Innovative System for Scheduling Production Using a Combination of Parametric Simulation Models

Branislav Micieta, Jolanta Staszewska, Matej Kovalsky, Martin Krajcovic, Vladimira Binasova, Ladislav Papanek and Ivan Antoniuk
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Branislav Micieta: Faculty of Mechanical Engineering, University of Žilina, 010 26 Zilina, Slovakia
Jolanta Staszewska: Institute of Management and Quality Sciences, Humanitas University in Sosnowiec, 41-200 Sosnowiec, Poland
Matej Kovalsky: Faculty of Mechanical Engineering, University of Žilina, 010 26 Zilina, Slovakia
Martin Krajcovic: Faculty of Mechanical Engineering, University of Žilina, 010 26 Zilina, Slovakia
Vladimira Binasova: Faculty of Mechanical Engineering, University of Žilina, 010 26 Zilina, Slovakia
Ladislav Papanek: Faculty of Mechanical Engineering, University of Žilina, 010 26 Zilina, Slovakia
Ivan Antoniuk: Faculty of Mechanical Engineering, University of Žilina, 010 26 Zilina, Slovakia

Sustainability, 2021, vol. 13, issue 17, 1-20

Abstract: The article deals with the design of an innovative system for scheduling piece and small series discrete production using a combination of parametric simulation models and selected optimization methods. An innovative system for solving production scheduling problems is created based on data from a real production system at the workshop level. The methodology of the innovative system using simulation and optimization methods deals with the sequential scheduling problem due to its versatility, which includes several production systems and due to the fact that in practice, several modifications to production scheduling problems are encountered. Proposals of individual modules of the innovative system with the proposed communication channels have been presented, which connect the individual elements of the created library of objects for solving problems of sequential production scheduling. With the help of created communication channels, it is possible to apply individual parameters of a real production system directly to the assembled simulation model. In this system, an initial set of optimization methods is deployed, which can be applied to solve the sequential problem of production scheduling. The benefit of the solution is an innovative system that defines the content of the necessary data for working with the innovative system and the design of output reports that the proposed system provides for production planning for the production shopfloor level. The DPSS system works with several optimization methods (CR—Critical Ratio, S/RO—Slack/Remaining Operations, FDD—Flow Due Date, MWKR—Most Work Remaining, WSL—Waiting Slack, OPFSLK/PK—Operational Flow Slack per Processing Time) and the simulation experiments prove that the most suitable solution for the FT10 problem is the critical ratio method in which the replaceability of the equipment was not considered. The total length of finding all solutions by the DPSS system was 1.68 min. The main benefit of the DPSS system is the combination of two effectively used techniques not only in practice, but also in research; the mentioned techniques are production scheduling and discrete computer simulation. By combining techniques, it is possible to generate a dynamically and interactively changing simulated production program. Subsequently, it is possible to decide in the emerging conditions of certainty, uncertainty, but also risk. To determine the conditions, models of production systems are used, which represent physical production systems with their complex internal processes. Another benefit of combining techniques is the ability to evaluate a production system with a number of emerging problem modifications.

Keywords: parameterization; simulation models; production scheduling; sustainable engineering; innovative system; communication channels; production planning; production system; optimization method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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