kadamba lapp
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this the report on the routing of the disposal vehiclesTRANSCRIPT
Solid Waste Collection Zones Optimization and Implementation
07-11-2013
Ravi Kadambala Abdul Mulla Saleh Julio Brea CDM Smith & City of Homestead
Presentation Outline
• Background • Objective • Approach • Data Collection and Assumptions • Modeling and Optimization • Results and Analysis • Implementation Plan • Conclusions – Lessons Learned
Solid Waste Collection Routes Optimization and Implementation
Background
• The City of Homestead Public Works and Engineering Department, Solid Waste Division (SWD), is responsible for collection and management of residential municipal solid waste. – Garbage twice per week – Recycling Waste and bulky waste twice a month
Solid Waste Collection Routes Optimization and Implementation
Existing Garbage Collection System
Solid Waste Collection Routes Optimization and Implementation
Twelve (12) Zones Twice a week from each zone. Either Monday-Thursday Or Tuesday-Friday.
Existing Bulky Waste Collection System
Solid Waste Collection Routes Optimization and Implementation
Eight (8) Zones Twice a month from each zone.
Existing Recycling Waste Collection System
Solid Waste Collection Routes Optimization and Implementation
Five (1) Zones Twice a month from each zone.
1 4 3 2
5
Background
• The City passed an ordinance to increase collection of: – Recycling and bulky waste collection from twice a month to once a
week. – Maintain garbage collection to twice a week
Solid Waste Collection Routes Optimization and Implementation
Objective
• Increase recycling and bulky waste collection from twice a month to once a week
• Coincide with existing garbage collection days • Bulky waste collection to alternate each week (early/late pick
up) • Optimize bulky and recycling waste zones without additional
staff/equipment • Develop effective public communication plan • Provide staff training for successful implementation of new
collection zones effective January 2, 2013.
Solid Collection Routes Optimization and Implementation
Approach
• Garbage zones were modeled to determine time required for each zone.
Solid Waste Collection Routes Optimization and Implementation
Approach
• Based on Garbage zones modeling results: – The City was divided into four (4) proposed zones (identified by
garbage zones) for recycling /bulky waste collection.
Solid Waste Collection Routes Optimization and Implementation
Data Collection and Modeling Parameters
• Number and type of collection equipment – Collection trucks, cranes, haul trucks, etc. – Size and capacity of collection equipment.
• Personnel available for each type of waste collection. • Average amount of waste generated per week per household
– Garbage – Recycling Waste – Bulky waste
• Average pick-up time from waste collection equipment for the various types of waste
• Average speed of a waste collection equipment
Solid Waste Collection Routes Optimization and Implementation
Summary of Personal and Collection Equipment
Type of Collection
Crew Equipment Capacity
Garbage Six (6) crews on different zones
Six (6) Auto side loaders
33 cubic yard (5 trucks)
28 cubic yard ( 1 truck) Recycling Two (2) crews on different
zones Two (2) Auto side loaders
33 cubic yard (2 trucks)
Bulky waste Three (3) crews on different zones (Each crew has one crane and two dump trucks)
Three (3) cranes and six (6) dump trucks
24 cubic yard (6 trucks)
Solid Waste Collection Routes Optimization and Implementation
Field Observation
96 Gallons Super Cans for Garbage and Recycling Waste Collection
Solid Waste Collection Routes Optimization and Implementation
Auto-Side Loader for Garbage and Recycling Waste Collection
Auto-Side Loader for Recycling Waste Collection
Dump Truck for Bulky Waste Collection
Crane for Bulky Waste Collection
Crane and Dump Truck for Bulky Waste Collection
Field Observation
• Average pick-up time – Garbage from an auto-side loader was approximately 12 seconds – Recycling waste from an auto-side loader was approximately 12
seconds – Bulky waste using a crane and a dump truck was 1 minute
• Assumptions
– Every third (3) house generates recycling waste on a given week – Every tenth (10) house generates bulky waste on a given week
Solid Waste Collection Routes Optimization and Implementation
Waste Generated by Household per Week
Garbage Generated by Household (twice a week) 13.6 Pounds
Recycling Generated by Household per week 4.1 Pounds
Bulky Waste Generated by Household per week 15.6 Pounds
It was assumed that pick-up point for recycling waste was every 3rd house and the pick-up point for bulky waste was every 10th house.
Recycling Waste Generated per Pick-up Point per Week
4.11 x 3 = 12 Pounds
Bulky Waste Generated per Pick-up Point per Week 15.59 x 10 = 156 Pounds
Revised Waste Generated per Pick-up Point per Week
Model Development using FleetRoute
• FleetRoute is a GIS-based Route software
• Optimizes and identifies most efficient routes
• Determines waste pick-up time for various zones
• Maximizes productivity of vehicles
• Can integrate easily new customers into routes to facilitate expansion
Solid Waste Collection Routes Optimization and
Implementation
Existing Garbage Zones
Solid Waste Collection Routes Optimization and Implementation
Existing Garbage Zones
Existing Garbage Zones
Existing Garbage Zones
Existing Garbage Zones
Proposed Recycling/Bulky waste Zones
Solid Waste Collection Routes Optimization and Implementation
Proposed Recycling/Bulky waste Zones
Solid Waste Collection Routes Optimization and Implementation
Optimization of Recycling Waste Zones
Solid Waste Collection Routes Optimization and Implementation
Optimization of Bulky Waste Zones
Solid Waste Collection Routes Optimization and Implementation
Development of Final GIS Maps
Solid Waste Collection Routes Optimization and Implementation
Development of Final Schedule
Solid Waste Collection Routes Optimization and Implementation
Implementation Plan
• Public Communications Plan – Early residents communication, via bill inserts – Followed by post cards and radio adds – Magnet calendar for each four zones with collection
schedules – Hotline to any questions
• Staff Training – Two training sessions with the City staff – Supervised implementation for the first week
Solid Waste Collection Routes Optimization and Implementation
Conclusions –Lessons Learned
• Significant effort to prepare GIS maps • QA/QC of data is critical part of the modeling • Early communication with residents helps • Training and preparation is key for implementation • Allow adequate time (4-5 months) • City staff played a vital role in the project team
Solid Waste Collection Routes Optimization and Implementation
Questions
Solid Waste Collection Routes Optimization and Implementation
Thank you
Solid Waste Collection Routes Optimization and Implementation