@phdthesis{Duesterhoeft2020, author = {D{\"u}sterh{\"o}ft, Tobias}, title = {Optimization models for shelf space allocation in retail stores [cumulative dissertation]}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:824-opus4-6323}, school = {Katholische Universit{\"a}t Eichst{\"a}tt-Ingolstadt}, year = {2020}, abstract = {The cumulative dissertation "Optimization models for shelf space allocation in retail stores" consists of the four individual scientific contributions listed below: 1. D{\"u}sterh{\"o}ft, Tobias, H{\"u}bner, Alexander and Schaal, Kai (2020): A practical approach to the shelf-space allocation and replenishment problem with heterogeneously sized shelves. 2. H{\"u}bner, Alexander, D{\"u}sterh{\"o}ft, Tobias and Ostermeier, Manuel (2020): An optimization approach for product allocation with integrated shelf space dimensioning in retail stores. 3. Ostermeier, Manuel, D{\"u}sterh{\"o}ft, Tobias and H{\"u}bner, Alexander (2020): A model for the store wide shelf space allocation. 4 D{\"u}sterh{\"o}ft, Tobias (2020): Retail shelf space planning - Differences, problems and opportunities of applied optimization models. The planning and best possible utilization of the available shelf space is of central importance for retailers. Shelf space is a scarce resource in stores today. Shelf planners need to determine optimal shelf spaces for each item within product allocation. Researchers have already developed several decision support models. Usually, these models have in common that they can make a decision on the number of facings per product. A facing is a visible sales unit of a product on the shelf. Behind a facing, depending on the depth of the shelf further sales units are located. With an increase in the number of facings the visibility of the product for customers is also increasing, which is associated with a certain demand effect, the so-called space elasticity. The content of this dissertation are optimization models that extend existing approaches to product allocation significantly and thus also enable a practical application of these approaches. Within the framework of a practical project substantial new contents for the product allocation can be determined. The resulting optimization models build on each other. Initially, in the 1st article the product allocation is extended by an exact consideration of the shelf space dimensions. The resulting question of the optimal shelf layout is the central part of the 2nd article. If the layouts of shelves are determined on the shelf, the total shelf space per category must be known beforehand. This question is dealt with in the 3rd article. Finally, new research fields are identified in the 4th article based on current real processes and requirements.}, subject = {Supply Chain Management}, language = {en} } @phdthesis{Ostermeier2018, author = {Ostermeier, Manuel}, title = {Challenges and solution approaches for the distribution with multi-compartment vehicles [cumulative dissertation]}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:824-opus4-4570}, school = {Katholische Universit{\"a}t Eichst{\"a}tt-Ingolstadt}, year = {2018}, abstract = {The essays of the cumulative dissertation are concerned with the distribution in retailing with multi-compartment vehicles. An effective distribution planning is a central aspect for the success of retailers. Due to a highly competitive market, retailers are forced to constantly optimize processes along the supply chain to satisfy the given requirements. On the one hand, customers expect the constant availability of various products while asking for high quality. On the other, an ever increasing pressure on prices exists. The involved logistic processes therefore need to be highly efficient to fulfil the given requirements. An important part plays thereby the distribution of goods to stores, where consumers are supplied. Here, multi-compartment vehicles offer a variety of new possibilities for distribution. The core attribute of multi-compartment vehicles is the simultaneous delivery of different temperature zones with the same vehicle. Besides the new options that therefore open up for distribution, further processes and costs incurred by the use of multi-compartment vehicles need to be taken into account. The first essay presents the basic attributes of multi-compartment vehicles as well as the differences to processes with single-compartment vehicles. The distribution with both single- and multi-compartment vehicles is illustrated and the differences are discussed. Further, the essay discusses current literature for the distribution with multi-compartment vehicles in retailing. Based on these findings, a formal model for the distribution with multi-compartment vehicles is presented in the second essay. The model considers cost and process differences, especially for loading and unloading actions. The use of multi-compartment vehicles is analysed and saving potentials revealed, using the model and a tailor-made solution approach. The remaining essays (essays 3, 4 and 5) further extend the introduced model to consider additional aspects relevant in practice. More precisely, the third essay considers the optimal fleet mix if both single- and multi-compartment vehicles are available for distribution. The fourth essay identifies loading restrictions if multi-compartment vehicles are used and presents an innovative solution approach to address the arising problem and which enables a distribution planning without loading and unloading problems. Finally, the concluding essay (essay 5) extends the discussed planning problem for multiple periods. In particular, it examines the impact of consistent deliveries for all considered product segments across the complete planning horizon.}, subject = {Einzelhandel}, language = {en} } @phdthesis{Schaal2017, author = {Schaal, Kai Niclas}, title = {Five contributions on retail shelf-space planning [cumulative dissertation]}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:824-opus4-3530}, school = {Katholische Universit{\"a}t Eichst{\"a}tt-Ingolstadt}, year = {2017}, abstract = {Die Beitr{\"a}ge der kumulativen Dissertation besch{\"a}ftigen sich mit Regalplatzplanungsproblemen im Einzelhandel. Zunehmende Sortimentsvielfalt und sinkende Regalfl{\"a}chenproduktivit{\"a}t zwingen Einzelh{\"a}ndler zunehmend, den ihnen zur Verf{\"u}gung stehenden, limitierten Regalplatz effizient zu nutzen und einzelnen Produkten die richtige Menge an Regalplatz zuzuweisen. Optimierungsmodelle unterst{\"u}tzen Einzelh{\"a}ndler bei dieser Entscheidung. Der erste Beitrag geht der Frage nach, wie Nachfrageschwankungen (Stochastik) in Modelle zur Regalplatzplanung integriert werden k{\"o}nnen. Das entwickelte Optimierungsmodell betrachtet als relevante Nachfrageeffekte neben der Stochastik weiterhin Regalplatzelastizit{\"a}ten, Kreuzregalplatzelastizit{\"a}ten sowie die vertikale Regalposition von Produkten. Eine spezialisierte Heuristik liefert nahezu optimale Ergebnisse in k{\"u}rzester Rechenzeit. Der zweite Beitrag greift das im ersten entwickelte Optimierungsmodell auf und untersucht mit Hilfe umfangreicher numerischer Analysen den Einfluss von Kreuzplatzelastizit{\"a}ten auf optimale Regalmengen. Der Beitrag zeigt, dass Kreuzplatzelastizit{\"a}ten einen zu vernachl{\"a}ssigenden Einfluss auf Regalentscheidungen haben und daher aufwendige Messungen dieser Elastizit{\"a}ten sowie die Entwicklung entsprechender Optimierungsmodelle in Zukunft aus Forschungssicht nicht relevant sind. Der dritte und f{\"u}nfte Beitrag erweitern das im ersten entwickelte Optimierungsmodell um benachbarte Entscheidungsprobleme. Der dritte Beitrag integriert die Sortimentsentscheidung und unterst{\"u}tzt Einzelh{\"a}ndler somit bei der Auswahl der anzubietenden Produkte. Dabei wird neben Regalplatzelastizit{\"a}ten das Substitutionsverhalten von Kunden in F{\"a}llen von Nichtverf{\"u}gbarkeit von Ware modelliert und gezeigt, dass sich beide Nachfrageeffekte gegenseitig verst{\"a}rken und daher integriert betrachtet werden m{\"u}ssen. Der f{\"u}nfte Beitrag beantwortet, wie Einzelh{\"a}ndler zudem die effiziente Wiederbef{\"u}llung ihrer Regale gew{\"a}hrleisten k{\"o}nnen und untersucht, inwiefern die Verf{\"u}gbarkeit eines an die Filiale angeschalteten Filiallagers optimale Regalmengen beeinflusst. Der vierte Beitrag zeigt, wie der f{\"u}r die L{\"o}sung des Optimierungsmodells des dritten Beitrags verwendete Algorithmus technisch so weiterentwickelt werden kann, dass h{\"o}here Gewinne in k{\"u}rzerer Rechenzeit erzielt werden.}, subject = {Einzelhandel}, language = {en} }