Energy consumption model and its simulation for manufacturing and remanufacturing systems

Abstract

This paper adopts a method of researching the proc e s s o f e n e rg y c o n s u m p t i o n in m a n u f a c t u r i n g / remanufacturing systems to achieve lean energy. This method can be used in typical machining systems, especially including the machining process of manufacturing and remanufacturing. To validate this approach, we model and simulate the system with the DEVS theory and input-output model. This model establishes the machining process of a product. On the basis of work station, which is used for receiving work pieces and energy, exporting products and information of different kinds of energy consumption. We can simulate manufacturing/ remanufacturing of integration machining process and material flow, information flow, and energy flow of the coupling process. After that, classify the energy consumption according to the quality of the products. The solutions, which are the margin of error between simulation and measurement, show that this method is effective. The output results help manage energy resource and provide train of thought for saving energy and reducing consumption.

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

“…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…”

“…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.…”

“…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.…”

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

“…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.…”

Therblig-embedded value stream mapping method for lean energy machining

“…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.…”