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Decision Support Center for Complex System Control

Student: Fedko Ekaterina

Supervisor: Zinaida Avdeeva

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2017

Because of an increasing flow of data being derived from outer economic environment and inner business processes, it has become vital to create an automatized tool for prescribing scenarios for the most of standardized cases occurring within the manufacturing mainframe. The aim of this work is to study the needs of the businesses in terms of planning and strategic management, so as to study the possibility of implementing an automatized tool for maintaining the decision support process in obedience with the existing market demand and executed strategy. The technology of the designed tool is based on Supervisory Control Theory. Due to the innovativeness of this method specialists are facing some difficulties related to the necessity of rigid tuning of supervisor elements, monitoring of executed functions and distinction between human and supervisor duties. To estimate the relevance of this method analysis of business environment will be conducted. Along with this the work will contain organizational analysis of a company to distinguish processes which will be directly involved in the work of supervisor. This research will also study methodologies used for strategy establishment in order to set a general direction of supervisory tool’s designing and functioning. Precise attention will be focused on the process of demand planning, which is a crucial element for the whole production mainframe. It is planned to design an element of Decision Support System with help of Supervisory Control Theory to research the possibility of automatization of forecasting process and creation of a set of instructions for a series of events.

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