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When to Start Remanufacturing Using Adopter Categorization

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Abstract

Remanufacturing of goods involves taking the product back from the customer so as to use it as a feedstock for manufacturing new products. It provides double benefits of cost and environmental saving to the manufacturer and society, respectively. One of the major challenges faced by original equipment manufacturer (OEM) here is forecasting quantity returned by the customers and when to start remanufacturing. In this paper, we formulate a strategy for OEMs to optimize time to start remanufacturing using the adopter categorization approach as proposed by Roger. We propose an optimization model based on famous Bass diffusion model to depict not only the quantity returned in the remanufacturing process but also the amount of cost saving a manufacturer does with efficient remanufacturing. With data on 11 consumer durable products, we compare product returned under various adopter categorization time point. An application examining the diffusion of these products under remanufacturing scenario is documented to illustrate the usefulness of the proposed strategy.

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References

  1. Aras N, Aksen D (2008) Locating collection centers for distance and incentive dependent returns. Int J Prod Econ 111:316–333

    Article  Google Scholar 

  2. Atasu A, Sarvary M, van Wassenhove LN (2008) Remanufacturing as a marketing strategy. Manag Sci 54(10):1731–1746

    Article  Google Scholar 

  3. Ayres R, Ferrer G, van Leynsseele T (1997) Eco-efficiency, asset recovery and remanufacturing. Eur Manag J 15(5):557–574

    Article  Google Scholar 

  4. Bass F (1969) A new product growth model for consumer durables. Manag Sci 15:215–227

    Article  Google Scholar 

  5. Cobb CW, Douglas, P. H. (1928), A theory of production. Am Econ Rev 18:139–165(Supplement)

    Google Scholar 

  6. Das K, Chowdhury AH (2012) Designing a reverse logistics network for optimal collection, recovery and quality-based product-mix planning. Int J Prod Econ 135(1):209–221

    Article  Google Scholar 

  7. Davis JB (1996) Product stewardship and the coming age of takeback, business and the environment. Cutter Information Corp., Arlington

    Google Scholar 

  8. Debo L, Toktay L, van Wassenhove L (2005) Market segmentation and product technology selection for remanufacturable products. Manag Sci 51(8):1193–1205

    Article  Google Scholar 

  9. Dekker R, Fleischmann M, Inderfurth K, Van Wassenhove LN (eds) (2004) Reverse logistics quantitative models for closed loop supply chains. Springer, Berlin

    Google Scholar 

  10. Dobos (2003) Optimal production-inventory strategies for HMMS-type reverse logistics system. Int J Prod Econ 81:351–360

    Article  Google Scholar 

  11. Flapper SDP, Van Nunen JAEE, Van Wassenhove LN (2005) Managing closed-loop supply chains. Springer, Berlin

    Book  Google Scholar 

  12. Fourt LA, WoodLock JW (1960) Early prediction of market success for new grocery products. J Mark 25:31–38

    Article  Google Scholar 

  13. Geyer R, van Wassenhove LN, Atasu A (2007) The economics of remanufacturing under limited component durability and finite product life cycles. Manag Sci 53(1):88–100

    Article  Google Scholar 

  14. Govindan K, Soleimani H, Kannan D (2014) Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future. Eur J Oper Res 240:603–626

    Article  Google Scholar 

  15. Halldórsson A, Kotzab H, Skjøtt-Larsen T (2009) Supply chain management on the crossroad to sustainability: a blessing or a curse? Logistics Res 1(2):83–94

    Article  Google Scholar 

  16. Kapur PK, Aggarwal AG, Garmabaki AHS, Singh G (2011) Modelling diffusion of successive generations of technology: a general framework. Int J Oper Res Accepted.

    Google Scholar 

  17. Kapur PK, Singh O, Chanda U, Basirzadeh M (2010) Determining adoption pattern with pricing using two dimensional innovation diffusion model. J High Technol Manag Res 21(2):136–146

    Article  Google Scholar 

  18. Kenné JP, Dejax P, Gharbi A (2012) Production planning of a hybrid manufacturing-remanufacturing system under uncertainty within a closed-loop supply chain. Int J Prod Econ 135(1):81–93

    Article  Google Scholar 

  19. Kerr W, Ryan C (2001) Eco-efficiency gains from remanufacturing a case study of photocopier remanufacturing at Fuji Xerox Australia. J Clean Prod 9(1):75–81

    Article  Google Scholar 

  20. Lund RT (1983) Remanufacturing: United States experience and implications for developing nations. World Bank, Washington, DC

    Google Scholar 

  21. Mahajan V, Muller E, Srivastava RK (1990) Determination of adopter categories by using innovation diffusion models. J Market Res 27(1):37–50

    Google Scholar 

  22. Mazhar MI, Kara S, Kaebernick H (2004) Reuse potential of used parts in consumer products: assessment with Weibull analysis, proceedings of the 11th International CIRP life cycle engineering seminar on product life cycle – quality management, June 20–22, 2004, Belgrade, Serbia, pp 211–216

    Google Scholar 

  23. Mazhar MI, Kara S, Kaebernick H (2005) Reusability assessment of components in consumer products: a statistical and condition monitoring data analysis strategy. Proceedings of the 4th Australian LCA conference, Sydney, pp 1–8

    Google Scholar 

  24. Minner S, Kiesmuller G (2012) Dynamic product acquisition in closed loop supply chains. Int J Prod Res 50(11):2836–2851

    Article  Google Scholar 

  25. Norton JA, Bass FM (1987) A diffusion theory model of adoption and substitution for successive generation of high-technology products. Manag Sci 33(9):1069–1086

    Article  Google Scholar 

  26. OECD (2001) Extended producer responsibility: a guidance manual for governments. OECD, Paris

    Google Scholar 

  27. Ompal S, Kapur PK, Sachdeva N, Bibhu V (2014) Innovation diffusion models incorporating time lag between innovators and imitators adoption. Presented at ICRITO’ 2014, IEEE Xplore. doi:331109/ICRITO.2014.7014710

  28. Rahman S, Subramanian N (2012) Factors for implementing end-of-life computer recycling operations in reverse supply chains. Int J Prod Econ 140:239–248

    Article  Google Scholar 

  29. Ray S, Boyaci T, Aras N (2005) Optimal prices and trade-in rebates for durable, remanufacturable products. Manuf Ser Oper Manag 7:208–288

    Article  Google Scholar 

  30. Rogers EM (1962) Diffusion of innovations, 5th edn. The Press, New York

    Google Scholar 

  31. Sachdeva N, Kapur PK, Singh O (2016) An innovation diffusion model for consumer durables with three parameters. J Manag Analytics. doi:http://dx.doi.org/10.1080/23270012.2016.1197052

  32. Savaskan RC, Bhattacharya S, van Wassenhove LN (2004) Closed-loop supply chain models with product remanufacturing. Manag Sci 50(2):239–252

    Article  Google Scholar 

  33. Toffel MW (2003) Closing the loop: product take-back regulations and their strategic implications. Int J Corp Sustain 10(9):161–173

    Google Scholar 

  34. Wilson LO, Norton JA (1989) Optimal entry Timing for a product line extension. Marketing. Science 8(1):1–17

    Google Scholar 

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Correspondence to Nitin Sachdeva .

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Sachdeva, N., Kapur, P.K., Singh, O. (2018). When to Start Remanufacturing Using Adopter Categorization. In: Kapur, P., Kumar, U., Verma, A. (eds) Quality, IT and Business Operations. Springer Proceedings in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-10-5577-5_35

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