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Operation Rules: Delivering Customer Value through Flexible Operations

Author

Listed:
  • Simchi-Levi, David

    (MIT)

Abstract

In recent years, management gurus have urged businesses to adopt such strategies as just-in-time, lean manufacturing, offshoring, and frequent deliveries to retail outlets. But today, these much-touted strategies may be risky. Global financial turmoil, rising labor costs in developing countries, and huge volatility in the price of oil and other commodities can disrupt a company’s entire supply chain and threaten its ability to compete. In Operations Rules, David Simchi-Levi identifies the crucial element in a company’s success: the link between the value it provides its customers and its operations strategies. And he offers a set of scientifically and empirically based rules that management can follow to achieve a quantum leap in operations performance. Flexibility, says Simchi-Levi, is the single most important capability that allows firms to innovate in their operations and supply chain strategies. A small investment in flexibility can achieve almost all the benefits of full flexibility. And successful companies do not all pursue the same strategies. Amazon and Wal-Mart, for example, are direct competitors but each focuses on a different market channel and provides a unique customer value proposition--Amazon, large selection and reliable fulfillment; Wal-Mart, low prices--that directly aligns with its operations strategy. Simchi-Levi's rules--regarding such issues as channels, price, product characteristics, value-added service, procurement strategy, and information technology--transform operations and supply chain management from an undertaking based on gut feeling and anecdotes to a science.

Suggested Citation

  • Simchi-Levi, David, 2010. "Operation Rules: Delivering Customer Value through Flexible Operations," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262525151, April.
  • Handle: RePEc:mtp:titles:0262525151
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    Citations

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    Cited by:

    1. Katsoras, Efthymios & Georgiadis, Patroklos, 2022. "An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19," International Journal of Production Economics, Elsevier, vol. 253(C).
    2. David Simchi-Levi & Yehua Wei, 2015. "Worst-Case Analysis of Process Flexibility Designs," Operations Research, INFORMS, vol. 63(1), pages 166-185, February.
    3. Kaut, Michal & Vaagen, Hajnalka & Wallace, Stein W., 2021. "The combined impact of stochastic and correlated activity durations and design uncertainty on project plans," International Journal of Production Economics, Elsevier, vol. 233(C).
    4. David Simchi-Levi & Yehua Wei, 2012. "Understanding the Performance of the Long Chain and Sparse Designs in Process Flexibility," Operations Research, INFORMS, vol. 60(5), pages 1125-1141, October.
    5. Xi Chen & Jiawei Zhang & Yuan Zhou, 2015. "Optimal Sparse Designs for Process Flexibility via Probabilistic Expanders," Operations Research, INFORMS, vol. 63(5), pages 1159-1176, October.
    6. Hasina Imam & Md. Hafizur Rahman & Md. Hazrat Ali, 2022. "Contributions of Green Supply Chain Management on Perceived Firm Performance: An Empirical Investigation of the FMCG Industry in Bangladesh," International Journal of Science and Business, IJSAB International, vol. 11(1), pages 67-82.
    7. Cong Shi & Yehua Wei & Yuan Zhong, 2019. "Process Flexibility for Multiperiod Production Systems," Operations Research, INFORMS, vol. 67(5), pages 1300-1320, September.
    8. Çömez-Dolgan, Nagihan & Dağ, Hilal & Fescioglu-Unver, Nilgun & Şen, Alper, 2023. "Multi-plant manufacturing assortment planning in the presence of transshipments," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1033-1050.
    9. Georgia Perakis & Donald Rosenfield, 2018. "The MIT Leaders for Global Operations Program," Interfaces, INFORMS, vol. 48(3), pages 189-203, June.
    10. Toni Greif & Nikolai Stein & Christoph M. Flath, 2023. "Information Value Analysis for Real-Time Silo Fill-Level Monitoring," Interfaces, INFORMS, vol. 53(4), pages 283-294, July.
    11. Timothy C. Y. Chan & Daniel Letourneau & Benjamin G. Potter, 2022. "Sparse flexible design: a machine learning approach," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 1066-1116, December.
    12. Agarwal, Atul & Giraud-Carrier, François C. & Li, Yuan, 2018. "A mediation model of green supply chain management adoption: The role of internal impetus," International Journal of Production Economics, Elsevier, vol. 205(C), pages 342-358.
    13. Santiago Gallino & Antonio Moreno & Ioannis Stamatopoulos, 2017. "Channel Integration, Sales Dispersion, and Inventory Management," Management Science, INFORMS, vol. 63(9), pages 2813-2831, September.
    14. Chonnikarn (Fern) Jira & Michael W. Toffel, 2013. "Engaging Supply Chains in Climate Change," Manufacturing & Service Operations Management, INFORMS, vol. 15(4), pages 559-577, October.
    15. Saghafian, Soroush & Tomlin, Brian & Biller, Stephan, 2018. "The Internet of Things and Information Fusion: Who Talks to Who?," Working Paper Series rwp18-009, Harvard University, John F. Kennedy School of Government.
    16. Mabel C. Chou & Geoffrey A. Chua & Huan Zheng, 2014. "On the Performance of Sparse Process Structures in Partial Postponement Production Systems," Operations Research, INFORMS, vol. 62(2), pages 348-365, April.
    17. Efthymios Katsoras & Patroklos Georgiadis, 2022. "A Dynamic Analysis for Mitigating Disaster Effects in Closed Loop Supply Chains," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    18. David Simchi-Levi, 2014. "OM Forum —OM Research: From Problem-Driven to Data-Driven Research," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 2-10, February.

    More about this item

    Keywords

    production; operations; management;
    All these keywords.

    JEL classification:

    • J - Labor and Demographic Economics

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