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Joint optimization of the marketing and operations functions

Author

Listed:
  • Lotfi Tadj

    (Alfaisal University)

  • Salah Djemili

    (King Saud University)

Abstract

An optimal control model that brings together the marketing function and the operations function in a firm is considered. The Model Predictive Technique (MPC) yields a closed form solution for the optimal production rate and the optimal advertising rate. The importance of the choice of the goal variables for a model of the tracking type is shown. Also, the importance of the gap between the initial values of the state variables and the initial values of the corresponding goal variables, as well as the choice of the solution technique used, are investigated. We find that, to minimize its cost, the firm should start with an initial value as close as possible to the goal value at the beginning of the prediction interval. We also find that Pontryagin’s maximum principle (MP) should be used for small values of the horizon T and MPC should be used for large values of T.

Suggested Citation

  • Lotfi Tadj & Salah Djemili, 2022. "Joint optimization of the marketing and operations functions," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 574-593, June.
    • Handle: RePEc:spr:opsear:v:59:y:2022:i:2:d:10.1007_s12597-021-00549-x
    DOI: 10.1007/s12597-021-00549-x
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    References listed on IDEAS

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    1. Abad, Prakash L & Sweeney, Dennis J, 1982. "Decentralized planning with an interdependent marketing-production system," Omega, Elsevier, vol. 10(4), pages 353-359.
    2. Pietro De Giovanni, 2020. "An optimal control model with defective products and goodwill damages," Annals of Operations Research, Springer, vol. 289(2), pages 419-430, June.
    3. Lu, Wen-Min & Wang, Wei-Kang & Hung, Shiu-Wan & Lu, En-Tzu, 2012. "The effects of corporate governance on airline performance: Production and marketing efficiency perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 529-544.
    4. Sombultawee, Kedwadee & Boon-itt, Sakun, 2018. "Marketing-operations alignment: A review of the literature and theoretical background," Operations Research Perspectives, Elsevier, vol. 5(C), pages 1-12.
    5. Chen, Liang-Tu, 2014. "Optimal dynamic policies for integrated production and marketing planning in business-to-business marketplaces," International Journal of Production Economics, Elsevier, vol. 153(C), pages 46-53.
    6. Robert Alan Leitch, 1974. "Marketing Strategy and the Optimal Production Schedule," Management Science, INFORMS, vol. 21(3), pages 302-312, November.
    7. Abhijit Upasani & Reha Uzsoy, 2008. "Incorporating manufacturing lead times in joint production-marketing models: A review and some future directions," Annals of Operations Research, Springer, vol. 161(1), pages 171-188, July.
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