scholarly journals Facility layout design using a multi-objective interactive genetic algorithm to support the DM

2013 ◽  
Vol 32 (1) ◽  
pp. 94-107 ◽  
Author(s):  
Laura García-Hernández ◽  
Antonio Arauzo-Azofra ◽  
Lorenzo Salas-Morera ◽  
Henri Pierreval ◽  
Emilio Corchado
Author(s):  
Safiye Turgay

Facility layout design problem considers the departments’ physcial layout design with area requirements in some restrictions such as material handling costs, remoteness and distance requests. Briefly, facility layout problem related to optimization of the layout costs and working conditions. This paper proposes a new multi objective simulated annealing algorithm for solving of the unequal area in layout design. Using of the different objective weights are generated with entropy approach and used in the alternative layout design. Multi objective function takes into the objective function and constraints. The suggested heuristic algorithm used the multi-objective parameters for initialization. Then prefered the entropy approach determines the weight of the objective functions. After the suggested improved simulated annealing approach applied to whole developed model. A multi-objective simulated annealing algorithm is implemented to increase the diversity and reduce the chance of getting layout conditions in local optima.


2015 ◽  
Vol 90 ◽  
pp. 167-176 ◽  
Author(s):  
Ashish Saraswat ◽  
Uday Venkatadri ◽  
Ignacio Castillo

Author(s):  
S. M. Vadivel ◽  
A. H. Sequeira ◽  
Sunil Kumar Jauhar ◽  
K. S. Amirthagadeswarn ◽  
T. Aravind Krishna

Author(s):  
Enrique Ruiz Zúñiga ◽  
Erik Flores García ◽  
Matías Urenda Moris ◽  
Masood Fathi ◽  
Anna Syberfeldt

Facility layout design is becoming more challenging as manufacturing moves from traditionally emphasised mass production to mass customisation. The increasing demand for customised products and services is driving the need to increase flexibility and adaptability of both production processes and their material handling systems. A holistic approach for designing facility layouts with optimised flows considering production and logistics systems constraints seems to be missing in the literature. Several tools, including traditional methods, analytic hierarchy process, multiple-attribute decision making, simulation, and optimisation methods, can support such a process. Among these, simulation-based optimisation is the most promising. This paper aims to develop a facility layout design methodology supported by simulation-based optimisation while considering both production and logistics constraints. A literature review of facility layout design with simulation and optimisation and the theoretical and empirical challenges are presented. The integration of simulation-based optimisation in the proposed methodology serves to overcome the identified challenges, providing managers and stakeholders with a decision support system that handles the complex task of facility layout design.


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