Cell Formation and Part Family Identification by Using Traditional Methods

A Combined Algorithm is proposed to form the machine cell and part family identification in the cellular manufacturing system. In the first phase, part families identification, by using Rank Order Clustering (ROC) and Modified Single Linkage Clustering (MOD-SLC). In second phase, Machine cell formation, by using Rank Order Clustering (ROC) and Modified Single Linkage Clustering (MOD-SLC), which is to assign machines into machine cells to produce part families. The above Proposed method is tested by using standard problems and compared with other method results for the same standard problems. Grouping efficiency is one of the most widely used measures of quality for Cellular Manufacturing Systems.

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Part family and machine cell formation in multiperiod planning horizons of cellular manufacturing systems

Production Planning & Control ◽

10.1080/095372898233812 ◽

1998 ◽

Vol 9 (6) ◽

pp. 561-571 ◽

Cited By ~ 10

Author(s):

S. M. Taboun ◽

N. S. Merchawi ◽

T. Ulger

Keyword(s):

Manufacturing Systems ◽

Cellular Manufacturing ◽

Cell Formation ◽

Cellular Manufacturing Systems ◽

Part Family ◽

Planning Horizons ◽

Machine Cell

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Machine cell formation for cellular manufacturing systems using an ant colony system approach

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-003-1927-0 ◽

2004 ◽

Vol 25 (9-10) ◽

pp. 1013-1019 ◽

Cited By ~ 26

Author(s):

G. Prabhaharan ◽

P. Asokan ◽

B.S. Girish ◽

A. Muruganandam

Keyword(s):

System Approach ◽

Manufacturing Systems ◽

Cellular Manufacturing ◽

Cell Formation ◽

Ant Colony ◽

Ant Colony System ◽

Cellular Manufacturing Systems ◽

Machine Cell

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Multidisciplinary Machine Cell Formation for Design of Cellular Manufacturing Systems

Volume 4: 4th Design for Manufacturing Conference ◽

10.1115/detc99/dfm-8928 ◽

1999 ◽

Author(s):

David He ◽

Angela Adamyan

Keyword(s):

System Reliability ◽

Utility Theory ◽

Manufacturing Systems ◽

Cellular Manufacturing ◽

Cell Formation ◽

Cellular Manufacturing Systems ◽

Design Attributes ◽

Multi Attribute Utility Theory ◽

New Formulation ◽

Machine Cell

Abstract Machine cell formation in design of cellular manufacturing systems has traditionally ignored the issues of reliability. As such, the machine cell formation methods have been developed without the explicit considerations of system reliability and maintainability and the systems designed by these methods may have poor reliability and maintainability and hence result in low availability and productivity. In this paper, we discussed how the reliability issues should be incorporated into solving machine cell formation problems. A new formulation for machine cell formation with reliability considerations in cellular manufacturing systems was developed. The formulation is based on multi-attribute utility theory and represents the tradeoff the designers are willing to make between reliability and other design attributes in design of cellular manufacturing systems. An example was used to illustrate the application of the formulation for machine cell formation with reliability considerations. An algorithm for determining the optimal machine cell size in design of cellular manufacturing systems is also proposed.

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An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing Systems

Journal of Applied Mathematics ◽

10.1155/2013/487694 ◽

2013 ◽

Vol 2013 ◽

pp. 1-10 ◽

Cited By ~ 3

Author(s):

Reza Raminfar ◽

Norzima Zulkifli ◽

Mohammadreza Vasili ◽

Tang Sai Hong

Keyword(s):

Production Planning ◽

Manufacturing Systems ◽

Cellular Manufacturing ◽

Rank Order ◽

Cell Formation ◽

Integrated Approach ◽

Production Environment ◽

Proposed Model ◽

Reducing Costs ◽

Operational Issues

Cellular manufacturing (CM) is a production approach directed towards reducing costs, as well as increasing system's flexibility in today's small-to-medium lot production environment. Many structural and operational issues should be considered for a successful CM design and implementation such as cell formation (CF), production planning, and facility layout. Most researchers have addressed these issues sequentially or independently, instead of jointly optimizing a combination of these issues. In order to attain better results to ensure that the system will be capable of remaining efficient in unknown future situations, these issues should be addressed simultaneously. In this paper, a mathematical model is developed using an integrated approach for production planning and cell formation problems in a CM. A set of numerical examples are provided from existing the literature in order to test and illustrate the proposed model. In order to evaluate and verify the performance of the proposed model, it is compared with a well-known cell formation methods (rank order clustering and direct clustering analysis), using group capability index (GCI) measure. The results and comparisons indicate that the proposed model has a significantly higher and satisfactory performance and it is reliable for the design and the analysis of CM systems.

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An Approach for the Design of Cellular Manufacturing Systems Based on Machine Utilization

Materials Science Forum ◽

10.4028/www.scientific.net/msf.626-627.759 ◽

2009 ◽

Vol 626-627 ◽

pp. 759-764

Author(s):

Le Cao ◽

Q.B. Wang ◽

Shu Ge Li

Keyword(s):

Clustering Analysis ◽

Manufacturing Systems ◽

Manufacturing System ◽

Cellular Manufacturing ◽

Cell Formation ◽

Cellular Manufacturing System ◽

Cellular Manufacturing Systems ◽

Research Issues ◽

Part Families ◽

Machine Utilization

Cell formation, which involves grouping similar parts into part families and the corresponding machines into machine cells, is one of the key research issues for designing cellular manufacturing system. In this paper, a mathematical model which targets at maximizing the machine utilization and similarity of the part groups is built. A heuristic algorithm based on clustering analysis is proposed. An example is employed to illustrate the benefit of the approach and the results suggest that the proposed approach is feasible.

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Design of Cellular Manufacturing Systems

Journal of Engineering for Industry ◽

10.1115/1.2899803 ◽

1992 ◽

Vol 114 (3) ◽

pp. 352-361 ◽

Cited By ~ 8

Author(s):

S. A. Irani ◽

P. H. Cohen ◽

T. M. Cavalier

Keyword(s):

Manufacturing Systems ◽

Material Handling ◽

Family Formation ◽

Cellular Manufacturing ◽

Cell Formation ◽

Layout Design ◽

Simultaneous Formation ◽

Part Family ◽

Machine Grouping ◽

Graph Theoretic

This paper describes a method for layout design of a Cellular Manufacturing System (CMS) that would allow simultaneously, the grouping of machines unique to a part family into cells and those shared by several cells to be located together in functional sections. Using an illustrative example, this integration of the flexibility of a functional layout, the reduced handling gained from cell formation and allowance of limited intercell flows among adjacent cells is described. Thereby, the traditional strategy of simultaneous formation of part families and distribution of machines into independent cells which creates machine distribution and unbalanced utilization problems is avoided. This is justified by an analysis of the complex interactions between the critical subproblems in cell formation—machine grouping, part family formation, distribution and utilization of shared machines, intracell layout, intercell (or shop) layout and material handling. This approach represents a new direction in cell formation where, by allowing the handling function to limit the extent of machine duplication between adjacent cells, a new graph theoretic structure for simultaneous machine grouping and layout design was developed and validated.

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Cell formation and scheduling of part families for reconfigurable cellular manufacturing systems using Tabu search

SIMULATION ◽

10.1177/0037549713491590 ◽

2013 ◽

Vol 89 (9) ◽

pp. 1056-1072 ◽

Cited By ~ 18

Author(s):

Ignacio Eguia ◽

Jesus Racero ◽

Fernando Guerrero ◽

Sebastian Lozano

Keyword(s):

Tabu Search ◽

Manufacturing Systems ◽

Cellular Manufacturing ◽

Cell Formation ◽

Cellular Manufacturing Systems ◽

Part Families

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An enhanced Tabu search Cell formation Algorithm for Cellular Manufacturing System

International Journal of Applied Metaheuristic Computing ◽

10.4018/ijamc.292498 ◽

2022 ◽

Vol 13 (1) ◽

pp. 0-0

Keyword(s):

Tabu Search ◽

Hybrid Algorithm ◽

Manufacturing Systems ◽

Cellular Manufacturing ◽

Search Algorithm ◽

Cell Formation ◽

Primary Objective ◽

Intracellular Movement ◽

Multiple Routes ◽

Machine Cell

The major benefit of using Cellular manufacturing systems (CMS) is the improvement in efficiency and reduction in the production time. In a CMS the part families and machine parts are identified to minimise the inter and intracellular movement and maximise the utilisation of machines within each cell. Many scholars have proposed methods for the evaluation of machine cell part layouts with single routes; this paper introduces a modified Hybrid Tabu Search Algorithm (HTSA) referred to as Hybrid Algorithm in this study for machine cell part layouts having multiple routes as well. The primary objective of this paper is to minimise the inter and intracellular movement using a hybrid algorithm. The paper presents a comparative analysis of the existing and the proposed algorithms, proving that the proposed hybrid algorithm is simple, easy to understand, and has a remarkable efficiency with a runtime of 5.6 seconds.

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