Trading off between heijunka and just-in-sequence

The concept of heijunka--controlling the variability of the job arrival sequence to permit higher capacity utilization--plays an integral role in lean production theory. In situations where the customer defines the delivery sequence, however, scheduling production to maximize utilization becomes more challenging and requires a subsequent reordering. The cost of the extra work and space required by this reordering needs to be traded off against the value of the higher utilization. We present the results of a stylized simulation-based model of the two approaches inspired by a BMW engine plant.

[1]  Malou M-Louise Haine,et al.  De Smet L. , 1986 .

[2]  Richard B. Chase,et al.  Operations Management , 2019, CCSP (ISC)2 Certified Cloud Security Professional Official Study Guide, 2nd Edition.

[3]  D. Lambert,et al.  Supply Chain Management: Implementation Issues and Research Opportunities , 1998 .

[4]  S. Mark Young,et al.  Assessing the organizational fit of a just-in-time manufacturing system: Testing selection, interaction and systems models of contingency theory☆ , 1995 .

[5]  Johann Prenninger Neue Anforderungen an eine werksübergreifende Logistik — Innovationen im Bereich der „Logistikkette Motor“ bei BMW , 2001 .

[6]  Simeon John Koshkin Modern materials handling , 1932 .

[7]  Jayant Rajgopal,et al.  Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study , 2007 .

[8]  藤本 隆宏,et al.  The evolution of a manufacturing system at Toyota , 1999 .

[9]  John B. Kidd,et al.  Toyota Production System , 1993 .

[10]  Phillip S. Mitchell Japanese Manufacturing Techniques: Nine Hidden Lessons in Simplicity , 1983 .

[11]  A. Sayer New developments in manufacturing: the just-in-time system , 1986 .

[12]  D. Teece,et al.  DYNAMIC CAPABILITIES AND STRATEGIC MANAGEMENT , 1997 .

[13]  James Rinehart,et al.  Just Another Car Factory , 1997 .

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

[15]  B. Tabrizi,et al.  Defining next-generation products: an inside look. , 1997, Harvard business review.

[16]  Rajan Suri QRM and POLCA: A Winning Combination for Manufacturing Enterprises in the 21st Century , 2003 .

[17]  Hau L. Lee,et al.  Mass Customization at Hewlett-Packard : The Power of Postponement , 1999 .

[18]  Joseph T. Mahoney,et al.  The Evolution of a Manufacturing System at Toyota , 1999 .

[19]  Daniel T. Jones,et al.  The machine that changed the world : based on the Massachusetts Institute of Technology 5-million dollar 5-year study on the future of the automobile , 1990 .

[20]  Peter T. Ward,et al.  Lean manufacturing: context, practice bundles, and performance , 2003 .

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

[22]  John Paul MacDuffie,et al.  After Lean Production: Evolving Employment Practices in the World Auto Industry@@@The Fallacy of Flexibility: Workplace Change in the Queensland Open-Cut Coal Industry@@@Unions in a Contrary World: The Future of the Australian Trade Union Movement , 1998 .

[23]  R. Narasimhan,et al.  Exploring flexibility and execution competencies of manufacturing firms , 2004 .

[24]  Beata Kollberg,et al.  Building a new supply chain position: an exploratory study of companies in the timber housing industry , 2010 .

[25]  M. Cooper,et al.  Supply Chain Postponement and Speculation Strategies: How to choose the right strategy , 1998 .

[26]  P. Hines,et al.  Learning to evolve: A review of contemporary lean thinking , 2004 .

[27]  R. V. Hoek,et al.  The rediscovery of postponement a literature review and directions for research , 2001 .

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

[29]  Ludo Gelders,et al.  Using simulation to evaluate the introduction of a Kanban subsystem within an MRP-controlled manufacturing environment , 1998 .

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

[31]  Ron McLachlin,et al.  Management initiatives and just-in-time manufacturing , 1997 .

[32]  John G. Carlson,et al.  Agility and mixed-model furniture production , 2003 .

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

[34]  J. Liker,et al.  Japanese automakers, U.S. suppliers and supply-chain superiority , 2001 .

[35]  Rajan Suri,et al.  Getting from “just-in-case” to “just-in-time”: Insights from a simple model , 1986 .

[36]  Suzanne de Treville Disruption, learning, and system improvement in just-in-time manufacturing , 1987 .