Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Cluster Computing
Published in: Cluster Computing 2/2019

10-03-2018

RETRACTED ARTICLE: A fuzzy multi-objective immune genetic algorithm for the strategic location planning problem

Authors: Xiao Zhao, Xuhui Xia, Lei Wang, Jianhua Cao

Published in: Cluster Computing | Special Issue 2/2019

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The distribution center (DC) location problem is one of the most important decisions for logistics systems. Owing to vague concept frequently represented in decision data, some new multiple criteria based decision-making model is proposed to solve the DC location problem with significant time-effectiveness under fuzzy environment. In the proposed model, we consider time penalty cost, operation cost, damage cost, infrastructure, market conditions, government policy, technical conditions and land resources from a comprehensive view. Meanwhile, trapezoidal fuzzy numbers are used to describe the delivery time window and the service level. Then, intuitionistic fuzzy sets and immune genetic algorithm are utilized to solve the model. Finally, a numerical example is presented to illustrate the effectiveness of the proposed approach.
previous article Research on abnormal data mining algorithm based on ICA
next article Improved eigensystem realization algorithm and its application on ocean platforms

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Döyen, A., Aras, N., Barbarosoğlu, G.: A two-echelon stochastic facility location model for humanitarian relief logistics. Optim. Lett. 6(6), 1123–1145 (2012)MathSciNetCrossRef
2.
Pishvaee, M.S., Farahani, R.Z., Dullaert, W.: A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Comput. Oper. Res. 37(6), 1100–1112 (2010)CrossRef
3.
Alp, O., Erkut, E., Drezne, Z.: An efficient genetic algorithm for the p-median problem. Ann. Oper. Res. 122(1–4), 21–42 (2003)MathSciNetCrossRef
4.
Kengpol, A.: Design of a decision support system to evaluate logistics distribution network in Greater Mekong Subregion Countries. Int. J. Prod. Econ. 115(2), 388–399 (2008)CrossRef
5.
Joshi, R., Banwet, D.K., Shankar, R.: A Delphi–AHP–TOPSIS based benchmarking framework for performance improvement of a cold chain. Expert Syst. Appl. 38(8), 10170–10182 (2011)CrossRef
6.
Kahraman, C., Cebeci, U., Ulukan, Z.: Multi-criteria supplier selection using fuzzy AHP. Logistics. Inform. Manag 16(6), 382–394 (1989)CrossRef
7.
Boran, F.E., Genç, S., Kurt, M., et al.: A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Syst. Appl. 36(8), 11363–11368 (2009)CrossRef
8.
Lin, L., Yuan, X.-H., Xia, Z.-Q.: Multicriteria fuzzy decision-making method based on intuitionistic fuzzy sets. Eur. J. Oper. Res. 73(1), 84–88 (2007)MathSciNetMATH
9.
Diabat, A., Kannan, D., Kaliyan, M., Svetinovic, D.: An optimization model for product returns using genetic algorithms and artificial immune system. Resour. Conserv. Recycl. 74, 156–169 (2013)CrossRef
10.
Xu, X.-d.: Research on immune genetic algorithm for solving the job-shop scheduling problem. Int. J. Adv. Manuf. Technol. 34(7–8), 783–789 (2007)CrossRef
11.
Garg, H.: A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems. Appl. Soft Comput. 38(6), 988–999 (2016)CrossRef
12.
Zandieh, M., Fatemi Ghomi, S.M.T., Moattar Husseini, S.M.: An immune algorithm approach to hybrid flow shops scheduling with sequence-dependent setup times. Appl. Math. Comput. 180(1), 111–127 (2006)MathSciNetMATH
13.
Awasthi, A., Chauhan, S.S.: A hybrid approach integrating Affinity Diagram, AHP and fuzzy TOPSIS for sustainable city logistics planning. Appl. Math. Model. 36(2), 573–584 (2012)CrossRef
14.
Bouhana, A., Chabchoub, H., Abed, M., et al.: A multi-criteria decision making approach based on fuzzy theory and fuzzy preference relations for urban distribution centers’ location selection under uncertain environments. In: International Conference on Advanced Logistics and Transport, pp 556–561. IEEE (2013)
15.
Chen, C.-T.: A fuzzy approach to select the location of the distribution center. Fuzzy Sets Syst. 118(1), 65–73 (2001)MathSciNetCrossRef
16.
Cengiz, K., Ruan, D., Doǧan, I.: Fuzzy group decision-making for facility location selection. Inf. Sci. 157(1), 135–153 (2003)MATH
17.
Cai, X., Chen, J., Xiao, Y., Xu, X., Yu, G.: Fresh-product supply chain management with logistics outsourcing. Omega 41(4), 752–765 (2013)CrossRef
18.
Xiaopeng, G., Xifei,  Y.: Low carbon distribution center’s location decision method under carbon emissions constraint condition. J. Appl. Sci. 13(11), 1988–1991 (2013)CrossRef
19.
Guo, H.Y., Li, Z.L.: Structural damage identification based on Bayesian theory and improved immune genetic algorithm. Expert Syst. Appl. 39(7), 6426–6434 (2012)CrossRef
20.
von der Gracht, H.A., Darkow, I.-L.: Scenarios for the logistics services industry: a Delphi-based analysis for 2025. Int. J. Prod. Econ. 127(1), 46–59 (2010)CrossRef
21.
Devi, K.: Extension of VIKOR method in intuitionistic fuzzy environment for robot selection. Expert Syst. Appl. 38(11), 14163–14168 (2011)
22.
Li, D.F.: Multiattribute decision making models and methods using intuitionistic fuzzy sets. J. Comput. Syst. Sci. 70(1), 73–85 (2005)MathSciNetCrossRef
23.
De Miguel, L., Bustince, H., Fernandez, J., et al.: Construction of admissible linear orders for interval-valued Atanassov intuitionistic fuzzy sets with an application to decision making. Inf. Fusion 27, 189–197 (2016)CrossRef
24.
de Keizer, M., Akkerman, R., Grunow, M.: Logistics network design for perishable products with heterogeneous quality decay. Eur. J. Oper. Res. 262(2), 535–549 (2017)MathSciNetCrossRef
25.
Qing-dao-er-ji, R., Wang, Y.: A new hybrid genetic algorithm for job shop scheduling problem. Comput. Oper. Res. 39(10), 2291–2299 (2012)MathSciNetCrossRef
26.
Xu, Z.-s., Chen, J.: Approach to group decision making based on interval-valued intuitionistic judgment matrices. Syst. Eng. Theory Pract. 27(4), 126–133 (2007)CrossRef
27.
Ye, J.: Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment. Eur. J. Oper. Res. 205(1), 202–204 (2010)CrossRef
28.
Yu, Y., Xiao, T.: Pricing and cold-chain service level decisions in a fresh agri-products supply chain with logistics outsourcing. Comput. Ind. Eng. 111, 56–66 (2017)CrossRef
29.
Turskis, Z., Zavadskas, E.K.: A new fuzzy additive ratio assessment method (ARAS-F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport 25(4), 423–432 (2010)CrossRef
Metadata
Title
RETRACTED ARTICLE: A fuzzy multi-objective immune genetic algorithm for the strategic location planning problem
Authors
Xiao Zhao
Xuhui Xia
Lei Wang
Jianhua Cao
Publication date
10-03-2018
Publisher
Springer New York
Published in
Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2212-1

Other articles of this Special Issue 2/2019

Cluster Computing 2/2019 Go to the issue

OriginalPaper

Measuring software stability based on complex networks in software

OriginalPaper

Adaptive iteration localization algorithm based on RSSI in wireless sensor networks

OriginalPaper

Optimized cognitive radio network (CRN) using genetic algorithm and artificial bee colony algorithm

OriginalPaper

Shape adaptive DCT compression for high quality surveillance using wireless sensor networks

OriginalPaper

Research on a large-scale community detection algorithm based on non-weighted graph

OriginalPaper

Algorithm research based on multi period fuzzy portfolio optimization model

Premium Partner

    Image Credits