Reliability Consideration in the Design of Cellular Manufacturing Systems using Genetic Algorithm

Note: appendices for this title available . This thesis proposes a multi-objective, mixed integer, non-linear programming model of cellular manufacturing systems (CMS) design to maximize the system reliability and minimize the total system cost simultaneously. The model involves multiple machine types, multiple machines for each machine type, multiple part types, and alternative process routes for each part type. Each process route consists of a sequence of operations. System reliability associated with machines along process routes can be improved by increasing the number of parallel machines subject to acceptable cost. Assuming machine reliability to follow a lognormal distribution, the CMS design problem is to optimally decide the number of each machine type, assign machines to cells, and select, for each part type, the process route with the highest overall system reliability while minimizing the total cost. Genetic algorithm is applied to solve this practical-sized CMS design problem. It finds a heuristic solution within a reasonable computational time.

[1]  Stephen T. Newman,et al.  A review of the modern approaches to multi-criteria cell design , 2000 .

[2]  Arnold L. Sweet,et al.  ON THE HAZARD RATE OF THE LOGNORMAL-DISTRIBUTION - REPLY , 1990 .

[3]  Robert E. Mullen,et al.  The lognormal distribution of software failure rates: application to software reliability growth modeling , 1998, Proceedings Ninth International Symposium on Software Reliability Engineering (Cat. No.98TB100257).

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

[5]  Nancy Lea Hyer,et al.  Cellular manufacturing in the U.S. industry: a survey of users , 1989 .

[6]  Semyon M. Meerkov,et al.  Lean buffering in serial production lines with non-exponential machines , 2005, OR Spectr..

[7]  Harold Ascher,et al.  Handbook of Reliability Engineering and Management , 1988 .

[8]  Hamid Seifoddini,et al.  The effect of reliability consideration on the application of quality index , 2001 .

[9]  Henri Pierreval,et al.  Manufacturing cell design with flexible routings capability in presence of unreliable machines , 1999 .

[10]  Christophe Caux,et al.  Cell formation with alternative process plans and machine capacity constraints: A new combined approach , 2000 .

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

[12]  A. E. King.  A Comprehensive Review of Production-oriented Manufacturing Cell Formation Techniques , 1996 .

[13]  Ramesh C. Gupta,et al.  Reliability functions of generalized log-normal model , 2005, Math. Comput. Model..

[14]  Jia Zhixin,et al.  Equivalent fatigue load in machine-tool probabilistic reliability. Part I: Theoretical basis , 1993 .

[15]  Hamid R. Parsaei,et al.  Part family formation based on alternative routes during machine failure , 1998 .

[16]  Sankar Sengupta,et al.  Integrating Machine Reliability and Preventive Maintenance Planning in Manufacturing Cell Design , 2008 .

[17]  Elin M. Wicks,et al.  Designing cellular manufacturing systems with dynamic part populations , 1999 .

[18]  Mitsuo Gen,et al.  Genetic algorithms and engineering design , 1997 .

[19]  Kanchan Das,et al.  Reliability considerations in the design of cellular manufacturing systems: A simulated annealing‐based approach , 2006 .

[20]  Yazhou Jia,et al.  Field failure database of CNC lathes , 1999 .

[21]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[22]  Rasaratnam Logendran,et al.  Analysis of cellular and functional manufacturing systems in the presence of machine breakdown , 1997 .

[23]  Swapna S. Gokhale,et al.  Application of the Lognormal Distribution to Software Reliability Engineering , 2008 .

[24]  Urban Wemmerlöv,et al.  CELLULAR MANUFACTURING AT 46 USER PLANTS : IMPLEMENTATION EXPERIENCES AND PERFORMANCE IMPROVEMENTS , 1997 .

[25]  Charles E Ebeling,et al.  An Introduction to Reliability and Maintainability Engineering , 1996 .

[26]  Ronald G. Askin,et al.  Investigation of Cellular Manufacturing Practices , 2007 .

[27]  K. Das.  A comparative study of exponential distribution vs Weibull distribution in machine reliability analysis in a CMS design , 2008, Comput. Ind. Eng..

[28]  Asoo J. Vakharia,et al.  A methodology for designing flexible cellular manufacturing systems , 1997 .