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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.

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Presentation on theme: "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."— 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 Analyst The Closest facility to Hauled Container Collection System -Procedures:

9 Out put of the Analysis

10 Sample Best Route Analysis Procedures:

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 7.Acknowledgment -City of Austin Solid Waste Service Office

13 THANKS TO GOD! DEC. 7 DEC. 7


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