Maintenance and remanufacturing strategy: using sensors to predict the status of wind turbines

Abstract

The original PDF version of this article unfortunately contains error introduced during the production process. The Publisher apologizes for this error.The fifth paragraph under "Conclusions and suggestions" section was not properly formatted. The correct paragraph is now given below.The results of the implementation of this model have showed that the product recycling among four GSCM practices is in the first priority. Moreover, the product disassembly manual has the greatest importance among all 22 GSCM practices indictors. To avoid the misinterpretation dimension of the product recycling as its' criterion, the product disassembly manual, the product recycling initiatives is related to the disposal stage, while the product disassembly manual refers to the consumers education about the recycling and recovery options available to them, and explaining that they must not dispose the products together with their general trash. To facilitate an end-of-life disassembly, the product disassembly manuals need to be carried out as a reference for disassembly workers to implement the non-destructive detachment of components or modules and acquire the recovery of original functionality in order to contribute to the environmental benefit [6, 46]. In order for Saipa Company and similarly for Iranian automobile companies, to improve GSCM practices by considering the product disassembly manual as the most influential indicator from experts' point of view, it is recommended to set Journal of Remanufacturing (2018) 8:175-176 https://doi

A review of emerging industry 4.0 technologies in remanufacturing

“…Presenting a theoretical case study, they evaluated potential environmental and business benefits, offering an insight into the range of applications of RFID for product level remanufacturing. A more detailed appraisal of the economic benefits of the use of DCD's and sensor-embedded in similar products is documented by Dulman and Gupta (2018) comparing wind turbine systems. Additionally, Stock and Seliger (2016) successfully demonstrated the retrofitting of an accelerometer and PLC to a MoL milling machine to form a CPS capable of interacting with others via IoT, providing a vision of intelligence upgrading for high-value, long-life products, but overall little consideration has been given to the connection of products already containing embedded or external networking capability.…”

A Review on the Lifecycle Strategies Enhancing Remanufacturing

“…Relevant Papers Case Study Used EoL product collection [30] Electronic products [31] Emphasis on remanufacturing [32] Mobile phones [33] WEEE CLSC [34] OEMs [35] Electric vehicle batteries [36] System dynamics analysis [37] Paper recycling Predetermined remanufacturing timing [38] Manufacturing systems [39] Multi-scale PCA [40] Wind turbines RUL [41] Used parts [40] Wind turbines [42] Aircraft engines [43] Railway D-cables Reverse logistics [44] Cell phones [45] Use of algorithm in Taoyuan City [46] Improved genetic algorithm [47] Chinese automobile parts DfRem [48] Disassembly line balancing [49] Analyzing operational factors [50] Analytic network process Product lifecycle data [51] Quality grading and end-of-use recovery The relevant papers were quantified and coded based on which strategies they had an impact on, the lifecycle stage in which they were applied and the case studies used to demonstrate the theory. Table 1 below shows the case studies used for each strategy.…”

“…EoL product collection [30] Electronic products [31] Emphasis on remanufacturing [32] Mobile phones [33] WEEE CLSC [34] OEMs [35] Electric vehicle batteries [36] System dynamics analysis [37] Paper recycling Predetermined remanufacturing timing [38] Manufacturing systems [39] Multi-scale PCA [40] Wind turbines RUL [41] Used parts [40] Wind turbines [42] Aircraft engines [43] Railway D-cables Reverse logistics [44] Cell phones [45] Use of algorithm in Taoyuan City [46] Improved genetic algorithm [47] Chinese automobile parts DfRem [48] Disassembly line balancing [49] Analyzing operational factors [50] Analytic network process Product lifecycle data [51] Quality grading and end-of-use recovery [52] IoT scheduling to predict remanufacturing timing [53] Big data in product lifecycle PSS [54] Baby prams [55] Upgradable PSS Collaborative robots [56] Human-robot collaborative disassembly cell [57] Enhanced discrete bee algorithm [58] Maintenance of autonomous train [59] A study on attitude and acceptance in an industrial context Additive manufacturing [60] Metals (silver, iron, etc.) [61] Future outlook for remanufacturing Industry 4.0 [62] Inter-country comparative perspective [63] Use of augmented reality Upgrading products [64] EoL tires [65] PSS SRDM [66] Algorithm to optimize disassembly Smart reman...…”

Towards a simulation-based understanding of smart remanufacturing operations: a comparative analysis

“…The effect of the interaction of customer behaviour on economic viability of remanufacturing was investigated using a hybrid modelling approach that employed system dynamics and agent-based model [42]. Dulman and Gupta [11] use DES to compare regular and sensor-embedded wind turbine systems. This complemented by monitoring key variables in both systems, such as maintenance cost, disassembly cost, inspection cost and EOL profit.…”

“…There is an acceptance by researchers, academics, manufacturers and policymakers of the urgent need to transition from a linear model, which extracts resources and manufactures them into products that are disposed after use, into a circular model [14,44,47]. The circular economy model is focused on value retention, where the resources are kept in use for as long as possible; hence it is restorative and regenerative by design and intention [12]. Circular economy research has motivated the emergence of a new supply chain paradigm, the closedloop supply chain [47].…”