Fuzzy testing and selecting better processes performance

Purpose – The principal aim of this study was to provide more realistic output data based on imprecise measurements of product quality. The real‐world problems in fuzzy testing and selecting better processes performance are considered.Design/methodology/approach – The Taguchi index, which provides numerical measures on process performance, has been widely used in the industry. In practice, the Taghchi index is estimated by sample data, thus it is of interest to obtain the confidence limits of the estimate Cpm for assessing processes. In addition, it is much more realistic, because in general the output quality characteristics of continuous quantities are more or less imprecise. Using the approach taken by Buckley, with some extensions, a general method is used to combine the vector of fuzzy numbers to produce the membership function of a fuzzy estimator of Cpm for further fuzzy testing and selection of better process performances.Findings – As the rapid advancement of manufacturing technology occurs, curr...

[1]  Mahesh S. Raisinghani,et al.  Six Sigma: concepts, tools, and applications , 2005, Ind. Manag. Data Syst..

[2]  Yufei Yuan Criteria for evaluating fuzzy ranking methods , 1991 .

[3]  Fred A. Spiring,et al.  A New Measure of Process Capability: Cpm , 1988 .

[4]  Henry C. W. Lau,et al.  An intelligent forward quality enhancement system to achieve product customization , 2005, Ind. Manag. Data Syst..

[5]  Didier Dubois,et al.  Ranking fuzzy numbers in the setting of possibility theory , 1983, Inf. Sci..

[6]  Selim Zaim,et al.  The impact of supply chain management practices on performance of SMEs , 2007, Ind. Manag. Data Syst..

[7]  T. S. Raghunathan,et al.  A comparative study of quality practices: USA, China and India , 1997 .

[8]  Hans Corsten,et al.  Reflections on Competitive Strategy and Its Impact on Modern Production Concepts , 1993 .

[9]  James R. Evans,et al.  The management and control of quality , 1989 .

[10]  Chinho Lin,et al.  An ISO 9001: 2000 quality information system in e-commerce environment , 2003, Ind. Manag. Data Syst..

[11]  Tirthankar Dasgupta,et al.  Using the six-sigma metric to measure and improve the performance of a supply chain , 2003 .

[12]  Wen Lea Pearn,et al.  A Bayesian approach for assessing process precision based on multiple samples , 2005, Eur. J. Oper. Res..

[13]  James J. Buckley,et al.  Fuzzy Probabilities : New Approach and Applications , 2005 .

[14]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[15]  Francisco Javier Lloréns Montes,et al.  Learning during the quality management process: Antecedents and effects in service firms , 2005, Ind. Manag. Data Syst..

[16]  Mats Deleryd,et al.  On the gap between theory and practice of process capability studies , 1998 .

[17]  Richard Y. K. Fung,et al.  An XML-based real-time quality measurement scheme , 2004, Ind. Manag. Data Syst..

[18]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[19]  Ching-Hsue Cheng,et al.  Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly , 2006, Microelectron. Reliab..

[20]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[21]  W. C. Benton,et al.  Vendor selection criteria and methods , 1991 .

[22]  Jan Olhager,et al.  Supply chain management survey of Swedish manufacturing firms , 2004 .

[23]  Steve Brown,et al.  Quality management in small manufacturing , 2003, Ind. Manag. Data Syst..

[24]  Daniel I. Prajogo,et al.  The relationship between competitive strategies and product quality , 2007, Ind. Manag. Data Syst..

[25]  King Lun Choy,et al.  Development of an intelligent customer-supplier relationship management system: the application of case-based reasoning , 2003, Ind. Manag. Data Syst..

[26]  S. R. Devadasan,et al.  Quality improvement oriented training and education programme and its financial accounting system , 2006, Ind. Manag. Data Syst..

[27]  Richard K. Burdick,et al.  Using Confidence Intervals to Compare Process Capability Indices , 2004 .

[28]  Guo Jin-li,et al.  A New Measure of Process Capability , 2008 .

[29]  James J. Buckley,et al.  Fuzzy statistics: hypothesis testing , 2005, Soft Comput..

[30]  Abbas Parchami,et al.  Fuzzy estimation for process capability indices , 2007, Inf. Sci..

[31]  Thomas Y. Choi,et al.  An exploration of supplier selection practices across the supply chain , 1996 .

[32]  E. N. Dialynas,et al.  Reliability prediction and failure mode effects and criticality analysis (FMECA) of electronic devices using fuzzy logic , 2005 .

[33]  S. H. Chen,et al.  FUZZY ECONOMIC PRODUCTION QUANTITY MODEL FOR ITEMS WITH IMPERFECT QUALITY , 2007 .

[34]  James J. Buckley,et al.  Fuzzy Probabilities and Fuzzy Sets for Web Planning , 2003, Studies in Fuzziness and Soft Computing.

[35]  Lisa M. Ellram,et al.  Supplier Selection and Evaluation in Small versus Large Electronics Firms , 1995 .

[36]  Slavko Dolinsek,et al.  Implementation of the ISO 9001: from QMS to business model , 2006, Ind. Manag. Data Syst..

[37]  Jeh-Nan Pan,et al.  Evaluating environmental performance using statistical process control techniques , 2002, Eur. J. Oper. Res..

[38]  James J. Buckley Fuzzy systems , 2005, Soft Comput..

[39]  Alan D. Smith,et al.  Supply chain management using electronic reverse auctions: a multi-firm case study , 2006, Int. J. Serv. Stand..

[40]  Gary W. Dickson,et al.  AN ANALYSIS OF VENDOR SELECTION SYSTEMS AND DECISIONS , 1966 .

[41]  Wen Lea Pearn,et al.  Lower confidence bounds with sample size information for Cpm applied to production yield assurance , 2003 .

[42]  Xin James He,et al.  Data warehousing for supply chain management with case analysis , 2006 .

[43]  Russell A. Boyles,et al.  The Taguchi capability index , 1991 .

[44]  Samuel Kotz,et al.  Process Capability Indices , 1993 .

[45]  Sameer Prasad,et al.  Capability indices for material balance accounting , 1999, Eur. J. Oper. Res..

[46]  R. Viertl,et al.  Testing hypotheses with fuzzy data: The fuzzy p-value , 2004 .

[47]  Lora S. Zimmer,et al.  Process Capability Indices in Theory and Practice , 2000, Technometrics.

[48]  John N. Pearson,et al.  Strategically managed buyer–supplier relationships and performance outcomes , 1999 .

[49]  Kongkiti Phusavat,et al.  Productivity/performance measurement: Case application at the government pharmaceutical organization , 2006, Ind. Manag. Data Syst..

[50]  Selim Zaim,et al.  TQM and market orientation's impact on SMEs' performance , 2006, Ind. Manag. Data Syst..

[51]  Victor E. Kane,et al.  Process Capability Indices , 1986 .

[52]  Cornelia Dröge,et al.  The contribution of quality to business performance , 1996 .

[53]  M. K. Salameh,et al.  Economic production quantity model for items with imperfect quality , 2000 .

[54]  Cengiz Kahraman,et al.  An alternative approach to fuzzy control charts: Direct fuzzy approach , 2007, Inf. Sci..

[55]  Mats Deleryd,et al.  Experiences of implementing statistical methods in small enterprises , 1999 .

[56]  Naotoshi Sugano,et al.  FUZZY SET THEORETICAL APPROACH TO ACHROMATIC RELEVANT COLOR ON THE NATURAL COLOR SYSTEM , 2006 .

[57]  Jeh-Nan Pan,et al.  A comparative study on motivation for and experience with ISO 9000 and ISO 14000 certification among Far Eastern countries , 2003, Ind. Manag. Data Syst..