Justification for the selection of a reconfigurable manufacturing system: a fuzzy analytical hierarchy based approach

The aim of this article is to highlight a novel production system paradigm entitled the Reconfigurable Manufacturing System (RMS) and study its pre-design strategies. Here a decision-making module is established for the evaluation of existing and new generation manufacturing systems by trading off among the tangible and intangible design parameters. This difficult and time-consuming process is carried out using the Analytical Hierarchy Process (AHP), a widely used process to solve multi-criteria decision-making problems. In order to capture the vagueness and uncertainty of the decision-makers’ judgment, fuzzy logic is introduced into the pairwise comparison of alternatives. In order to provide the designers with a systematic framework to evaluate different alternatives to support their manufacturing system choice, in this paper a model has been proposed to quantify those features of MSs that aid in rapidly adjusting their capability to production functionality (convertibility). After providing the mathematical model to quantify the metrics of convertibility, a fuzzy logic based AHP model has been utilized to evaluate the importance of the individual matrices in measuring the system convertibility. We provide support with an effective case example.

[1]  C. K. Kwong,et al.  A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment , 2002, J. Intell. Manuf..

[2]  William J. Kolarik,et al.  Strategic planning in manufacturing systems: AHP application to an equipment replacement decision , 1995 .

[3]  Derek Yip-Hoi,et al.  Design Principles for Machining System Configurations , 2002 .

[4]  Bozidar Radunovic.  An overview of advances in reconfigurable computing systems , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[5]  K. Mashford,et al.  Next generation manufacturing , 2003 .

[6]  A. Galip Ulsoy,et al.  Real-Time Open Control Architectures and System Performance , 1996 .

[7]  S. Chanas.  The use of parametric programming in fuzzy linear programming , 1983 .

[8]  F. A. Lootsma,et al.  Multicriteria decision analysis with fuzzy pairwise comparisons , 1989 .

[9]  Ashraf Labib,et al.  Management decisions for a continuous improvement process in industry using the analytical hierarchy process , 2001 .

[10]  Sameh M. Saad,et al.  Flexibility and responsiveness of machining environments , 1998 .

[11]  Hepu Deng,et al.  Multicriteria analysis with fuzzy pairwise comparison , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[12]  Don-lin Mon,et al.  Evaluating weapon system by Analytical Hierarchy Process based on fuzzy scales , 1994 .

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

[14]  Yoram Koren,et al.  Convertibility Measures for Manufacturing Systems , 2003 .

[15]  S. Jack Hu,et al.  Selecting manufacturing system configurations based on performance using AHP , 2002 .

[16]  Lotfi A. Zadeh,et al.  Fuzzy logic, neural networks, and soft computing , 1993, CACM.

[17]  C K Kwong,et al.  Determining the Importance Weights for the Customer Requirements in QFD Using a Fuzzy AHP with an Extent Analysis Approach , 2003 .

[18]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[19]  Hing Kai Chan,et al.  An integrated fuzzy decision support system for multicriterion decision-making problems , 2003 .

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

[21]  Georges Abdul-Nour,et al.  Dynamic cellular manufacturing system (DCMS) , 1996 .

[22]  Lotfi A. Zadeh,et al.  Fuzzy logic, neural networks, and soft computing , 1993, CACM.

[23]  Zeki Ayağ,et al.  A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment , 2005 .

[24]  Ashraf Labib,et al.  A design strategy for reconfigurable manufacturing systems (RMSs) using analytical hierarchical process (AHP): A case study , 2003 .

[25]  Gun Ho Lee,et al.  Reconfigurability consideration design of components and manufacturing systems , 1997 .

[26]  J. Y. Zhu,et al.  Learning Force Control for Position Controlled Robotic Manipulator , 1999 .