The traveling salesman problem with release dates and

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School

Ohio State University *

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Course

822

Subject

Industrial Engineering

Date

Dec 6, 2023

Type

pptx

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16

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The traveling salesman problem with release dates and drone resupply Presented By: Aaron Fernandes Paper By: Juan C. Pina-Pardo, Daniel F. Silva, Alice E. Smith
12/02/2023 2 Overview Introduction Literature Review Problem Description Methodology Results
12/02/2023 3 Introduction The burgeoning customer demand for rapid delivery, including next-day or 2-day shipping, has surged in recent years (World Economic Forum, 2020). This trend demands streamlined last-mile logistics, where operators juggle route planning and immediate incoming requests, striving for same-day delivery from local facilities. This problem was originally addressed by the Traveling Salesman Problem(TSP), which involved developing an optimal solution only involving a truck to deliver the packages. This paper explores a solution involving drones sending new orders to delivery vehicles mid-route, eliminating the need for vehicles to return to the depot. We analyze this approach's advantages compared to the traditional method, ensuring a fair comparison by assuming full knowledge of order details for both strategies.
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12/02/2023 4 Archetti et al. (2015, 2018), introduced the TSPRD with the objective being minimizing waiting time. Shelbourne et al. (2017) furthered this concept by also addressing the capacitated VRP. Reyes et al. (2018) extended Archetti’s work by addressing routing complexities with release dates and deadlines along the same road. Klapp et al. (2016, 2018) focused on Same-Day Delivery (SDD) services, studying dispatch problems using Markov Decision Process (MDP) models for single-truck scenarios. Their later work proposed MILP formulations for deterministic scenarios in network graphs and discussed heuristics for stochastic versions. Literature Review
Optimize the delivery of orders to customers with release dates using a truck and a drone for resupply. Goal: Minimize the time to deliver all orders while respecting the release dates of the orders and the endurance of the drone. Assumptions: Each customer can order only once per day Known release dates for orders at the planning outset Loading orders onto the truck at the depot or via the drone during the route The drone meeting the truck only at customer locations with associated unloading and launching times No return trips for the truck to the depot Drone to return to the depot before resupplying the truck again 12/02/2023 5 Problem Description
12/02/2023 6 First Drone Resupply Operation VS Optimal TSPRD-DR Solution
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12/02/2023 8 Decomposition Approach Solution approach for solving larger instances of customers. We break the problem into 2 stages: Truck Routing Decisions Drone Resupply Decisions
12/02/2023 9 Routing decisions Drone-resupply decisions
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12/02/2023 10 Results From our computational MILP model, we achieved a 20% reduction in total delivery time compared to the traditional TSP problem using trucks only. Decomposition Approach Results: Over the instances of 10 customers, experiments showed that this approach obtained 13 of 24 optimal solutions in less than one second on average. For instances of 15 customers, 12 of 19 optimal solutions were found in less than 2 min on average
04 What’s next
Monthly timeline Jul Aug Sep Nov Oct Dec Jan Feb Mar Apr May Jun Product launch Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris vitae lorem id leo accumsan. Product launch Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris vitae lorem id leo accumsan. Product launch Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris vitae lorem id leo accumsan. Product launch Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris vitae lorem id leo accumsan. Q1 Q2 Q3 Q4 12/02/2023 12
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Goals for Q1 Employee opportunities End of fiscal celebration on July 15 th Employee day of learning on August 14 th Employee Yoga on September 3 rd Seminar series begins September 10 th Business priorities Increase customer satisfaction by 2% Maintain growth Initiative partnership with 3 rd party organizations 12/02/2023 13
Goals for Q2 Business priorities Increase customer satisfaction by 2% Maintain growth Added priorities Improve our social media presence Ensure the cost of development stays below budget Employee opportunities Interns begin Indoor rec leagues Chess tournaments Big Game watching party 12/02/2023 14
Summary Our business is good Profits are up in the last quarter by 3% Our customers keep coming back We increased customer retention by 4% We’re getting our work done We finished the consolidation project We’re leaders We are top leaders in the industry across the board We’re delivering for our customers Customer satisfaction increased from 70 to 80% Our team is growing We welcomed 3 new team members last quarter 12/02/2023 15
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05 Closing Thanks to your commitment and strong work ethic, we know next year will be even better than the last. We look forward to working together. Ana sales@contoso.com 12/02/2023 16