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Safety stock management in a supply chain model with waiting time and price discount dependent backlogging rate in stochastic environment

Author

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  • Sumon Sarkar

    (Jadavpur University)

  • Bibhas C. Giri

    (Jadavpur University)

Abstract

In today’s dynamic global economy, with highly oscillated demand for any product, safety stock and lead-time management have become even more challenging. In this paper, we develop an integrated supply chain model under continuous-review inventory policy where the lead-time demand is uncertain and the lead-time consists of two components: production time and transportation time; the production time being dependent on ordered quantity and the transportation time being in a range between minimum and normal durations which can be crashed to minimum duration with some additional investment. The unsatisfied demands are partially backlogged with the backlogging parameter being dependent on the time the customers wait before receiving the item. The buyer provides a certain range of price discount to increase the backorder rate. Unlike the previous research, this study considers that the safety factor for the first shipment is different from the rest of the shipments. The model is formulated to find the optimal solution for order quantity, safety factors, price discount, transportation time, and the number of shipments from the vendor to the buyer so that the joint total cost attains the minimum value. Some theoretical results are derived to demonstrate the existence and uniqueness of the optimal solution. It is seen from the numerical study that lead-time reduction is more profitable when the backorder rate depends on both price discount and lead-time.

Suggested Citation

  • Sumon Sarkar & Bibhas C. Giri, 2022. "Safety stock management in a supply chain model with waiting time and price discount dependent backlogging rate in stochastic environment," Operational Research, Springer, vol. 22(2), pages 917-946, April.
  • Handle: RePEc:spr:operea:v:22:y:2022:i:2:d:10.1007_s12351-020-00587-1
    DOI: 10.1007/s12351-020-00587-1
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    References listed on IDEAS

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    1. Glock, C. H. & Ries, J. M., 2013. "Reducing lead-time risk through multiple sourcing: the case of stochastic demand and variable lead-time (angenommen)," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57810, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. He, Qidong & Wang, Nengmin & Yang, Zhen & He, Zhengwen & Jiang, Bin, 2019. "Competitive collection under channel inconvenience in closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 275(1), pages 155-166.
    3. Glock, C. H. & Rekik, Y. & Ries, J. M., 2020. "A coordination mechanism for supply chains with capacity expansions and order-dependent lead times," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118935, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Glock, C. H., 2012. "Lead time reduction strategies in a single-vendor-single-buyer integrated inventory model with lot size-dependent lead times and stochastic demand," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57816, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Ouyang, Liang-Yuh & Wu, Kun-Shan & Ho, Chia-Huei, 2004. "Integrated vendor-buyer cooperative models with stochastic demand in controllable lead time," International Journal of Production Economics, Elsevier, vol. 92(3), pages 255-266, December.
    6. Pan, Jason Chao-Hsien & Hsiao, Yu-Cheng, 2005. "Integrated inventory models with controllable lead time and backorder discount considerations," International Journal of Production Economics, Elsevier, vol. 93(1), pages 387-397, January.
    7. Ben-Daya, M. & Hariga, M., 2004. "Integrated single vendor single buyer model with stochastic demand and variable lead time," International Journal of Production Economics, Elsevier, vol. 92(1), pages 75-80, November.
    8. Fangruo Chen, 1998. "Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand Information," Management Science, INFORMS, vol. 44(12-Part-2), pages 221-234, December.
    9. Glock, Christoph H., 2012. "Lead time reduction strategies in a single-vendor–single-buyer integrated inventory model with lot size-dependent lead times and stochastic demand," International Journal of Production Economics, Elsevier, vol. 136(1), pages 37-44.
    10. Tiwari, Sunil & Kazemi, Nima & Modak, Nikunja Mohan & Cárdenas-Barrón, Leopoldo Eduardo & Sarkar, Sumon, 2020. "The effect of human errors on an integrated stochastic supply chain model with setup cost reduction and backorder price discount," International Journal of Production Economics, Elsevier, vol. 226(C).
    11. Hardik N. Soni & Kamlesh A. Patel, 2014. "Optimal policies for vendor-buyer inventory system involving defective items with variable lead time and service level constraint," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 6(3), pages 316-343.
    12. Mou, Qiong & Cheng, Yunlong & Liao, Huchang, 2017. "A note on “lead time reduction strategies in a single-vendor-single-buyer integrated inventory model with lot size-dependent lead times and stochastic demand”," International Journal of Production Economics, Elsevier, vol. 193(C), pages 827-831.
    13. M A Hariga, 2000. "Setup cost reduction in (Q, r) policy with lot size, setup time and lead-time interactions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(11), pages 1340-1345, November.
    14. Mehmood Khan & Matloub Hussain & Leopoldo Eduardo Cárdenas-Barrón, 2017. "Learning and screening errors in an EPQ inventory model for supply chains with stochastic lead time demands," International Journal of Production Research, Taylor & Francis Journals, vol. 55(16), pages 4816-4832, August.
    15. Glock, Christoph H. & Rekik, Yacine & Ries, Jörg M., 2020. "A coordination mechanism for supply chains with capacity expansions and order-dependent lead times," European Journal of Operational Research, Elsevier, vol. 285(1), pages 247-262.
    16. Hsiao, Yu-Cheng, 2008. "A note on integrated single vendor single buyer model with stochastic demand and variable lead time," International Journal of Production Economics, Elsevier, vol. 114(1), pages 294-297, July.
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