Evaluation of flexibility for the effective change management of manufacturing organizations

In this paper, we propose selected flexibility measures which can quantify flexibility and eventually integrate it into the change management processes of manufacturing organizations, aiming to increase effectiveness and competitiveness of the European industry. These measures can be utilized either stand-alone or integrated into a change management system to influence the change direction. A classification model supporting flexibility-related aspects is also discussed. A case study presenting a recommended integration of flexibility into a change management process is described. Additionally, a service-oriented architecture on IT level that can be adopted in order to combine the flexibility calculation with the change management is presented. The final objective is to investigate the integration of quantified flexibility indicators into the change management processes of a manufacturing organization.

[1]  C. McLean,et al.  A proposed hierarchical control model for automated manufacturing systems , 1986 .

[2]  Stephen C. Graves,et al.  Process Flexibility in Supply Chains , 2003, Manag. Sci..

[3]  K. Feldmann,et al.  Highly flexible Assembly – Scope and Justification , 2001 .

[4]  George Chryssolouris,et al.  Volume and product flexibility: a case study for a refrigerators producing facility , 2005, 2005 IEEE Conference on Emerging Technologies and Factory Automation.

[5]  Hans-Peter Wiendahl,et al.  Justifying Changeability. A Methodical Approach to Achieving Cost Effectiveness , 2004 .

[6]  Guillaume Bodet Customer satisfaction and loyalty in service: Two concepts, four constructs, several relationships , 2008 .

[7]  Dwayne D. Gremler,et al.  Understanding Relationship Marketing Outcomes , 2002 .

[8]  B. Mathews,et al.  Customer satisfaction: contrasting academic and consumers’ interpretations , 2001 .

[9]  Charles R. McLean,et al.  The Virtual Manufacturing Cell , 1982 .

[10]  Hojung Shin,et al.  Quantifying suppliers' product quality and delivery performance: A sourcing policy decision model , 2009, Comput. Oper. Res..

[11]  George Chryssolouris,et al.  Flexibility and Its Measurement , 1996 .

[12]  George Chryssolouris,et al.  Quantifying the flexibility of a manufacturing system by applying the transfer function , 2007, Int. J. Comput. Integr. Manuf..

[13]  Eberhard Abele,et al.  Measuring Flexibility in Investment Decisions for Manufacturing Systems , 2006 .

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

[15]  Yoram Koren,et al.  Reconfigurable Manufacturing Systems , 2003 .

[16]  Timothy L. Urban Production , Manufacturing and Logistics Establishing delivery guarantee policies , 2009 .

[17]  Amos H. C. Ng,et al.  SIMULATION-BASED DECISION SUPPORT FOR MANUFACTURING SYSTEM LIFE CYCLE MANAGEMENT , 2004 .

[18]  Desheng Dash Wu,et al.  A generic approach to measuring the machine flexibility of manufacturing systems , 2008, Eur. J. Oper. Res..

[19]  Sotiris Makris,et al.  A toolbox approach for flexibility measurements in diverse environments , 2007 .

[20]  George Chryssolouris,et al.  Manufacturing Systems: Theory and Practice , 1992 .

[21]  Stilian Stanev,et al.  Efficient change management for the flexible production of the future , 2008 .

[22]  Hui-Min Huang Intelligent manufacturing system control: reference model and initial implementation , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[23]  C. Grönroos,et al.  The value concept and relationship marketing , 1996 .

[24]  George Chryssolouris,et al.  Oscillator analogy for modelling the manufacturing systems dynamics , 2008 .

[25]  Stilian Stanev,et al.  Flexibility assessment platform for the factory of the future , 2007, 2007 IEEE International Technology Management Conference (ICE).

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