Masterseminar im Wintersemester 2016/2017 Themen

Institut für Verkehrswirtschaft
Lehrstuhl für Betriebswirtschaftslehre, insb. Verkehr
Seminar OSCM (WS 2016/2017)
Schwerpunkt: Operations & Supply Chain Management
Masterseminar im Wintersemester 2016/2017
Allgemeine Informationen:
Der Umfang der schriftlichen Ausarbeitung darf 6000 Wörter nicht überschreiten. Wir empfehlen die
Arbeit mit dem Textsatzsystem LATEX.
Dazu erhalten Sie vom Lehrstuhl:
ˆ Richtlinie zum wissenschaftlichen Arbeiten
ˆ LATEX-Vorlage Seminararbeit
ˆ LATEX-Vorlage Präsentation
Die Vorlagen werden zeitnah über STiNE bereitgestellt. Sie können eigene Themenvorschläge machen.
Themen
1. Travel time value (Paper vorstellen)
This paper identifies, relates and compares two popular modelling approaches to estimate
the value of travel time changes. The first (random utility) assumes that the random
component of the model relates to the difference between the utilities of travel options; the
second (random valuation) assumes that it relates to the difference between the value of
travel time and a suggested valuation threshold. This paper gives details of the theoretical
relationship between the two approaches and compares them empirically at several levels
of model sophistication. Datasets from two national studies (the UK and Denmark) are
employed. The results show a consistent superiority of the RV approach and a systematic
gap in the value of travel time between approaches. A similar pattern across models is
found in both countries. This raises questions about the validity of results using the RU
approach.
Literatur : Ojeda-Cabral et al. (2016)
2. Assortment planning (Paper vorstellen)
We consider constrained assortment problems assuming that customers select according to
the multinomial logit model (MNL). The objective is to find an assortment that maximizes
the expected revenue per customer and satisfies a set of totally unimodular constraints. We
show that this fractional binary problem can be solved as an equivalent linear program. We
use this result to solve five classes of practical assortment optimization and pricing models
under MNL, including (1) assortment models with various bounds on the cardinality of
the assortment, (2) assortment models where we need to decide the display location of
the selected products, (3) pricing models with a finite menu of possible prices, (4) quality
consistent pricing models where the prices of the products have to follow a specified quality
ordering, (5) assortment models with precedence constraints. We show that all of these
classes of problems can be solved as linear programs. In some instances, constraints can be
combined as long as total unimodularity is preserved. In addition, we show how the results
extend to a larger class of attraction choice models that avoid some of the shortcomings of
MNL.
Literatur : Davis et al. (2013)
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Institut für Verkehrswirtschaft
Lehrstuhl für Betriebswirtschaftslehre, insb. Verkehr
Seminar OSCM (WS 2016/2017)
Schwerpunkt: Operations & Supply Chain Management
3. Tariff zone planning (Paper vorstellen)
Tariff design is among the most elementary decision problems to be solved in every public
transportation network. This paper focuses alternative zone–based tariffs, which vary in the
way zones are cut (ring structure vs. connected zones) and fares are calculated (counting
zones, cumulative pricing, and maximum pricing), and compares their ability to exploit the
customers’ willingness to pay. For this purpose, we formulate six versions of the tariff design
problem, investigate their computational complexity, and develop suited mixed integer
models. Our comprehensive computational study reveals that tariffs based on cumulative
pricing outperform traditional distance–based tariffs and are best suited to exploit the
customers’ willingness to pay.
Literatur : Otto and Boysen (2015)
4. Stop location (Paper vorstellen)
This article proposes a bi-criteria formulation to find the optimal location of light rapid
transit stations in a network where demand is elastic and budget is constrained. Our model
is composed of two competing objective functions seeking to maximize the total ridership
and minimize the total budget allocated. In this research, demand is formulated using the
random utility maximization method with variables including access time and travel time.
The transit station location problem of this study is formulated using mixed integer programming and we propose a heuristic solution algorithm to solve large-scale instances which
is inspired by the problem context. The elastic demand is integrated with the optimization
problem in an innovative way which facilitates the solution process. The performance of
our model is evaluated on two test problems and we carry out its implementation on a
real-world instance.
Literatur : Hossein Rashidi et al. (2016)
5. Predictive policing: The role of crime forecasting in law enforcement operations
Es existieren Computerprogramme, die verschiedene Delikte voraussagen sollen. Diese sind
tatsächlich, auch in Deutschland, im Einsatz. Aber sie sind umstritten. Die auf dem Markt
vorhandenen Lösungen bedienen sich des Data Mining. Dieses Thema stellt eine explorative
Arbeit dar. Es soll ermittelt werden, welche Produkte derzeit benutzt werden, auf welchen
Methoden sie aufbauen und wie ihre Leistung wissenschaftlich zu bewerten ist. Letztendlich
sollen die Grundlagen für die Anwendung eines gänzlich neuen Vorhersageverfahrens gelegt
werden.
Literatur : Perry (2013)
6. Handelsnetzplanung
Visualisieren und analysieren Sie die Händlernetze in Südafrika der CLAAS Global Sales
GmbH.
Literatur : 7. Absatzanalyse
Visualisieren Sie, zeitlich und räumlich differenziert, die Absatzsituation der Feldschlösschen Getränke AG.
Literatur :
8. Transportnetzplanung (Thema ist reserviert)
Evaluieren Sie das aktuelle Hub and Spoke Netzwerk der Feldschlösschen Getränke AG.
Literatur : Haase and Hoppe (2008)
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Institut für Verkehrswirtschaft
Lehrstuhl für Betriebswirtschaftslehre, insb. Verkehr
Seminar OSCM (WS 2016/2017)
Schwerpunkt: Operations & Supply Chain Management
Literatur
Davis, J., Gallego, G., Topaloglu, H., 2013. Assortment planning under the multinomial logit model
with totally unimodular constraint structures. Department of IEOR, Columbia University.
URL https://people.orie.cornell.edu/huseyin/publications/logit_const.pdf
Haase, K., Hoppe, M., 2008. Transportnetzgestaltung für Paketdienstleister. Zeitschrift für Betriebswirtschaft 78 (9), 857–874.
Hossein Rashidi, T., Rey, D., Jian, S., Waller, T., 2016. A clustering algorithm for bi-criteria stop
location design with elastic demand. Computer-Aided Civil and Infrastructure Engineering 31 (2),
117–131.
URL http://dx.doi.org/10.1111/mice.12162
Ojeda-Cabral, M., Batley, R., Hess, S., 2016. The value of travel time: random utility versus random
valuation. Transportmetrica A: Transport Science 12 (3), 230–248.
URL http://dx.doi.org/10.1080/23249935.2015.1125398
Otto, B., Boysen, N., 2015. Zone-based tariff design in public transportation networks, Working
Paper Friedrich–Schiller–University Jena.
URL http://pubdb.wiwi.uni-jena.de/publications/publication_view/6655
Perry, W. L., 2013. Predictive policing: The role of crime forecasting in law enforcement operations.
Rand Corporation.
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