Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » International Journal of Industrial Engineering Computations » A hybrid model for multi-objective capacitated facility location network design problem

Journals

  • IJIEC (777)
  • MSL (2643)
  • DSL (690)
  • CCL (528)
  • USCM (1099)
  • ESM (428)
  • AC (562)
  • JPM (293)
  • IJDS (952)
  • JFS (101)
  • HE (37)
  • SCI (36)

IJIEC Volumes

    • Volume 1 (17)
      • Issue 1 (9)
      • Issue 2 (8)
    • Volume 2 (68)
      • Issue 1 (12)
      • Issue 2 (20)
      • Issue 3 (20)
      • Issue 4 (16)
    • Volume 3 (76)
      • Issue 1 (9)
      • Issue 2 (15)
      • Issue 3 (20)
      • Issue 4 (12)
      • Issue 5 (20)
    • Volume 4 (50)
      • Issue 1 (14)
      • Issue 2 (10)
      • Issue 3 (12)
      • Issue 4 (14)
    • Volume 5 (47)
      • Issue 1 (13)
      • Issue 2 (12)
      • Issue 3 (12)
      • Issue 4 (10)
    • Volume 6 (39)
      • Issue 1 (7)
      • Issue 2 (12)
      • Issue 3 (10)
      • Issue 4 (10)
    • Volume 7 (47)
      • Issue 1 (10)
      • Issue 2 (14)
      • Issue 3 (10)
      • Issue 4 (13)
    • Volume 8 (30)
      • Issue 1 (9)
      • Issue 2 (7)
      • Issue 3 (8)
      • Issue 4 (6)
    • Volume 9 (32)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (7)
      • Issue 4 (10)
    • Volume 10 (34)
      • Issue 1 (8)
      • Issue 2 (10)
      • Issue 3 (8)
      • Issue 4 (8)
    • Volume 11 (36)
      • Issue 1 (9)
      • Issue 2 (8)
      • Issue 3 (9)
      • Issue 4 (10)
    • Volume 12 (29)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (8)
      • Issue 4 (6)
    • Volume 13 (41)
      • Issue 1 (10)
      • Issue 2 (8)
      • Issue 3 (10)
      • Issue 4 (13)
    • Volume 14 (50)
      • Issue 1 (11)
      • Issue 2 (15)
      • Issue 3 (9)
      • Issue 4 (15)
    • Volume 15 (55)
      • Issue 1 (19)
      • Issue 2 (15)
      • Issue 3 (12)
      • Issue 4 (9)
    • Volume 16 (75)
      • Issue 1 (12)
      • Issue 2 (15)
      • Issue 3 (19)
      • Issue 4 (29)
    • Volume 17 (51)
      • Issue 1 (21)
      • Issue 2 (30)

Keywords

Supply chain management(168)
Jordan(165)
Vietnam(151)
Customer satisfaction(120)
Performance(115)
Supply chain(112)
Service quality(98)
Competitive advantage(97)
Tehran Stock Exchange(94)
SMEs(89)
Sustainability(87)
Artificial intelligence(87)
optimization(87)
Financial performance(84)
Trust(83)
TOPSIS(83)
Job satisfaction(81)
Knowledge Management(79)
Factor analysis(78)
Social media(78)


» Show all keywords

Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(66)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(37)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Hassan Ghodrati(31)
Basrowi Basrowi(31)
Sautma Ronni Basana(31)
Mohammad Khodaei Valahzaghard(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Haitham M. Alzoubi(28)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


» Show all authors

Countries

Iran(2198)
Indonesia(1311)
Jordan(815)
India(798)
Vietnam(510)
Saudi Arabia(478)
Malaysia(447)
China(231)
United Arab Emirates(226)
Thailand(160)
United States(115)
Turkey(114)
Ukraine(110)
Egypt(106)
Peru(94)
Canada(93)
Morocco(87)
Pakistan(85)
United Kingdom(80)
Nigeria(78)


» Show all countries

International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 2 Issue 3 pp. 509-524 , 2011

A hybrid model for multi-objective capacitated facility location network design problem Pages 509-524 Right click to download the paper Download PDF

Authors: Marzieh Mortezaei, Mohammad Saeed JabalAmeli

DOI: 10.5267/j.ijiec.2011.04.001

Keywords: Facility Location, Hybrid algorithm, Network design, Simulated annealing algorithm

Abstract: One of the primary concerns on many traditional capacitated facility location/network problems is to consider transportation and setup facilities in one single objective function. This simple assumption may lead to misleading solutions since the cost of transportation is normally considered for a short period time and, obviously, the higher cost of setting up the facilities may reduce the importance of the transportation cost/network. In this paper, we introduce capacitated facility location/network design problem (CFLNDP) with two separate objective functions in forms of multi-objective with limited capacity. The proposed model is solved using a new hybrid algorithm where there are two stages. In the first stage, locations of facilities and design of fundamental network are determined and in the second stage demands are allocated to the facilities. The resulted multi-objective problem is solved using Lexicography method for a well-known example from the literature with 21 node instances. We study the behaviour of the resulted problem under different scenarios in order to gain insight into the behaviour of the model in response to changes in key problem parameters.

How to cite this paper
Mortezaei, M & JabalAmeli, M. (2011). A hybrid model for multi-objective capacitated facility location network design problem.International Journal of Industrial Engineering Computations , 2(3), 509-524.

Refrences
Balakrishnan, A., Magnani, T.L., & Wong, R.T. (1989). A dual-ascent procedure for large-scale uncapacitated network design. Operation Research, 37(5), 716-740.

Bazaraa, M. S., Jarvis, J. J., & Sherali, H. D. (1990). Linear programming and network flows. New York: Springer.

Berman, O., Ingco, D.I., Odoni, A.R., (1992). Improving the location of minisum facilities trough network modification. Annals of Operations Research 40(1), 1-16.

Bhadury, J., Gewali, L.P., Chandrasekaran, R., & Badr, M., (2003). Network design subject to facility location. 15th Canadian Conference on Computational Geometry.

Campbell, J.F., (1994). A survey of network hub location. Studies in Locational Analysis 6, 31-49.

Daskin, M.S., & Jones, P.C. (1993). A new approach to solving applied location/allocation Problems. Computer-aided Civil and Infrastructure Engineering, 8(6), 409-421.

Daskin, M.S., Snyder, L.V., & Berger, R.Y.(2005). Facility location in supply chain design. Logistics Systems: Design and Optimization. 39-65.

Drezner, Z., Wesolowsky, G. O. (1998). Design-location problems. INFORMS National Meeting, seattle.

Drezner, Z., & Wesolowsky, G. O. (2003). Network design: selection and design of links and facility location. Transportation Research Part A. 37(3), 241–256.

Friesz, T.L., Shah, S., & Bernstein, D. (1998). Disequilibrium network design: a new paradigm for transportation planning and control. In: Network Infrastructure and the Urban Environment: Advances in Spatial Systems Modeling. Springer, Berlin.

Klincewicz, J.G. (1998). Hub location in backbone/tributary network design: a review. Location Science, 6(1-4), 307-335.

Kirkpatrick S, Gelatt jr. CD, & Vecchi MP. (1983). Optimization by simulated annealing. Science. 220, 671-680.

Laporte, G., (1998). Location-routing problems. In Golden, B.L., Assad, A.A.(Eds), Vehicle Routing: Methods and studies. North-Holland, Amsterdam, 163-198.

Magnanti, T.L. & Wong, R.T. (1984). Network design and transportation planning: models and algorithms. Transportation Science, 18(1), 1-55.

Melkote, S., (1996). Integrated models of facility location and network design. PhD Dissertation. Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL.

Melkote, S., & Daskin, M. S. (2001). An integrated model of facility location and transportation network design. Transportation Research Part A: Policy and Practice, 35(6), 515–538.

Melkote, S., & Daskin, M. S. (2001). Capacitated facility location-network design problems. European Journal of Operational Research, 129(3), 481-495.

Metropolis, N., Rosenbluth, A.W, Rosenbluth, M.N., Teller, A.H, & Teller, E. (1953). Equations of state calculations by fast computing machines. Journal of chemical- physics, 21(6). 1087-1092.

Mitchel, D.H., & Smith, J.M. (2001). Topological network design of pedestrian networks. Transportation Research Part B: Methodological, 35(2), 107–135.

Peeters, D., & Thomas,I. (1995). The effect of spatial structure on p-median results. Transportation Science, 29(4), 366-373.

Pardalos, P.M., & Du, D. (1998). Network design: Connectivity and facilities location. In: DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 40. American Mathematical Society.

Ravi, R., & Sinha, A. (2006). Approximation algorithms for problems combining facility location and network design. Operations Research. 54. 73–81

Solanki, R.S., Gorti, J.K., & Southworth, F. (1998). Using decomposition in large-scale highway network design with a quasi-optimization heuristic. Transportation Research Part B: Methodological ,32(2), 127–140.

Yang, H. (1998). Models and algorithms for road network design: a review and some new developments. Transport Reviews 18(3), 257–278.
  • 34
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: International Journal of Industrial Engineering Computations | Year: 2011 | Volume: 2 | Issue: 3 | Views: 3581 | Reviews: 0

Related Articles:
  • A multi-objective possibilistic programming approach for locating distribut ...
  • A multi-objective robust optimization model for the capacitated P-hub locat ...
  • A GRASP model in network design for two-stage supply chain
  • The center location problem with equal weights in the presence of a probabi ...
  • A multi-objective imperialist competitive algorithm for a capacitated hub c ...

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2026 GrowingScience.Com