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INFORMS Nashville – 2016

474

WD59

Cumberland 1- Omni

Facility Logistics - Potpouri

Sponsored: TSL, Facility Logistics

Sponsored Session

Chair: Debjit Roy, Indian Institute of Management - Ahmedabad,

34355, India,

debzitt@gmail.com

1 - Retrieving Multiple Loads In Very High Density Storage Systems

Masoud Mirzaei, Erasmus University,

mirzaei@rsm.nl

,

Masoud MirzaeiB.M. De Koster, Nima Zaerpour

Compact storage systems aim to utilize the available space more efficiently than

conventional aisle-based storage systems. The most compact system has only one

open space available to perform the retrieval and storage requests. More open

locations, reduce space usage, but can reduce the retrieval time. However, in both

situations, much space and time can be saved by performing multiple-load

retrieval using a limited number of open locations. Current models for such

systems study retrieving loads one at a time. We develop optimal models to do

this for two loads and propose heuristics for more loads. Results show savings of

20% can be achieved compared to single-load retrieval.

2 - Loading And Unloading Trains And Trucks At Container Terminals

Debjit Roy, Indian Institute of Management - Ahmedabad,

Ahmedabad, 380015, India,

debjit@iima.ac.in,

Jan-Kees Van Ommeren, Amir Gharehgozli

We first develop a closed queuing network with a fixed number of Automated

Guided Vehicles that continuously circulate in the network during train loading

or unloading process and interact with truck arrivals at the stacking cranes. We

develop exact solutions for the case with one automated stacking crane by using

an imbedded Markov chain approach. We then use these results to develop a

semi-open queuing network model to analyse and approximate the expected

throughput times for handling containers that arrive via trains (bulk arrivals) and

trucks (single arrivals).

3 - A Fluid Model For Optimal Lot Selection And Dispatching Policies

In Semiconductor Wafer Fabs

Dima Nazzal, Georgia Institute of Technology, Atlanta, GA, 30332,

United States,

dima.nazzal@gatech.edu,

Shabbir Ahmed,

Kelly Bartlett, Haejoong Kim, Junho Lee, George L Nemhauser,

Matias Siebert Sandoval, Joel Sokol

In semiconductor manufacturing, congestion in an automated material handling

system may negatively impact production throughput. For a prototype facility, we

identify optimal lot selection and dispatching policies for various WIP levels and

workload conditions. We propose a fluid-model lot selection policy that iteratively

optimizes selection based on current WIP distribution.

WD60

Cumberland 2- Omni

Time-Sensitive Delivery Planning and Routing

Sponsored: TSL, Freight Transportation & Logistics

Sponsored Session

Chair: Okan Orsan Ozener, Ozyegin University, Istanbul, Turkey,

orsan.ozener@ozyegin.edu.tr

1 - A Lagrangian-based Approach For Consolidating Freight Of

Perishable Products

Christine Vi Nguyen, Northern Illinois University, DeKalb, IL,

United States,

cnguyen@niu.edu

, Alejandro Toriello,

Maged M Dessouky

We study a supply chain with small suppliers of perishable products, where

shipping via a shared consolidation center allows for more economical FTL rates

versus LTL or courier rates. We propose a Lagrangean relaxation of the center’s

inventory capacity to decompose the problem by destination, and develop a

related heuristic that balances consolidated shipping costs and inventory costs.

2 - Same-day Delivery Planning With Store Fulfillment

Ming Ni, University at Buffalo,

mingni@buffalo.edu

, Qing He,

Jose Walteros, Xuan Liu, Arun Hampapur

This study presents a same-day delivery planning with store fulfillment problem,

which can be characterized by three main factors, the store selection, the delivery

fleet sizing, and the multi-commodity distribution for online shoppers. It develops

a mix integer programming model to represent the problem and use a Benders

decomposition based approach to solve it efficiently. The numerical examples are

derived from same day delivery from a real-world retailer store network.

3 - A Partially Time-expanded Network-based Solution Approach

For The Traveling Salesman Problem With Time Windows

And Its Variants

Minh Duc Vu, Quinlan School of Business, Loyola University

Chicago, 16 E. Pearson, Chicago, IL, 60611, United States,

dvu3@luc.edu,

Natashia Boland, Mike Hewitt, Martin Savelsbergh

We present an exact approach for solving the Traveling Salesman Problem with

Time Windows (TSPTW) that is based on repeatedly solving a mixed integer

programming formulation of the problem over partially time-expanded networks.

We show that the same algorithmic framework can be applied to different

objectives for the problem. We develop new speed-up techniques for the

algorithm and with an extensive computational study we are able to outperform

many of the state-of-the-art approaches. Finally, we show how the algorithm can

be adapted to variants of the TSPTW wherein the makespan is the objective or

travel times are time dependent.

4 - Minimizing Routing Costs In Blood Supply Chain

Okan Orsan Ozener, Ozyegin University,

orsan.ozener@ozyegin.edu.tr

We study the routing of blood collection vehicles for managing the platelet supply

in blood supply chain. In order to extract platelets, donated blood has to be

processed at a central processing facility within six hours of donation time. Blood

collection organizations have to dispatch collection vehicles and schedule pickups

from the donation sites so that the donated units can be used in platelet

production. The objective is to collect and process a pre-specified number of

donations for platelet production via a limited number of vehicles at minimum

transportation cost. In our analysis, motivated by the practices in real-life, we

cluster the donation sites so that a single vehicle serves the donation sites in each

cluster. We propose a solution method based on route generation/selection and

test the performances of the proposed method on randomly generated instances.

WD61

Cumberland 3- Omni

Scheduling in Passenger-Oriented Railway Networks

Sponsored: Railway Applications

Sponsored Session

Chair: Nikola Besinovic, Delft University of Technology, Mekelweg 2,

Deflt, 2628, Netherlands,

N.Besinovic@tudelft.nl

1 - Functional Relationship Between Primary And Secondary Delays

On Railway Lines

Steven Harrod, Technical University of Denmark,

stehar@dtu.dk

,

Fabrizio Cerreto, Otto Anker Nielsen

Performance, robustness, and punctuality of railway lines are most commonly

evaluated with simulation software. This research proposes a cubic relationship

between aggregate train delays over the planning horizon and identifiable

primary delays. This relationship provides a heuristic for reducing the number of

simulation instances. The method is presented in the context of ongoing research

into robustness and punctuality on the Danish railways under the IPTOP research

project. In addition, the presentation will discuss the identification of cause and

effect between primary and secondary delays in a very large data set.

2 - Passenger Train Service Network Design Based On A

State-space-time Network

Lingyun Meng, Beijing Jiaotong University,

menglingyun2001@hotmail.com,

Xuesong Zhou

We propose a solution framework for matching passenger travel demand to

vehicle transport services and vehicles to infrastructure in a railway system based

on a triple-layer (state-space-time) network. Following a method for carefully

constructing the triple-layer network, we present an integer programming

formulation and a lagrangian relaxation solution framework. Numerical

experiments are conducted for validating the proposed approach.

3 - Towards Operationally Feasible And Robust Railway Timetables

Nikola Besinovic, Delft University of Technology, Stevinweg 1,

Delft, Netherlands,

n.besinovic@tudelft.nl

, Rob M.P. Goverde

Railway timetabling has been a focus of research over the years and multiple

approaches have been proposed. However, most of the existing models for

timetabling focus on a macroscopic level of detail, taking stations as nodes and

tracks between as arcs, and disregard changes in operational aspects. We propose

an optimization approach that integrates a macroscopic model with microscopic

details. The objective is to find a robust timetable that is also operationally feasible

and ready to be implemented in practice. In addition, the model allows for

optimal use of infrastructure capacity and reduces wasted resources. We present

computational results on real-life cases from the Dutch railways.

WD59