we have used the genetic algorithm that according to the specification of the suggested model was programmed to earn high quality solution in short run time. Secondly we have used a hybrid algorithm that simultaneously takes advantage of genetic and simulation annealing algorithms. For the hybrid algorithm, the initial solution was earned through the implementation of genetic algorithms and then this solution was improved using. simulated annealing algorithm. Computational results indicate the superiority of the hybrid algorithm for small and medium size problems but for larger problems it is recommended to use the genetic algorithm alone.

 
Keyword(s): HYBRID GENETIC-SIMULATED ANNEALING ALGORITHM, LOST SALE COST, INVENTORY - DISTRIBUTION MODELS, FACILITY CAPACITY, SUPPLY CHAIN MANAGEMENT
 
 
References: 
  • Not Registered.
  •  
  •  
 
Citations: 
  • Not Registered.
 
+ Click to Cite.
APA: Copy

TAROKH, M., & NASERI, A. (2012). GENETIC ALGORITHM AND HYBRID METHOD TO MINIMIZE TOTAL DISTRIBUTION COST IN MULTI- LEVEL SUPPLY CHAIN. JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING), 46(1), 15-26. https://www.sid.ir/en/journal/ViewPaper.aspx?id=509580



Vancouver: Copy

TAROKH M.J., NASERI A.. GENETIC ALGORITHM AND HYBRID METHOD TO MINIMIZE TOTAL DISTRIBUTION COST IN MULTI- LEVEL SUPPLY CHAIN. JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING). 2012 [cited 2021July31];46(1):15-26. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=509580



IEEE: Copy

TAROKH, M., NASERI, A., 2012. GENETIC ALGORITHM AND HYBRID METHOD TO MINIMIZE TOTAL DISTRIBUTION COST IN MULTI- LEVEL SUPPLY CHAIN. JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING), [online] 46(1), pp.15-26. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=509580.



 
 
Yearly Visit 36
 
 
Latest on Blog
Enter SID Blog