MARC details
| 000 -LEADER |
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| fixed length control field |
09024nam a22002657a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
201210b2023 a|||f bm|| 00| 0 eng d |
| 024 7# - Author Identifier |
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| Standard number or code |
0009-0008-3325-1216 |
| Source of number or code |
ORCID |
| 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 |
Nour Sameh Mahmoud Abdulatif |
| 245 1# - TITLE STATEMENT |
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| Title |
Managerial considerations for Fuzzy EVRP |
| Statement of responsibility, etc. |
/Nour Sameh Mahmoud Abdulatif |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
97p. |
| Other physical details |
ill. |
| Dimensions |
21 cm. |
| 500 ## - GENERAL NOTE |
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| Materials specified |
Supervisor: Tarek Khalil |
| 502 ## - Dissertation Note |
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| Dissertation type |
Thesis (MS.c)—Nile University, Egypt, 2023 . |
| 504 ## - Bibliography |
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| Bibliography |
"Includes bibliographical references" |
| 505 0# - Contents |
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| Formatted contents note |
Contents: ACKNOWLDGEMENT ....................................................................................................................................V<br/>ABSTRACT ......................................................................................................................................................VI<br/>LIST OF Abbrevations....................................................................................................................................... X<br/>LIST OF TABLES ............................................................................................................................................ XI<br/>LIST OF FIGURES.......................................................................................................................................... XII<br/>1 INTRODUCTION................................................................................................................................... 13<br/>2 DISCUSSION OF THE FUZZY ELECTRIC VEHICLE PROBLEM................................................... 15<br/>2.1 ROAD FREIGHT TRANSPORTATION.......................................................................................................... 15<br/>2.1.1 Road Freight Transportation: Global outlook ..................................................................................... 15<br/>2.1.2 Road Freight Transportation : Egypt’s Outlook.................................................................................. 16<br/>2.1.3 Road Freight Transportation : Repercussions..................................................................................... 16<br/>2.2 ELECTRIC Road Friegt Transportation...................................................................................................... 17<br/>2.2.1 Electric Vehicles in Transportation: Global Outlook.......................................................................... 17<br/>2.2.2 Electric Vehicles in Transportation: Egypt’s outlook ......................................................................... 19<br/>2.2.3 ELECTRIC VEHICLES CHALLENGES.......................................................................................... 20<br/>2.3 Routing Problems .................................................................................................................................... 21<br/>2.3.1 Vehicle Routing Problem (VRP) ........................................................................................................ 21<br/>2.3.2 Electric Vehicle routing Problem (EVRP).......................................................................................... 21<br/>2.4 FUZZY Optimization ................................................................................................................................. 22<br/>2.4.1 Fuzzy logic & logistical optimzation.................................................................................................. 22<br/>2.4.2 Fuzzy Routing Problems & Variation................................................................................................. 23<br/>2.4.3 Lexicographic Methods for Fuzzy Optimization ................................................................................ 24<br/>2.5 LITERATURE GAP ANALYSIS ..................................................................................................................... 25<br/>3 RESEARCH METHODOLOGY ............................................................................................................ 26<br/>3.1 Research objectives ................................................................................................................................. 26<br/>IX<br/>3.2 Research method..................................................................................................................................... 26<br/>3.2.1 Methodology....................................................................................................................................... 26<br/>3.2.2 Addressing Fuzzy Demands ............................................................................................................... 29<br/>3.2.3 Proposed model definition. ................................................................................................................. 31<br/>3.2.4 Proposed Model.................................................................................................................................. 34<br/>4 RESULTS and discussion....................................................................................................................... 38<br/>4.1 Simulation Experiment and Result Analysis: Solomon Dataset ............................................................... 38<br/>4.1.1 Description of Instances and Experimental Environment................................................................... 38<br/>4.1.2 Experimental Results.......................................................................................................................... 39<br/>4.2 Simulation Experiment and Result Analysis: Case Study.......................................................................... 68<br/>4.2.1 Description of Instance and Experimental Environment .................................................................... 68<br/>4.2.2 Experimental Results.......................................................................................................................... 69<br/>5 CONCLUSION AND RECOMMENDATIONS ..................................................................................... 84<br/>5.1 Managerial Implications.......................................................................................................................... 84<br/>5.2 Recommendations................................................................................................................................... 88<br/>6 Conclusion............................................................................................................................................... 89<br/>7 References ............................................................................................................................................... 91<br/> |
| 520 3# - Abstract |
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| Abstract |
Abstract: This study presents a significant contribution to the Electric Vehicle Routing Problem (EVRP) <br/>domain by addressing the challenges posed by fuzzy demands, soft time windows, and the need <br/>for recharging at demand points. The research aims to provide valuable insights into electric <br/>vehicle routing optimization, specifically focusing on the dynamic nature of fuzzy demand and the <br/>incorporation of soft time windows, while simultaneously assessing the economic and <br/>environmental implications. The problem is formulated as a mixed-integer linear programming <br/>model, accommodating uncertainties in demand levels and allowing for flexibility with penalties <br/>for time window violations. Utilizing LINGO V19 software, the model is solved using both <br/>Solomon Datasets and a case study dataset, yielding exact solutions. To gauge the impact of fuzzy <br/>demand, a Depth-First Lexicographic Parametric Analysis is conducted by varying the fuzzy <br/>demand parameters. The model's validity and effectiveness are rigorously examined using <br/>Solomon's benchmark dataset and subsequently applied to a case study derived from the Egyptian <br/>local market.<br/>The solutions obtained are evaluated based on various metrics, including total incurred costs, <br/>penalty costs, total distance traveled, and total CO2 emissions. The analysis of these solutions <br/>provides managerial implications, establishing a decision-making framework for electric vehicle <br/>fleet management. Recommendations are proposed for decision-makers encompassing fuzzy <br/>demand modeling techniques, charging infrastructure considerations, pricing and incentive <br/>strategies, and effective management systems.<br/>This study significantly advances EVRP research, offering practical solutions for real-world <br/>transportation planning and logistics management. The integration of fuzzy demand dynamics and <br/>soft time windows into the optimization model enhances its applicability to complex and uncertain <br/>real-world scenarios, contributing to the sustainable development of electric vehicle routing <br/>practices |
| 546 ## - Language Note |
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| Language Note |
Text in English, abstracts in English |
| 650 #4 - Subject |
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| Subject |
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 |