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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.com

Co-Chair: Alexander Engau, University of Colorado Denver, NA,

Denver, CO, United States,

alexander.engau@ucdenver.edu

1 - 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.ca

There 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.edu

1 - Switch-it; A New Yard Modeling Tool

Chip Kraft, Transportation Economics & Management Systems,

Inc.,

ckraft@temsinc.com

SWITCH-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.com

In 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.edu

This 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.edu

Boston’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.ca

1 - 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