Προδραστικότητα σε συστήματα διαχείρισης εφοδιαστικής αλυσίδας

Βλαχάκης, Γεώργιος

Proactivity in supply chain management systems

Doctoral Thesis

Author

Βλαχάκης, Γεώργιος

Date

2020-03

Abstract

Proactive computing refers to the ability of computer systems to anticipate the needs of their operational environment before they occur and act accordingly to prevent undesired events. This preventive capability is based on the ability of proactive systems to understand their operating environment through recognition and event analysis and appropriate event management. Proactive computing is used in highly dynamic areas such as the supply chains The supply chain environment is characterized by dynamic changes. These changes happen due to a multitude of events caused by external or internal factors. Events affect the supply chain functionality and either create opportunities for exploitation or cause deviations from predetermined levels of operation. Event management that deviates from predefined operating levels is where Supply Chain Event Management is implemented. SCEM is a supply chain management approach by locating, analyzing and processing events to optimize its operation. The combination of proactive computing and SCEM is the research area of this study. The enhancement of SCEM's capabilities through the use of proactive computing aims to create a proactive framework where either the events themselves or their adverse effects will be prevented before affecting supply chain performance. This thesis examines supply chain proactivity and explores ways to achieve it. Examining and analyzing particularly the environment of the supply chain, its participants, as well as events that adversely affect supply chain performance alternative ways are proposed to avoid the negative effects of divergences. For the implementation of the study, a bibliographic research was conducted in the field of Proactive Computing, Event Driven Computing, SCEM, in the field of Fuzzy Logic, Situation Awareness and Bayes Network.

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

182

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/13771
http://dx.doi.org/10.26267/unipi_dione/1194

Collections

Τμήμα Πληροφορικής

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