Analysis of the critical success factors of automotive engine remanufacturing in India

Abstract

Extension of product's useful life through product recovery options can help to reduce the consumption of natural resource and environmental pollution. Remanufacturing operation is considered as the most suitable product recovery option for automotive parts. The objective of this paper is to identify the barriers and the critical success factors in automotive engine remanufacturing. A case study is carried out in an automotive engine remanufacturing plant, situated in the south-western part of India. In this case study, the strategic, tactical and operational characteristics of the remanufacturing process are explored, what are the barriers they have faced while remanufacturing and to overcome those barriers, what strategies they have adopted are also analyzed. A fuzzy technique for order performance by similarity to ideal solutions (TOPSIS) is used to identify the critical success factor to overcome the roadblocks of remanufacturing. As this study is directed by the experts' opinion from the remanufacturing plant which proves its practical implication. This case study is also useful for the other OEM remanufacturers in India.

A Review of Supply Chain Uncertainty Management in the End-of-Life Vehicle Industry

“…As presented in Table 4, Govindan et al [94] identified the uncertainties of production and operations in ELV remanufacturing, which are crucial obstacles in this industry. Besides that, Chakraborty et al [95] investigated the uncertainties of production and operations in engine remanufacturing. Liao et al [96] investigated the uncertainties in engine remanufacturing, specifically uncertainties in relation to customer demand and profit acquisition in terms of quality and quantity.…”

“…Most of the previous studies adopted quantitative techniques as their uncertainty coping mechanism. Based on the findings in Table 4, several studies used MCDM in their studies and applied methods such as the combination of fuzzy analytical hierarchy process (FAHP) and fuzzy TOPSIS (FTOPSIS) [114], FAHP [103], FTOPSIS [95], the combination of FAHP and fuzzy grey relation analysis and technique for order performance by similarity to ideal solution (G-TOPSIS) [97], the mixed method of interval triangular fuzzy numbers type-2 and modified ELECTRE [104], analytical hierarchy process (AHP) [118], and the combination of data envelopment analysis (DEA), TOPSIS, and ELECTRE [106].…”

Public Awareness of Remanufactured Products in Yangtze River Delta of China: Present Status, Problems and Recommendations

“…Owing to technology innovation and mass industrial production, new products have burgeoned around the world, generating many waste products, and severely affecting the environment [ 1 , 2 , 3 , 4 , 5 ]. Confronting the situation, remanufacturing, which involves a series of processes that restore end-of-life products, parts or components, and returns them back to as-new conditions, has become a global strategy to deal with the massive amount of scrapped products [ 6 , 7 , 8 , 9 ]. The scrapped products processed by remanufacturing are referred as “Remanufactured Products” which can match the same properties and performance of the original ones [ 10 , 11 , 12 ].…”