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A group risk assessment approach for the selection of pharmaceutical product shipping lanes

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  • Faghih-Roohi, Shahrzad
  • Akcay, Alp
  • Zhang, Yingqian
  • Shekarian, Ehsan
  • de Jong, Eelco

Abstract

This paper provides a risk assessment framework to select shipping lanes for pharmaceutical products. The main categories of risks are determined through an algorithm based on yes/no decisions. Then, according to the risk categories, a Failure Mode and Effects Analysis (FMEA) table is proposed for risk assessment of pharmaceutical product shipments and logistics. The evaluations are based on Intuitionistic Fuzzy Numbers (IFNs) to be able to account for the uncertainty in the experts’ judgments. By using an intuitionistic fuzzy hybrid TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach, the evaluated risks of each shipment lane can be scored and prioritized. The proposed TOPSIS-based FMEA approach in the intuitionistic fuzzy environment provides an opportunity to aggregate the risk assessments of different experts in a practically efficient way. Different from the earlier literature, we address risk identification and risk assessment under uncertainty as the two key challenges in group decision making. Our method further provides a framework that integrates the categorization and evaluation of risks with subsequent decision making. A case study of shipping lane selection in the context of air cargo distribution of pharmaceutical products demonstrates a potential implementation of the proposed approach.

Suggested Citation

  • Faghih-Roohi, Shahrzad & Akcay, Alp & Zhang, Yingqian & Shekarian, Ehsan & de Jong, Eelco, 2020. "A group risk assessment approach for the selection of pharmaceutical product shipping lanes," International Journal of Production Economics, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:proeco:v:229:y:2020:i:c:s0925527320301535
    DOI: 10.1016/j.ijpe.2020.107774
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    as
    1. Anna Nagurney & Dong Li, 2015. "A supply chain network game theory model with product differentiation, outsourcing of production and distribution, and quality and price competition," Annals of Operations Research, Springer, vol. 226(1), pages 479-503, March.
    2. Bimal Nepal & Om Prakash Yadav, 2015. "Bayesian belief network-based framework for sourcing risk analysis during supplier selection," International Journal of Production Research, Taylor & Francis Journals, vol. 53(20), pages 6114-6135, October.
    3. Lin, Yi-Kuei & Yeh, Cheng-Ta, 2012. "Multi-objective optimization for stochastic computer networks using NSGA-II and TOPSIS," European Journal of Operational Research, Elsevier, vol. 218(3), pages 735-746.
    4. Hui Zhao & Chuanhui Xiong & Srinagesh Gavirneni & Adam Fein, 2012. "Fee-for-Service Contracts in Pharmaceutical Distribution Supply Chains: Design, Analysis, and Management," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 685-699, October.
    5. Santos, Rachel Barbosa & de Oliveira, Ualison Rébula & Rocha, Henrique Martins, 2018. "Failure mapping for occupational safety management in the film and television industry," International Journal of Production Economics, Elsevier, vol. 203(C), pages 1-12.
    6. Ming Liu & Ding Zhang, 2016. "A dynamic logistics model for medical resources allocation in an epidemic control with demand forecast updating," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(6), pages 841-852, June.
    7. Huang, Jia & Li, Zhaojun(Steven) & Liu, Hu-Chen, 2017. "New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 302-309.
    8. Chemweno, Peter & Pintelon, Liliane & Van Horenbeek, Adriaan & Muchiri, Peter, 2015. "Development of a risk assessment selection methodology for asset maintenance decision making: An analytic network process (ANP) approach," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 663-676.
    9. Büyüközkan, Gülçin & Güleryüz, Sezin & Karpak, Birsen, 2017. "A new combined IF-DEMATEL and IF-ANP approach for CRM partner evaluation," International Journal of Production Economics, Elsevier, vol. 191(C), pages 194-206.
    10. Hu-Chen Liu & Long Liu & Ping Li, 2014. "Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(10), pages 2012-2030, October.
    11. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    12. Galo, Nadya Regina & Calache, Lucas Daniel Del Rosso & Carpinetti, Luiz Cesar Ribeiro, 2018. "A group decision approach for supplier categorization based on hesitant fuzzy and ELECTRE TRI," International Journal of Production Economics, Elsevier, vol. 202(C), pages 182-196.
    13. Saif, Ahmed & Elhedhli, Samir, 2016. "Cold supply chain design with environmental considerations: A simulation-optimization approach," European Journal of Operational Research, Elsevier, vol. 251(1), pages 274-287.
    14. Panos Kouvelis & Yixuan Xiao & Nan Yang, 2015. "PBM Competition in Pharmaceutical Supply Chain: Formulary Design and Drug Pricing," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 511-526, October.
    15. Assid, M. & Gharbi, A. & Dhouib, K., 2015. "Joint production and subcontracting planning of unreliable multi-facility multi-product production systems," Omega, Elsevier, vol. 50(C), pages 54-69.
    16. Hu-Chen Liu & Jian-Xin You & Shouming Chen & Yi-Zeng Chen, 2016. "An integrated failure mode and effect analysis approach for accurate risk assessment under uncertainty," IISE Transactions, Taylor & Francis Journals, vol. 48(11), pages 1027-1042, November.
    17. Settanni, Ettore & Harrington, Tomás Seosamh & Srai, Jagjit Singh, 2017. "Pharmaceutical supply chain models: A synthesis from a systems view of operations research," Operations Research Perspectives, Elsevier, vol. 4(C), pages 74-95.
    18. Athakorn Kengpol & Sopida Tuammee, 2016. "The development of a decision support framework for a quantitative risk assessment in multimodal green logistics: an empirical study," International Journal of Production Research, Taylor & Francis Journals, vol. 54(4), pages 1020-1038, February.
    19. Yan Shang & David Dunson & Jing-Sheng Song, 2017. "Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics," Operations Research, INFORMS, vol. 65(6), pages 1574-1588, December.
    20. Hatem Elleuch & Wafik Hachicha & Habib Chabchoub, 2014. "A combined approach for supply chain risk management: description and application to a real hospital pharmaceutical case study," Journal of Risk Research, Taylor & Francis Journals, vol. 17(5), pages 641-663, May.
    21. Ehsan Shekarian, 2015. "A novel application of the VIKOR method for investigating the effect of education on housing choice," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 24(2), pages 161-183.
    22. Guerrero, W.J. & Yeung, T.G. & Guéret, C., 2013. "Joint-optimization of inventory policies on a multi-product multi-echelon pharmaceutical system with batching and ordering constraints," European Journal of Operational Research, Elsevier, vol. 231(1), pages 98-108.
    23. Liu, Hu-Chen & You, Jian-Xin & Duan, Chun-Yan, 2019. "An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment," International Journal of Production Economics, Elsevier, vol. 207(C), pages 163-172.
    24. Hoda Parvin & Shervin Beygi & Jonathan E. Helm & Peter S. Larson & Mark P. Van Oyen, 2018. "Distribution of Medication Considering Information, Transshipment, and Clustering: Malaria in Malawi," Production and Operations Management, Production and Operations Management Society, vol. 27(4), pages 774-797, April.
    25. Giannakis, Mihalis & Papadopoulos, Thanos, 2016. "Supply chain sustainability: A risk management approach," International Journal of Production Economics, Elsevier, vol. 171(P4), pages 455-470.
    26. Qazi, Abroon & Quigley, John & Dickson, Alex & Ekici, Şule Önsel, 2017. "Exploring dependency based probabilistic supply chain risk measures for prioritising interdependent risks and strategies," European Journal of Operational Research, Elsevier, vol. 259(1), pages 189-204.
    27. Masoumi, Amir H. & Yu, Min & Nagurney, Anna, 2012. "A supply chain generalized network oligopoly model for pharmaceuticals under brand differentiation and perishability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 762-780.
    28. Adam Fleischhacker & Anh Ninh & Yao Zhao, 2015. "Positioning Inventory in Clinical Trial Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 24(6), pages 991-1011, June.
    29. Chen, Xu & Yang, Huan & Wang, Xiaojun, 2019. "Effects of price cap regulation on the pharmaceutical supply chain," Journal of Business Research, Elsevier, vol. 97(C), pages 281-290.
    30. Leroy B. Schwarz & Hui Zhao, 2011. "The Unexpected Impact of Information Sharing on US Pharmaceutical Supply Chains," Interfaces, INFORMS, vol. 41(4), pages 354-364, August.
    31. Samii, Amir-Behzad & Pibernik, Richard & Yadav, Prashant & Vereecke, Ann, 2012. "Reservation and allocation policies for influenza vaccines," European Journal of Operational Research, Elsevier, vol. 222(3), pages 495-507.
    32. Kaan Katircioglu & Robert Gooby & Mary Helander & Youssef Drissi & Pawan Chowdhary & Matt Johnson & Takashi Yonezawa, 2014. "Supply Chain Scenario Modeler: A Holistic Executive Decision Support Solution," Interfaces, INFORMS, vol. 44(1), pages 85-104, February.
    33. Chung, Sung Hoon & Kwon, Changhyun, 2016. "Integrated supply chain management for perishable products: Dynamics and oligopolistic competition perspectives with application to pharmaceuticals," International Journal of Production Economics, Elsevier, vol. 179(C), pages 117-129.
    34. Pishvaee, M.S. & Razmi, J. & Torabi, S.A., 2014. "An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 14-38.
    35. Héctor H. Guerrero & James R. Bradley, 2013. "Failure Modes and Effects Analysis: An Evaluation of Group versus Individual Performance," Production and Operations Management, Production and Operations Management Society, vol. 22(6), pages 1524-1539, November.
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