Management Science
Algebraic characteristics of extended fuzzy numbers
Information Sciences: an International Journal
Layout design using the analytic hierarchy process
Computers and Industrial Engineering
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Simulated Annealing and Genetic Algorithms for the Facility LayoutProblem: A Survey
Computational Optimization and Applications
A solution to the facility layout problem using simulated annealing
Computers in Industry - Special issue: ASI'96: life cycle approaches to production systems: management, control and supervision
Facilities layout design by genetic algorithms
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
P-Complete Approximation Problems
Journal of the ACM (JACM)
Defuzzification within a multicriteria decision model
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Multiple-attribute decision making methods for plant layout design problem
Robotics and Computer-Integrated Manufacturing
An integrated AHP-DEA methodology for bridge risk assessment
Computers and Industrial Engineering
An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
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In this paper, the goal is to incorporate qualitative criteria in addition to quantitative criteria to facility layout design (FLD) problem. To this end, we present an integrated methodology based on the synthetic value of fuzzy judgments and nonlinear programming (SVFJ-NLP). The facility layout patterns (FLPs) together with their performance measures of total cost of material handling are generated by a computer-aided layout-design tool, CRAFT. Also, the performance measures of second quantitative criterion (construction cost of width walls) are calculated by appraising these FLPs. The SVFJ is then applied to collect the performance measures related to qualitative criteria and finally, a non-linear programming (NLP) model is proposed to solve the FLD. Results obtained from a real case study validate the effectiveness of the proposed model.