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M. El-Sayed, N. Afia, A. El-Kharbotly (2010)
A stochastic model for forward-reverse logistics network design under riskComput. Ind. Eng., 58
C. Carlsson, P. Korhonen (1986)
A parametric approach to fuzzy linear programmingFuzzy Sets and Systems, 20
L. Shih (1999)
CEMENT TRANSPORTATION PLANNING VIA FUZZY LINEAR PROGRAMMINGInternational Journal of Production Economics, 58
Manuela Ölmez, U. Lindemann (2014)
Managing Attribute Complexity for User-centered Decision Support Systems
J. Shim, Merrill Warkentin, J. Courtney, D. Power, R. Sharda, C. Carlsson (2002)
Past, present, and future of decision support technologyDecis. Support Syst., 33
B. Julien (1994)
An extension to possibilistic linear programmingFuzzy Sets and Systems, 64
Alp Ustundag, E. Cevikcan (2012)
Linear Programming for Distribution Network Design Under Fuzzy Environment
M. Inuiguchi, J. Ramík (2000)
Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problemFuzzy Sets Syst., 111
Mahdieh Allahviranloo, Shahriar Zargari (2008)
Investment optimization on port's development by fuzzy integer programmingEur. J. Oper. Res., 186
T. Vaart, D. Donk (2008)
A critical review of survey-based research in supply chain integrationInternational Journal of Production Economics, 111
J. Buckley (1989)
Solving possibilistic linear programmingFuzzy Sets and Systems, 31
R. Farahani, S. Rezapour, T. Drezner, Samira Fallah (2014)
Competitive supply chain network design: An overview of classifications, models, solution techniques and applicationsOmega-international Journal of Management Science, 45
Tien-Fu Liang (2008)
Fuzzy multi-objective production/distribution planning decisions with multi-product and multi-time period in a supply chainComput. Ind. Eng., 55
P. Subsorn, Jitian Xiao, K. Singh (2008)
A web-based application of group decision making in a fuzzy environment2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 1
I. Lehmann, R. Weber, H. Zimmermann (1992)
Fuzzy set theoryOperations-Research-Spektrum, 14
S. Chanas (1983)
The use of parametric programming in fuzzy linear programmingFuzzy Sets and Systems, 11
M. Cheong (2005)
New Models in Logistics Network Design and Implications for 3PL Companies
Selçuk Perçin, Hokey Min (2013)
A hybrid quality function deployment and fuzzy decision-making methodology for the optimal selection of third-party logistics service providersInternational Journal of Logistics Research and Applications, 16
E. Gebennini, R. Gamberini, R. Manzini (2009)
An integrated production–distribution model for the dynamic location and allocation problem with safety stock optimizationInternational Journal of Production Economics, 122
N. Costantino, M. Dotoli, M. Falagario, M. Fanti, A. Mangini, F. Sciancalepore, W. Ukovich (2013)
A hierarchical optimization technique for the strategic design of distribution networksComput. Ind. Eng., 66
Yong Xie, Hongwei Wang, J. Efstathiou (2005)
A research framework for Web-based open decision support systemsKnowl. Based Syst., 18
Alessandro Creazza, F. Dallari, T. Rossi (2012)
An integrated model for designing and optimising an international logistics networkInternational Journal of Production Research, 50
Jiuping Xu, Qiang Liu, Rui Wang (2008)
A class of multi-objective supply chain networks optimal model under random fuzzy environment and its application to the industry of Chinese liquorInf. Sci., 178
H. Zimmermann (1985)
Fuzzy Set Theory - and Its Applications
D. Ambrosino, M. Scutellá (2005)
Distribution network design: New problems and related modelsEur. J. Oper. Res., 165
R. Manzini (2012)
A top-down approach and a decision support system for the design and management of logistic networksTransportation Research Part E-logistics and Transportation Review, 48
H. Bhargava, D. Power, Daewon Sun (2007)
Progress in Web-based decision support technologiesDecis. Support Syst., 43
M. Pishvaee, S. Torabi (2010)
A possibilistic programming approach for closed-loop supply chain network design under uncertaintyFuzzy Sets Syst., 161
L. Özdamar, Tulin Yazgac (1997)
Capacity driven due date settings in make-to-order production systemsInternational Journal of Production Economics, 49
P. Miranda, R. Garrido (2009)
Inventory service-level optimization within distribution network design problemInternational Journal of Production Economics, 122
O. Ahumada, J. Villalobos (2009)
Application of planning models in the agri-food supply chain: A reviewEur. J. Oper. Res., 196
M. Gupta, E. Sanchez (1981)
FUZZY INFORMATION AND DECISION PROCESSESIFAC Proceedings Volumes, 15
A. Kengpol (2008)
Design of a decision support system to evaluate logistics distribution network in Greater Mekong Subregion CountriesInternational Journal of Production Economics, 115
T. Paksoy, Nimet Pehlivan, Eren Özceylan (2012)
Application of fuzzy optimization to a supply chain network design: A case study of an edible vegetable oils manufacturerApplied Mathematical Modelling, 36
David Pyke, Morris Cohen (1993)
Performance characteristics of stochastic integrated production-distribution systemsEuropean Journal of Operational Research, 68
M. Pishvaee, R. Farahani, W. Dullaert (2010)
A memetic algorithm for bi-objective integrated forward/reverse logistics network designComput. Oper. Res., 37
M. Melo, S. Nickel, S. Nickel, F. Saldanha-da-Gama (2009)
Facility location and supply chain management - A reviewEur. J. Oper. Res., 196
B. Werners (1987)
An interactive fuzzy programming systemFuzzy Sets and Systems, 23
Dogan Özgen, Bahadir Gülsün (2014)
Combining possibilistic linear programming and fuzzy AHP for solving the multi-objective capacitated multi-facility location problemInf. Sci., 268
P. Schütz, A. Tomasgard, Shabbir Ahmed (2009)
Supply chain design under uncertainty using sample average approximation and dual decompositionEur. J. Oper. Res., 199
Z. Qin, Xiaoyu Ji (2010)
Logistics network design for product recovery in fuzzy environmentEur. J. Oper. Res., 202
A. Arabani, R. Farahani (2012)
Facility location dynamics: An overview of classifications and applicationsComput. Ind. Eng., 62
Purpose – Distribution network design (DND) has become an important strategic decision for supply chain managers with increasing competitive nature of the industry nowadays. The purpose of this paper is to propose a web-based decision support system (DSS) for fuzzy distribution network optimization. For this purpose, a web-based DSS using fuzzy linear programming model is proposed to solve DND problem under uncertainty and a framework is created to optimize a distribution network. Design/methodology/approach – In this study, the fuzziness in distribution network optimization is addressed. Fuzzy linear programming is used in a DSS to consider the uncertain and imprecise data. A web-based DSS architecture is presented. Furthermore, as an application, distribution network optimization is conducted for a company in the ceramics industry. Findings – By using this DSS, the optimal transshipment amounts in the distribution network and the required facility and distribution centers can be determined for different fuzziness levels. In fact, for different uncertainty levels of input parameters, the planner can understand the range of optimum network planning costs. Based on the results of this study, planners will be able to decide how to develop the distribution network under uncertain demand. Originality/value – Reviewing previous research in the related literature revealed that there are no studies presenting a web-based DSS using fuzzy linear programming model to solve this type of problems under uncertainty.
Journal of Enterprise Information Management – Emerald Publishing
Published: Mar 2, 2015
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