Table 1 Detailed literature review on... | Emerald Publishing

Table 1

Detailed literature review on reliability analysis in remanufacturing

References	Objective	Pros and cons	Methodology	Application
Kara et al., 2007	To assess the reusability of a reused product by considering the reliability and remaining useful life of the used product	A comparative study is done among the results which are obtained from various methods such as multiple regression analysis, ordinary kriging, universal kriging and artificial intelligence method	A two-stage methodology is developed. In the first stage of the methodology, trend analysis is done to calculate the operating life from the maintenance data and later remaining life is calculated	Electric Motor
Mazhar et al. (2007)	Estimation of remaining useful life of a product	Multiple Regression method is used to represent the behaviour of some parameters over remaining life of a product	Statistical analysis is done in the first phase to check the reusability of the product and in second phase the remaining useful life is calculated by using Multiple regression analysis and Artificial Neuron Network (ANN)	Electric Motor of a Washing Machine
Hu et al. (2014)	Computation of remaining useful life and reliability based on online assessment	Time to remanufacturing of a parts or components is calculated based on the reliability analysis. Remanufacturing decision is taken based on the current state reliability and the predicted reliability at $t + ∆ t$	Support Vector Machine (SVM) is used to evaluate the predicted reliability	Cylindrical roller bearing
Pandey and Thurston (2009)	Evaluation the performance of a remanufactured product	Incorporate experts’ opinion regarding value degradation with the failure rate data	Maximum Entropy Principle	Personal Computer
Jiang et al. (2016)	Optimization of the remanufacturing process which increases the reliability of the remanufacturing process and also minimizes the remanufacturing cost	Different quality levels are considered because the damage levels of the collected core are different. From these different quality level, reliability and cost functions are developed	Entropy weight calculation and Genetic Algorithm (GA)	Lathe Bed
Shu and Flowers (1998)	Estimation of the Life Cycle Cost (LCC) in reusable environment	Replacement parts have different failure density from the original parts	Simulation	Mechanical system
Parkinson and Thompson (2003)	Identification of the complications in processing and planning in remanufacturing by using a systematic approach	A risk priority number is used to assess the risk factor in each remanufacturing process and thereafter cost benefit analysis is done	Failure Mode and Effect Analysis (FMEA)	Air- conditioning unit and Turbo Charger
Agarwal et al. (2012)	Maximization of the profit in a reverse supply chain	Component or part reliability is considered to develop an incentive scheme for the customers	Particle Swarm Optimization (PSO)	Electronic Calculator
Diallo et al. (2014)	To analyse and study the characteristics and shape of mixture failure rate analysis in a remanufactured product and also developed an optimal cost-reliability model	Three types of failure rate such as increasing failure rate, rational failure rate and power law type failure rate are considered here But, the failure rate of reconditioned and new part follows same distribution	Mathematical Analysis	Unknown
Kleyner and Sandborn (2008)	Development of a life cycle based model that incorporates the reliability concept of the product	Incorporated reliability, maintainability, safety and quality in the LCC Model	Monte Carlo Simulation	Automotive Electronics
Anityasari and Kaebernick (2008)	Evaluation of the reusability of a product. Threshold value of the reliability is used to calculate the reusability	Three different conditions are highlighted here that also suitable for remanufacturing and recycling	Non- Parametric estimation	Television

References	Objective	Pros and cons	Methodology	Application
Kara et al., 2007	To assess the reusability of a reused product by considering the reliability and remaining useful life of the used product	A comparative study is done among the results which are obtained from various methods such as multiple regression analysis, ordinary kriging, universal kriging and artificial intelligence method	A two-stage methodology is developed. In the first stage of the methodology, trend analysis is done to calculate the operating life from the maintenance data and later remaining life is calculated	Electric Motor
Mazhar et al. (2007)	Estimation of remaining useful life of a product	Multiple Regression method is used to represent the behaviour of some parameters over remaining life of a product	Statistical analysis is done in the first phase to check the reusability of the product and in second phase the remaining useful life is calculated by using Multiple regression analysis and Artificial Neuron Network (ANN)	Electric Motor of a Washing Machine
Hu et al. (2014)	Computation of remaining useful life and reliability based on online assessment	Time to remanufacturing of a parts or components is calculated based on the reliability analysis. Remanufacturing decision is taken based on the current state reliability and the predicted reliability at $t + ∆ t$	Support Vector Machine (SVM) is used to evaluate the predicted reliability	Cylindrical roller bearing
Pandey and Thurston (2009)	Evaluation the performance of a remanufactured product	Incorporate experts’ opinion regarding value degradation with the failure rate data	Maximum Entropy Principle	Personal Computer
Jiang et al. (2016)	Optimization of the remanufacturing process which increases the reliability of the remanufacturing process and also minimizes the remanufacturing cost	Different quality levels are considered because the damage levels of the collected core are different. From these different quality level, reliability and cost functions are developed	Entropy weight calculation and Genetic Algorithm (GA)	Lathe Bed
Shu and Flowers (1998)	Estimation of the Life Cycle Cost (LCC) in reusable environment	Replacement parts have different failure density from the original parts	Simulation	Mechanical system
Parkinson and Thompson (2003)	Identification of the complications in processing and planning in remanufacturing by using a systematic approach	A risk priority number is used to assess the risk factor in each remanufacturing process and thereafter cost benefit analysis is done	Failure Mode and Effect Analysis (FMEA)	Air- conditioning unit and Turbo Charger
Agarwal et al. (2012)	Maximization of the profit in a reverse supply chain	Component or part reliability is considered to develop an incentive scheme for the customers	Particle Swarm Optimization (PSO)	Electronic Calculator
Diallo et al. (2014)	To analyse and study the characteristics and shape of mixture failure rate analysis in a remanufactured product and also developed an optimal cost-reliability model	Three types of failure rate such as increasing failure rate, rational failure rate and power law type failure rate are considered hereBut, the failure rate of reconditioned and new part follows same distribution	Mathematical Analysis	Unknown
Kleyner and Sandborn (2008)	Development of a life cycle based model that incorporates the reliability concept of the product	Incorporated reliability, maintainability, safety and quality in the LCC Model	Monte Carlo Simulation	Automotive Electronics
Anityasari and Kaebernick (2008)	Evaluation of the reusability of a product. Threshold value of the reliability is used to calculate the reusability	Three different conditions are highlighted here that also suitable for remanufacturing and recycling	Non- Parametric estimation	Television

Source(s): Authors’ own compilation