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International Conference on Dynamics in Logistics

LDIC 2018: Dynamics in Logistics pp 125–136Cite as

Mathematical Modeling for Integrating Production-Routing-Inventory Perishable Goods: A Case Study of Blood Products in Iranian Hospitals

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Part of the book series: Lecture Notes in Logistics ((LNLO))

Abstract

In this study, a robust mathematical model for the integrated problem of production, inventory, and routing of uncertain perishable goods is presented in a network including a producer and a group of retailers in which transfer among retailers is for controlling the uncertainty of customer demands. Since the mentioned problem is NP-Hard, an innovative solution algorithm is suggested for it that leads us to the best solution with the best change in the vehicle routes in every stage of search. Finally, the suggested algorithm is done on the available data in the literature and a real case study and the results show high efficiency of this algorithm regarding time and quality of answers.

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References

  • Adulyasak, Y., Cordeau, J.F., Jans, R.: The production routing problem: a review of formulations and solution algorithms. Comput. Oper. Res. 55, 141–152 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  • Broekmeulen, R.A., van Donselaar, K.H.: A heuristic to manage perishable inventory with batch ordering, positive lead-times, and time-varying demand. Comput. Oper. Res. 36(11), 3013–3018 (2009)

    Article  MATH  Google Scholar 

  • Civelek, I., Karaesmen, I., Scheller-Wolf, A.: Blood platelet inventory management with protection levels. Eur. J. Oper. Res. 243(3), 826–838 (2015)

    Article  MATH  Google Scholar 

  • Coelho, L.C., Laporte, G.: Optimal joint replenishment, delivery and inventory management policies for perishable products. Comput. Oper. Res. 47, 42–52 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  • Dillon, M., Oliveira, F., Abbasi, B.: A two-stage stochastic programming model for inventory management in the blood supply chain. Int. J. Prod. Econ. 187, 27–41 (2017)

    Article  Google Scholar 

  • Farahani, P., Grunow, M., Günther, H.O.: Integrated production and distribution planning for perishable food products. Flex. Serv. Manuf. J. 24(1), 28–51 (2012)

    Article  Google Scholar 

  • Chen, H.K., Hsueh, C.F., Chang, M.S.: Production scheduling and vehicle routing with time windows for perishable food products. Comput. Oper. Res. 36(7), 2311–2319 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  • Gunpinar, S., Centeno, G.: Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals. Comput. Oper. Res. 54, 129–141 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  • Hemmelmayr, V., Doerner, K.F., Hartl, R.F., Savelsbergh, M.W.: Delivery strategies for blood products supplies. OR Spectr. 31(4), 707–725 (2009)

    Article  MATH  Google Scholar 

  • Huang, S.H., Lin, P.C.: A modified ant colony optimization algorithm for multi-item inventory routing problems with demand uncertainty. Transp. Res. Part E: Logist. Transp. Rev. 46(5), 598–611 (2010)

    Article  MathSciNet  Google Scholar 

  • Ivanov, D., Rozhkov, M.: Coordination of production and ordering policies under capacity disruption and product write-off risk: an analytical study with real-data based simulations of a fast moving consumer goods company. Ann. Oper. Res. 1–21 (2017). https://doi.org/10.1007/s10479-017-2643-8

  • Lang, J.C.: Blood bank inventory control with transshipments and substitutions. In: Production and Inventory Management with Substitutions, pp. 205–226. Springer, Heidelberg (2010)

    Google Scholar 

  • Duan, Q., Liao, T.W.: A new age-based replenishment policy for supply chain inventory optimization of highly perishable products. Int. J. Prod. Econ. 145(2), 658–671 (2013)

    Article  Google Scholar 

  • Lefever, W., Hadj-Hamou, K., Aghezzaf, E.H.: Robust inventory routing problem with variable travel times. In: 16ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, ROADEF 2015 (2015)

    Google Scholar 

  • Lowalekar, H., Ravi, R.R.: Revolutionizing blood bank inventory management using the TOC thinking process: an Indian case study. Int. J. Prod. Econ. 186, 89–122 (2017)

    Article  Google Scholar 

  • Seyedhosseini, S.M., Ghoreyshi, S.M.: An integrated model for production and distribution planning of perishable products with inventory and routing considerations. Math. Probl. Eng. 2014, 1–11 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  • Sokol, C.Z.G.N.J., Papageorgiou, M.S.C.D.: Robust inventory routing with flexible time window allocation. Working paper (2015)

    Google Scholar 

  • Solyalı, O., Cordeau, J.F., Laporte, G.: Robust inventory routing under demand uncertainty. Transp. Sci. 46(3), 327–340 (2012)

    Article  Google Scholar 

  • Zu, L., Li, W., Kurz, M.E.: Integrated production and distribution problem with pickup and delivery and multiple trips. In: Proceedings of the 2014 Industrial Engineering Research Conference (2014)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Ayad Hendalianpour

Authors
  1. Ayad Hendalianpour
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Correspondence to Ayad Hendalianpour .

Editor information

Editors and Affiliations

  1. Fachbereich 4 - Produktionstechnik, Universität Bremen, Bremen, Germany

    Michael Freitag

  2. Fachbereich 7 - Wirtschaftswissenschaft, Universität Bremen, Bremen, Bremen, Germany

    Herbert Kotzab

  3. Fachbereich 4 - Produktionstechnik, Universität Bremen, Bremen, Germany

    Jürgen Pannek

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Hendalianpour, A. (2018). Mathematical Modeling for Integrating Production-Routing-Inventory Perishable Goods: A Case Study of Blood Products in Iranian Hospitals. In: Freitag, M., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. LDIC 2018. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-74225-0_16

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  • DOI: https://doi.org/10.1007/978-3-319-74225-0_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74224-3

  • Online ISBN: 978-3-319-74225-0

  • eBook Packages: EngineeringEngineering (R0)

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