Development of an enterprise resource planning software and intelligent decision support system tools

Enterprise Resource Planning (ERP) systems have become indispensable information systems for organizations with multi-tier operational stages. Public institutions, hospitals and airports are not able to survive by using ERP software only. As each development process is experienced, increasing the abilities of each utilized system becomes an inevitable situation for enterprises to survive. In this study, an Enterprise Resource Planning (ERP) software modeling and reference software development were proposed and implemented. We believe that the details of this product developed for the needs of a large university hospital can be used as reference models by private and public institutions with similar needs. The details of the ERP model have been extended to include the details of the software development process after the design and the needs of a software product with an enterprise architecture. While this modeling is being put forward, the importance of the N-tiered architecture for the software world is mentioned, and how the components of the Service-Based Architecture and software products can be abstracted from each other. The answers to the security criteria of the systems, how to respond to their scaling needs, and how to provide uninterrupted service delivery are listed. The historical development of Software Development Life Cycle and the methodologies that should be used today are mentioned. Coding standards, test-oriented development and continuous integration are also included in the scope of the study. In the ERP model, human resources management, procurement, accounting and finance applications are determined as scope. Data structures and relational data structures were documented with the outline of the relevant scope. In order to be able to express Enterprise Resource Planning intelligently, we have developed a software product, an algorithm package and a control panel using this package, which can handle the data in the ERP model that we designed with the need of acquiring capabilities with Data Mining applications. The technical details of this product, the data mining algorithms used, the case studies using these algorithms are also included in the study and details of which data structures are needed for the relevant analyzes can be made. We believe that these details that can be used to meet similar needs will guide all private and public institutions and organizations. In addition, the algorithms called frequent item set mining, which is also called as the analysis of association rules, were examined and equivalent algorithm named BVPE (Bit Vectors and Path Elimination) was developed.