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An economic production and remanufacturing model with learning effects

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  • Jaber, Mohamad Y.
  • El Saadany, Ahmed M.A.

Abstract

Managing inventory in reverse logistics has been receiving much attention in recent years. One inventory problem that has been of interest to researchers is the production and remanufacturing model, where used items are collected and remanufactured to satisfy customer demand. The available models in the literature do not discuss the learning effects in production and remanufacturing processes. This may not be true in industries where labour costs and learning costs are expensive. By modelling these learning effects, management may use established learning models to better utilize capacity, manage inventories, and coordinate production and distribution throughout the chain. This paper extends the production, remanufacture, and waste disposal model by assuming learning to occur in both production and remanufacturing processes. However, this paper also assumes that improvements due to learning require capital investment. Mathematical models are developed, numerical examples are provided, and results are discussed.

Suggested Citation

  • Jaber, Mohamad Y. & El Saadany, Ahmed M.A., 2011. "An economic production and remanufacturing model with learning effects," International Journal of Production Economics, Elsevier, vol. 131(1), pages 115-127, May.
  • Handle: RePEc:eee:proeco:v:131:y:2011:i:1:p:115-127
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    Cited by:

    1. Trappey, Amy J.C. & Trappey, Charles V. & Liu, Penny H.Y. & Lin, Lee-Cheng & Ou, Jerry J.R., 2013. "A hierarchical cost learning model for developing wind energy infrastructures," International Journal of Production Economics, Elsevier, vol. 146(2), pages 386-391.
    2. B. C. Giri & M. Masanta, 2022. "A closed-loop supply chain model with uncertain return and learning-forgetting effect in production under consignment stock policy," Operational Research, Springer, vol. 22(2), pages 947-975, April.
    3. Tseng-Fung Ho & Chi-Chung Lin & Chih-Ling Lin, 2020. "Determining the Optimal Inventory and Number of Shipments for a Two-Resource Supply Chain with Correlated Demands and Remanufacturing Products Allowing Backorder," Mathematics, MDPI, vol. 8(4), pages 1-16, April.
    4. El Saadany, Ahmed M.A. & Jaber, Mohamad Y. & Bonney, Maurice, 2013. "How many times to remanufacture?," International Journal of Production Economics, Elsevier, vol. 143(2), pages 598-604.
    5. Bimal Kumar Mawandiya & J. K. Jha & Jitesh J. Thakkar, 2020. "Optimal production-inventory policy for closed-loop supply chain with remanufacturing under random demand and return," Operational Research, Springer, vol. 20(3), pages 1623-1664, September.
    6. Nasr, Walid W. & Jaber, Mohamad Y., 2019. "Supplier development in a two-level lot sizing problem with non-conforming items and learning," International Journal of Production Economics, Elsevier, vol. 216(C), pages 349-363.
    7. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    8. Imre Dobos & Barbara Gobsch & Nadezhda Pakhomova & Grigory Pishchulov & Knut Richter, 2013. "Design of contract parameters in a closed-loop supply chain," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(4), pages 713-727, December.
    9. Taleizadeh, Ata Allah & Moshtagh, Mohammad Sadegh, 2019. "A consignment stock scheme for closed loop supply chain with imperfect manufacturing processes, lost sales, and quality dependent return: Multi Levels Structure," International Journal of Production Economics, Elsevier, vol. 217(C), pages 298-316.
    10. S. Malolan & M. Mathirajan & M. K. Tiwari, 2020. "A methodology for determining the optimal reverse flow capacities and the breakeven period for a multi products-component remanufacturing problem of an OEM," Operations Management Research, Springer, vol. 13(3), pages 233-248, December.
    11. Hazen, Benjamin T. & Overstreet, Robert E. & Jones-Farmer, L. Allison & Field, Hubert S., 2012. "The role of ambiguity tolerance in consumer perception of remanufactured products," International Journal of Production Economics, Elsevier, vol. 135(2), pages 781-790.
    12. Lucas Dias Condeixa & Pierry Silva & Diego Moah & Brenda Farias & Adriana Leiras, 2022. "Evaluating cost impacts on reverse logistics using an Economic Order Quantity (EOQ) model with environmental and social considerations," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 921-940, September.
    13. Tahirov, Nail & Hasanov, Parviz & Jaber, Mohamad Y., 2016. "Optimization of closed-loop supply chain of multi-items with returned subassemblies," International Journal of Production Economics, Elsevier, vol. 174(C), pages 1-10.
    14. Hwang, Juhwen & Wan, Yat-wah, 2013. "A supplier–retailer supply chain with intermediate storage for batch ordering," International Journal of Production Economics, Elsevier, vol. 142(2), pages 343-352.
    15. Rubayet Karim & Koichi Nakade, 2022. "A Literature Review on the Sustainable EPQ Model, Focusing on Carbon Emissions and Product Recycling," Logistics, MDPI, vol. 6(3), pages 1-16, August.
    16. M. Masanta & B. C. Giri, 2022. "A closed-loop supply chain model with learning effect, random return and imperfect inspection under price- and quality-dependent demand," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 1094-1115, September.
    17. Felix T.S. Chan & Nan Li & S.H. Chung & Mozafar Saadat, 2017. "Management of sustainable manufacturing systems-a review on mathematical problems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1210-1225, February.
    18. Omar, Mohd & Yeo, Ivan, 2014. "A production–repair inventory model with time-varying demand and multiple setups," International Journal of Production Economics, Elsevier, vol. 155(C), pages 398-405.
    19. Anzanello, Michel J. & Fogliatto, Flavio S. & Santos, Luana, 2014. "Learning dependent job scheduling in mass customized scenarios considering ergonomic factors," International Journal of Production Economics, Elsevier, vol. 154(C), pages 136-145.
    20. Lee, Sunghee & Kim, Daeki, 2014. "An optimal policy for a single-vendor single-buyer integrated production–distribution model with both deteriorating and defective items," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 161-170.

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