System of Parametric Modelling and Assessing the Production Staff Utilisation as a Basis for Aggregate Production Planning

• Published in: Applied sciences 2021-10, Vol.11 (19), p.9347
• Main Authors: Krajčovič, Martin, Furmannová, Beáta, Grznár, Patrik, Furmann, Radovan, Plinta, Dariusz, Svitek, Radovan, Antoniuk, Ivan
• Format: Article
• Language: English
• Subjects: advanced industrial engineering; Automotive parts; Case studies; Computer programs; Data structures; Design; digital engineering; Factories; Information systems; Inspection; Manufacturing industry; manufacturing systems; Methodology; Modelling; Operating costs; optimisation of production planning; Part time employment; Production costs; Production methods; Production planning; Productivity; Software; support of making decisions
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app11199347

The requirement to achieve effective solutions in the shortest possible time in the manufacturing environment is essential, and it can be solved only by effective production planning methods. The scientific problem is that traditional methods for creating and assessing the production plans are insufficient for the future and it is necessary to look for new alternatives. The planners in the framework of designing the production layouts and subsequent capacity planning of the employees are missing the information, methods and tools for making clear decisions. The production costs in general and especially the costs for the workforce create a large part of the operating costs in many manufacturing enterprises. The scientific goal of the article is to present a design of the system for parametric modelling and assessing the working utilisation of the production staff intended for reducing costs. The described solution is based on object-oriented analysis and contains a methodology of planning and controlling the production process in the industrial environment. The designed methodology was used for developing a planning module of project software and was shown through a case study in a company dealing with the production of automotive components. Effective modelling of the digital copy of the manufacturing system in the software environment is one of the most difficult and important steps for developing reliable information systems for planning and inspection in the industry. The methodology’s results in a company are that the solution can be used as a basis for the aggregate production planning that brings savings and efficiency increases. The research results can be used in any company with strictly defined working positions, working activities, and limiting conditions.