A Review on the Lifecycle Strategies Enhancing Remanufacturing
Abstract
:1. Introduction
2. Methodology
3. Strategies Enhancing Remanufacturing
3.1. End-of-Life Product Collection
3.2. Closed-Loop Supply Chain (CLSC)
3.3. Predetermined Remanufacturing Timing
- (a)
- Variable performance of key components: A product is made up of various components and some components are considered “key components” due to their importance. Therefore, their performance is observed during their lifecycles so as to determine the exact period it needs to be remanufactured.
- (b)
- Remanufacturing timing with key components: Given that the structural failure of each component is totally different according to the individual operation environment, identifying the influence on product performance from each key component is important. Moreover, the components are the main cores to be disassembled, inspected and restored. The utilization values in the use phase and the costs in the remanufacturing phase of different key components should not be similar. Accordingly, the specific remanufacturing timing of individual components should be analyzed as the foundation of a product’s remanufacturing timing.
3.4. Reverse Logistics (RL)
3.5. Product Lifecycle Data Acquisition and Sharing
3.6. Remaining Useful Life (RUL)
- (a)
- The physical remaining useful life: This is based on the actual state of the product, usually visible by simple observation. Questions which can be raised here include: Can the product still withstand the stress which it has to go through to satisfy its users? Is it safe for the user to keep using that product [102]?
- (b)
- The technical remaining useful life: For the technical aspect of RUL, the aspect to take into consideration is whether the main parts of the product are still functioning properly; in order words, whether the product is still able to carry out its assigned function.
- (c)
- The economic remaining useful life: This option has to do with profit margins and is special for products that normally generate revenue when they are being used, for example, a food processing machine. The main question asked here is whether the product can still generate its allocated revenue.
3.7. Design for Remanufacturing (DfRem)
3.8. Product Service System (PSS)
4. Recent Trends in Remanufacturing
4.1. Industry 4.0 (I4.0)
4.2. Collaborative Robots (COBOTs)
4.3. Upgrading Products
4.4. Additive Manufacturing for Remanufacturing
4.5. Smart Remanufacturing
4.6. Smart Recovery Decision Making (SRDM)
5. Research Gaps and Future Work
5.1. Research Gaps
- (a)
- There have been improvements in design for remanufacturing concepts and implementations in the supply chain. However, there are still limitations since there are no standards put in place so that manufacturers of the same product worldwide can apply the same DfRem principles. This causes a lot of discrepancies.
- (b)
- Online monitoring is being used mostly for high value products and it is limited for lower value products. Even for the high value products with online monitoring systems in place, using the data is still problematic as there is no mechanism to share information across stakeholders.
- (c)
- For EoL collection methods, there are methods of collection that have been used for a very long time now, e.g., from dumping sites. With emerging technologies such as smart lifecycle data and I4.0, there needs to be an upgrade in collection methods that matches the high level of technology. A more improved method for waste collection would greatly reduce the challenges faced in collecting and sorting EoL products.
- (d)
- Another gap concerns the product lifecycle data collected. Data collection is done for certain products and it is very useful for I4.0.There are two issues here: (a) there are no tools for the information sharing for remanufacturing, and (b) even if the tools are available, the stakeholders are reluctant to share the information. This gap causes a lot of difficulties in remanufacturing since product information determines the production process which the product will follow during its remanufacturing stage.
- (e)
- With new technologies being used in remanufacturing activities, there are quite a few case studies that show how these new technologies are being used in real time on products. Most of the work is still in the theoretical stage and for the practical stages there is much work to be done to improve the situation. The more researchers there are using case studies to explain their discoveries, the greater the chances of them being realized are.
- (f)
- The RUL of a product is a very important element that can help the remanufacturing timing. There are still research gaps with regard to how exactly the RUL of a product can be calculated at any particular stage in its lifecycle. Various calculations have been made for certain products but they have not really been implemented because they are not all coherent.
5.2. Future Work
- (a)
- DfRem standards should be set for companies that manufacture the same products; this would improve the uniformity of the products during remanufacturing.
- (b)
- There needs to be a mechanism set in place that can ensure the safe sharing of data between stakeholders without the fear of information leakage.
- (c)
- An online monitoring system for lower value products could be established that would expand online monitoring beyond high value products.
- (d)
- More research needs to be done on how the RUL of a product can be calculated at any given time in its lifecycle.
- (e)
- More case studies should be used to demonstrate how emerging technologies like smart remanufacturing, I4.0 and SRDM can be applied in real circumstances.
6. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Nomenclature
EoL | End-of-life |
OEMs | Original equipment manufacturers |
BoL | Beginning-of-life |
MoL | Middle-of-life |
WEEE | Waste electrical and electronic equipment |
CSLC | Closed-loop supply chain |
RL | Reverse logistics |
RUL | Remaining useful life |
DfRem | Design for remanufacturing |
I4.0 | Industry 4.0 |
IoT | Internet of Things |
COBOTs | Collaborative robots |
SRDM | Smart recovery decision making |
AI | Artificial intelligence |
SCM | Supply chain management |
DCD | Data carrying devices |
PSS | Product service system |
CE | Circular economy |
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Strategies | 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 |
[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 remanufacturing | [67] | I4.0 and CE |
Beginning-of-Life (Design, Manufacture) | |
---|---|
Design for remanufacturing (DfRem) | Design that considers the need to disassemble products for repair, refurbishment or recycling. |
Product lifecycle data acquisition | Data collected based on product’s design, production process, usage and disposal. Data collected from the middle-of-life stage is shared so as to enhance the production technique, design and usage. |
Middle-of-Life (Distribution, Sales, Use) | |
Product service system (PSS) | The ownership of the product rests with the producer who provides design, usage, maintenance, repair and recycling throughout the lifetime of the product. The customer pays a rent for the time of its usage. |
Smart recovery decision making (SRDM) | Withdrawing products from the supply chain in case of defaults. |
Product lifecycle data acquisition | Data collected throughout the product’s use stage to detect performance degradation as well as defections. |
End-of-life (EoL) | |
EoL product collection | Products at the EoL stage are collected and sorted. |
Predetermined remanufacturing timing | Decision making for the collection of remanufacturable products and the timing of collection is crucial; the sooner the better. |
Remaining useful life (RUL) | Determining how much useful life an EoL product has left, deciding whether it can be remanufactured or recycled. |
Reverse logistics | Analyzing various recovery options for collected EoL products. |
Product lifecycle data acquisition | Data collected on the state of the collected products for future improvement. |
Remanufacturing | |
Product lifecycle data sharing | Data collected throughout the product’s lifecycle is shared so as to ease the remanufacturing process. |
Industry 4.0 | The use of inter-connected production processes in the remanufacturing process. |
Smart remanufacturing | Using advanced techniques in remanufacturing |
Collaborative robots | Human–robot close collaboration to overcome the barriers encountered during remanufacturing. |
Additive manufacturing | Using various techniques such as 3D printing to remanufacture complex parts which are difficult to achieve with traditional methods. |
Upgrading | Increasing the performance of an EoL product through remanufacturing. |
CLSC | CLSC enhances remanufacturing as a recovery option. |
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Fofou, R.F.; Jiang, Z.; Wang, Y. A Review on the Lifecycle Strategies Enhancing Remanufacturing. Appl. Sci. 2021, 11, 5937. https://doi.org/10.3390/app11135937
Fofou RF, Jiang Z, Wang Y. A Review on the Lifecycle Strategies Enhancing Remanufacturing. Applied Sciences. 2021; 11(13):5937. https://doi.org/10.3390/app11135937
Chicago/Turabian StyleFofou, Raoul Fonkoua, Zhigang Jiang, and Yan Wang. 2021. "A Review on the Lifecycle Strategies Enhancing Remanufacturing" Applied Sciences 11, no. 13: 5937. https://doi.org/10.3390/app11135937
APA StyleFofou, R. F., Jiang, Z., & Wang, Y. (2021). A Review on the Lifecycle Strategies Enhancing Remanufacturing. Applied Sciences, 11(13), 5937. https://doi.org/10.3390/app11135937