Benchmarking agility assessment approaches: a case study

Purpose – The purpose of this paper is to benchmark the assessment approaches of agility in a manufacturing organization. Design/methodology/approach – The criteria for agility assessment were identified comprehensively based on literature review. The agility assessment was done using Multi Grade Fuzzy and Fuzzy logic approaches, and the results were benchmarked. Findings – Based on Multi Grade Fuzzy approach, the agility index was found to be 6.6; Fuzzy logic approach reveals the agility index as (5.37, 6.91, 8.45) which indicated the case organization is agile. The gaps were identified from both the approaches and the results were corroborated. Research limitations/implications – In the present study, Multi Grade Fuzzy and Fuzzy logic approaches were only benchmarked. Also, the benchmarking exercise was done only in one manufacturing organization. Practical implications – The benchmarking study was conducted in a manufacturing organization. The practitioners’ views were gathered and they were involved i...

[1]  Li Zheng,et al.  Re-engineering of the design process for concurrent engineering , 2000 .

[2]  Hyunbo Cho,et al.  Enabling technologies of agile manufacturing and its related activities in Korea , 1996 .

[3]  Amir M. Hormozi,et al.  Agile manufacturing: the next logical step , 2001 .

[4]  J. Motwani,et al.  A methodology for assessing time‐based competitive advantage of manufacturing firms , 1995 .

[5]  S. R. Devadasan,et al.  Quantification of agility: An experimentation in an Indian electronics switches manufacturing company , 2008 .

[6]  Hans W. Guesgen,et al.  Imprecise reasoning in geographic information systems , 2000, Fuzzy Sets Syst..

[7]  Rakesh Nagi,et al.  Design of distributed information systems for agile manufacturing virtual enterprises using CORBA and STEP standards , 2002 .

[8]  Jin Peng,et al.  Fuzzy Group Decision Making Model Based on Credibility Theory and Gray Relative Degree , 2009, Int. J. Inf. Technol. Decis. Mak..

[9]  P. Humphreys,et al.  An inter-organizational information system for supply chain management , 2001 .

[10]  Jie Lu,et al.  A Fuzzy Multi-Objective bilevel Decision Support System , 2009, Int. J. Inf. Technol. Decis. Mak..

[11]  David J. Barnes,et al.  Formulating partner selection criteria for agile supply chains: A Dempster-Shafer belief acceptability optimisation approach , 2010 .

[12]  George Chryssolouris,et al.  DESYMA: assessing flexibility for the lifecycle of manufacturing systems , 2007 .

[13]  Kimon P. Valavanis,et al.  On the Measurement of Enterprise Agility , 2002, J. Intell. Robotic Syst..

[14]  Steffen Raub,et al.  Implementing Knowledge Management:: Three Strategies for Effective CKOs , 2004 .

[15]  S. Vinodh,et al.  Agility index measurement using multi-grade fuzzy approach integrated in a 20 criteria agile model , 2010 .

[16]  Giovani J.C. da Silveira,et al.  Mass customization: Literature review and research directions , 2001 .

[17]  R. Jagadeesh,et al.  Total quality management in India – perspective and analysis , 1999 .

[18]  Shaw C. Feng,et al.  A modular architecture for rapid development of CAPP systems for agile manufacturing , 1996 .

[19]  Golaleh Ebrahimpur,et al.  Restructuring for agility at Volvo Car Technical Service (VCTS) , 2001 .

[20]  Z. Zhang,et al.  A methodology for achieving agility in manufacturing organisations , 2000 .

[21]  S. Vinodh,et al.  Agility evaluation using the IF–THEN approach , 2012 .

[22]  Ching-Torng Lin,et al.  Agility evaluation using fuzzy logic , 2006 .

[23]  Danny Pimentel Claro,et al.  Collaborative buyer–supplier relationships and downstream information in marketing channels , 2010 .

[24]  S. R. Devadasan,et al.  Agility through rapid prototyping technology in a manufacturing environment using a 3D printer , 2009 .

[25]  Eleonora Bottani,et al.  A FUZZY QFD APPROACH TO ACHIEVE AGILITY , 2009 .

[26]  K. Lai,et al.  Responsive supply chain : A competitive strategy in a networked economy , 2008 .

[27]  Joseph Sarkis,et al.  BENCHMARKING FOR AGILITY , 2001 .

[28]  Ronald E. Giachetti,et al.  A measure of agility as the complexity of the enterprise system , 2004 .

[29]  S. L. Yang,et al.  Agility Evaluation of Mass Customization Product Manufacturing , 2002 .

[30]  Angappa Gunasekaran,et al.  Agile manufacturing: A framework for research and development , 1999 .

[31]  J. Bessant,et al.  The manufacturing strategy‐capabilities links in mass customisation and agile manufacturing – an exploratory study , 2003 .

[32]  K. Praveen Parboteeah,et al.  Creativity in innovative projects: How teamwork matters , 2007 .

[33]  Anirban Ganguly,et al.  Evaluating agility in corporate enterprises , 2009 .

[34]  Brian Squire,et al.  The application of agile manufacturing for customer value , 2006 .

[35]  Deependra Moitra,et al.  Web services and flexible business processes: towards the adaptive enterprise , 2005, Inf. Manag..

[36]  Hossein Sharifi,et al.  A methodology for achieving agility in manufacturing organisations : An introduction , 1999 .

[37]  Ari-Pekka Hameri,et al.  Engineering data management through different breakdown structures in a large-scale project , 2002 .

[38]  Angappa Gunasekaran,et al.  AGILE MANUFACTURING: ENABLERS AND AN IMPLEMENTATION FRAMEWORK , 1998 .

[39]  S. Vinodh,et al.  Scoring and multi-grade fuzzy assessment of agility in an Indian electric automotive car manufacturing organisation , 2012 .

[40]  Angappa Gunasekaran,et al.  An investigation into the application of agile manufacturing in an aerospace company , 2002 .

[41]  Basim Al-Najjar,et al.  Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making , 2003 .