MARC details
| 000 -LEADER |
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| fixed length control field |
08434nam a22002537a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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210202b2016 a|||f mb|| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
EG-CaNU |
| Transcribing agency |
EG-CaNU |
| 041 0# - Language Code |
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| Language code of text |
eng |
| Language code of abstract |
eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
658.4 |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Ahmed Hamdy Salem |
| 245 1# - TITLE STATEMENT |
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| Title |
A Multi-Layer Toolbox to Assess Manufacturing Greenness Level |
| Statement of responsibility, etc. |
Ahmed Hamdy Salem |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Date of publication, distribution, etc. |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
93 p. |
| Other physical details |
ill. |
| Dimensions |
21 cm. |
| 500 ## - GENERAL NOTE |
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| Materials specified |
Supervisor: Ahmed Deif |
| 502 ## - Dissertation Note |
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| Dissertation type |
Thesis (M.A.)—Nile University, Egypt, 2016 . |
| 504 ## - Bibliography |
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| Bibliography |
"Includes bibliographical references" |
| 505 0# - Contents |
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| Formatted contents note |
Contents:<br/>CHAPTER 1: INTRODUCTION TO RESEARCH ..........................................................1<br/>1.1. Research Background .....................................................................................1<br/>1.2. Problem Statement ..........................................................................................2<br/>1.3. Research Contribution ....................................................................................2<br/>1.4. Thesis Outline and Organization ....................................................................3<br/>CHAPTER 2: LITERATURE REVIEW ........................................................................5<br/>2.1. Green Manufacturing Assessment Levels ........................................................5<br/>2.2. Green manufacturing Attributes and Indicators ................................................8<br/>2.2.1. Green manufacturing attributes’ summary ...........................................8<br/>2.2.2. Green manufacturing indicators’ summary ..........................................9<br/>2.3. Green Manufacturing Assessment Techniques ...............................................12<br/>2.4. Literature Summary ........................................................................................17<br/>CHAPTER 3: THE GREENOMETER OVERVIEW .....................................................18<br/>3.1. The Greenometer at a Glance .........................................................................18<br/>3.2. Cross Industries Layer (CIL) ..........................................................................21<br/>3.2.1. Assessment Technique ........................................................................21<br/>3.2.2. GMM Analysis and Data Collection...................................................24<br/>3.3 Intra-Industries Layer (IIL) ..............................................................................33<br/>3.3.1. Assessment Mechanism ......................................................................33<br/>3.3.2. The Intra-industries Layer Industrial Classes .....................................37<br/>ix<br/>CHAPTER 4: GREENOMETER DEMONSTRATION ..................................................38<br/>4.1. Overview .........................................................................................................38<br/>4.2. Demonstrating Application to Light Industries via Electronics Sector: .........39<br/>4.2.1 Developing Optimal DMU of Electronics Sector for IIL Assessment:39<br/>4.2.2. Greenness Assessment for the Electronics Sector with Samsung as a Case Study ....................................................................................................41<br/>4.2.3. Samsung Case Study Data collection and Processing for CIL and IIL41<br/>4.2.4. Greenometer Assessment Results for Samsung Case Study...............45<br/>4.3. Demonstrating Application to Medium Industries via Automotive Sector: ...48<br/>4.3.1. Developing Optimal DMU of Automotive Sector for IIL Assessment:48<br/>4.3.2. Greenness Assessment for the Automotive Sector with General Motors as a Case Study:........................................................................................51<br/>4.3.3. General Motors Case Study Data Collection and Processing for CIL and IIL ........................................................................................................52<br/>4.3.4. Greenometer Assessment Results for General Motors Case Study ....55<br/>4.4. Demonstrating Application to Heavy Industries via Petroleum Sector: .........57<br/>4.4.1. Developing Optimal DMU of Petroleum Sector for IIL Assessment: 57<br/>4.4.2. Greenness Assessment for the Petroleum Sector with Shell as a Case Study: ...................................................................................................58<br/>4.4.3. Shell Case Study Data Collection and Processing for CIL and IIL ....58<br/>4.4.4. Greenometer Assessment Results for Shell Case Study .....................61<br/>x<br/>CHAPTER 5: CONCLUSION AND RECOMMENDATIONS .........................................63<br/>5.1. Summary .........................................................................................................63<br/>5.2. Observations and Recommendations ..............................................................63<br/>5.3. Future work .....................................................................................................66<br/>APPENDIX (A) – GREENOMETER TOOLBOX SCREENSHOTS. .................................67<br/>APPENDIX (B) – SAMPLES OF GMM SURVEIES. ....................................................71<br/>REFERENCES ..........................................................................................................73 |
| 520 3# - Abstract |
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| Abstract |
Abstract:<br/>Nowadays, environmental concern has been highlighted as an important global topic in different management levels, as well as the manufacturing industry. With this in mind, manufacturing systems should now run businesses competitively via an environmentally friendly system. Since having an eco-friendly system has now become a required feature rather than a luxury, adopting green practices has a significant impact on the social roles and maintaining economic benefits as well.<br/>There is a need to define and measure the greenness of different manufacturing levels. In general, manufacturing levels are categorized as following; product, machine, process, system, corporate, and sector. Therefore, manufacturing systems study the factors assessing the greenness level which contribute to the development of their green footprint. However, the efforts exerted in this field are limited, as there is no clear procedure to assess the maturity of the green practices of different manufacturing levels. Moreover, current research is mainly focused on either the assessment methodology or single manufacturing level.<br/>In this research study, an integrated approach to assess the greenness of different manufacturing levels is developed to utilize the green attributes. A “Greenometer” is introduced as a multi-layer toolbox to capture the greenness level in the selected manufacturing industries. System and sector manufacturing levels are the different manufacturing levels of the Greenometer. The developed assessment approach is based on the fundamentals of the green manufacturing assessment factors: environment, resources, energy, and economy. Moreover, the Greenometer is built on existing assessment techniques which concentrate on strategic comparison for cross industries evaluation, and tactical comparison for intra-industries evaluation. The Greenometer adopts the Geometric<br/>vii<br/>Mean Method (GMM) as a generic assessment technique for the cross industries layer and the Data Envelopment Analysis (DEA) as the most common bench-marking comparison technique for the intra-industries layer. The intra-industries layer categorizes the manufacturing industries into three industrial classes, known as heavy industrial class, intermediate industrial class and light industrial class. This categorization is based on common environmental standards, such as ISO 14000 families and the United States environmental protection agency (US. EPA).<br/>The proposed Greenometer is validated by three different case studies in different manufacturing industries. Petroleum industries, automotive industries and electronics industries are representing heavy industrial class, intermediate industries class, and light industries class, respectively. The results from the case studies showed the strategic and tactical green footprint of each manufacturing system, as well as the environmental bottlenecks, which gives a clear image with regard to improving and developing environmental plans and polices. |
| 546 ## - Language Note |
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| Language Note |
Text in English, abstracts in English and Arabic |
| 650 #4 - Subject |
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MOT |
| 655 #7 - Index Term-Genre/Form |
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| Source of term |
NULIB |
| focus term |
Dissertation, Academic |
| 690 ## - Subject |
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| School |
MOT |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Thesis |
| 650 #4 - Subject |
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| -- |
309 |
| 655 #7 - Index Term-Genre/Form |
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| -- |
187 |
| 690 ## - Subject |
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| -- |
309 |