|Table of Contents|

[1] Sun Hao, Da Qingli,. Facility location model for a remanufacturing logistics network [J]. Journal of Southeast University (English Edition), 2008, 24 (1): 99-103. [doi:10.3969/j.issn.1003-7985.2008.01.022]
Copy

Facility location model for a remanufacturing logistics network()
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
24
Issue:
2008 1
Page:
99-103
Research Field:
Economy and Management
Publishing date:
2008-03-30

Info

Title:
Facility location model for a remanufacturing logistics network
Author(s):
Sun Hao Da Qingli
School of Economics and Management, Southeast University, Nanjing 210096, China
Keywords:
reverse logistics remanufacturing logistics network facility location
PACS:
F253.9
DOI:
10.3969/j.issn.1003-7985.2008.01.022
Abstract:
First a remanufacturing logistics network is con-structed, in which the structure of both the forward logistics and the reverse logistics are of two levels and all the logistics facilities are capacitated.Both the remanufacturing products and the new products can be used to meet the demands of customers.Moreover, it is assumed that homogeneous facilities can be designed together into integrated ones, based on which a mixed integer nonlinear programming(MINLP)facility location model of the remanufacturing logistics network with six types of facilities to be sited is built.Then an algorithm based on enumeration for the model is given.The feasible combinations of binary variables are searched by enumeration, and the remaining sub-problems are solved by the LP solver. Finally, the validities of the model and the algorithm are illustrated by means of an example.The result of the sensitivity analysis of parameters indicates that the integration of homogeneous facilities may influence the optimal solution of the problem to a certain degree.

References:

[1] Fleischmann Moritz, Bloemhof-Ruwaard Jacqueline M, Dekker Rommert, et al.Quantitative models for reverse logistics:a review [J].European Journal of Operational Research, 1997, 103(1):1-17.
[2] Thierry M, Salomon M, van Nunen J, et al.Strategic issues in product recovery management [J].California Management Review, 1995, 37(2):114-135.
[3] Thierry M.An analysis of the impact of product recovery management on manufacturing companies [D].The Netherlands:Erasmus University Rotterdam, 1997.
[4] Krikke H R, Kooi E J, Schurr P C.Network design in reverse logistics:a quantitative model [C]//Lecture Notes in Economic and Mathematical Systems.Berlin:Springer-Verlag, 1999:45-62.
[5] Jayaraman V, Guide V D R Jr, Srivastava R A.A closed-loop logistics model for remanufacturing [J].Journal of the Operational Research Society, 1999, 50(5):497-508.
[6] Shih L H.Reverse logistics system planning for recycling electrical appliances and computers in Taiwan, China [J].Resources, Conservation and Recycling, 2001, 32(1):55-72.
[7] Min Hokey, Ko Hyun Jeung, Ko Chang Seong.A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns [J].Omega, 2006, 34(1):56-69.
[8] Lu Zhiqiang, Bostel Nathalie.A facility location model for logistics systems including reverse flows:the case of remanufacturing activities [J].Computers and Operations Research, 2007, 34(2):299-323.

Memo

Memo:
Biographies: Sun Hao(1981—), male, graduate;Da Qingli(corresponding author), male, professor, dqlseunj@126.com.
Foundation item: The National Natural Science Foundation of China(No.70472033).
Citation: Sun Hao, Da Qingli.Facility location model for a remanufacturing logistics network[J].Journal of Southeast University(English Edition), 2008, 24(1):99-103.
Last Update: 2008-03-20