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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.com1 - 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.tr1 - 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.trWe 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.nl1 - 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