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Methods of Modern Aircraft Structural Health Monitoring and Diagnostics of Technical State Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Remanufacturing: An Industrial Strategy for Economic Benefits

Authors : Adarsh Anand, Gunjan Bansal, Mohini Agarwal, Deepti Aggrawal

Published in: Diagnostic Techniques in Industrial Engineering

Publisher: Springer International Publishing

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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.

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Literature
1.
Crawford M, Benedetto AD (2006) New product management, 8th edn. Boston, McGraw Hill
2.
Ragatz GL, Handfield RB, Scannell TV (1997) Success factors for integrating suppliers into new product development. J Prod Innov Manage 14(3):190–202CrossRef
3.
Bloomberg DJ, Lemay S, Hanna JB (2002) Logistics. Prentice Hall, Upper Saddle River
4.
Sahay BS (ed) (2000) Supply chain management in the twenty-first century. Macmillan, New Delhi
5.
Simchi-Levi D, Kaminsky P, Simchi-Levi E (2000) Designing and managing the supply chain: concepts, strategies, and case studies. Irwin McGraw-Hill, SingaporeMATH
6.
Beamon BM (1998) Supply chain design and analysis: Models and methods. Int J Prod Econ 55(3):281–294CrossRef
7.
Calantone R, Dröge C (1999) Supply chain flexibility: an empirical study. J Supply Chain Manage 35(2):16–24
8.
Tan KC (2001) A framework of supply chain management literature. Eur J Purch Supply Manage 7(1):39–48CrossRef
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):371–388CrossRef
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):33–52CrossRef
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):389–400CrossRef
12.
Stevens GC (1989) Integrating the supply chain. Int J Phys Distrib Mater Manage 19(8):3–8CrossRef
13.
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):195–208CrossRef
15.
Chaabane A, Ramudhin A, Paquet M (2012) Design of sustainable supply chains under the emission trading scheme. Int J Prod Econ 135(1):37–49CrossRef
16.
17.
Spekman RE, Spear J, Kamauff J (2002) Supply chain competency: learning as a key component. Supply Chain Manage: An Int J 7(1):41–55CrossRef
18.
19.
Savaskan RC, Bhattacharya S, Van Wassenhove LN (2004) Closed-loop supply chain models with product remanufacturing. Manage Sci 50(2):239–252CrossRefMATH
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):209–221CrossRef
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
22.
Alumur SA, Nickel S, Saldanha-da-Gama F, Verter V (2012) Multi-period reverse logistics network design. Eur J Oper Res 220(1):67–78CrossRefMATHMathSciNet
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):4151–4178CrossRefMathSciNet
24.
Kannan D, Diabat A, Alrefaei M, Govindan K, Yong G (2012) A carbon footprint based reverse logistics network design model. Resour Conserv Recycl 67:75–79CrossRef
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):398–408CrossRef
26.
Rogers EM (2010) Diffusion of innovations. Simon and Schuster
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):791–801CrossRef
28.
Atasu A, Sarvary M, Van Wassenhove LN (2008) Remanufacturing as a marketing strategy. Manage Sci 54(10):1731–1746CrossRef
29.
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
31.
Bass FM (1969) A new product growth for model consumer durables. Manage Sci 15(5):215–227CrossRefMATH
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):346–360CrossRef
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):20–31CrossRef
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):154–178CrossRef
35.
Anand A, Bansal G (2016) Predicting customer’s satisfaction (dissatisfaction) using logistic regression. Int J Math Eng Manage Sci 1(2):75–86
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):88–100CrossRefMATH
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):1447–1460CrossRef
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):1–8CrossRef
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):1450029CrossRef
40.
41.
42.
43.
Srinivasan V, Mason CH (1986) Technical note-nonlinear least squares estimation of new product diffusion models. Mark Sci 5(2):169–178CrossRef
44.
SAS Institute Inc (2004) SAS/ETS User’s Guide Version 9.1. SAS Institute Inc., Cary, NC
Metadata
Title
Remanufacturing: An Industrial Strategy for Economic Benefits
Authors
Adarsh Anand
Gunjan Bansal
Mohini Agarwal
Deepti Aggrawal
Copyright Year
2018
Book
Diagnostic Techniques in Industrial Engineering

Print ISBN: 978-3-319-65496-6

Electronic ISBN: 978-3-319-65497-3

Copyright Year: 2018

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

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