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OR Applications in Pharmaceutical Supply Chain Management

In: Operations Research Applications in Health Care Management

Author

Listed:
  • Abbas Ahmadi

    (Iran University of Science and Technology)

  • Mohammad Mousazadeh

    (University of Tehran)

  • S. Ali Torabi

    (University of Tehran)

  • Mir Saman Pishvaee

    (Iran University of Science and Technology)

Abstract

Sustainable development of a nation greatly depends on the health of individuals. The emergence of the diseases caused by unhealthy lifestyle as well as the growth and aging of the population have faced the pharmaceutical industry with an increasing demand for drugs and the related products over time. This increase in demand has made the pharmaceutical industry as an important and large industry which constitutes a considerable portion of the healthcare expenditures. This sector is grappling with many challenges and inefficiencies in research and development activities, introducing new products, procurement, manufacturing, storage, and distribution affairs. Such issues have resulted in the inability of pharmaceutical companies to satisfy market demand in an efficient while effective manner. These problems alongside the dynamic and complex nature of a pharmaceutical supply chain (PSC) necessitate the employment of efficient optimization techniques to provide these companies with informed decision making by relying on available data. Hence, this chapter aims to identify the prevalent challenges of PSCs at three different decision levels, i.e., long-term (strategic), mid-term (tactical), and short-term (operational) decisions; as well as presenting various ways to deal with such problems. Accordingly, first, the characteristics of a PSC are presented and discussed. In order to provide a tangible perspective for application of Operations Research in PSC, an exhaustive mathematical programming model is presented. Then, a real practical case study is described and investigated and a number of avenues for further research are finally suggested.

Suggested Citation

  • Abbas Ahmadi & Mohammad Mousazadeh & S. Ali Torabi & Mir Saman Pishvaee, 2018. "OR Applications in Pharmaceutical Supply Chain Management," International Series in Operations Research & Management Science, in: Cengiz Kahraman & Y. Ilker Topcu (ed.), Operations Research Applications in Health Care Management, chapter 0, pages 461-491, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-65455-3_18
    DOI: 10.1007/978-3-319-65455-3_18
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    Citations

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    Cited by:

    1. Faraz Salehi & S. Mohammad J. Mirzapour Al-E-Hashem & S. Mohammad Moattar Husseini & S. Hassan Ghodsypour, 2023. "A bi-level multi-follower optimization model for R&D project portfolio: an application to a pharmaceutical holding company," Annals of Operations Research, Springer, vol. 323(1), pages 331-360, April.
    2. Ata Allah Taleizadeh & Elham Haji-Sami & Mahsa Noori-daryan, 2020. "A robust optimization model for coordinating pharmaceutical reverse supply chains under return strategies," Annals of Operations Research, Springer, vol. 291(1), pages 875-896, August.
    3. Firoz Ahmad, 2022. "Interactive neutrosophic optimization technique for multiobjective programming problems: an application to pharmaceutical supply chain management," Annals of Operations Research, Springer, vol. 311(2), pages 551-585, April.
    4. Suhan Wu & Min Luo & Jingxia Zhang & Daoheng Zhang & Lianmin Zhang, 2022. "Pharmaceutical Supply Chain in China: Pricing and Production Decisions with Price-Sensitive and Uncertain Demand," Sustainability, MDPI, vol. 14(13), pages 1-28, June.
    5. Ahmad, Firoz & Alnowibet, Khalid A. & Alrasheedi, Adel F. & Adhami, Ahmad Yusuf, 2022. "A multi-objective model for optimizing the socio-economic performance of a pharmaceutical supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).

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