Establishing rules to design a minicell-based manufacturing system for mass customisation

Mass Customisation (MC) is the production of individually customised offerings at low cost and short lead times. Successful MC requires a complete shift in the paradigm from the design-make-sell philosophy used in traditional manufacturing to one that is based on design-sell-make. Flexibility in the manufacturing system is therefore essential to receive orders from customers and fabricate and assemble products as necessary. A minicell-based manufacturing system, which is a modular, networked configuration, is one approach to achieve this flexibility. Due to the various methods available to design the modular minicell configuration, establishing good designs is a complex and time-consuming process. This paper focuses on establishing design rules that can help identify good minicell configurations, to achieve different performance criteria, without having to explore the entire solution space.

[1]  Shigeji Miyazaki,et al.  ANALYSIS FOR MINIMIZING WEIGHTED MEAN FLOW-TIME IN FLOW-SHOP SCHEDULING , 1980 .

[2]  S. Kotha.  Mass customization: Implementing the emerging paradigm for competitive advantage , 1995 .

[3]  Alessandro Urbani,et al.  Flexibility and Reconfigurability for Mass Customization , 2003 .

[4]  William L. Berry,et al.  Approaches to mass customization: configurations and empirical validation , 2000 .

[5]  Jocelyn Drolet,et al.  The cellular manufacturing evolution , 1996 .

[6]  C. Rajendran,et al.  Different initial sequences for the heuristic of Nawaz, Enscore and Ham to minimize makespan, idletime or flowtime in the static permutation flowshop sequencing problem , 2003 .

[7]  B. Joseph Pine,et al.  The Experience Economy , 1999 .

[8]  J. Browne,et al.  The extended enterprise-a context for manufacturing , 1998 .

[9]  Phanindra Kumar Chadalavada.  MINIMUM FLOW TIME SCHEDULE GENETIC ALGORITHM FOR MASS CUSTOMIZATION MANUFACTURING USING MINICELLS , 2006 .

[10]  Jatinder N. D. Gupta,et al.  Heuristic Algorithms for Multistage Flowshop Scheduling Problem , 1972 .

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

[12]  L. Gelders,et al.  Four simple heuristics for scheduling a flow-shop , 1978 .

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

[14]  Dale T. Masel,et al.  A modular minicell configuration for mass customisation manufacturing , 2007 .

[15]  C. Rajendran,et al.  An efficient heuristic for scheduling in a flowshop to minimize total weighted flowtime of jobs , 1997 .

[16]  David G. Dannenbring,et al.  An Evaluation of Flow Shop Sequencing Heuristics , 1977 .

[17]  G. Kruse,et al.  Follow The Customer , 1997 .

[18]  S. M. Shafer,et al.  Part-Machine-Labor Grouping: The Problem and Solution Methods , 1998 .

[19]  Frank T. Piller,et al.  Does mass customization pay? An economic approach to evaluate customer integration , 2004 .

[20]  Hamid Seifoddini,et al.  Single linkage versus average linkage clustering in machine cells formation applications , 1989 .

[21]  Rick Dove,et al.  21st Century Manufacturing Enterprise Strategy: An Industry-Led View , 1991 .

[22]  Inyong Ham,et al.  A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem , 1983 .

[23]  Yih-Long Chang,et al.  A new heuristic for the n-job, M-machine flow-shop problem , 1991 .

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

[25]  R. A. Dudek,et al.  A Heuristic Algorithm for the n Job, m Machine Sequencing Problem , 1970 .

[26]  S. Kotha.  Mass Customization: The New Frontier in Business Competition , 1992 .

[27]  Ali Allahverdi,et al.  New heuristics to minimize total completion time in m-machine flowshops , 2002 .

[28]  D. S. Palmer.  Sequencing Jobs Through a Multi-Stage Process in the Minimum Total Time—A Quick Method of Obtaining a Near Optimum , 1965 .

[29]  Allan S. Carrie,et al.  Numerical taxonomy applied to group technology and plant layout , 1973 .

[30]  Gilmore Jh,et al.  The four faces of mass customization. , 1997 .

[31]  J. Framiñan,et al.  An efficient constructive heuristic for flowtime minimisation in permutation flow shops , 2003 .

[32]  D. Chaudhuri,et al.  An efficient heuristic approach to the scheduling of jobs in a flowshop , 1992 .

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

[34]  Jose M. Framiñan,et al.  Comparison of heuristics for flowtime minimisation in permutation flowshops Technical report IO-2003 / 01 Version 0 . 5 Last version : 26 / 07 / 2003 , 2004 .

[35]  Fathima Fazleena Badurdeen.  Minicell Configuration for Mass Customization Manufacturing , 2005 .

[36]  Nancy Lea Hyer,et al.  Reorganizing the Factory: Competing Through Cellular Manufacturing , 2001 .

[37]  Carliss Y. Baldwin,et al.  Managing in an age of modularity. , 1997, Harvard business review.

[38]  Dale T. Masel,et al.  A genetic algorithm-based approach to design minicells for mass customisation manufacturing , 2008 .

[39]  Ravi Sethi,et al.  The Complexity of Flowshop and Jobshop Scheduling , 1976, Math. Oper. Res..

[40]  Nancy Lea Hyer,et al.  Work Cells with Staying Power: Lessons for Process Complete Operations , 2003 .

[41]  B. J. Pine,et al.  Do You Want to Keep Your Customers Forever , 2010 .