RT - Journal Article
T1 - Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout Problem
JF - IUST
YR - 2018
JO - IUST
VO - 29
IS - 2
UR - http://ijiepr.iust.ac.ir/article-1-762-en.html
SP - 175
EP - 196
K1 - Cellular manufacturing system
K1 - Cell formation
K1 - Cell layout
K1 - Machine reliability
K1 - Meta-heuristic algorithms.
AB - The fundamental function of a cellular manufacturing system (CMS) is based on definition and recognition of a type of similarity among parts that should be produced in a planning period. Cell formation (CF) and cell layout design are two important steps in implementation of the CMS. This paper represents a new nonlinear mathematical programming model for dynamic cell formation that employs the rectilinear distance notion to determine the layout in the continuous space. In the proposed model, machines are considered unreliable with a stochastic time between failures. The objective function calculates the costs of inter and intra-cell movements of parts and the cost due to the existence of exceptional elements (EEs), cell reconfigurations and machine breakdowns. Due to the problem complexity, the presented mathematical model is categorized in NP-hardness; thus, a genetic algorithm (GA) is used for solving this problem. Several crossover and mutation strategies are adjusted for GA and parameters are calibrated based on Taguchi experimental design method. The great efficiency of the proposed GA is then demonstrated via comparing with particle swarm optimization (PSO) and the optimum solution via GAMS considering several small/medium and large-sized problems.
LA eng
UL http://ijiepr.iust.ac.ir/article-1-762-en.html
M3 10.22068/ijiepr.29.2.175
ER -