Optimizing the solid waste collection system of acss using linear programming gis
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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

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Optimizing the solid waste collection system of acss using linear programming gis l.jpg

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 l.jpg
Topics of the Presentation: LINEAR PROGRAMMING & GIS

  • 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


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1. LINEAR PROGRAMMING & GISIntroduction

  • 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


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  • Use of GIS in solid waste management LINEAR PROGRAMMING & GIS

    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



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4. Analysis Using Arc View Spatial Analyst LINEAR PROGRAMMING & GIS

  • The proximity analysis tools

    Procedures:



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5. Analysis Using Arc View GIS Network Analyst LINEAR PROGRAMMING & GISThe Closest facility to Hauled Container Collection System-Procedures:


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Out put of the Analysis LINEAR PROGRAMMING & GIS


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Sample Best Route Analysis LINEAR PROGRAMMING & GISProcedures:


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Out of the Analysis LINEAR PROGRAMMING & GIS


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6. LINEAR PROGRAMMING & GISConclusion

  • 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


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THANKS TO GOD! LINEAR PROGRAMMING & GISDEC. 7

DEC. 7


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