@phdthesis{Lauton2021,
  author    = {Lauton, Felix},
  title     = {Three Essays on the Procurement of Essential Medicines in Developing Countries},
  doi       = {10.25972/OPUS-22063},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-220631},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {The first problem is that of the optimal volume allocation in procurement. The choice of this problem was motivated by a study whose objective was to support decision-making at two procurement organizations for the procurement of Depot Medroxyprogesterone Acetate (DMPA), an injectable contraceptive. At the time of this study, only one supplier that had undergone the costly and lengthy process of WHO pre-qualification was available to these organizations. However, a new entrant supplier was expected to receive WHO qualification within the next year, thus becoming a viable second source for DMPA procurement. When deciding how to allocate the procurement volume between the two suppliers, the buyers had to consider the impact on price as well as risk. Higher allocations to one supplier yield lower prices but expose a buyer to higher supply risks, while an even allocation will result in lower supply risk but also reduce competitive pressure, resulting in higher prices. Our research investigates this single- versus dual-sourcing problem and quantifies in one model the impact of the procurement volume on competition and risk. To support decision-makers, we develop a mathematical framework that accounts for the characteristics of donor-funded global health markets and models the effects of an entrant on purchasing costs and supply risks. Our in-depth analysis provides insights into how the optimal allocation decision is affected by various parameters and explores the trade-off between competition and supply risk. For example, we find that, even if the entrant supplier introduces longer leads times and a higher default risk, the buyer still benefits from dual sourcing. However, these risk-diversification benefits depend heavily on the entrant's in-country registration: If the buyer can ship the entrant's product to only a selected number of countries, the buyer does not benefit from dual sourcing as much as it would if entrant's product could be shipped to all supplied countries. We show that the buyer should be interested in qualifying the entrant's product in countries with high demand first. In the second problem we explore a new tendering mechanism called the postponement tender, which can be useful when buyers in the global health industry want to contract new generics suppliers with uncertain product quality. The mechanism allows a buyer to postpone part of the procurement volume's allocation so the buyer can learn about the unknown quality before allocating the remaining volume to the best supplier in terms of both price and quality. We develop a mathematical model to capture the decision-maker's trade-offs in setting the right split between the initial volume and the postponed volume. Our analysis shows that a buyer can benefit from this mechanism more than it can from a single-sourcing format, as it can decrease the risk of receiving poor quality (in terms of product quality and logistics performance) and even increase competitive pressure between the suppliers, thereby lowering the purchasing costs. By considering market parameters like the buyer's size, the suppliers' value (difference between quality and cost), quality uncertainty, and minimum order volumes, we derive optimal sourcing strategies for various market structures and explore how competition is affected by the buyer's learning about the suppliers' quality through the initial volume. The third problem considers the repeated procurement problem of pharmacies in Kenya that have multi-product inventories. Coordinating orders allows pharmacies to achieve lower procurement prices by using the quantity discounts manufacturers offer and sharing fixed ordering costs, such as logistics costs. However, coordinating and optimizing orders for multiple products is complex and costly. To solve the coordinated procurement problem, also known as the Joint Replenishment Problem (JRP) with quantity discounts, a novel, data-driven inventory policy using sample-average approximation is proposed. The inventory policy is developed based on renewal theory and is evaluated using real-world sales data from Kenyan pharmacies. Multiple benchmarks are used to evaluate the performance of the approach. First, it is compared to the theoretically optimal policy --- that is, a dynamic-programming policy --- in the single-product setting without quantity discounts to show that the proposed policy results in comparable inventory costs. Second, the policy is evaluated for the original multi-product setting with quantity discounts and compared to ex-post optimal costs. The evaluation shows that the policy's performance in the multi-product setting is similar to its performance in the single-product setting (with respect to ex-post optimal costs), suggesting that the proposed policy offers a promising, data-driven solution to these types of multi-product inventory problems.},
  subject      = {Entwicklungsl{\"a}nder},
  language  = {en}
}
@phdthesis{SalinasSegura2016,
  author    = {Salinas Segura, Alexander},
  title     = {The Internet of Things: Business Applications, Technology Acceptance, and Future Prospects},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131605},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2016},
  abstract  = {This dissertation explores the Internet of Things from three different perspectives for which three individual studies were conducted. The first study presents a business application within supply chain management. The second study addresses user acceptance of pervasive information systems, while the third study covers future prospects of the Internet of Things. The first study is about wireless sensor technologies and their possibilities for optimizing product quality in the cold chain. The processing of sensor data such as temperature information allows for the construction of novel issuing policies in distribution centers. The objective of the study was to investigate the possible economic potential of sensor-based issuing policies in a cold chain. By means of simulation, we analyzed a three-echelon supply chain model, including a manufacturer, a distribution center, and a retail store. Our analysis shows that sensor-based issuing policies bear the potential to become an effective complement to conventional issuing policies. However, the results also indicate that important trade-offs must be taken into account in the selection of a specific issuing policy. The second study deals with the increasing emergence of pervasive information systems and user acceptance. Based on the integration of the extended "Unified Theory of Acceptance and Use of Technology" (UTAUT2) and three pervasiveness constructs, we derived a comprehensive research model to account for pervasive information systems. Data collected from 346 participants in an online survey was analyzed to test the developed research model using structural equation modeling and taking into account multi-group and mediation analysis. The results confirm the applicability of the integrated UTAUT2 model to measure pervasiveness. The third study addresses future prospects of the Internet of Things within the retail industry. We employed a research framework to explore the macro- as well as microeconomic perspective. First, we developed future projections for the retail industry containing IoT aspects. Second, a two-round Delphi study with an expert panel of 15 participants was conducted to evaluate the projections. Third, we used scenario development to create scenarios of the most relevant projections evaluated by the participants.},
  subject      = {Internet der Dinge},
  language  = {en}
}
@techreport{HochreinBogaschewskyHeider2014,
  type      = {Working Paper},
  author    = {Hochrein, Simon and Bogaschewsky, Ronald and Heider, Matthias},
  title     = {Supply Chain Management Reviews},
  issn      = {2199-0328},
  doi       = {10.25972/OPUS-9557},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-95577},
  pages     = {85},
  year      = {2014},
  abstract  = {Diese Arbeit untersucht Literatur Reviews (LRs) im Forschungsfeld des Supply Chain Managements (SCM). Hierf{\"u}r werden zun{\"a}chst die methodischen und terminologischen Grundlagen der Analyse erarbeitet sowie taxonomische und thematische Klassifikati-onsschemata vergleichend gegen{\"u}bergestellt. Anschließend werden der LR-Prozess dieser Untersuchung und ausgew{\"a}hlte Evaluationsdimensionen definiert. Auf diesen grundlegenden Vorarbeiten aufbauend werden LRs des SCM identifiziert, klassifiziert und umfassend bewertet. Die Forschungsergebnisse zeigen, dass es narrativen LRs teil-weise an methodischer Genauigkeit mangelt und infolgedessen die Technik des syste-matischen LR zunehmend an Bedeutung gewinnt. Dar{\"u}ber hinaus dient diese Arbeit als Bewertungsraster zur Evaluation der methodischen G{\"u}te von LRs, als Leitlinie zur Er-stellung von systematischen LRs und als State-of-the-Art der Sekund{\"a}rforschung im SCM.},
  subject      = {Supply chain management},
  language  = {de}
}