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Title: Modeling Organization’s Processes Using Thinging Machine: Two Case Studies
Authors: Mona Manea’ Mahdi Alotaib 
Supervisor: Dr. Sabah Al-Fedaghi
Degree Awarded: M. Sc Degree in: Computer Engineering
Keywords: Procurement; RFP; Public Key Infrastructure; Conceptual Modeling; Customer Relationship Management.
Issue Date: 2019
Publisher:  Kuwait university - college of graduate studies
Abstract: Understand the notion of processes has become of critical significance to advance the efficiency, effectiveness and timeliness of design, manufacturing, managerial or commercial activities. A Process refers to a sequence of events that changes the states of a system. This thesis explores a new foundation for conceptual modeling of organization’s Processes. Process Modeling is a diagrammatic description that describes flows and activities in a particular organizational unit and aims at capturing processes through its representation of handling information inside and outside a system. It provides the basis of the system documentation; guides the development of a computing project; provides guidance for experiments; and is an aid for experiment with verification and validation. It is common to find process descriptions that are very broad, derived from a vendor’s list, or copied from other organization specifications. An additional problem is been related to communication among stakeholders. The assumptions, assessments, statements and information may not be complete, accurate, adequate or correct. Sample process modeling languages include Business Process Modeling Notation (BPMN), UML and SysML, Event-driven Process Chains (EPC), and Specification and Description Language (SDL). All suffer from various types of weaknesses. In this thesis, we propose to view a process as an abstract Thinging Machine (TM). TM model offers a new integration instrument for capturing a static description of processes, “eventizing” (identifying events in) their behaviors and using the resulting grand diagram for control purposes
Appears in Programs:0612 Computer Engineering

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