2017•Journal of Industrial Pollution ControlRequires access

CELL FORMATION IN CELLULAR MANUFACTURING SYSTEMS USINGARTIFICIAL IMMUNE SYSTEM

R Mahalakshmi, Ayyasamy Manimaran, S Karthick

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Abstract

This paper presents an Artificial Immune System (AIS) algorithm for the cell formation problem. This algorithm is used for manufacturing cells and part families in the cellular manufacturing systems. This algorithm is suitable for forming a good block diagonal matrix for a cell formation problem with Machine Part Incidence Matrix (MPIM) as input. The objective of this algorithm is the maximization of Grouping Efficacy (GE), which is one of the most widely, used measures of quality for cellular configurations. A comparison of the proposed algorithm is made with other proven methods of cell formation problems by found in the literature and that the proposed algorithm is performing much better than the others.

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What this paper is about

This paper presents an Artificial Immune System (AIS) algorithm for the cell formation problem. This algorithm is used for manufacturing cells and part families in the cellular manufacturing systems. This algorithm is suitable for forming a good block diagonal matrix for a cell formation problem with Machine Part Incidence Matrix (MPIM) as input. The objective of this algorithm is the maximization of Grouping Efficacy (GE), which is one of the most widely, used measures of quality for cellular configurations. A comparison of the proposed algorithm is made with other proven methods of cell formation problems by found in the literature and that the proposed algorithm is performing much better than the others.

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Available abstract

This paper presents an Artificial Immune System (AIS) algorithm for the cell formation problem. This algorithm is used for manufacturing cells and part families in the cellular manufacturing systems. This algorithm is suitable for forming a good block diagonal matrix for a cell formation problem with Machine Part Incidence Matrix (MPIM) as input. The objective of this algorithm is the maximization of Grouping Efficacy (GE), which is one of the most widely, used measures of quality for cellular configurations. A comparison of the proposed algorithm is made with other proven methods of cell formation problems by found in the literature and that the proposed algorithm is performing much better than the others.

Key concepts: Cellular manufacturing, Cell formation, Incidence matrix, Artificial immune system, Group technology, Maximization, Computer science, Matrix (chemical analysis)

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