[PDF] ALIO Back Matter

MB12
3 - Optimization of Piece-wise Linear Functions
Andreas Griewank, Humboldt-Universität zu Berlin,
Unter den Linden 6, Berlin, 10099, Germany,
griewank@mathematik.hu-berlin.de, Felix Dalkowski
The continuous approach to mine planning leads naturally to piecewise linear
discretizations. Such problems are always semi-smooth and can be solved by
suitable bundle type methods. We present a new methodology based on automatic
piece-wise linearization of in the spirit of automatic differentiation.
■ MB12
Aula 363- Third Floor
Issues in Supply Chain Management
Cluster: Supply Chain Management
Invited Session
Chair: Frank Y. Chen, The Chinese University of Hong Kong, Systems
Engineering & Engineering Mgmt, Shatin, N.T., Hong Kong - PRC,
yhchen@se.cuhk.edu.hk
1 - Dynamic Rental Contract Design for Wholesale Stores at an
Electronic Outlet Center
Xiuli Chao, Professor of Industrial and Operations Engineering,
University of Michigan, 1205 Beal Ave, Ann Arbor, MI, 48109,
United States of America, xchao@umich.edu, Jian Chen, Yifan Dou
We consider the rental contract renewal problem in which the outlet’s management
needs to design an annual rental contract for the wholesale store managers to
maximize its profit. We design a rent contract for the outlet center based on models
of asymmetric information, in which the outlet store provides flexibility to the
individual stores in selecting a rental contract using publicly available information
for the entire outlet center.
2 - On the Structural Analysis of Inventory Problems with
Inventory-dependent Demand
Frank Y. Chen, The Chinese University of Hong Kong, Systems
Engineering & Engineering Mgmt, Shatin, N.T., Hong Kong - PRC,
yhchen@se.cuhk.edu.hk, Yi Yang
We consider how inventory should be managed when inventory affects sales in a
periodic review setting. Models to be analyzed include those with a general demand
function (by which demand varies with the stocking or displayed quantity) and a
general cost structure. Capitalizing on our prior experience gained in related
inventory-pricing control problems, we are able to establish structural results for
these models.
3 - Managing Capacity in a Build-to-order Environment
Melda Ormeci Matoglu, Ozyegin University, Faculty of Econ. & Bus.
Admin., Istanbul, Turkey, Melda.Ormeci@ozyegin.edu.tr,
John Vande Vate
We model managing capacity in a BTO environment as a Brownian drift control
problem. With a practical restriction we model it via a structured LP and show an
optimal solution to the restricted problem can be found among a special set of
policies. We exploit new relationships between complementary dual solutions and
relative value functions to obtain a lower bound on the avg. cost of any
nonanticipating policy. We show that our LP approach is asymptotically optimal for
the unrestricted problem.
■ MB13
Aula 364- Third Floor
Integrated Planning and Forest Road Investments
Cluster: Supply Chain Management in Natural Resources
Invited Session
Chair: Mikael Frisk, Skogforsk, Box 3, Savar, SE-91821, Sweden,
mikael.frisk@skogforsk.se
1 - Solving the Indirect Covering Tree Problem Heuristically:
An Application to Forest Road
David Meignan, Post-doc, Polytechnique Montréal, Campus de
líUniversité de Montréal, 2500 chemin de Polytechnique,
Montréal, QC, H3T 1J4, Canada, david.meignan@polymtl.ca,
Jean-Marc Frayret, Gilles Pesant
An optimization problem arising in forest road construction is to plan new harvest
roads. This road network must cover several areas at minimum cost and consider a
maximum skidding distance. The problem is expressed as an indirect covering tree
problem. It consists in determining a tree that covers a set of vertices so as to
minimize the service and construction costs. A GRASP metaheuristic is proposed.
Computational results are reported on randomly generated and real instances.
ALIO / INFORMS International – 2010
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2 - Integrated Harvest Planning and Biomass Distribution
Satyaveer Chauhan, Assistant Professor, Concordia University, JMSB,
1455 De Maisonneuve Blvd. West, Montréal, QC, H3G 1M8, Canada,
sschauha@alcor.concordia.ca, Sophie D’Amours, Luc LeBel
We consider a two echelon supply management problem where forest contractors
are interested in developing harvesting plan based on the demand of high-quality
fiber as well as biomass (fuel) products. The selection of harvesting blocks depends
upon the availability of the fiber, availability of the product mix, transportation and
production costs. This paper presets an integrated model with a solution approach.
3 - Optimization to Support Forest Road Investment Strategies
in a Changing Climate
Mikael Frisk, Skogforsk, Box 3, Savar, SE-91821, Sweden,
mikael.frisk@skogforsk.se, Mikael Rönnqvist, Patrik Flisberg
The forest road network is influenced by the climate, especially rainfall and thaw
causing accessibility problems. A difficult task is to decide which investment in the
road network that gives the highest return, taken into account future harvesting,
changes in climate and also how road investments can interplay with timber storage
and the use of CTI. We present an optimization model which gives answers to
which roads to upgrade, how much timber to store and how CTI-trucks is optimally
used.
■ MB14
Aula 365- Third Floor
Retail Operations
Cluster: Game Theory and its Applications
Invited Session
Chair: Marcelo Olivares, Assistant Professor, Columbia University,
Uris Hall, Room 417, New York, NY, 10027, United States of America,
mo2338@columbia.edu
1 - Dynamic Pricing and Customer Relationships: Selling to Learn or
Learning to Sell?
Rene Caldentey, Associate Professor, NYU Stern, New York, NY,
United States of America, rcaldent@stern.nyu.edu,
Paulo Rocha e Oliveira, Gabriel Bitran
Knowing each customer’s preferences enhances a firm’s ability to design and offer
the right selection and configuration of products and services. We use an axiomatic
approach to develop a learning model that enables us to quantify the trade-off
between the value and the cost of knowing the customers. This learning model is
used to investigate how pricing policies can be used to speed up the learning process
while maximizing the firm’s financial performance.
2 - Predicting Out of Stock using Transactional Data for a
Supermarket Chain
Luis Aburto, CERET, Departamento de Ingenieria Industrial,
U. de Chile, laburto@dii.uchile.cl, Claudio Pizarro, Trinidad Figeroa
POS transactional data is a dynamic and precise source of information which reflects
product turnover in retail shelves and changes in product demand, useful to predict
Out of Stock (OOS). This project builds a decision tree model to forecast OOS for a
supermarket using transactional data. Using KDD methodology we built several
classification models to predict OOS likelihood at sku-day level, using product
demand data and its fluctuation in time, as well as suppliers and product
characteristics.
3 - The Effect of Waiting Time on Customer Purchases:
An Empirical Study
Marcelo Olivares, Assistant Professor, Columbia University, Uris Hall,
Room 417, New York, NY, 10027, United States of America,
mo2338@columbia.edu
This paper studies empirically how customer delays in a supermarket affect
customer purchases. We collected data on queue lengths using video-cameras and
image recognition. These data were matched with point-of-sale data to estimate the
effect of expected delays on sales. We also provide some insights on how these
results can be used to optimize staffing decisions.