Informs Annual Meeting 2017

MD66

INFORMS Houston – 2017

4 - Service Network Design at the Polish Post Maciek A.Nowak, Loyola University Chicago, Department of Information Systems, Graduate School of Business, Chicago, IL, 60611, United States, mnowak4@luc.edu, Mike Hewitt, Bogumil Kaminski, Michal Pliszka Solving the Service Network Design (SND) problem assists a freight transportation firm by prescribing the choice of paths for shipments and the services or resources necessary to execute them, while achieving the economic and service-quality targets of the carrier. This research presents an algorithm that applies SND to assist the Polish Post in developing a more efficient and effective network. The algorithm extends previous research in this area through the consideration of a heterogeneous vehicle fleet and driver pool, providing insight into the large scale, stochastic network operated by the largest employer in Poland. 371A Resource Allocation in Port Operations I Sponsored: Transportation Science & Logistics Sponsored Session Chair: Xi Xiang, Tsinghua University, Hai Dian, Beijing, 100084, China, xiangx16@mails.tsinghua.edu.cn 1 - A Decomposition Approach for the Continuous Berth Allocation Problem Ramez Kian, Istanbul Bilgi University, Department of Industrial Engineering,, Istanbul Bilgi University, Istanbul, Turkey, ramezk@bilkent.edu.tr Berth allocation problems arise in the maritime logistics which address the schedule and the location of berthing for vessels in many container terminals. This class of problems is shown to be NP-hard in the literature and usually, are dealt with heuristics. In this work, I propose a decomposition approach to providing a relatively fast solution approach for the real moderate-sized problem instances. A numerical computation analysis is provided to compare the efficiency of the solution algorithms. 2 - Assignment and Scheduling of Disrupted Barges Liliana Delgado Hidalgo, Doctoral Candidate, University of Arkansas and Universidad del Valle, 4207 Bell Engineering Center, Fayetteville, AR, 72701, United States, ld002@uark.edu, Heather Nachtmann, Chase Rainwater We study the assignment and scheduling of disrupted barges to inland ports to minimize the value loss during inland waterway disruptions. Initially, we formulated our problem as a vehicle routing problem with time windows (VRPTW) and then reformulated the VRPTW via Dantzig-Wolfe decomposition method (DW), which yields better linear-relaxation bounds. The DW reformulation decomposes the problem into an upper level master problem and a lower level subproblem that is more tractable to solve. The subproblem corresponds to an elementary shortest path problem with resources constraints (ESPPRC). A case example is presented to illustrate a ESPPRC solution technique. 3 - Port Pilotage Discrete Event Simulation with GIS in Anylogic Port pilotage is an important step in vessels arrival or departure process. For pilotage, a local pilot boards a vessel and navigates it through the water channels. This talk presents a simulation model on the process of vessel arrival, waiting for the pilot to be boarded, and navigating through waterway to certain docks for port operation. This model is created in AnyLogic with Geographical Information System (GIS) support and user interface. It helps the port management and decision making based on the simulation results. 4 - Pilot and Chemical Tanker Scheduling Problem in a Port Berna Tokgoz, Assistant Professor, Lamar University 4400 MLK Blvd. P.O. Box 10009, Beaumont, TX, 77705, United States, btokgoz@lamar.edu, Burak Cankaya, Ezra Wari Chemical tankers differ from many other types of vessels by carrying up to 30-40 different types of liquid loads to different terminals in a port. One of the constraints in port scheduling in canal type of ports is Pilot Scheduling. It is a sequence dependent pre-setup time. Another one of the parameters in scheduling chemical vessels is the tank-cleaning time after each operation. Which is the sequence-dependent post-setup times. The research problem setting in this study contributes to the job shop scheduling and transportation scheduling literature with an open-shop scheduling problem with sequence-dependent pre and post- setup times for vessels. MD66 Weihang Zhu, Associate Professor, Lamar University, PO Box 10032, Beaumont, TX, 77710, United States, weihang.zhu@lamar.edu, Mohammed Altayeb

5 - A Bi-objective Robust Model for Berth Allocation Scheduling under Uncertainty Xi Xiang, Dr., Tsinghua University, Tsinghua University,Hai Dian, Beijing, Beijing, 100084, China, xiangx16@mails.tsinghua.edu.cn This paper examines a berth allocation problem with consideration of uncertainty factors, mainly including arrival and operation time of the calling vessels, and formulates a bi-objective robust berth model which focuses on economic performance and customer satisfaction. The model aims to optimize the robustness of berth allocation policy for the two objectives. An adaptive grey wolf optimizer algorithm is developed to solve the proposed model. Finally, the performance of the heuristic is evaluated by a large number of random generated instances and the experimental results show that the proposed heuristic has good solution quality and calculation efficiency. 371B Design for Resilience in Emerging Complex Systems Sponsored: Quality, Statistics and Reliability Sponsored Session Chair: Zhaojun Li, Western New England University, Springfield, MA, 01119, United States, zhaojun.li@wne.edu Co-Chair: Tongdan Jin, Texas State University, San Marcos, TX, 78666, United States, tj17@txstate.edu 1 - A General Framework for Evaluating Supply Chain Resilience Xi Chen, University of Michigan-Dearborn, 2290 Engineering Complex, 4901 Evergreen Rd, Dearborn, MI, 48128, United States, xichenxi@umich.edu, Zhimin Xi, Pengyuan Jing As the complexity of supply chain structures and the frequency of their disruptions rise, businesses are increasingly recognizing the value of supply chain reliability and resilience (SCRR). A number of efforts have been devoted to define SCRR or to develop risk mitigation strategies for their improvement. However, a key question remaining to be answered is how SCRR should be quantified. This work aims to fill this gap by proposing a unified framework for evaluating SCRR that internalizes design inputs and is flexible to varying degrees of data availability. 2 - Enhancing Resilience of Distribution Grids via Intermittent Renewable Power Tongdan Jin, Texas State University, 601 University Drive, Ingram School of Engineering, San Marcos, TX, 78666, United States, tj17@txstate.edu, Honggang Wang Reliability and resilience are the key to designing and operating complex power systems. We propose to integrate distributed wind and solar power to achieve four objectives: (1) bidirectional power flow; (2) customized service reliability; (3) high resilience against extreme weather; and (4) (2) zero-carbon emissions. A 13-node distribution network is used to illustrate the conceptual idea and the preliminary findings are also discussed. 3 - Physical Unclonable Function Based Implementation and Application for Securing IoT Devices Ruolin Zhou, Assistant Professor, Western New England University, 1215 Wilbraham Rd, Springfield, MA, 01119, United States, ruolin.zhou@wne.edu, Jed Briones, Yuan Liu, Zhaojun Li To defend against threats of bitstream decoding and hijacking the system, we encrypt the bitstream to enhance the security of FPGA (Field Programmable Gate Array) based IoT (Internet of Things) devices. FPGAs can enable vastly growing IoT applications since they can interface with the outside world easily with low power, low latency, high determinism with re-programmable and re-configurable capabilities. A completely unique key for encryption through a physical unclonable function (PUF) is implemented on an IoT device. Such an implementation leverages the intrinsic physical characteristics of the FPGA in order to generate a secure, reliable, and unclonable encryption key. MD67

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