@article{AlKassabThiesseBuckel2013,
  author    = {Al-Kassab, Jasser and Thiesse, Frederic and Buckel, Thomas},
  title     = {RFID Data Analytics in Retail Logistics: A Case Example},
  series = {Journal of Theoretical and Applied E-Commerce Research},
  volume    = {8},
  journal   = {Journal of Theoretical and Applied E-Commerce Research},
  number    = {2},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-129500},
  pages     = {112-137},
  year      = {2013},
  abstract  = {The growing interest in Radio Frequency Identification (RFID) technology in recent years has sparked an intensive debate on the benefits to be expected. With the growth of RFID implementations in size and scope comes a shift away from infrastructural aspects to the question of how to draw value from the large amounts of collected data. However, the necessary procedures for the handling of massive RFID data sets are still an under-researched issue. Against this background, the study presents results from a real-world trial conducted by a large apparel retailer. The objective of the trial was to explore the opportunities for generating novel performance indicators and reports on the reality of store processes and customer behavior on the sales floor. We give an overview of the algorithms used for RFID data processing and the interpretation of the resulting insights from a practitioner's point of view. The case example thus provides an overview of the potential of RFID as a powerful tool for assortment optimization, customer research, store layout design, and other management tasks in retail.},
  language  = {en}
}
@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}
}