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INFORMS Nashville – 2016
446
WC60
Cumberland 2- Omni
Prescriptive Analytics for Transportation
and Inventory
Sponsored: TSL, Freight Transportation & Logistics
Sponsored Session
Chair: Wesley Dyk, Revonos, Lone Tree, CO, United States,
wesley.dyk@revonos.comCo-Chair: Alexander Engau, University of Colorado Denver, NA,
Denver, CO, United States,
alexander.engau@ucdenver.edu1 - Stochastic Liquid Inventory Management For Transportation
And Logistics
Alexander Engau, Associate Professor, University of Colorado
Denver, Denver, CO, United States,
aengau@alumni.clemson.edu,
Wesley Dyk
This talk presents a recent case study with an independent energy provider in the
Denver-Julesburg Basin in Northeastern Colorado, one of the largest natural gas
deposits in the United States. In contrast to related exploration and production
operations in other geographic locations, for this present case, the inherent
logistics of liquid products including crude oil and waste water is limited to
distribution and transportation primarily using trucks which require the careful
management of their generally uncertain load inventories and qualities. These
challenges will be addressed in some detail and their current solutions using
stochastic optimization outlined for questions and discussion.
2 - Network Flow Relaxations For Batched Transportation Models
Wesley Dyk, Revonos,
wesley.dyk@revonos.com, Alexander Engau
We present a new approach to solve mixed-integer batched transportation models
using a new class of network flow relaxation for actual use in real-time
applications. This approach has been implemented in actual practice for inventory
management and liquid hauling of crude oil and waste water using trucked
transportation in the petroleum exploration and production sector to give
directive insights to decision makers in short timeline scenarios.
3 - Adaptive Robust Optimization For Tactical Vehicle
Routing Problems
Anirudh Subramanyam, Carnegie Mellon University, Pittsburgh,
PA, United States,
asubramanyam@cmu.edu,Frank Mufalli,
Jose M Pinto, Chrysanthos E Gounaris
It is fairly common during the tactical planning of multi-period vehicle routing
operations that customer requests arrive dynamically over a planning horizon.
This is the case in settings where customer service is provided by appointment. In
such settings, the dispatcher must incorporate enough flexibility in the routing
plan to accommodate potential customers who have not yet called in to place
their order. Failure to do so may result in insufficient fleet capacity to serve future
requests. We shall describe an adaptive robust optimization approach to solve this
problem and illustrate the tradeoffs in using an adaptive strategy over a static
strategy in terms of computational time and cost savings.
4 - Analytics For Logistics Supply Chain: An Overview And
Research Outlook
M. Ali Ulku, Rowe School of Business, Dalhousie University,
Halifax, NS, Canada,
ulku@dal.caThere are myriad of opportunities, and thereby challenges, for research and
education in supply chain management. This talk comprises of an overview of the
current literature and practices and an outlook as to how companies can employ
analytics for logistics supply chains so as to gain a competitive edge.
WC61
Cumberland 3- Omni
Yard and Terminal Operations
Sponsored: Railway Applications
Sponsored Session
Chair: Tyler Dick, University of Illinois, Urbana, IL, United States,
ctdick@illinois.edu1 - Switch-it; A New Yard Modeling Tool
Chip Kraft, Transportation Economics & Management Systems,
Inc.,
ckraft@temsinc.comSWITCH-IT simulates any type of rail yard, tracking each car movement as trains
arrive and depart and cars are sorted, inspected, repaired and flat switched.
Command scripts give the user total control over the simulation. The model
supports fixed block-to-track assignment, dynamic block “swinging” and matrix
sorting; pull and cut, shove and couple, and push back to clear from either end of
the yard. It simulates lead confliction, crossovers and ladder tracks. Animation
uses a “console” presentation which accepts, but does not require detailed track
network coding. Its simple yet powerful approach to modeling complex yard
operations provides quick feedback and a simple user interface.
2 - Animation Of Switch-it Analysis Using Anylogic
Roger William Baugher, President, TrAnalytics, LLC,
100 Villamoura Way, Johns Creek, GA, 30097, United States,
rwbaugher@aol.comIn an earlier presentation, the features and capabilities of the SWITCH-IT program
were described and demonstrated. While the program provides an animation
capability, a richer animation environment was desired. Using a newly developed
interface, data were fed to AnyLogic’s Rail Library, resulting in new and enhanced
animation capabilities, which will be described and demonstrated.
3 - Blocking Capacity, Throughput Volume And Level Of Service In
Hump Classification Yards
Tyler Dick, University of Illinois,
ctdick@illinois.eduThis presentation summarizes simulation research on fundamental hump
classification yard capacity relationships. In particular, simulation experiments
have been conducted to quantify the relationship between level of service and
throughput volume of railcars as a function of the number of blocks assembled in
the yard.
4 - Boston North Terminal District: Infrastructure Demand Modeling
And Improvements
Bradford Kippen, University of Illinois, Urbana, IL, 61801,
United States,
kippen2@illinois.eduBoston’s Tower A Interlocking connects all of the MBTA’s North Side commuter
rail lines with North Station terminal and has over 260 daily scheduled trains.
Proposed replacement of the Charles River Drawbridges, critical interlocking
appliances, catalyzed development of Infrastructure Demand Models which
quantify minute to minute demand for infrastructure at key locations given a
proposed plan of operations and conditional infrastructure constraints. This
presentation outlines the project background, modeling methodology, proposed
improvements, and potential applications.
WC63
Cumberland 5- Omni
New Objectives and Solution Concepts in
Location Analysis
Sponsored: Location Analysis
Sponsored Session
Chair: Dmitry Krass, University of Toronto, 105 St. George St.,
Toronto, ON, M5S 3E6, Canada,
krass@rotman.utoronto.ca1 - Correct Discounted Costs In Hub Location Models
Vladimir Marianov, Pontificia Universidad Catolica de Chile,
marianov@ing.puc.cl, H.A. Eiselt, Armin Luer-Villagra
Frequently, traditional single allocation hub location models incorrectly apply
discounted costs to trip legs without enough traffic to economies of scale to apply.
Conversely, discounts are not applied to some legs with high traffic. We develop a
model and a heuristic to correct this flaw. The assumptions are the same as in the
usual models. Computational experience is presented.
2 - Multi-objective Single Median Models
Joyendu Bhadury, University of North Carolina-Greensboro, NC,
j_bhadur@uncg.edu,HA Eiselt
This talk will focus on one median problems in location theory with multiple
objectives. The goal is to find Pareto-Optimal Set of solutions in each case. Solved
models will be discussed and new ones will be presented along with their
applications in practice.
WC60