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On supporting Lean methodologies using constraint-based scheduling

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Abstract

Lean Manufacturing—often simply referred to as “Lean”—is a process management philosophy that aims to improve the way in which products are manufactured. It does this through identifying and removing waste and creating a smooth transition between stages in the production process. To a large extent, it relies on visual and simple mechanical aids to assist in improving manufacturing effectiveness. However, when it comes to combining several aspects of Lean or when dealing with complex environments, quantitative modelling becomes essential to achieve the full benefits of Lean.

In this paper, we show through two detailed case studies how various aspects of Lean can be supported using (constraint-based) scheduling tools. One study concerns a planning support tool to evaluate different Lean initiatives; the other supports the day-to-day scheduling of a complex, Leaned production process

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References

  • Abdulmalek, F. A., & Rajgopal, J. (2007). Analyzing the benefits of lean manufacturing and value stream mapping via simulation: a process sector case study. International Journal of Production Economics, 107, 223–236.

    Article  Google Scholar 

  • Bateman, N. (2002). Sustainability. In Lean enterprise research centre publication (pp. 2–24). Lean Enterpreise Research Centre, Cardiff, UK, April 2002.

  • Bhasin, S., & Burcher, P. (2006). Lean viewed as a philosophy. Journal of Manufacturing Technology Management, 17, 56–72.

    Article  Google Scholar 

  • Bruun, P., & Mefford, R. N. (2004). Lean production and the Internet. International Journal of Production Economics, 89, 247–260.

    Article  Google Scholar 

  • Chance, F., Robinson, J., & Fowler, J. W. (1996). Supporting manufacturing with simulation: model design, development, and deployment. In Proceedings of the 1996 winter simulation conference (pp. 114–121).

  • Cochran, J. K., & Kim, S.-S. (1998). Optimum junction point location and inventory levels in serial hybrid push/pull production systems. International Journal of Production Research, 36(4), 1141–1155.

    Article  Google Scholar 

  • Detty, R. B., & Yingling, J. C. (2000). Quantifying benefits of conversion to lean manufacturing with discrete event simulation: a case study. International Journal of Production Research, 38(2), 429–445.

    Article  Google Scholar 

  • Drickhamer, D. (2002). Manufacturer of automotive climate-control systems follows lean manufacturing map. Reprint from Gale Group, 16 October 2002.

  • Duggan, K. J. (2002). Creating mixed model value streams: Practical lean techniques for building to demand. New York: Productivity Press.

    Google Scholar 

  • Gregory, A. (2004). Running like clockwork. Works Management, 57(2), 14–17.

    Google Scholar 

  • Hodgson, T. J., & Wang, D. (1991a). Optimal hybrid push/pull control strategies for a parallel multistage system: Part I. International Journal of Production Research, 29(6), 1279–1287.

    Article  Google Scholar 

  • Hodgson, T. J., & Wang, D. (1991b). Optimal hybrid push/pull control strategies for a parallel multistage system: Part II. International Journal of Production Research, 29(7), 1453–1460.

    Article  Google Scholar 

  • Hood, S. J., Amamoto, A. E., & Vandenberg, A. T. (1989). A modular structure for a highly detailed model of semiconductor manufacturing. In Proceedings of the 1989 winter simulation conference (pp. 811–817).

  • Irani, S. (1999). Handbook of cellular manufacturing systems. New York: Wiley.

    Book  Google Scholar 

  • Karlson, C., & Ahlstrom, P. (1996). Assessing changes towards lean production. International Journal of Operations and Production Management, 16(1), 2–11.

    Article  Google Scholar 

  • Krafcik, J. (1988). Triumph of the lean production system. Sloan Management Review, 30(1), 41–52.

    Google Scholar 

  • Krishnamurthy, R., & Yauch, C. A. (2007). Leagile manufacturing: a proposed corporate infrastructure. International Journal of Operations and Production Management, 27(6).

  • LePape, C., Couronne, P., Vergamini, D., & Gosselin, V. (1994). Time-versus-capacity compromises in project scheduling. In Proceedings of the thirteenth workshop of the UK planning special interest grouppages (pp. 39–45).

  • Lewis, J. (2001). Set the stage for success. Upholstery Design and Management, 14(9), 1–4.

    Google Scholar 

  • Liker, J. K. (1998). Becoming lean: inside stories of US manufactures. Cambridge: Productivity Press.

    Google Scholar 

  • Liker, K. (2004). The Toyota way: 14 Management principles from the world’s greatest manufacturer. New York: McGraw-Hill.

    Google Scholar 

  • Massaki, I. (1986). Kaizen: the key to Japan’s competitive success. New York: McGraw-Hill.

    Google Scholar 

  • McKellen, C. (2004). Production leveling. Metalworking production. November 2004.

  • Miller, D. J. (1994). The role of simulation in semiconductor logistics. In Proceedings of the 1994 winter simulation conference (pp. 885–891).

  • Papadopoulou, T. C., & Özbayrak, M. (2005). Leanness: Experiences from the journey to date. Journal of Manufacturing Technology Management, 16(7).

  • Parker, V. (2003). Burt’s bees implementation of production processes. Tribune Business News, (1–3), 2–4.

  • Pinedo, M. (2002). Scheduling: theory, algorithms, and systems. New Jersey: Prentice-Hall.

    Google Scholar 

  • Prizinsky, D. (2001). Lincoln looks leaner in its manufacturing process. In Crains Cleveland business (pp. 1–8). April 2001.

  • Ranky, P. G., Subramanyam, M., Caudill, R. J., Limaye, K., & Alli, N. (2003). Dynamic scheduling and line balancing methods, and software tools for lean and reconfigurable disassembly cells and lines. In Proceedings of the IEEE international symposium on electronics and the environment (pp. 234–239).

  • Rea, D. (2002). Following the lean route. Reprint from Gale Group, 20 August 2002.

  • Rother, M., & Shook, J. (1999). Learning to see: Value stream mapping to add value and eliminate MUDA. Brookline: The Lean Enterprise Institute.

    Google Scholar 

  • Rowlands, D., Maxey, J., George, M., & Price, M. (2004). The lean six sigma pocket toolbook: A quick reference guide to 100 tools for improving quality and speed. New York: McGraw-Hill.

    Google Scholar 

  • SAP (2008). SAP lean planning and operations. http://www.sap.com/solutions/manufacturing/lean-planning-and-operations-software/index.epx, retrieved June 23 2008.

  • Schroer, B. J. (2004). Simulation as a tool in understanding the concepts of lean manufacturing. Simulation, 80(3), 171–175.

    Article  Google Scholar 

  • Shah, R., & Ward, P. T. (2003). Lean manufacturing: Context, practice bundles, and performance. Journal of Operations Management, 21(2), 129–149.

    Article  Google Scholar 

  • Siekman, P. (2000). Cessna tackles lean manufacturing. Fortune, 141, 222–231.

    Google Scholar 

  • Strozniak, P. (2001). Toyota alters face of production. Industry Week, 250(11), 46.

    Google Scholar 

  • Trombly, R. (2002). Running lean running strong: lean manufacturing processes lead to a stronger, more efficient business. Reprint from Gale Group, August 2002.

  • van der Krogt, R., & Little, J. (2006). The PDES workbench. In Proceedings of the thirteenth international conference on concurrent engineering: Research and applications (pp. 619–626).

  • van der Krogt, R., Little, J., Pulliam, K., Hanhilammi, S., & Jin, Y. (2007). Scheduling for cellular manufacturing. In Proceedings of the thirteenth international conference on principles and practice of constraint programming (CP-07) (pp. 105–117).

  • Womack, J. P., Jones, D. T., & Roos, D. (1990). The machine that changed the world: The story of lean production. New York: Rawson Associates.

    Google Scholar 

  • Womack, P. J., & Jones, D. T. (1996). Lean thinking: Banish waste and create wealth in your corporation. New York: Simon & Schuster.

    Google Scholar 

  • Wu, C. W., Brown, K. N., & Beck, J. C. (2006). Scheduling with uncertain durations: generating β-robust schedules using constraint programming. In Proceedings of the ICAPS 2006 workshop on constraint satisfaction techniques for planning and scheduling problems (pp. 39–45).

  • Zilberstein, S. (1996). Using anytime algorithms in intelligent systems. AI Magazine, 17(3), 73–83.

    Google Scholar 

  • Zimmer, L. (2000). Get lean to boost profits. In Forming and fabricating. February 2000.

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Correspondence to Roman van der Krogt.

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van der Krogt, R., Geraghty, J., Salman, M.R. et al. On supporting Lean methodologies using constraint-based scheduling. J Sched 13, 301–314 (2010). https://doi.org/10.1007/s10951-009-0144-6

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