| dc.identifier.uri | http://hdl.handle.net/11401/76457 | |
| dc.description.sponsorship | This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. | en_US |
| dc.format | Monograph | |
| dc.format.medium | Electronic Resource | en_US |
| dc.language.iso | en_US | |
| dc.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dc.type | Thesis | |
| dcterms.abstract | Presently, with the development of modern manufacturing system, the usage of energy is growing rapidly. Since most of fuel we use are non-renewable resources, fuel becomes a very big part of cost. How to use the energy more efficiently is the main concern now. This thesis provides a systematic method to evaluate the energy efficiency of a production system and decompose the unnecessary energy waste of a manufacturing facility from the measured data with stochastic frontier analysis model. A new energy efficiency indicator is developed for the energy consumption level and efficiency of machines and production lines. Energy savings opportunity widows are applied to maximize energy consumption efficiency and enable the rearranging of the scheduled maintenance without permanent production loss. | |
| dcterms.available | 2017-09-20T16:50:18Z | |
| dcterms.contributor | Chang, Qing | en_US |
| dcterms.contributor | Longtin, Jon | en_US |
| dcterms.contributor | Kincaid, John. | en_US |
| dcterms.creator | Wang, Shiyao | |
| dcterms.dateAccepted | 2017-09-20T16:50:18Z | |
| dcterms.dateSubmitted | 2017-09-20T16:50:18Z | |
| dcterms.description | Department of Mechanical Engineering. | en_US |
| dcterms.extent | 71 pg. | en_US |
| dcterms.format | Application/PDF | en_US |
| dcterms.format | Monograph | |
| dcterms.identifier | http://hdl.handle.net/11401/76457 | |
| dcterms.issued | 2013-12-01 | |
| dcterms.language | en_US | |
| dcterms.provenance | Made available in DSpace on 2017-09-20T16:50:18Z (GMT). No. of bitstreams: 1
Wang_grad.sunysb_0771M_11341.pdf: 1440968 bytes, checksum: ff02528233310d000fea94359623327c (MD5)
Previous issue date: 1 | en |
| dcterms.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dcterms.subject | Engineering | |
| dcterms.subject | energy efficiency, energy efficiency indicator, energy saving oppotunity, stochastic frontier anaylsis | |
| dcterms.title | Energy performance evaluation and energy savings opportunities for Manufacturing systems | |
| dcterms.type | Thesis | |
