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Philips Electronics Synchronizes Its Supply Chain to End the Bullwhip Effect

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Listed:
  • Ton de Kok

    (Department of Technology Management, Technische Universiteit Eindhoven, Den Dolech 2, P.O. Box 513, 5600 MB Eindhoven, The Netherlands)

  • Fred Janssen

    (CQM, Vonderweg 11, P.O. Box 414, 5600 AK Eindhoven, The Netherlands)

  • Jan van Doremalen

    (CQM, Vonderweg 11, P.O. Box 414, 5600 AK Eindhoven, The Netherlands)

  • Erik van Wachem

    (Philips Semiconductors, Prof. Holstlaan 4, 5656 AA Eindhoven, The Netherlands)

  • Mathieu Clerkx

    (Philips Semiconductors, Prof. Holstlaan 4, 5656 AA Eindhoven, The Netherlands)

  • Winfried Peeters

    (Philips Semiconductors, Prof. Holstlaan 4, 5656 AA Eindhoven, The Netherlands)

Abstract

Demand variability increases as one moves up a supply chain. The demand for finished products is less variable than for subassemblies, which is less variable than for individual components. This phenomenon is known as the bullwhip or Forrester effect. It increases inventory unnecessarily and makes managing the capacity of equipment and personnel difficult. In 1999, Philips Semiconductors confirmed substantial bullwhip effects in some of its supply chains and began developing a collaborative-planning process and tool to reduce them. It sought to reduce inventory and increase customer-service levels by integrating its supply chain planning and control with those of its customers. By applying stochastic multiechelon inventory theory, it developed an advanced planning and scheduling system that supports weekly collaborative planning of operations by Philips Semiconductors and one of its customers, Philips Optical Storage. The project has brought substantial savings. A conservative estimate shows minimum yearly savings of around US$5 million from $300 million yearly turnover. More important, Philips Optical Storage now has a more flexible and reliable supplier that can virtually guarantee quantities and delivery times. Philips Semiconductor is rolling out its new approach to other customers.

Suggested Citation

  • Ton de Kok & Fred Janssen & Jan van Doremalen & Erik van Wachem & Mathieu Clerkx & Winfried Peeters, 2005. "Philips Electronics Synchronizes Its Supply Chain to End the Bullwhip Effect," Interfaces, INFORMS, vol. 35(1), pages 37-48, February.
  • Handle: RePEc:inm:orinte:v:35:y:2005:i:1:p:37-48
    DOI: 10.1287/inte.1040.0116
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    References listed on IDEAS

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    1. de Kok, Ton G. & Visschers, Jeremy W. C. H., 1999. "Analysis of assembly systems with service level constraints," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 313-326, March.
    2. van der Heijden, M. C. & Diks, E. B. & de Kok, A. G., 1997. "Stock allocation in general multi-echelon distribution systems with (R, S) order-up-to-policies," International Journal of Production Economics, Elsevier, vol. 49(2), pages 157-174, April.
    3. Akkermans, Henk & Bogerd, Paul & van Doremalen, Jan, 2004. "Travail, transparency and trust: A case study of computer-supported collaborative supply chain planning in high-tech electronics," European Journal of Operational Research, Elsevier, vol. 153(2), pages 445-456, March.
    4. Fleischmann, B. & Meyr, H., 2003. "Planning Hierarchy, Modeling and Advanced Planning Systems," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36714, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Zhou, Li & Disney, Stephen & Towill, Denis R., 2010. "A pragmatic approach to the design of bullwhip controllers," International Journal of Production Economics, Elsevier, vol. 128(2), pages 556-568, December.
    2. Laurent Lim, Lâm & Alpan, Gülgün & Penz, Bernard, 2014. "Reconciling sales and operations management with distant suppliers in the automotive industry: A simulation approach," International Journal of Production Economics, Elsevier, vol. 151(C), pages 20-36.
    3. Li Chen & Hau L. Lee, 2012. "Bullwhip Effect Measurement and Its Implications," Operations Research, INFORMS, vol. 60(4), pages 771-784, August.
    4. Reiner, Gerald & Fichtinger, Johannes, 2009. "Demand forecasting for supply processes in consideration of pricing and market information," International Journal of Production Economics, Elsevier, vol. 118(1), pages 55-62, March.
    5. Roberta Pellegrino & Nicola Costantino & Danilo Tauro, 2020. "Advance Purchase Discounts for Supply Chain Finance System Coordination," Sustainability, MDPI, vol. 12(23), pages 1-20, December.
    6. Fakhrul Hasan & Mary Fiona Ross Bellenstedt & Mohammad Raijul Islam, 2023. "Demand and Supply Disruptions During the Covid-19 Crisis on Firm Productivity," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 87-105, March.
    7. de Kok, Ton & Grob, Christopher & Laumanns, Marco & Minner, Stefan & Rambau, Jörg & Schade, Konrad, 2018. "A typology and literature review on stochastic multi-echelon inventory models," European Journal of Operational Research, Elsevier, vol. 269(3), pages 955-983.
    8. Gautier Stauffer, 2012. "Using the economical order quantity formula for inventory control in one‐warehouse multiretailer systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(3‐4), pages 285-297, April.
    9. Enrique Holgado de Frutos & Juan R Trapero & Francisco Ramos, 2020. "A literature review on operational decisions applied to collaborative supply chains," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-28, March.
    10. Bellantuono, Nicola & Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo & Tang, Christopher S., 2009. "The implications of joint adoption of revenue sharing and advance booking discount programs," International Journal of Production Economics, Elsevier, vol. 121(2), pages 383-394, October.
    11. Qinyun Li & Stephen M. Disney, 2017. "Revisiting rescheduling: MRP nervousness and the bullwhip effect," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1992-2012, April.
    12. Wetzel, Philipp & Hofmann, Erik, 2019. "Supply chain finance, financial constraints and corporate performance: An explorative network analysis and future research agenda," International Journal of Production Economics, Elsevier, vol. 216(C), pages 364-383.
    13. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.
    14. Eruguz, Ayse Sena & Sahin, Evren & Jemai, Zied & Dallery, Yves, 2016. "A comprehensive survey of guaranteed-service models for multi-echelon inventory optimization," International Journal of Production Economics, Elsevier, vol. 172(C), pages 110-125.

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