Energy consumption model and its simulation for manufacturing and remanufacturing systems

Wang, Xianlin; Luo, Wei; Zhang, Hua; Dan, Binbin; Li, Fēi

doi:10.1007/s00170-015-7057-7

Cited by 11 publications

(5 citation statements)

References 13 publications

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“…Finally, the proposed method is not contingent upon large amounts of quantitative data and as such could be more accessible and appealing to companies. A large number of studies in the literature have proposed methods for quantitative optimization of remanufacturing processes with a variety of aspects in focus e.g., forecasting [18], logistics [19,20], scheduling [21], reassembly [22], inventory control and management [23][24][25], process improvement [26], line reconfiguration [27], and pricing [28]. Such quantitative optimization methods can be very useful for companies facing a…”

Section: Effectiveness Of the Proposed Methodsmentioning

confidence: 99%

“…However, few practical methods are currently available to tackle this challenge [17]. Some researchers have investigated methods to support remanufacturing process planning and control, while these studies are limited to specific activities, such as forecasting [18], logistics [19,20], scheduling [21], reassembly [22], inventory control and management [23][24][25], process improvement [26], line reconfiguration [27], and pricing [28]. Table 1 shows examples of these studies.…”

Section: Literature Review and Research Motivation Industrial Needs F...mentioning

confidence: 99%

“…The importance of conducting product returns management, remanufacturing operation, and remanufactured products market development in a coordinated fashion is also emphasized [50]. However, existing methods focused on specific activities, such as forecasting [18], logistics [19,20], scheduling [21], reassembly [22], inventory control and management [23][24][25], process improvement [26], line reconfiguration [27], and pricing [28], and therefore limited studies have discussed the coordination of the entire process planning and control. This issue may hinder companies from initiating, or efficiently improving, remanufacturing.…”

Section: Research Gap and Opportunitymentioning

confidence: 99%

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A Method for Remanufacturing Process Planning and Control Using Loosely Coupled Systems

Kimita

Matschewsky

Sakao

2021

Journal of Manufacturing Science and Engineering

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Remanufacturing is a crucial component for our societies to move toward a circular economy. Compared to new manufacturing, the distinctive nature of remanufacturing is found to have high variability, high uncertainty and, thereby, complexity. Therefore, remanufacturers need to be able to adapt to the complexity and to flexibly adjust their processes. Especially, the ability to remanufacturing process planning and control is important. However, few practical methods supporting that are available so far. Therefore, this paper aims to propose a method for designing teams and processes in remanufacturing based on the concept of loosely coupled systems. In the proposed method, Design Structure Matrix (DSM) is applied to identify loosely coupled sub-systems that enable to localize impacts of changes within themselves. These sub-systems are also regarded as cross-functional teams that reduce coordination efforts among line departments and therefore increase the adaptability against uncertainties. As a preliminary validation, the proposed method was applied to a real case of remanufacturing, and then found to be effective for creating teams and processes for remanufacturing process planning and control depending on given uncertainties.

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Section: Effectiveness Of the Proposed Methodsmentioning

confidence: 99%

Section: Literature Review and Research Motivation Industrial Needs F...mentioning

confidence: 99%

Section: Research Gap and Opportunitymentioning

confidence: 99%

See 1 more Smart Citation

A Method for Remanufacturing Process Planning and Control Using Loosely Coupled Systems

Kimita

Matschewsky

Sakao

2021

Journal of Manufacturing Science and Engineering

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“…Based on the knowledge regarding total energy consumption, it has become a trend to decompose the total energy consumption and reduce energy waste through optimization of the scheduling scheme. Wang [27] simulated a processing process and classification of energy consumption by product quality. In general, the total energy consumption can divide into PEC and NPEC, where NPEC, as indicated above, refers to the energy consumption generated by auxiliary operations such as equipment start-up, shutdown, and idling.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Machining Workshop Batch Scheduling Incorporating the Completion Time and Non-Processing Energy Consumption Considering Product Structure

Feng

2021

Energies

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Energy-saving scheduling is a well-known issue in the manufacturing system. The flexibility of the workshop increases the difficulty of scheduling. In the workshop schedule, considering the collaborative optimization of multi-level structure product production and energy consumption has certain practical significance. The process sequence of parts and components should be consistent with the assembly sequence. Additionally, the non-production energy consumption (NPEC) (such as the energy consumption of workpiece handling, equipment standby, and workpiece conversion) generated by the auxiliary machining operations, which make up the majority of the total energy consumption, should not be ignored. A sub-batch priority is set according to the upper and lower coupling relationship in the product structure. A bi-objective batch scheduling model that minimizes the total energy consumption and the total completion time is developed, and the multi-objective gray wolf optimizer (MOGWO) is employed as the solution to obtain the optimal schedule scheme. A case study is performed to demonstrate the potential possibilities concerning NPEC in regard to reducing the total energy consumption and to show the effectiveness of the algorithm. Compared with the traditional optimization model, the joint optimization of NPEC and PEC can reduce the energy consumption of standby and handling by 9.95% and 22.28%, respectively.

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“…Substantial research has been conducted on energy saving issues in the machining process. Most studies have primarily focused on energy consumption monitoring [45][46][47][48], energy consumption and carbon emission modeling [49][50][51][52][53][54][55], and simulations for saving energy [56][57][58][59]. In addition, improving the machine tool itself has been identified as an effective way to save energy.…”

Section: Literature Reviewmentioning

confidence: 99%

Therblig-embedded value stream mapping method for lean energy machining

Jia

Yuan

et al. 2017

Energy

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To improve energy efficiency, extensive studies have focused on the cutting parameters optimization in the machining process. Actually, non-cutting activities (NCA) occur frequently during machining and this is a promising way to save energy through optimizing NCA without changing the cutting parameters. However, it is difficult for the existing methods to accurately determine and reduce the energy wastes (EW) in NCA. To fill this gap, a novel Therblig-embedded Value Stream Mapping (TVSM) method is proposed to improve the energy transparency and clearly show and reduce the EW in NCA. The Future-State-Map (FSM) of TVSM can be built by minimizing non-cutting activities and Therbligs. By implementing the FSM, time and energy efficiencies can be improved without decreasing the machining quality, which is consistent with the goal of lean energy machining. The method is validated by a machining case study, the results show that the total energy is reduced by 7.65%, and the time efficiency of the value-added activities is improved by 8.12% , and the energy efficiency of value-added activities and Therbligs are raised by 4.95% and 1.58%, respectively. This approach can be applied to reduce the EW of NCA, to support designers to design high energy efficiency machining processes during process planning.

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Energy consumption model and its simulation for manufacturing and remanufacturing systems

Cited by 11 publications

References 13 publications

A Method for Remanufacturing Process Planning and Control Using Loosely Coupled Systems

A Method for Remanufacturing Process Planning and Control Using Loosely Coupled Systems

Research on Machining Workshop Batch Scheduling Incorporating the Completion Time and Non-Processing Energy Consumption Considering Product Structure

Therblig-embedded value stream mapping method for lean energy machining

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