View source for Smart Waste Management and Logistics for Municipal Solid Waste Collection Operations

{{ActionCluster
|image=SmartWaste.JPG
|team=Motorola, Scalable Strategies, Ecube Labs
|leader=Ed Davalos
|imagecaption=Municipal Solid Waste Collection
|municipalities=Goyang, Korea<!-- ; City of Los Angeles, CA; City of San Diego, CA; City of Hermosa Beach, CA; The District of Colombia -->
|status=Launched
|description=Objectives
* Deployment of solar waste compacting bins, ultrasonic fill-level sensors and trackers/beacons
* Utilization of data resource management platform to monitor & analyze various data points
* Increase operational efficiency, reduction in collection frequency, strategic asset allocation, labor costs, and greenhouse gases
|challenges=The lack of waste collection data results in the lack of transparency and accountability
|solutions=The project integrates hardware (M2M) and software enabling real-time data along , route optimization, fill-level information w/ push notifications, and analysis of historical collection data
|requirements=* Create scope and requirement, project plan
* Identify the locations for hardware deployments within each city
* Information regarding MSW containers (tech specs, model no., dimensions, field pictures)
* Internal testing and proofing of hardware installation process
* Provide access to software data for real-time monitoring
* Gain stakeholder support and buy-in from the municipalities along with third party contractors
|kpi=* Average waste vehicle travel time compared to baseline
* Average waste collection frequency compared to baseline
* Average waste overflow rates compared to baseline
|measurement=* Solar waste compacting bin & ultrasonic fill-level sensors collect data in real-time and sends it back to the cloud server 
* Provide pre-study collection forms to attain current operational efficiency to be used as the baseline
* After 3-6 month of collected data, compare with the baseline
|standards=* The software platform can be access either directly to through the cloud server or API access can be provided to be utilized as part of a bigger city dashboard. 
* Historical data collected will be analyzed to create standardized processes used to replicate and scale up cities/regions. The solution will be deployed in 4 US cities and 1 South Korean city
* The projects will have its own business model to create sustainable revenue stream through advertisements, public WiFi as well as reduction in operational costs
|cybersecurity=TBD
|impacts=* Reduction in waste vehicle(s) and travel times
* Reduction in Greenhouse gases
* Improving quality of life 
* Cleaner public spaces
* Creation of minority jobs
* Transparency & accountability to residents
|demonstration=* Full deployment of solar powered waste compacting bins and/or ultrasonic fill level sensors will be in use and collecting real-time used to present at the event
* Demo will include both real-time and historical data to compare results in collection frequency, travel time, gas, air pollution, and cost
|chapter=Smart Waste
|supercluster=Utility
|year=2017
|title=Smart Waste Management and Logistics for Municipal Solid Waste Collection Operations
|email=ed.davalos@motorolasolutions.com
<!--[mailto:scott@scalablestrategies.com Scott Pomeroy], [mailto:michael@ecubelabs.com Michael Son]-->
}}