New Approach to Solving Cell Formation Design with an Improved Similarity Coefficient Method

Abstract

Cellular manufacturing systems consider effective ways to increase the productivity of labor, materials, space, and time. In this way, the same machines are grouped into cells, which are then allocated to the family of similar parts. There are several ways to classify parts and cars in the cell. One of these methods is the use of a similarity coefficient. This new approach facilitates cell formation. This approach is divided into two stages. The first stage involves processing the sequence similarity coefficient presented in this article. In contrast, the second stage considers the number of repeat operations to identify parts with the maximum similarity, taking into account the family. In the second phase, a new mathematical model is presented, incorporating key operational aspects such as alternative routing, machine capacity, demand components, operational duration, and machine allocation to minimize costs across machine, operating, and transportation between cells. A performance test method, which had several issues identified in the literature, was tested and analyzed.