A systematic approach for product families formation in Reconfigurable Manufacturing Systems

The aim of this work is to establish a methodology for an effective working of Reconfigurable Manufacturing Systems (RMSs). These systems are the next step in manufacturing, allowing the production of any quantity of highly customised and complex products together with the benefits of mass production. In RMSs, products are grouped into families, each of which requires a system configuration. The system is configured to produce the first family of products. Once it is finished, the system is reconfigured in order to produce the second family, and so forth. Therefore, the effectiveness of a RMS depends on the formation of the best set of product families. Therefore, a methodology for grouping products into families, which takes into account the requirements of products in RMSs, is an issue of core importance. These requirements are modularity, commonality, compatibility, reusability, and product demand. The methodology starts by calculating, for each product requirement, a matrix that summarises the similarity between pairs of products. Then, through the use of the AHP methodology, a unique matrix that comprises the similarity values between products is obtained. The Average Linkage Clustering algorithm is applied to this matrix in order to obtain a dendogram that shows the diverse sets of product families that may be formed.

[1]  Jerry C. Wei,et al.  Commonality analysis: A linear cell clustering algorithm for group technology , 1989 .

[2]  David He,et al.  Scheduling manufacturing systems for delayed product differentiation in agile manufacturing , 2002 .

[3]  Hamid Seifoddini,et al.  Clustering algorithms for the design of a cellular manufacturing system—an analysis for their performance , 1990 .

[4]  M. Reza Abdi,et al.  Grouping and selecting products: the design key of Reconfigurable Manufacturing Systems (RMSs) , 2004 .

[5]  K. Hitomi,et al.  GT cell formation for minimizing the intercell parts flow , 1992 .

[6]  Asoo J. Vakharia,et al.  Cell formation in group technology: review, evaluation and directions for future research , 1998 .

[7]  Rasaratnam Logendran,et al.  A workload based model for minimizing total intercell and intracell moves in cellular manufacturing , 1990 .

[8]  Andrew Kusiak,et al.  Decomposition of manufacturing systems , 1988, IEEE J. Robotics Autom..

[9]  Anthony Vannelli,et al.  A method for finding minimal bottle-neck cells for grouping part-machine families† , 1986 .

[10]  D. A. Milner,et al.  Direct clustering algorithm for group formation in cellular manufacture , 1982 .

[11]  Qiang Tu,et al.  Measuring Modularity-Based Manufacturing Practices and Their Impact on Mass Customization Capability: A Customer-Driven Perspective , 2004, Decis. Sci..

[12]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[13]  Ronald G. Askin,et al.  A Hamiltonian path approach to reordering the part-machine matrix for cellular manufacturing , 1991 .

[14]  T. Narendran,et al.  An assignment model for the part-families problem in group technology , 1990 .

[15]  N. Suresh,et al.  Machine-component cell formation in group technology : a neural network approach , 1992 .

[16]  Zhao Xiaobo,et al.  A stochastic model of a reconfigurable manufacturing system Part 1: A framework , 2000 .

[17]  Chih-Ming Hsu,et al.  Multi-objective machine-part cell formation through parallel simulated annealing , 1998 .

[18]  Gunter Purcheck Machine-component group formation: an heuristic method for flexible production cells and flexible manufacturing systems , 1985 .

[19]  Bopaya Bidanda,et al.  The Automated Factory Handbook: Technology and Management , 1990 .

[20]  Divakar Rajamani,et al.  Cellular Manufacturing Systems Design, Planning and Control , 1996 .

[21]  Jerry C. Wei,et al.  A mathematical programming approach for dealing with exceptional elements in cellular manufacturing , 1992 .

[22]  Rajan Batta,et al.  Cell formation using tabu search , 1995 .

[23]  J. Jiao,et al.  Towards high value-added products and services: mass customization and beyond , 2003 .

[24]  S. Hajkowicz,et al.  An Evaluation of Multiple Objective Decision Support Weighting Techniques in Natural Resource Management , 2000 .

[25]  Mahesh Gupta,et al.  A genetic algorithm-based approach to cell composition and layout design problems , 1996 .

[26]  E. Rodin,et al.  Multiple objective decision making approach to cell formation: A goal programming model , 1990 .

[27]  S. P. Mitrofanov SCIENTIFIC PRINCIPLES OF GROUP TECHNOLOGY , 1961 .

[28]  B Adenso-Díaz,et al.  A one-step tabu search algorithm for manufacturing cell design , 1999, J. Oper. Res. Soc..

[29]  M. Chandrasekharan,et al.  ZODIAC—an algorithm for concurrent formation of part-families and machine-cells , 1987 .

[30]  Ismet Erkmen,et al.  Fuzzy dynamic programming , 1994, Proceedings of MELECON '94. Mediterranean Electrotechnical Conference.

[31]  I.G.K. Ei-Essawy,et al.  Component flow analysis - an effective approach to production systems' design , 1972 .

[32]  M. Chandrasekharan,et al.  GROUPABIL1TY: an analysis of the properties of binary data matrices for group technology , 1989 .

[33]  John McAuley,et al.  Machine grouping for efficient production , 1972 .

[34]  Larry R. Taube,et al.  Weighted similarity measure heuristics for the group technology machine clustering problem , 1985 .

[35]  J. de Witte,et al.  Production flow synthesis , 1978 .

[36]  Bharatendu Srivastava,et al.  Simulated annealing procedures for forming machine cells in group technology , 1994 .

[37]  Chuen-Lung Chen,et al.  A tabu search approach to the cell formation problem , 1997 .

[38]  Nancy Lea Hyer,et al.  Procedures for the part family/machine group identification problem in cellular manufacturing , 1986 .

[39]  Suresh K. Khator,et al.  Cell formation in group technology: a new approach , 1987 .

[40]  A. Kusiak The generalized group technology concept , 1987 .

[41]  F. Jovane,et al.  Reconfigurable Manufacturing Systems , 1999 .

[42]  F. Boctor A Jinear formulation of the machine-part cell formation problem , 1991 .

[43]  Andrew Kusiak,et al.  Grouping of parts and components in flexible manufacturing systems , 1986 .

[44]  A. Galip Ulsoy,et al.  Reconfigurable manufacturing systems: Key to future manufacturing , 2000, J. Intell. Manuf..

[45]  C.-L. Chen,et al.  A simulated annealing solution to the cell formation problem , 1995 .

[46]  B. Sarker,et al.  Relative performances of similarity and dissimilarity measures , 1999 .

[47]  Rahul Rai,et al.  Modular product family design: Agent-based Pareto-optimization and quality loss function-based post-optimal analysis , 2003 .

[48]  David F. Rogers,et al.  A goal programming approach to the cell formation problem , 1991 .

[49]  Rasaratnam Logendran,et al.  Tabu search-based heuristics for cellular manufacturing systems in the presence of alternative process plans , 1994 .

[50]  Kalyan Singhal,et al.  Supply chains and compatibility among components in product design , 2002 .

[51]  G. Srinivasan,et al.  GRAFICS—a nonhierarchical clustering algorithm for group technology , 1991 .

[52]  Asoo J. Vakharia,et al.  A comparative investigation of hierarchical clustering techniques and dissimilarity measures applied to the cell formation problem , 1995 .

[53]  Stella Sofianopoulou,et al.  Manufacturing cells design with alternative process plans and/or replicate machines , 1999 .

[54]  John K. Gershenson,et al.  Product modularity: Definitions and benefits , 2003 .

[55]  D. Canca,et al.  Machine grouping using sequence-based similarity coefficients and neural networks , 2001 .

[56]  Saurabh Gupta,et al.  Product family-based assembly sequence design methodology , 1998 .

[57]  Chwen Sheu,et al.  The effects of purchased parts commonality on manufacturing lead time , 1997 .

[58]  Rossitza Setchi,et al.  Product grouping in reconfigurable manufacturing systems , 2005 .

[59]  Geetha Srinivasan,et al.  Incremental cell formation considering alternative machines , 2002 .

[60]  Jzau-Sheng Lin,et al.  Fuzzy Clustering Using A Compensated Fuzzy Hopfield Network , 1999, Neural Processing Letters.

[61]  Zhi-ming Wu,et al.  A genetic algorithm for manufacturing cell formation with multiple routes and multiple objectives , 2000 .

[62]  T. T. Narendran,et al.  Machine-cell formation through neural network models , 1994 .