@phdthesis{Altmann2014,
  author    = {Altmann, Michael},
  title     = {Environmentally conscious supply chain design},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-107760},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {Sustainability has become a critical topic in all areas of supply chain management. As discussed earlier, drivers for this development can be identified as both internal and external phenomena. Since customers are one of the key stakeholders in supply chain management, special attention is paid to the impact of costumers´ behavior on sustainable supply chain design decisions. In this context, two main research questions were analyzed: 1.What is the appropriate way to design a supply chain according to environmentally-oriented requirements of customers? 2.What is the impact of customer´s behavior regarding both usage and return of products on supply chain design decisions in an environmentally conscious closed-loop supply chain environment? Therefore, three different optimization models with various main aspects are developed. To illustrate how the presented models can be applied in practical problem cases, guidelines for implementing an environmentally supply chain design project are presented.},
  subject      = {Supply Chain Management},
  language  = {en}
}
@phdthesis{Siller2023,
  author    = {Siller, Benjamin},
  title     = {Influence of Lead Time and Emission Policies on the Design of Supply Chains - Insights from Supply Chain Design Models},
  doi       = {10.25972/OPUS-29671},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-296713},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Companies are expected to act as international players and to use their capabilities to provide customized products and services quickly and efficiently. Today, consumers expect their requirements to be met within a short time and at a favorable price. Order-to-delivery lead time has steadily gained in importance for consumers. Furthermore, governments can use various emissions policies to force companies and customers to reduce their greenhouse gas emissions. This thesis investigates the influence of order-to-delivery lead time and different emission policies on the design of a supply chain. Within this work different supply chain design models are developed to examine these different influences. The first model incorporates lead times and total costs, and various emission policies are implemented to illustrate the trade-off between the different measures. The second model reflects the influence of order-to-delivery lead time sensitive consumers, and different emission policies are implemented to study their impacts. The analysis shows that the share of order-to-delivery lead time sensitive consumers has a significant impact on the design of a supply chain. Demand uncertainty and uncertainty in the design of different emission policies are investigated by developing an appropriate robust mathematical optimization model. Results show that especially uncertainties on the design of an emission policy can significantly impact the total cost of a supply chain. The effects of differently designed emission policies in various countries are investigated in the fourth model. The analyses highlight that both lead times and emission policies can strongly influence companies' offshoring and nearshoring strategies.},
  subject      = {Supply Chain Management},
  language  = {en}
}