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A multi-objective model for multi-production and multi-echelon closed-loop pharmaceutical supply chain considering quality concepts: NSGAII approach

Author

Listed:
  • Shiva Moslemi

    (Kharazmi University)

  • Mohammad Hossein Zavvar Sabegh

    (Kharazmi University)

  • Abolfazl Mirzazadeh

    (Kharazmi University)

  • Yucel Ozturkoglu

    (Yasar University)

  • Eric Maass

    (DRM/DFSS Medtronic Inc.)

Abstract

Quality of medical and pharmaceutical products has a key role in healthcare systems such as hospitals for better services to patients. This study proposes a comprehensive multi-objective mathematical model in healthcare supply chain considering quality and green concepts. The proposed model includes three objective functions. The first minimizes total manufacturing costs including transportation; purchasing maintenance, deterioration, setup, recycling, collecting and disposal costs. The second maximizes quality level of production. The third minimizes environmental effects of the products and transportations. The proposed model is complicated because of its nature and listed in the NP-hard. Hence, we use NSGAII approach for solving this model. The numerical example illustrates steps of the solution method. The solution representation for 4 suppliers, 2 recycling centers and 3 productions shows for supplier 1 (1100, 600, 1000) and supplier 2 (1000, 900, 400), recycling center 2 has a good performance and for supplier 3 (700, 500, 800) and supplier 4 (400, 950, 0), recycling center 1 has a good performance. Then, we need to improve the performance of the rest recycling centers per supplier. To measure the capabilities of multi-objective meta-heuristics, we used Number of Pareto solutions, spacing metric and quality metric criteria. Finally, the results show that the proposed algorithm has high quality to solve the model.

Suggested Citation

  • Shiva Moslemi & Mohammad Hossein Zavvar Sabegh & Abolfazl Mirzazadeh & Yucel Ozturkoglu & Eric Maass, 2017. "A multi-objective model for multi-production and multi-echelon closed-loop pharmaceutical supply chain considering quality concepts: NSGAII approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1717-1733, November.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-017-0650-4
    DOI: 10.1007/s13198-017-0650-4
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    Cited by:

    1. Zeinab Sazvar & Mahsa Zokaee & Reza Tavakkoli-Moghaddam & Samira Al-sadat Salari & Sina Nayeri, 2022. "Designing a sustainable closed-loop pharmaceutical supply chain in a competitive market considering demand uncertainty, manufacturer’s brand and waste management," Annals of Operations Research, Springer, vol. 315(2), pages 2057-2088, August.
    2. Yücel Öztürkoğlu, 2020. "A Different Approach to Nurse Scheduling Problem: Lagrangian Relaxation," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 8(2), pages 237-248, December.
    3. Erfan Babaee Tirkolaee & Zahra Dashtian & Gerhard-Wilhelm Weber & Hana Tomaskova & Mehdi Soltani & Nasim Sadat Mousavi, 2021. "An Integrated Decision-Making Approach for Green Supplier Selection in an Agri-Food Supply Chain: Threshold of Robustness Worthiness," Mathematics, MDPI, vol. 9(11), pages 1-30, June.
    4. Shabnam Rekabi & Ali Ghodratnama & Amir Azaron, 2022. "Designing pharmaceutical supply chain networks with perishable items considering congestion," Operational Research, Springer, vol. 22(4), pages 4159-4219, September.

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