Decision Support System Solution Research Articles

METHOD OF STRUCTURING BUSINESS MODEL AND MATHEMATICAL MODEL OF DSS OF IT COMPANIES

The problem of creating a decision support system (DSS) for products/services in IT companies using an effective conceptual approach has been solved. The developed mathematical model of DSS for IT-business is represented. It-business is considered as a business focused on implementation and support of innovative projects. The mathematical model is intended for the use by an IT company as a separate IT project and a group of IT projects. Elements of graph theory and tensor analysis were used to create the mathematical model. DSS, with the use of the mentioned model, can be interactive and offer an effective solution by minimizing or maximizing the factor or group of factors that influence that decision. The search for the best DSS solution was reduced to the task of optimizing the integrated criterion, minimizing or maximizing the factor or group of factors influencing the decision. Since the possibility of negative values of the objective function for certain parameters of the weight of the edge of the digraph was clarified, the application of the Bellman – Ford algorithm for this reason was justified. The method of linear convolution was used for efficient operation of the algorithm. This allowed us to use the algorithm to solve multicriteria problems, in the absence of information about the form of the integral function. An adaptive algorithm was used to speed up the work. It is that the results of query processing form a database of templates. This will allow you to quickly find a solution for a similar query, even if you change the initial conditions. A universal approach to structuring the work of an IT-company has been developed. This allows formalizing requests to the DSS and to receive formalized responses both at the specific stage of the project, a separate type of work on the project and the project portfolio and the IT-company as a whole. This, in turn, allows optimizing the use of computer resources when working with DSS, reducing both the time to perform requests in the interactive mode, and for the formation of variants of the solutions for the tasks set by the user via DSS. Structuring according to the main features of the project allowed group the work of the IT company according to available resources and desired results. This will allow you to plan and organize the work of each employee to work not only in one project, but to perform work in different projects. It is also possible to plan and organize the work of working groups. Each of the executors of these groups is formally subordinated to their structural units and, at the same time, to the coordinator of the respective project. The proposed approach allows you quickly reorienting DSS to perform radically different tasks, to fulfill a different purpose, to other areas of work of an IT company, other projects. It would only take time to update and replenish the DSS database

Design Methods for Decision Support Systems

This article reviews methods to the development of a decision support system (DSS) solution for small business owners/managers. The main objective of designing the DSS artefact is to support the strategic decision-making for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilised various methods to design of information systems (IS) artefact, mostly intended for large businesses. Researchers have paid much attention to the business environment as a knowledge source for DSS design and development for the small business strategic decision support needs. User-centred design (UCD) principles were adopted for DSS development. Prior a novel DSS development, multiple case studies were carried out for understanding the user needs and system requirements. Also, knowledge was sourced from the external business environment via the analysis of small business website features against their overseas competitors. The findings suggested developing a DSS solution for small business needs.

A General Decision Support Systems Approach to the Port Scheduling Problem for Pressure Beck Operations

With the current proliferation of computer-based decision support systems across all types of manufacturing applications, computer-based agents for management support of textile process decisions are receiving increasing attention. One of the most potentially rewarding of these textile applications is in the area of scheduling and machine loading for the dyeing of piece goods with multi-port dyeing machines. The range of industry practices in dealing with this problem is diverse, often requiring tedious manual calculations that result in non-optimal machine loads, quality problems and a high turnover of scheduling operators. In this paper the authors report on their development of a potentially comprehensive decision support system solution to the problem. Their solution involves a two-phase approach where linear programming is used to develop optimal machine loads and a computer-based heuristic is used to schedule the activities required to load specific dyeing machines.