IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v16y2025i6d10.1007_s13198-025-02816-2.html
   My bibliography  Save this article

Synergy fuzzy profit for the inventory system of health care under inspection and disposal in the medical plant

Author

Listed:
  • C. Sugapriya

    (Queen Mary’s College)

  • V. Lakshmi

    (PERI Institute of Technology)

  • D. Nagarajan

    (Rajalakshmi Institute of Technology
    Multimedia University)

  • S. Karthick

    (Motilal Nehru National Institute of Technology Allahabad)

  • P. Saranyaa

    (Queen Mary’s College)

Abstract

This paper presents a fuzzy inventory model for health care products in a two-level health care supply chain, integrating health care pharmacies and health care companies’ activities to achieve maximum sales and profit. Traditional deterministic and probabilistic methods cannot model intrinsic uncertainties in demand, deterioration, and quality inspection. Current models are not adequate to analyze the impact of defective items on profitability and operational viability in healthcare inventory systems. The model considers production, inspection, and selling at the health care company level (Tier 1), demand and purchase at health care centers (Tier 2). Defective products are identified and scrapped through an inspection policy to provide quality goods to enter supply. The model utilizes fuzzy parameters such as holding costs, ordering costs, and deterioration rates using triangular fuzzification and defuzzification to enhance decision-making in uncertain settings. The paper derives an optimum replenishment policy with a maximum synergy profit and proves it using a numerical example and sensitivity analysis. The results show that the proposed model improves supply chain efficiency by maximizing replenishment strategies. In addition, the framework can be extended to multi-item supply chains, single-buyer multi-service providers, and multi-buyer multi-service providers networks, and therefore it has a broader application in health care.

Suggested Citation

  • C. Sugapriya & V. Lakshmi & D. Nagarajan & S. Karthick & P. Saranyaa, 2025. "Synergy fuzzy profit for the inventory system of health care under inspection and disposal in the medical plant," 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. 16(6), pages 2025-2041, June.
    • Handle: RePEc:spr:ijsaem:v:16:y:2025:i:6:d:10.1007_s13198-025-02816-2
    DOI: 10.1007/s13198-025-02816-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-025-02816-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-025-02816-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Lu, Lu, 1995. "A one-vendor multi-buyer integrated inventory model," European Journal of Operational Research, Elsevier, vol. 81(2), pages 312-323, March.
    2. Tai, Allen H. & Xie, Yue & He, Wanhua & Ching, Wai-Ki, 2019. "Joint inspection and inventory control for deteriorating items with random maximum lifetime," International Journal of Production Economics, Elsevier, vol. 207(C), pages 144-162.
    3. Yao, Jing-Shing & Ouyang, Liang-Yuh & Chang, Hung-Chi, 2003. "Models for a fuzzy inventory of two replaceable merchandises without backorder based on the signed distance of fuzzy sets," European Journal of Operational Research, Elsevier, vol. 150(3), pages 601-616, November.
    4. Yan, Changyuan & Banerjee, Avijit & Yang, Liangbin, 2011. "An integrated production-distribution model for a deteriorating inventory item," International Journal of Production Economics, Elsevier, vol. 133(1), pages 228-232, September.
    5. Xie, Ying & Petrovic, Dobrila & Burnham, Keith, 2006. "A heuristic procedure for the two-level control of serial supply chains under fuzzy customer demand," International Journal of Production Economics, Elsevier, vol. 102(1), pages 37-50, July.
    6. Yao, Jing-Shing & Chiang, Jershan, 2003. "Inventory without backorder with fuzzy total cost and fuzzy storing cost defuzzified by centroid and signed distance," European Journal of Operational Research, Elsevier, vol. 148(2), pages 401-409, July.
    7. Skouri, K. & Konstantaras, I. & Papachristos, S. & Ganas, I., 2009. "Inventory models with ramp type demand rate, partial backlogging and Weibull deterioration rate," European Journal of Operational Research, Elsevier, vol. 192(1), pages 79-92, January.
    8. Akkerman, Fabian & Prak, Dennis & Mes, Martijn, 2025. "Dynamic reordering and inspection for the multi-item Inventory Record Inaccuracy problem," European Journal of Operational Research, Elsevier, vol. 321(2), pages 428-444.
    9. Haijema, Rene, 2014. "Optimal ordering, issuance and disposal policies for inventory management of perishable products," International Journal of Production Economics, Elsevier, vol. 157(C), pages 158-169.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pahr, Alexander & Grunow, Martin & Amorim, Pedro, 2025. "Learning from the aggregated optimum: Managing port wine inventory in the face of climate risks," European Journal of Operational Research, Elsevier, vol. 323(2), pages 671-685.
    2. YazgI Tütüncü, G. & Aköz, Onur & ApaydIn, Aysen & Petrovic, Dobrila, 2008. "Continuous review inventory control in the presence of fuzzy costs," International Journal of Production Economics, Elsevier, vol. 113(2), pages 775-784, June.
    3. Wang, Kung-Jeng & Lin, Y.S. & Yu, Jonas C.P., 2011. "Optimizing inventory policy for products with time-sensitive deteriorating rates in a multi-echelon supply chain," International Journal of Production Economics, Elsevier, vol. 130(1), pages 66-76, March.
    4. K. F. Mary Latha & R. Uthayakumar, 2017. "A two-echelon supply chain coordination with quantity discount incentive for fixed lifetime product in a fuzzy environment," 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 1194-1208, November.
    5. Bakker, Monique & Riezebos, Jan & Teunter, Ruud H., 2012. "Review of inventory systems with deterioration since 2001," European Journal of Operational Research, Elsevier, vol. 221(2), pages 275-284.
    6. Ma, Xueli & Wang, Jian & Bai, Qingguo & Wang, Shuyun, 2020. "Optimization of a three-echelon cold chain considering freshness-keeping efforts under cap-and-trade regulation in Industry 4.0," International Journal of Production Economics, Elsevier, vol. 220(C).
    7. Björk, Kaj-Mikael, 2012. "A multi-item fuzzy economic production quantity problem with a finite production rate," International Journal of Production Economics, Elsevier, vol. 135(2), pages 702-707.
    8. Wong, Bo K. & Lai, Vincent S., 2011. "A survey of the application of fuzzy set theory in production and operations management: 1998-2009," International Journal of Production Economics, Elsevier, vol. 129(1), pages 157-168, January.
    9. Iqbal, Muhammad Waqas & Malik, Asif Iqbal & Ramzan, Muhammad Babar, 2024. "Waste consumption of bio-degradable products through a secondary supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    10. Muhammad Waqas Iqbal & Muhammad Babar Ramzan & Asif Iqbal Malik, 2022. "Food Preservation within Multi-Echelon Supply Chain Considering Single Setup and Multi-Deliveries of Unequal Lot Size," Sustainability, MDPI, vol. 14(11), pages 1-30, June.
    11. Jorge Bolívar & Víctor Cantillo & Pablo Miranda, 2025. "Agri–food supply chain design for perishable products: application to small-scale farmers," Operational Research, Springer, vol. 25(2), pages 1-36, June.
    12. Zhang, Tinglong & Liang, Liang & Yu, Yugang & Yu, Yan, 2007. "An integrated vendor-managed inventory model for a two-echelon system with order cost reduction," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 241-253, September.
    13. Valentini, Giovanni & Zavanella, Lucio, 2003. "The consignment stock of inventories: industrial case and performance analysis," International Journal of Production Economics, Elsevier, vol. 81(1), pages 215-224, January.
    14. Jiafu Tang & Kai-Leung Yung & Iko Kaku & Jianbo Yang, 2008. "The scheduling of deliveries in a production-distribution system with multiple buyers," Annals of Operations Research, Springer, vol. 161(1), pages 5-23, July.
    15. Jung, Jung Woo & Lee, Young Hae, 2010. "Heuristic algorithms for production and transportation planning through synchronization of a serial supply chain," International Journal of Production Economics, Elsevier, vol. 124(2), pages 433-447, April.
    16. Tarhini, Hussein & Karam, Mario & Jaber, Mohamad Y., 2020. "An integrated single-vendor multi-buyer production inventory model with transshipments between buyers," International Journal of Production Economics, Elsevier, vol. 225(C).
    17. Amorim, P. & Günther, H.-O. & Almada-Lobo, B., 2012. "Multi-objective integrated production and distribution planning of perishable products," International Journal of Production Economics, Elsevier, vol. 138(1), pages 89-101.
    18. Wu, Jiang & Chang, Chun-Tao & Teng, Jinn-Tsair & Lai, Kuei-Kuei, 2017. "Optimal order quantity and selling price over a product life cycle with deterioration rate linked to expiration date," International Journal of Production Economics, Elsevier, vol. 193(C), pages 343-351.
    19. Janssen, Larissa & Diabat, Ali & Sauer, Jürgen & Herrmann, Frank, 2018. "A stochastic micro-periodic age-based inventory replenishment policy for perishable goods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 445-465.
    20. Jonas C.P. Yu & Kung-Jeng Wang & Yu-Siang Lin, 2016. "Managing dual warehouses with an incentive policy for deteriorating items," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(3), pages 586-602, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:16:y:2025:i:6:d:10.1007_s13198-025-02816-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.