F. Mokhatab Rafiee,
Volume 21, Issue 1 (7-2002)
Abstract
A Two-phase model for configuring a cellular manufacturing system is proposed. In phase (I), for the first time, number of cells is considered as a decision variable. In phase (II), pursing two different objectives, one minimization of underload and the other, maximization of similarity of parts within a group, the design procedure is performed. As one cannot have these two objects together, a heuristic algorithm based on cellular similarity coefficient and integration of two objects is proposed. The results confirmed that the proposed heuristic procedure has reasonable outcomes.
Keywords: manufacturing cell, cellular similarity coefficient, two-phase model, heuristic algorithm
K. Eshgee and M. Kazemi,
Volume 23, Issue 1 (7-2004)
Abstract
In this paper, a new algorithm for solving the single loop routing problem is presented. The purpose of the single loop routing problem(SLRP) is to find the shortest loop for an automated guided vehicle covering at least one edge of each department of a block layout. First it shown that this problem can be represented as a graph model. Then a meta-heuristic algorithm based on and colony system is developed for ALRP by using the properties of the graph model. Computational results show the efficiency of the proposed algorithm in comparison with other techniques for solving SLRP.
