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Slides from 1997 Poster Overview. Transportation and Supply Chain Projects Sponsored by Partner Centers. TRANSPORTATION. Rural Transportation. Networks & Routing. Resource Utilization. Optimal Door Assignment MBTC-98-2. Truck-Barge MBTC-98-5. Trucking & Inter-Modal MBTC-98-1 & 6.

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slide2

Transportation and Supply Chain

Projects

Sponsored by Partner Centers

transportation
TRANSPORTATION

Rural

Transportation

Networks &

Routing

Resource

Utilization

Optimal Door

Assignment

MBTC-98-2

Truck-Barge

MBTC-98-5

Trucking &

Inter-Modal

MBTC-98-1 & 6

Merge

in Transit

MBTC-98-4

Trailer Mgt.

MBTC-98-3

Public Transit

MBTC-98-7 & 8

Taylor, Cole,

Malstrom, Boardman,

Meinter, Mukundh

Cole, English, Alam, Mukundh, Mohsin, Youngblood

Malstrom, Butler,

Jacob, Maxwell,

Trusty

trucking studies
TRUCKING STUDIES
  • LTL Trailer Pool Modeling
  • LTL Breakbulk Location Determination
  • LTL and TL Tool Development Using GIS
  • TL Lane and Zone Development
  • TL Marketing Paradigms
  • Intermodal Cost Analysis
  • Intermodal Simulation
merge in transit

Factory

Port

Merge Points

MERGE IN TRANSIT

Subassemblies arrive at Merge Points

from Port and Factory for light assembly

& shipment to nearby customers

door assignment

How to transfer?

DOOR ASSIGNMENT
  • Outgoing trucks
  • Incoming trucks

Terminal Manager

trailer management

I need 2 trailers !

TRAILERMANAGEMENT
  • Too many = $$$

Terminal Manager

  • Too few = poor service
truck barge
TRUCK-BARGE
  • COCITE is the Council on Cooperative Intermodal Transportation
  • Includes Members of Various Ports, Mack-Blackwell, University of Arkansas, and Other Waterway Officials
  • Formed With the Intent to Expand to Include Interested Shippers
public transit
Evaluating the role of public transit in welfare reform.

Determining the transportation requirements of the welfare to work recipients.

Forecast Transportation Requirements.

Develop models for Handling Requirements.

PUBLIC TRANSIT
transportation systems
TRANSPORTATIONSYSTEMS

Asset Monitoring

TLI-AR-98-6

MBTC-1998

4 Projects

MBTC-1999

5 Projects

tli ar 98 6 transportation systems
TLI-AR-98-6Transportation Systems
  • Monitoring Logistics Assets
  • Raytheon
  • Tom Landers, Don Taylor, and Nancy Sloan
  • Simulated the use of intelligent tracking technologies to determine the efficacy of using them for trailer tracking in TL trucking.
  • Performed a factorial analysis to represent a broad range of operating conditions
mbtc 1998 transportation systems studies
MBTC-1998Transportation Systems Studies
  • MBTC-98-5 A Feasibility Study for Truck-Barge Intermodal Freight
  • MBTC-98-6Real-TimeRouting of Shipments Considering Transfer Costs and Shipment Characteristics
  • MBTC-98-7Assessment and Development of Scheduling and Dispatching Software for Arkansas Public Transit
  • MBTC-98-8 Evaluating the Role of Public Transportation in Welfare Reform (No Poster)
mbtc 1999 transportation systems studies
MBTC-1999Transportation Systems Studies
  • MBTC-99-2 A Simple Approach to Linehaul- Backhaul Problems
  • MBTC-99-3 Marketing of Container-on-Barge (COB) Transportation to Promote Increased Utilization of Arkansas Waterways
  • MBTC-99-4/5/6 Current Research Projects in Truckload and LTL Trucking
    • Intermodal Break-Even Analysis
    • Simulation of Rail Component of IM Transit
    • Alternative Marketing and Dispatching Strategies
transportation systems1
TRANSPORTATIONSYSTEMS

TLI Projects(99) TLI Projects(00) MBTC Projects

Limited Dispatch

TLI-99-10a

Transport Mode

TLI-00-2a

1998-1999

4 Projects

Local Dispatch

TLI-99-10b

Yield Mgmt

TLI-00-5a

1999-2000

3 Projects

IM Dispatch

TLI-00-5b

IM Balance

TLI-00-5c

Long Trailers

TLI-00-7

tli ar 99 10a tli transportation projects 99
TLI-AR-99-10aTLI Transportation Projects(99)
  • Dispatching Within a Terminal City Network
  • J.B. Hunt Transport
  • Don Taylor and Alisha Youngblood
  • Partition driver pools into terminal city drivers and OTR drivers
  • Examine the effectiveness of terminal city drivers
  • Examine the impact on remaining OTR drivers
tli ar 99 10b tli transportation projects 99
TLI-AR-99-10bTLI Transportation Projects(99)
  • Analysis and Development of Tools to Support Intermodal Operations
  • J.B. Hunt Transport
  • Amelia Regan and Xiubin Wang
  • Develop tools to dispatch local ground moves in support of intermodal operations
  • Examine the impact of increasing reliance on intermodal freight operations
  • Take an initial look at equipment balance problems
tli ar 00 2a tli transportation projects 00
TLI-AR-00-2aTLI Transportation Projects(00)
  • The Analysis of Intermodal Choice Combinations for Military Supplies and Materiel
  • Defense Logistics Agency
  • Manuel Rossetti, Terry Collins and Nancy Sloan
  • Develop software to assist in modal selection for ground, air, or water for various customers and scenarios
  • Extend TLI-AR-98(00)-8

into a global environment

tli ar 00 5a tli transportation projects 00
TLI-AR-00-5aTLI Transportation Projects(00)
  • Yield Management Activities in Truckload Trucking
  • J.B. Hunt Transport, Inc.
  • Don Taylor, Derik Gibson and Soo-Seng Ong
  • Review the published literature to find examples and applications of yield management in truckload trucking
  • Drive versus wait modeling
tli ar 00 5b tli transportation projects 00
TLI-AR-00-5bTLI Transportation Projects(00)
  • Analysis and Development of Tools to Support Intermodal Operations
  • J.B. Hunt Transport, Inc.
  • Amelia Regan and Xiangwen Lu
  • An extension of TLI-AR-99-10b
  • Primary focus on improving scheduling algorithms for field implementation
  • Examine formulations for intermodal

equipment balance

tli ar 00 5c tli transportation projects 00
TLI-AR-00-5cTLI Transportation Projects(00)
  • Intermodal Network Balance and Supply Chain Management
  • J.B. Hunt Transport, Inc.
  • Don Taylor and Taimor El-Cheikh
  • A detailed examination of intermodal ramp balance
  • Merge the ramp balance problem with dray operations
  • Provide pricing guidelines to

help achieve balance

tli ar 00 7 tli transportation projects 00
TLI-AR-00-7TLI Transportation Projects(00)
  • The Effects of Extended Trailers on the Trucking Industry
  • National Science Foundation
  • Don Taylor and Shelly Gann
  • Determine the effects of longer than standard trailers on the trucking industry.
  • What are the effects on

customers, carriers, safety,

pricing, etc.

mbtc 1998 1999 transportation systems studies
MBTC(1998-1999)Transportation Systems Studies
  • MBTC-1084 A Genetic Algorithm Approach to TLT Breakbulk Terminal Door Assignment-Cole
  • MBTC-1100 Marketing of Intermodal Cost Software-Boardman
  • MBTC-1101 Finding Synergy in Intermodal Operations with Truck and Rail-Taylor
  • MBTC-1102 A Guided Local Search for the Vehicle Roting Problem with Time Windows-Cole
mbtc 1999 2000 transportation systems studies
MBTC(1999-2000)Transportation Systems Studies
  • MBTC-2003 Container Management for Multi-Modal Transportation Networks-Cole
  • MBTC-2004 Efficient Dispatching in a Terminal City Network (builds on TLI-AR-99-10a) -Taylor
  • MBTC-2005 Quantifying the Impact of Refrigerated Unit Failures-English
university of arkansas current tli projects continued
University of ArkansasCurrent TLI Projects continued

Transportation Systems

  • Analysis of Intermodal Choice Combinations Defense Logistics Agency
  • Integration of Warehouse and Trucking Functions Global Concepts Inc.
  • Mack-Blackwell Transportation Center Projects
    • Efficient Dispatching in a Terminal City Network (Kutanoglu/Taylor(UL)) MBTC 2004
    • Quantifying the Impact of Refrigerated Unit Failures (Nutter(MEEG)/English/Cassady/Taylor(UL)) MBTC 2005
    • Efficient Timing of Pickup and Delivery Assignment Decisions (Kutanoglu/Taylor(UL)) MBTC 2013
    • Determining Optimal Trailer Duty as a Function of Use and Age (Nutter(MEEG)/Cassady) MBTC 2017
    • Development of a Deterrence Function for the Gravity Modeling of Electronic Commerce (Kutanoglu/Cole/Bartolacci(PSU)) MBTC 2012
    • On-line Benchmarking Database for Transportation Providers (Rossetti/Collins) MBTC 2015
slide30

Analysis of Intermodal Choice Combinationsand Pre-positioning Strategies for Military Supplies and Materiel (TLI-AR00-2)

Leader in Logistics: Defense Logistics Agency

Project Director: Manuel Rossetti

Co-PIs: Terry Collins, Erhan Kutanoglu

Assistants: Nancy Sloan, Yeu-San Tee, Mee-Ching Chow

Problem:Determine pre-positioning strategies for supplying Pacific Rim sites that can simultaneously meet desired service and cost levels.

Objective:Develop transportation and inventory models to optimize DLA’s inventory decisions for the Pacific Rim.

methodology conclusion

Methodology/Conclusion

Methodology:

Phase 1: Evaluation of pre-existing software (ShipCost) for use in the analysis of DLA’s shipping options. Development of ShipRoutes spreadsheet application for DLA’s logistics network in the Pacific Rim. Based on the same cost models as ShipCost, it calculates total transportation cost and time for all modal combinations for a route.

Phase 2: Discovery and evaluation of multi-echelon inventory models and spreadsheets appropriate to DLA’s inventory system, considering meeting customer service requirements at the least cost for transportation, ordering, and inventory.

Conclusion:Lack of real data precluded testing the models developed by U of A.

slide32
Integrating the Warehousing and Transportation Functions of the Supply Chain—A Pull Model (TLI-AR01-06)

Global Concepts, Inc.

Project Director: Scott J. Mason

Description:Optimizing key components of the supply chain in isolation, while promoting locally optimum solutions, can result in globally sub-optimal performance.

Objective:Explore the potential advantages of integrating these two critically-linked segments during supply chain optimization using a pull model with the goal of establishing a virtual warehouse.

mack blackwell national rural transportation study center
Mack-Blackwell National Rural Transportation Study Center
  • 4 new projects
    • Efficient Timing of Pickup and Delivery Assignment Decisions (Kutanoglu/Taylor(UL)) MBTC 2013
    • Determining Optimal Trailer Duty as a Function of Use and Age (Nutter(MEEG)/Cassady) MBTC 2017
    • Development of a Deterrence Function for the Gravity Modeling of Electronic Commerce (Kutanoglu/Cole/Bartolacci(PSU)) MBTC 2012
    • On-line Benchmarking Database for Transportation Providers (Rossetti/Collins) MBTC 2015
efficient timing of pickup and delivery assignment decisions 2013
Efficient Timing of Pickup and Delivery Assignment Decisions (2013)

Industry Support: J.B. Hunt Transport

Researchers:

Erhan Kutanoglu, Univ. of Arkansas

G. Don Taylor, Univ. of Louisville

Darsono Tjokroamidjojo

Problem: Find the best time for making load assignment decisions: Should one wait for last minute opportunities or preplan these activities?

Approach: Using simulation and optimization, quantify the trade-off between having an early plan and waiting for soon-to-arrive opportunities

efficient timing of pickup and delivery assignment decisions
Efficient Timing of Pickup and Delivery Assignment Decisions

Objective:Provide a simulation and optimization-based tool for this analysis.

Current Activities

  • Have met with the JB Hunt Transport Personnel
  • Started modeling activities at UL and UA campuses:
    • Optimization: UA
    • Simulation: UL
determining optimal trailer duty as a function of use and age 2017
Determining Optimal Trailer Duty as a Function of Use and Age (2017)

Industrial Collaborator: Tyson Foods

Researchers: Darin Nutter (MEEG) and Richard Cassady, and Chet Tuck Wong

Objectives

  • to model the operation and maintenance of a refrigerated transportation system
  • to use this model to optimize trailer duty assignment
determining optimal trailer duty as a function of use and age
Determining Optimal Trailer Duty as a Function of Use and Age

Task Plan

  • identification of system scope and economic performance measures
  • modeling of the failure and repair processes
  • construction of a simulation model
  • definition of a trailer duty assignment policy
  • optimization of policy parameters
  • generation of final report

Current Activities

  • Literature Review
    • fleet buy-repair-sell policies
    • imperfect maintenance models
  • Preliminary Data Analysis
    • characterizing MBTC #2005 trailer failure data
development of a deterrence function for the gravity modeling of electronic commerce 2012
Development of a Deterrence Function for the Gravity Modeling of Electronic Commerce (2012)

Industry Support: ABF

Researchers: Erhan Kutanoglu and Mike Cole, Univ. of Arkansas

Mike Bartolacci, Penn State

Research Assistant: Adam Ho

Problem: What is the effect of increasing e-commerce activities on the existing physical transportation network?

Approach: Estimate the amount of commerce generated by e-commerce using Gravity Models

development of a deterrence function for the gravity modeling of electronic commerce
Development of a Deterrence Function for the Gravity Modeling of Electronic Commerce

Objective: Develop a modeling tool to help planners estimate e-commerce generated transportation flows and predict the effects on the transportation system

Current Activities

  • Data sources: Dept. of Commerce, DOT, Retail Foundation.
  • Developed the preliminary version of the gravity model using the data gathered
  • Will present initial results in INFORMS San Antonio meeting in November
  • Working on a paper for a conference in March 2001
on line benchmarking database for transportation providers 2015
On-line Benchmarking Database for Transportation Providers (2015)

Researchers: Manuel D. Rossetti and Terry Collins

Research Assistant:Tat Yuen Sang

Goal:

  • To support innovation and dissemination of knowledge within the area of benchmarking analysis for transportation carriers

Task Plan:

  • Develop transportation provider benchmarking survey instrument.
  • Design benchmarking database.
  • Develop and test database.
  • Market the web site to transportation providers.
  • Final report generation and documentation.
on line benchmarking database for transportation providers
On-line Benchmarking Database for Transportation Providers

Current Activities

  • Reviewing literature to develop comprehensive performance metrics for evaluating transportation providers
  • Developing list of transportation providers
  • Conceptual design of benchmarking database using Unified Modeling Language (UML) methodology.
mack blackwell national rural transportation study center1

Mack-Blackwell National Rural Transportation Study Center

  • Active Projects
    • Efficient Dispatching in a Terminal City Network (Kutanoglu/Taylor(UL)) MBTC 2004
    • Quantifying the Impact of Refrigerated Unit Failures (Nutter(MEEG)/English/Cassady/Taylor(UL)) MBTC 2005
efficient dispatching in a terminal city network 2004
Efficient Dispatching in a Terminal City Network (2004)

Industry Support:J.B. Hunt Transport

Researchers: Erhan Kutanoglu, University of Arkansas,

G. Don Taylor, University of Louisville and Darsono Tjokroamidjojo

Problem: Capture the tradeoff between driver retention and utilization objectives

Approach: Form a terminal city network by partitioning drivers and network. Regularize the tour generation using simulation and optimization

Objective: Provide engineered solutions to dispatching problems within terminal cities

efficient dispatching in a terminal city network
Efficient Dispatching in a Terminal City Network

Activities:

  • Developed an aggregate planning model that incorporates simulation and optimization
  • Developed a driver-based operational model
  • Conducted experiments with real data
  • Showed that one can both improve the loaded mileage and regularize tours
  • Submitted a journal paper
  • Wrapping up the MBTC report
  • Will present results in INFORMS San Antonio Meeting in November
quantifying the impact of refrigerated unit failures 2005
Quantifying the Impact of Refrigerated Unit Failures (2005)

Researchers: Darin Nutter (MEEG), John English, Richard Cassady, and Don Taylor (UL)

Research Assistant: Chet Tuck Wong

Objectives

  • to study the impact of refrigerated unit failures on the logistical infrastructure within the poultry processing industry
  • to construct a simulation model of this process and determine opportunities for improved performance

Task Plan

  • identify and characterize reefer failure types
  • construct a simulation model of system
  • exercise the model and analyze results for an array of scenarios
  • generate final report
quantifying the impact of refrigerated unit failures
Quantifying the Impact of Refrigerated Unit Failures

Current Activities

  • developed simulation model
  • developed experimental test matrix
  • performing simulation runs and data analysis