TY - JOUR
T1 - Bi-objective optimization for multi-floor facility layout problem with fixed inner configuration and room adjacency constraints
AU - Che, Ada
AU - Zhang, Yipei
AU - Feng, Jianguang
N1 - Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2017/3/1
Y1 - 2017/3/1
N2 - The conventional facility layout problem (FLP) is concerned with arranging a number of interacting facilities, such as machines or departments, within a single-floor or multi-floor space to satisfy one or more objectives. In this paper, we devote ourselves to treating a novel bi-objective multi-floor FLP with fixed inner configuration and room adjacency constraints. In our problem, a given number of departments with required areas need to be arranged in a multi-floor building with fixed room configuration and the rooms of the same department should be adjacent to each other. In order to formulate the problem, a bi-objective mixed integer non-linear programming model is first proposed. The objective is to simultaneously minimize the total material handling cost among all the departments and the total occupied room area. The model is then linearized and further improved by determining the lower bound on the number of rooms occupied by each department. With the purpose of obtaining all Pareto optimal solutions, we employ an exact ε-constraint method to solve the model. Computational experiments on a real-life instance and randomly generated instances are conducted to validate the effectiveness of the proposed approach.
AB - The conventional facility layout problem (FLP) is concerned with arranging a number of interacting facilities, such as machines or departments, within a single-floor or multi-floor space to satisfy one or more objectives. In this paper, we devote ourselves to treating a novel bi-objective multi-floor FLP with fixed inner configuration and room adjacency constraints. In our problem, a given number of departments with required areas need to be arranged in a multi-floor building with fixed room configuration and the rooms of the same department should be adjacent to each other. In order to formulate the problem, a bi-objective mixed integer non-linear programming model is first proposed. The objective is to simultaneously minimize the total material handling cost among all the departments and the total occupied room area. The model is then linearized and further improved by determining the lower bound on the number of rooms occupied by each department. With the purpose of obtaining all Pareto optimal solutions, we employ an exact ε-constraint method to solve the model. Computational experiments on a real-life instance and randomly generated instances are conducted to validate the effectiveness of the proposed approach.
KW - Bi-objective optimization
KW - Facility layout problem
KW - Mixed integer linear programming
KW - Multi-floor
KW - ε-constraint method
UR - http://www.scopus.com/inward/record.url?scp=85010390770&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2016.12.018
DO - 10.1016/j.cie.2016.12.018
M3 - 文章
AN - SCOPUS:85010390770
SN - 0360-8352
VL - 105
SP - 265
EP - 276
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
ER -