Lessons from seru production on manufacturing competitively in a high cost environment

Abstract High capital and labor costs, coupled with high rates of technological and competitive change, present challenges for manufacturers in developed countries, often spurring them to offshore production to low cost sources. However, the electronics industry provides an exception to this trend, where dynamic, high cost conditions have given rise to a new production system – seru – a cellular assembly approach. Seru evolved as an alternative to lean systems approaches, manifesting important differentiated system design choices that appear to offer promise for manufacturing in dynamic, high-cost markets. This paper reports the results of in-depth, longitudinal case studies of two electronics giants who have implemented seru. The case studies describe seru's fundamental extensions to, and departures from, lean production, agile production, and group technology-based cellular manufacturing. We explain how Sony and Canon have applied seru to improve productivity, quality, and flexibility in ways that have enabled them to remain competitive. In addition, our findings elaborate the theory of swift, even flow, with implications for future research of trade-offs related to production efficiency, responsiveness, and competitiveness in high-cost, technologically dynamic markets.

[1]  J Prince,et al.  Combining lean and agile characteristics: Creation of virtual groups by enhanced production flow analysis , 2003 .

[2]  Roger N. Nagel,et al.  Agility: The ultimate requirement for world‐class manufacturing performance , 1994 .

[3]  E. H. Neilsen,et al.  The subordinate's predicaments. , 1979, Harvard business review.

[4]  Qing Cao,et al.  The impact of alignment between virtual enterprise and information technology on business performance in an agile manufacturing environment , 2005 .

[5]  K. A. Brown,et al.  A socio-technical systems approach to cell design: case study and analysis , 1999 .

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

[7]  K. Eisenhardt Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

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

[9]  Kim B. Clark,et al.  Design Rules: The Power of Modularity , 2000 .

[10]  Nancy Lea Hyer,et al.  Research issues in cellular manufacturing , 1987 .

[11]  Felix T.S. Chan,et al.  Managing warehousing in an agile supply chain environment: an F-AIS algorithm based approach , 2011 .

[12]  P. Adler,et al.  Flexibility Versus Efficiency? a Case Study of Model Changeovers in the Toyota Production System , 1999 .

[13]  Nancy Lea Hyer,et al.  The discipline of real cells , 1999 .

[14]  E. Bottani Profile and enablers of agile companies: An empirical investigation , 2010 .

[15]  Jian Wang,et al.  DESIGN AND OPERATIONS OF SERU MANUFACTURING: CASE STUDY , 2013 .

[16]  F. R. Jacobs,et al.  Impact of work teams: a comparison study of assembly cells and assembly line for a variety of operating environments , 2004 .

[17]  Ikou Kaku,et al.  Seru: The Organizational Extension of JIT for a Super-Talent Factory , 2012, Int. J. Strateg. Decis. Sci..

[18]  Danny J. Johnson,et al.  Converting assembly lines to assembly cells at sheet metal products: insights on performance improvements , 2005 .

[19]  John P. Shewchuk,et al.  Agile manufacturing: One size does not fit all , 1998, Strategic Management of the Manufacturing Value Chain.

[20]  Mei Li,et al.  Qualitative case studies in operations management: Trends, research outcomes, and future research implications , 2011 .

[21]  Marshall L. Fisher,et al.  Strengthening the Empirical Base of Operations Management , 2007, Manuf. Serv. Oper. Manag..

[22]  Jeff Cox,et al.  The goal : excellence in manufacturing , 1984 .

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

[24]  J. Antonakis,et al.  Could lean production job design be intrinsically motivating? Contextual, configurational, and levels-of-analysis issues , 2006 .

[25]  R. Schmenner,et al.  On theory in operations management , 1998 .

[26]  Ednilson Bernardes,et al.  A theoretical review of flexibility, agility and responsiveness in the operations management literature: Toward a conceptual definition of customer responsiveness , 2009 .

[27]  Rachna Shah,et al.  Defining and developing measures of lean production , 2007 .

[28]  Rajan Suri,et al.  Quick Response Manufacturing , 1998 .

[29]  R. Schonberger Japanese manufacturing techniques : nine hidden lessons simplicity , 1982 .

[30]  C. Hempel Philosophy of Natural Science , 1966 .

[31]  Yong Yin,et al.  The Evolution of Seru Production Systems Throughout Canon , 2008 .

[32]  Carlos Cordón,et al.  An empirical test of the rigid flexibility model , 1998 .

[33]  Anand Nair,et al.  Relationship between just-in-time manufacturing practices and performance: A meta-analytic investigation , 2010 .

[34]  Tyson R. Browning,et al.  RECONCEPTUALIZING THE EFFECTS OF LEAN ON PRODUCTION COSTS WITH EVIDENCE FROM THE F-22 PROGRAM , 2009 .

[35]  A. Kaplan The Conduct of Inquiry: Methodology for Behavioural Science , 1965 .

[36]  Hilary Collins,et al.  Creative Research: The Theory and Practice of Research for the Creative Industries , 2010 .

[37]  Kathryn E. Stecke,et al.  An implementation framework for seru production , 2014, Int. Trans. Oper. Res..

[38]  Ronald G. Askin Contributions to the design and analysis of cellular manufacturing systems , 2013 .

[39]  Rick Dove,et al.  21st Century Manufacturing Enterprise Strategy: An Industry-Led View , 1991 .

[40]  Jan Olhager,et al.  Lean and agile manufacturing: external and internal drivers and performance outcomes , 2009 .

[41]  Wallace J. Hopp,et al.  Factory physics : foundations of manufacturing management , 1996 .

[42]  Samuel Bendahan,et al.  Manufacturing flexibility and performance: bridging the gap between theory and practice , 2007 .

[43]  Soo Wook Kim,et al.  Disentangling leanness and agility: An empirical investigation , 2006 .

[44]  Kathleen M. Eisenhardt,et al.  CROSSROADS - Microfoundations of Performance: Balancing Efficiency and Flexibility in Dynamic Environments , 2010, Organ. Sci..

[45]  Jeffrey K. Liker,et al.  The Toyota way : 14 management principles from the world's greatest manufacturer , 2004 .

[46]  Vittaldas V. Prabhu,et al.  Simulation-based performance comparison between assembly lines and assembly cells with real-time distributed arrival time control system , 2011 .