Cell formation problem (CFP) is one of the main problems in cellular manufacturing systems. Minimizing exceptional elements and voids is one of the common objectives in the CFP. The purpose of the present study is to propose a new model for cellular manufacturing systems to group parts and machines in dedicated cells using a part-machine incidence matrix to minimize the voids. After identifying...

Because of the nature of conventional 0-1 part-family incidence matrix, a multi-cell flexible manufacturing systems (MCFMS) using conventional part-family formation algorithms, such as array-based clustering, similarity coefficient-based clustering, and mathematical programming, in a cellular manufacturing mode can assign a part family only to one machine cell. The consequence is that each part...

background: the incidence rate of esophageal squamouse cell cancer (escc) in eastern part of golestan province in iran is among the highest ones in the world. in order to discover the factors interplay in high rate of escc incidence, several case-control and cross-sectional studies were established in this area.as a cohort study has priority in detecting risk factors of a disease, a 10-year pro...

This document describes the process we used to obtain a reference clustering from anti-virus labels to evaluate the malware clustering techniques presented in [3]. This text was included in an early version of [3], but it had to be discarded because of space limitations. Since this reference dataset has been made available and is being used by several researchers, it seems useful to provide det...

This paper presents a two-phase clustering algorithm for machine-cell and partfamily formation in the design of cellular manufacturing systems. The proposed algorithm begins with the determination of initial cluster centers via a linear assignment method using the least similar group representatives in its first phase. A fuzzy C-means clustering method is followed in its second phase for part-f...