By Seog-Chan Oh, Alfred J. Hildreth
This booklet introduces the problems and difficulties that come up whilst enforcing clever strength administration for sustainable production within the automobile production and the analytical instruments and purposes to accommodate them. It makes use of a couple of illustrative examples to give an explanation for power administration in automobile production, which consists of so much varieties of production expertise and numerous degrees of power intake.
It demonstrates how analytical instruments may help increase power administration techniques, together with forecasting, intake, and function research, rising new know-how id in addition to funding judgements for developing clever strength intake practices.
It additionally info useful power administration platforms, making it a invaluable source for execs enthusiastic about actual power administration tactics, and permitting readers to enforce the techniques and purposes presented.
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Additional info for Analytics for Smart Energy Management: Tools and Applications for Sustainable Manufacturing
15) is used to calculate the efﬁciency of the t-th time period relative to ðt þ DtÞ-th time period technology. 2 DEA models required to calculate Malmquist TFP indices 43 Input oriented envelopment forms s:t: s:t: s:t: DtI þ D t ðEt þ Dt =Yt þ Dt ; Zt þ Dt Þ ¼ min/;k /; ÀZit þ Dt þ Zt þ Dt k ! 0; À/ðEit þ Dt =Yit þ Dt Þ þ Et þ Dt =Yt þ Dt k 0; k ! 13) DtI ðEt þ Dt =Yt þ Dt ; Zt þ Dt Þ ¼ min/;k / ÀZit þ Dt þ Zt k ! 0; À/ðEit þ Dt =Yit þ Dt Þ þ Et =Yt k 0; k ! 14) DtI þ Dt ðZt ; Et =Yt Þ ¼ min/;k /; ÀZit þ Zt þ Dt k !
In detail, when the DEA frontier estimate is biased high because of outlier data beyond the true frontier, the DEA method erroneously extends the estimated frontier outward. If the SFA method can distinguish between inefﬁciency and noise with sufﬁcient accuracy, then this method can be used to detect the DEA outlier problem. Similarly, DEA can be used to detect the type-II error in SFA when the SFA frontier line reduces to a standard linear regression line. 2 illustrates various relationships between energy intensity and non-energy factors (where the best practice indicates the lowest energy use achievable at the given operation conditions), with Fig.
To compete with other internal funding needs—product programs, asset sustainment, and maintenance…, a strategic approach is required utilizing company’s standard business practices for energy savings projects. A long-term plan including energy use forecasting, business as usual, the gap to meet the company’s goals, and the spending and savings for multiple years demonstrates a strategic plan to meet the objective. Based on the available funds, prioritize projects based on return on investment, CO2e reduction, and probability of success.
Analytics for Smart Energy Management: Tools and Applications for Sustainable Manufacturing by Seog-Chan Oh, Alfred J. Hildreth