Skip to main content

Remanufacturing: An Industrial Strategy for Economic Benefits

  • Chapter
  • First Online:

Part of the book series: Management and Industrial Engineering ((MINEN))

Abstract

A successful new product development (NPD) always requires a well-defined, systematically planned, coherently organized, and cost effectively executed strategy along with the objective to satisfy customers. Supply chain management (SCM) is one conquering approach that integrates all resources for these activities into an endeavor that maximizes the positive impact on customers. Therefore, a competent supply chain management (SCM) is well-adequate tangible way to influence customers through their performance regarding time and place. Moreover, reverse logistic supply chain (RLSC) is a closed-loop chain that works as ‘Double Dividend’ for the company in terms of generating economic and environmental benefits. With this study, we have demonstrated that the concept of remanufacturing of products leads to more economical and sustainable benefits for the manufacturer fraternity. To explain the concept, we have proposed a methodological cost modeling framework that is based upon the diffusion of new product wherein; we have considered two different scenarios pertaining to remanufacturing phenomenon. The proposed framework has been validated on real-life sales data set pertaining to automobile industry.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Crawford M, Benedetto AD (2006) New product management, 8th edn. Boston, McGraw Hill

    Google Scholar 

  2. Ragatz GL, Handfield RB, Scannell TV (1997) Success factors for integrating suppliers into new product development. J Prod Innov Manage 14(3):190–202

    Article  Google Scholar 

  3. Bloomberg DJ, Lemay S, Hanna JB (2002) Logistics. Prentice Hall, Upper Saddle River

    Google Scholar 

  4. Sahay BS (ed) (2000) Supply chain management in the twenty-first century. Macmillan, New Delhi

    Google Scholar 

  5. Simchi-Levi D, Kaminsky P, Simchi-Levi E (2000) Designing and managing the supply chain: concepts, strategies, and case studies. Irwin McGraw-Hill, Singapore

    MATH  Google Scholar 

  6. Beamon BM (1998) Supply chain design and analysis: Models and methods. Int J Prod Econ 55(3):281–294

    Article  Google Scholar 

  7. Calantone R, Dröge C (1999) Supply chain flexibility: an empirical study. J Supply Chain Manage 35(2):16–24

    Google Scholar 

  8. Tan KC (2001) A framework of supply chain management literature. Eur J Purch Supply Manage 7(1):39–48

    Article  Google Scholar 

  9. Petersen KJ, Handfield RB, Ragatz GL (2005) Supplier integration into new product development: coordinating product, process and supply chain design. J Operat Manage 23(3):371–388

    Article  Google Scholar 

  10. Primo MA, Amundson SD (2002) An exploratory study of the effects of supplier relationships on new product development outcomes. J Operat Manage 20(1):33–52

    Article  Google Scholar 

  11. Ragatz GL, Handfield RB, Petersen KJ (2002) Benefits associated with supplier integration into new product development under conditions of technology uncertainty. J Bus Res 55(5):389–400

    Article  Google Scholar 

  12. Stevens GC (1989) Integrating the supply chain. Int J Phys Distrib Mater Manage 19(8):3–8

    Article  Google Scholar 

  13. Al-Zu’bi H (2014) What is difference between green supply chain management and sustainable supply chain management? https://www.researchgate.net/post/What_is_difference_between_green_supply_chain_management_and_sustainable_supply_chain_management, Accessed 25 March 2017

  14. Neto JQF, Bloemhof-Ruwaard JM, Van Nunen JA, van Heck E (2008) Designing and evaluating sustainable logistics networks. Int J Prod Econ 111(2):195–208

    Article  Google Scholar 

  15. Chaabane A, Ramudhin A, Paquet M (2012) Design of sustainable supply chains under the emission trading scheme. Int J Prod Econ 135(1):37–49

    Article  Google Scholar 

  16. Min H, Zhou G (2002) Supply chain modeling: past, present and future. Comput Ind Eng 43(1):231–249

    Article  MathSciNet  Google Scholar 

  17. Spekman RE, Spear J, Kamauff J (2002) Supply chain competency: learning as a key component. Supply Chain Manage: An Int J 7(1):41–55

    Article  Google Scholar 

  18. LeBlanc R (2016) Remanufacturing in the circular economy. https://www.thebalance.com/remanufacturing-in-the-circular-economy-2878056, Accessed 25 March 2017

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

    Article  MATH  Google Scholar 

  20. 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 

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

    Google Scholar 

  22. Alumur SA, Nickel S, Saldanha-da-Gama F, Verter V (2012) Multi-period reverse logistics network design. Eur J Oper Res 220(1):67–78

    Article  MATH  MathSciNet  Google Scholar 

  23. Bazan E, Jaber MY, Zanoni S (2016) A review of mathematical inventory models for reverse logistics and the future of its modeling: an environmental perspective. Appl Math Model 40(5):4151–4178

    Article  MathSciNet  Google Scholar 

  24. Kannan D, Diabat A, Alrefaei M, Govindan K, Yong G (2012) A carbon footprint based reverse logistics network design model. Resour Conserv Recycl 67:75–79

    Article  Google Scholar 

  25. Diabat A, Abdallah T, Al-Refaie A, Svetinovic D, Govindan K (2013) Strategic closed-loop facility location problem with carbon market trading. IEEE Trans Eng Manage 60(2):398–408

    Article  Google Scholar 

  26. Rogers EM (2010) Diffusion of innovations. Simon and Schuster

    Google Scholar 

  27. Amin SH, Zhang G (2012) A proposed mathematical model for closed-loop network configuration based on product life cycle. Int J Adv Manuf Technol 58(5–8):791–801

    Article  Google Scholar 

  28. Atasu A, Sarvary M, Van Wassenhove LN (2008) Remanufacturing as a marketing strategy. Manage Sci 54(10):1731–1746

    Article  Google Scholar 

  29. Kapur PK, Sachdeva N, Singh O (2017) Optimal profit for manufacturers in product remanufacturing diffusion dynamics. J Ind Prod Eng, Taylor & Francis, doi:10.1080/21681015.2017.1295405

    Google Scholar 

  30. Sachdeva N, Kapur PK, Singh O (2017) When to start remanufacturing using adopter categorization. Accepted for publication in Quality, IT and Business Operations: Modeling and Optimization, Springer

    Google Scholar 

  31. Bass FM (1969) A new product growth for model consumer durables. Manage Sci 15(5):215–227

    Article  MATH  Google Scholar 

  32. Singh O, Anand A, Kapur PK, Aggrawal D (2012) Consumer behaviour-based innovation diffusion modelling using stochastic differential equation incorporating change in adoption rate. Int J Technol Mark 7(4):346–360

    Article  Google Scholar 

  33. Anand A, Singh O, Aggarwal R, Aggrawal D (2016) Diffusion modeling based on customer’s review and product satisfaction. Int J Technol Diffus (IJTD) 7(1):20–31

    Article  Google Scholar 

  34. Anand A, Agarwal M, Aggrawal D, Singh O (2016) Unified approach for modeling innovation adoption and optimal model selection for the diffusion process. J Adv Manage Res 13(2):154–178

    Article  Google Scholar 

  35. Anand A, Bansal G (2016) Predicting customer’s satisfaction (dissatisfaction) using logistic regression. Int J Math Eng Manage Sci 1(2):75–86

    Google Scholar 

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

    Article  MATH  Google Scholar 

  37. Han SH, Dong MY, Lu SX, Leung SC, Lim MK (2013) Production planning for hybrid remanufacturing and manufacturing system with component recovery. J Oper Res Soc 64(10):1447–1460

    Article  Google Scholar 

  38. Aggrawal D, Anand A, Singh O, Singh J (2014) Profit maximization by virtue of price & warranty length optimization. J High Technol Manage Res 25(1):1–8

    Article  Google Scholar 

  39. Kapur PK, Anand A, Sachdeva N (2014) Profit estimation for a product under warranty: an evaluation based on customer’s expectation and satisfaction. Int J Reliab Qual Saf Eng 21(06):1450029

    Article  Google Scholar 

  40. Team-bhp, http://www.team-bhp.com/. Accessed 03 July 2015

  41. Motorbeam, http://www.motorbeam.com/. Accessed 03 July 2015

  42. MNN (2017) 13 surprising car parts that can be recycled and reused. http://www.mnn.com/lifestyle/eco-tourism/sponsorstory/13-surprising-car-parts-that-can-be-recycled-and-reused. Accessed 11 April 2017

  43. Srinivasan V, Mason CH (1986) Technical note-nonlinear least squares estimation of new product diffusion models. Mark Sci 5(2):169–178

    Article  Google Scholar 

  44. SAS Institute Inc (2004) SAS/ETS User’s Guide Version 9.1. SAS Institute Inc., Cary, NC

    Google Scholar 

Download references

Acknowledgements

The research work presented in this chapter is supported by grants to the first author from Department of Science and Technology (DST) via DST PURSE phase II grant, India.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gunjan Bansal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Cite this chapter

Anand, A., Bansal, G., Agarwal, M., Aggrawal, D. (2018). Remanufacturing: An Industrial Strategy for Economic Benefits. In: Ram, M., Davim, J. (eds) Diagnostic Techniques in Industrial Engineering. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-65497-3_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-65497-3_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65496-6

  • Online ISBN: 978-3-319-65497-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics