Reusable Container System Optimization for Smart Cities
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Reusable Container System Optimization for Smart Cities
REUSABLE CONTAINER SYSTEM OPTIMIZATION FOR SMART CITIESA Senior Project submitted toThe Faculty of California Polytechnic State University.San Luis Ob Reusable Container System Optimization for Smart CitiesbispoIn Partial Fulfillmentof the Requirements for the Degree of Bachelor of Science in Industrial EngineeringbyLukas PinkstonAndrew SeamanAubrey Sloan42887AbstractFederal and local governments are investing in methods to discourage use of disposable containers 111 order to reduce waste generation a Reusable Container System Optimization for Smart Citiesnd protect the environment. In this project we propose the use of reusable takeout food containers as a replacement for disposable takeout food contaiReusable Container System Optimization for Smart Cities
ners. Reusable takeout container systems may use barcode or RFID (radio frequency identification) technology to track and manage the distribution, colREUSABLE CONTAINER SYSTEM OPTIMIZATION FOR SMART CITIESA Senior Project submitted toThe Faculty of California Polytechnic State University.San Luis Ob Reusable Container System Optimization for Smart Citiesesign and optimization of a network of container collection bins is the topic of this project.We propose a method to optimize the location network of collection bins at a Smart City. As a case study we use data collected 111 the city of San Luis Obispo. CA. The reusable container use cycle can be de Reusable Container System Optimization for Smart Citiesscribed as follows. A company provides the reusable takeout food containers to restaurants. The restaurants distribute these containers to then customReusable Container System Optimization for Smart Cities
ers. After the container IS used a customer drops It off in a convenient location for the company to pick it up and wash it. Since convenience of contREUSABLE CONTAINER SYSTEM OPTIMIZATION FOR SMART CITIESA Senior Project submitted toThe Faculty of California Polytechnic State University.San Luis Ob Reusable Container System Optimization for Smart Citiesily accessible will maximize user satisfaction and benefit to the city.Determining the optimal set of container collection bin locations was pel formed using a linear programming model that optimized the bin network visibility and accessibility. Visibility and accessibility were measured by traffic Reusable Container System Optimization for Smart Citiesvolume, pedestrian volume, and population density. The optimization model included varying the quantities of drop-off bins, as well as varying bin sizReusable Container System Optimization for Smart Cities
es and costs. An economic analysis was used to determine the optimal combination of quantity of bins, bin size, and bin cost that maximized the benefiREUSABLE CONTAINER SYSTEM OPTIMIZATION FOR SMART CITIESA Senior Project submitted toThe Faculty of California Polytechnic State University.San Luis Ob Reusable Container System Optimization for Smart Citiesal set of collection routes. Similar to the linear programming model, the simulation model also had variable input capabilities. The flexibility of our models may prove useful for future efforts to plan reusable container systems for Smart Cities.7lable oi’ContentsList of Tables IList of Figures51.I Reusable Container System Optimization for Smart Citiesntroduction 6n.Background and Literature8Sampling Technữpies 8Container Tracking9Operations Research Solving Methods 10Existing Recycling Programs 12EReusable Container System Optimization for Smart Cities
conomic Costs 13ĨIIDesign 15IV.Methodology 19V.Results 22VI.Conclusion 25References 2 73List of TablesTable 1: San Luis Obispo Raw Traffic Light Data REUSABLE CONTAINER SYSTEM OPTIMIZATION FOR SMART CITIESA Senior Project submitted toThe Faculty of California Polytechnic State University.San Luis ObREUSABLE CONTAINER SYSTEM OPTIMIZATION FOR SMART CITIESA Senior Project submitted toThe Faculty of California Polytechnic State University.San Luis ObGọi ngay
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