1 / 13

OPTIMIZING THE SOLID WASTE COLLECTION SYSTEM OF ACSS USING LINEAR PROGRAMMING & GIS

OPTIMIZING THE SOLID WASTE COLLECTION SYSTEM OF ACSS USING LINEAR PROGRAMMING & GIS. Mohammed Abdi Ali Term Project Fall 2000 CE 394 GIS for Water Resources For additional information, visit http://www.ce.utexas.edu/stu/alima/home.html/swgis.htm. Topics of the Presentation:. Introduction

raphael
Télécharger la présentation

OPTIMIZING THE SOLID WASTE COLLECTION SYSTEM OF ACSS USING LINEAR PROGRAMMING & GIS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. OPTIMIZING THE SOLID WASTE COLLECTION SYSTEM OF ACSS USING LINEAR PROGRAMMING & GIS Mohammed Abdi Ali Term Project Fall 2000 CE 394 GIS for Water Resources For additional information, visit http://www.ce.utexas.edu/stu/alima/home.html/swgis.htm

  2. Topics of the Presentation: • Introduction • ACSS • Model formulation for Solid Waste Collection Optimization • Use of GIS in solid waste management • Objective of Term Project • Data Acquisition & Preparation • Analysis Using Arc View GIS Spatial Analyst • Analysis Using Arc View GIS Network Analyst • Conclusion • Acknowledgment

  3. 1. Introduction • ACSS • ½ of the City’s population solid waste service provider • Provides service for commercial & residential customer for both recyclable and disposable solid wastes. • Provides both stationary container and hauled container services • Offloading sites :TDS, BFI, MRF,Hornsby Bend, & COA Landfill • Model of the optimization: • Input Data: • Source location • Transportation street networks • Transportation route length between pick-up locations • Waste generation data at pickup location • Location of offloading sites • Analysis (optimization): • Use linear modeling • Minimize collection cost by considering the collection distance( route) and collection time • Constraints: regulation, traffic loads, and working hours, truck capacity, and other conditions. Types of collection system • Output: • Optimum collection route • Collection time • Minimum cost

  4. Use of GIS in solid waste management 2. Objective of the Term Project: • Investigating the existing capacity of Arc View GIS tools for optimizing city’s solid waste collection system • To use the existing Arc View tools for preliminary route optimization 3. Computer Data Acquisition & preparation • Customer locations • Austin City Street network • Offloading and Office locations • Identifying Commercial, residential and recyclable customers and hauled container collection system services

  5. Commercial Customer, Offloading & Office locations

  6. 4. Analysis Using Arc View Spatial Analyst • The proximity analysis tools Procedures:

  7. Proximity to disposal sites – sample proximity analysis

  8. 5. Analysis Using Arc View GIS Network AnalystThe Closest facility to Hauled Container Collection System-Procedures:

  9. Out put of the Analysis

  10. Sample Best Route AnalysisProcedures:

  11. Out of the Analysis

  12. 6. Conclusion • The existing Spatial and Network analyst tools have limited application in City’s solid waste collection system optimization • The existing tools are suitable for hauled container collection system than the stationary container system • Improved tools or integration of additional linear models to include all the factors that may affect the collection system is necessary • The existing tools may be helpful for locating transfer stations and landfill sites for new collection system • Acknowledgment -City of Austin Solid Waste Service Office

  13. THANKS TO GOD! DEC. 7 DEC. 7

More Related