Developing the Structure of Decision-Making Support System for Management of the Production Logistics of an Industrial Enterprise

Abstract

The article proposes the structure of decision-making support system (DMSS) for management of the production logistics of industrial enterprise, which will increase efficiency of production system (by reducing time for decision-making which are based on the information about actual stocks, planned downtime and losses), and will determine the cost of failed managerial decisions in order to eliminate the possibility of recurrence in the future. The main aspects of functioning of the proposed DMSS are illustrated on the example of the process of converter production of steel at a metallurgical plant, describing each of the units presented in the structure of the system. The author proposes a decision-making mechanism, based on close interaction between the modeling module, knowledge base, and databases, using which one can generate recommendations concerning the movement of one or another unit, which participates in the process of converter production of steel. On the basis of her own experience of developing the alike systems, the author proposes a group data processing, suggesting use of a personal interface for each category of users, which will attract the main participants in the production process to decision-making, collective formulation of new ideas. It is specified that improvement of efficiency of functioning of economic objects is possible, first of all, by means of a competent application and further perfection of information systems.

Keywords

• decision-making support system
• modeling
• knowledge base
• production logistics
• industrial enterprise