Informs 2015

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INFORMS Philadelphia – 2015
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4 - Lot Sizing on Multiple Lines with a Single Setup Operator
Dirk Briskorn, University of Wuppertal, Rainer-Gruenter-Str. 21,
Lehrstuhl för Produktion und Logistik, Wuppertal, 42119,
Germany,
We consider a lot sizing problem with multiple production lines. There is a single
setup operator who needs to be present at a line during setup operations. The
lines are otherwise independent and underlie the characteristics of the capacitated
lot sizing problem. We present an heuristic approach focussing on the setup
sequence of the setup operator. We outline a method yielding initial solutions to
be fed to a neighbourhood search algorithm. Finally, we provide first
computational results.
5 - Stochastic Lot-sizing and Cyclical Scheduling with Sequence
Dependent Setup Time: The Case of Wine
Alejandro Mac Cawley, Assistant Professor, P. Universidad
Catolica de Chile, Vicuna Mackenna 4860 Macul, Santiago,
7820436, Chile,
We modified a dynamic vehicle routing formulation to determine optimal cyclical
schedules and lot sizes with a stochastic component. Which is: variability of setup
times and the probability of a certain product or SKU to require production on a
given planning horizon is added into the formulation. Solutions will be
benchmarked using the variability (variance) of the optimized solution and two
different metrics for the objective function: first, line utilization and second,
minimize total costs.
WB27
27-Room 404, Marriott
Applications and Methodological issues on MCDM
Sponsor: Multiple Criteria Decision Making
Sponsored Session
Chair: Danielle Morais, Assistant Professor, Universidade Federal de
Pernambuco, Management Engineering Department, Recife, PE, Brazil,
Co-Chair: Adiel T De Almeida, Professor, Universidade Federal de
Pernambuco, Caixa Postal 7462, Recife, PE, 50630-971, Brazil,
1 - Subcontractor Selection in Civil Construction
Luciana Alencar, UFPE, Rua Acadeímico Hélio Ramos, s.n.,
Recife, Brazil, , Adiel T De Almeida
Most of the activities in construction projects are carried out by subcontractors.
Based on this, it is essential for the contractor to have a structured methodology
for selecting them. In this study, it is presented a model for subcontractor
selection using an additive-veto multicriteria model, in which the contractors can
incorporate the veto notion for those subcontractors’ criteria performances that
he thinks that is unacceptable. An application is presented.
2 - An Mcdm Model to Assist Preventive Maintenance for a Water
Well Equipment in a Low Income Community
Adiel De Almeida Filho, Assistant Professor, Universidade Federal
de Pernambuco, Caixa Postal 7471, Recife, PE, 50630-971, Brazil,
, Madson Monte
This work presents a multiple criteria decision model for the preventive
maintenance planning of a water well equipment located at a low-income
community in Brazil. This specific problem has been addressed considering the
local context and limitations in order to find a compromise between cost and
service level when defining the time interval for preventive maintenance.
3 - PROMETHEE Method with Surrogate Weights for Group
Decision Making
Danielle Morais, Assistant Professor, Universidade Federal de
Pernambuco, Management Engineering Department, Recife, PE,
Brazil, Luciana Alencar,
Tharcylla Negreiros, Adiel T De Almeida
A large number of multicriteria group decision models have been developed,
differing from each other the quality and quantity of information required.
PROMETHEE has been applied in many group decisions, mainly when it is
possible to define criteria weights. However, establishing weights can be hard and
in some cases is necessary deal with imprecise information regarding the
importance of criteria. Thus, we propose a group decision model, integrating the
PROMETHEE method with surrogate weights.
WB28
28-Room 405, Marriott
Economics of Auctions
Cluster: Auctions
Invited Session
Chair: Lin Hao, University of Notre Dame, 351 Mendoza College of
Business, Notre Dame, IN, United States of America,
1 - Who Benefits from Free Lunch? An Examination of Return
Policies at Private Fashion Sale Sites
Yixin Lu, Assistant Professor, VU University Amsterdam,
Netherlands, Alok Gupta, Wolf Ketter
This paper examines the role of return policy at private fashion sale sites (PFSS)
that offer limited-time deals of fashion merchandise to registered customers.
Compared to traditional online fashion retailers, PFSS often employ more strict
return policies to minimize the product return rate. We propose a simulation
framework to compare the effects of different return policies on seller’s revenue.
2 - The Cost of Running an Auction and Implications to the Optimal
Reserve Price
Zohar Strinka, PhD Candidate, University of Michigan,
1205 Beal Ave., Ann Arbor, MI, 48109, United States of America,
A common question in the auction literature is whether a seller can credibly
commit to keep a good if the bidders fail to meet the reserve price. This paper
shows that by modeling the seller’s problem as a multi-round auction with
reserve prices in each round, we can distinguish an inability to commit from
failure to model the full problem. In addition to our parametric analysis, this
modeling framework opens the door to a more sophisticated understanding of the
costs of a failed auction.
3 - Understanding the Effect of Jump Bidding in Overlapping
Online Auctions
Lin Hao, University of Notre Dame, 351 Mendoza College of
Business, Notre Dame, IN, United States of America,
, Yong Tan, Arvind Tripathi
In electronic markets, overlapping online auction has emerged as a viable and
efficient mechanism for large retailers desiring to clear off their excessive
inventories. In this paper, using a dataset from a reputable website we empirically
studied the effect of jump bidding behavior on the outcomes of overlapping
online auctions.
WB29
29-Room 406, Marriott
Data Analytics in Pricing and Revenue Management
Sponsor: Analytics
Sponsored Session
Chair: Jian Wang, Vice President, Research & Development, The
Rainmaker Group, 4550 North Point Parkway, Alpharetta, GA, 30022,
United States of America,
1 - Competitive Rate Information: Use and Misuse in Hospitality
Revenue Management
Alex Dietz, Advisory Industry Consultant, SAS Institute, 100 SAS
Campus Drive, Cary, NC, 27513, United States of America,
In today’s Big Data environment, most hotels that are actively managing their
pricing use a competitive rate shop mechanism as a vital tool to assist them in
pricing. But simply following the lead of competitors can lead to a significant loss
in revenue. This presentation will discuss the importance of rate information,
how this information can be used in revenue management, and common traps
associated with use of this data – including data quality, limitations, and misuses
of the information.
2 - Making Television Ad Inventory More Valuable
through Optimization
Bob Bress, Sr. Director, Prod. Mgmt & Analytics, Visible World,
460 W. 34th Street, NY, NY, 10001, United States of America,
Approaching TV advertising programmatically with advanced data and dynamic
decisioning provides the ability to add tremendous value to TV inventory. In this
session we will cover: ïHow optimization methods are being deployed to enhance
the value of TV inventory through dynamic decisioning ïHow analytics are
allowing advertisers to benefit from advanced data through more targeted
advertising ïHow both inventory holders and advertisers are benefiting through
new data-driven applications for TV.
WB29