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Integrating mathematical models and automatic identification information systems for efficient shelf replenishment PDF Print E-mail

Cleopatra Bardaki

Supervisors:
Prof. Georgios I Doukidis,
Prof. P. Miliotis,
Dr. Katerina Pramatari,
Dr. Ioannis Mourtos

Starting Date: May 2005


Short description

This Doctoral research is motivated by two distinct issues: the problem of Out-Of-Stock (OOS) in retail industry; and the emergence of Radio Frequency Identification (RFID) technology which provides the opportunity to reconsider the way product information is shared and controlled in the retail supply chain.

The objectives of this Doctoral research can be summarized as follows:

  • To design and employ a RFID-enabled shelf replenishment information system, measure its performance in a real-life business environment; and finally evaluate its effect on the problem of Out-Of-Stock and more specifically on out-of-shelf situations.
  • To formulate the shelf replenishment process via a analytical mathematical model in order to find those values of the decision variables (product shelf space allocated, shelf replenishment cycle) that ensure optimal behavior.

The generic Doctoral research question is: Is it possible to improve the existing shelf replenishment policies in retailing, and how this can be done? This Doctoral research portrays a focus on both the Information Systems Research and the Operations Research discipline. The Design Science paradigm is underlying the research approach.


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