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Reverse logistic process control measures for the pharmaceutical industry supply chain

Author

Listed:
  • Sameer Kumar
  • Erin Dieveney
  • Aaron Dieveney

Abstract

Purpose - The aim of this paper is to analyze the pharmaceutical supply chain using the DMAIC process for improvement of the reverse logistics in a recall to avert the possibility of harm to a consumer. Design/methodology/approach - A framework is used for guiding one towards the responsibilities of the different organizations concerning reverse logistics. This is further developed into a Cause and Effect analysis, performed on the supply chain and the hypothesized problem areas. Improvement concepts were then considered in the use of RFID, consistent information systems and transportation carriers to streamline the supply chain and reducing the risk of counterfeit drugs entering the forward supply chain. FMEA is used to understand the failure modes and the severity of the respective failures in the reverse logistics supply chain. Findings - The study yielded interesting and innovative solutions being tested and conceived at the present time, but specific information on the pharmaceutical supply chain was limited. The majority of the reverse logistics for pharmaceuticals is handled through third‐party providers, and therefore this specific knowledge is well guarded, being a core competency. Practical implications - The improvement concepts were found to have managerial impacts such as improved communication flow, and dedicated group(s) to focus on the reverse logistics to remove miscommunication and perception errors. The ability to make improvements, as well as sustain the improvements, will also require significant and consistent management support. Originality/value - The study is a first look at the forward and reverse logistics processes for the pharmaceutical industry supply chain and analysis of potential improvements utilizing DMAIC process. It helps in understanding gaps, suggests measures to reduce them and provides direction for improvements related to the quality of service existing between logistics users, logistics service provider, pharmaceutical firm and customers. The methods of analysis used can also be utilized as a diagnostic tool to understand the weaknesses in the existing supply chain and thus help in identifying the key areas for improvements within the organization.

Suggested Citation

  • Sameer Kumar & Erin Dieveney & Aaron Dieveney, 2009. "Reverse logistic process control measures for the pharmaceutical industry supply chain," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 58(2), pages 188-204, January.
  • Handle: RePEc:eme:ijppmp:v:58:y:2009:i:2:p:188-204
    DOI: 10.1108/17410400910928761
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    Citations

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    Cited by:

    1. Weraikat, Dua & Zanjani, Masoumeh Kazemi & Lehoux, Nadia, 2016. "Two-echelon pharmaceutical reverse supply chain coordination with customers incentives," International Journal of Production Economics, Elsevier, vol. 176(C), pages 41-52.
    2. Ferrer, Geraldo & Heath, Susan K. & Dew, Nicholas, 2011. "An RFID application in large job shop remanufacturing operations," International Journal of Production Economics, Elsevier, vol. 133(2), pages 612-621, October.
    3. Hua, Meina & Lai, Ivan Ka Wai & Tang, Huajun, 2019. "Analysis of advertising and a points-exchange incentive in a reverse supply chain for unwanted medications in households based on Game Theory," International Journal of Production Economics, Elsevier, vol. 217(C), pages 259-268.
    4. Diego Pereira Ribeiro & Ualison Rébula de Oliveira & Aldara da Silva César & Vicente Aprigliano Fernandes, 2021. "Evaluation of Medicine Reverse Logistics Practices in Hospitals," Sustainability, MDPI, vol. 13(6), pages 1-14, March.
    5. Alhamzah Alnoor & Bilal Eneizan & Hebah Zaki Makhamreh & Ibrahim Ali Rahoma, 2019. "The Effect of Reverse Logistics on Sustainable Manufacturing," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 9(1), pages 71-79, January.
    6. Simonetto, Marco & Sgarbossa, Fabio & Battini, Daria & Govindan, Kannan, 2022. "Closed loop supply chains 4.0: From risks to benefits through advanced technologies. A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 253(C).
    7. Hui Huang & Yuyu Li & Bo Huang & Xing Pi, 2015. "An Optimization Model for Expired Drug Recycling Logistics Networks and Government Subsidy Policy Design Based on Tri-level Programming," IJERPH, MDPI, vol. 12(7), pages 1-14, July.

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