Improvement of operational management of innovative production processes based on the implementation of MES
-
Author(s)Viсtor M. BalashovLink to ORCID Index: https://orcid.org/0000-0003-4642-5701
,
Aleksandr M. BatkovskiyLink to ORCID Index: https://orcid.org/0000-0002-5145-5748
,
Elena G. SemenovaLink to ORCID Index: https://orcid.org/0000-0001-8312-4903
,
Valeriy Ya. TrofimetsLink to ORCID Index: https://orcid.org/0000-0002-6873-6642
,
Alena V. FominaLink to ORCID Index: https://orcid.org/0000-0002-5853-0309
-
DOIhttp://dx.doi.org/10.21511/ppm.16(4).2018.01
-
Article InfoVolume 16 2018, Issue #4, pp. 1-12
- Cited by
- 1482 Views
-
211 Downloads
This work is licensed under a
Creative Commons Attribution-NonCommercial 4.0 International License
Theoretical and practical issues of improving the quality of operational management of production processes through the implementation of MES (Manufacturing Execution Systems) are considered. To assess the risk of introduction of systems of this class, a basic set of seven influencing factors is defined. The qualitative approach to risk assessment proposes using two ordinal scales, on the basis of which the matrix for estimating the probability of occurrence of risk factors and the degree of their negative impact is built. The quantitative approach to risk assessment proposes using the formula for calculating the integral risk factor. The choice of the matrix organizational structure of management is justified in the realization of projects for implementation of MES at the enterprises with the innovative nature of production. Typical functional subsystems of MES implemented on the SIMATIC IT platform are identified and analyzed. Original express methods for evaluating the economic efficiency of investment projects for the introduction of MES are proposed. Practical testing of methodology is carried out through the example of evaluating the economic efficiency of the project for implementation of a MES at the enterprise with an innovative nature of production. As the results, relevant for the theory of building MES, the generalized algorithms of their functioning are proposed: the algorithm of operational planning of production processes with the use of a MES and the algorithm of the interaction of model functional modules in MES. The advantages of MES of new generation, i.e. management systems of combined production, are analyzed.
- Keywords
-
JEL Classification (Paper profile tab)D80, L15, M11
-
References44
-
Tables5
-
Figures4
-
- Figure 1. The risk assessment matrix of implementation of a MES
- Figure 2. Information flows between the service of operating production management and other enterprise services
- Figure 3. The algorithm of the interaction model functional modules in MES
- Figure A1. Algorithm of operational planning of production processes using a MES
-
- Table 1. Functional subsystems of the embedded MES based on the SIMATIC IT platform
- Table 2. Start-up costs for the project on implementation of a MES
- Table 3. Data for calculation of TSt
- Table 4. Initial data for calculation of NPV of the project
- Table 5. Calculation of NPV of the project
-
- Abbas, S. A. (2018). Entrepreneurship and information technology businesses in economic crisis. Entrepreneurship and Sustainability Issues, 5(3), 682-692.
- Adegbite, O. E., Simintiras, A. C., Dwivedi, Y., & Ifie, K. (2018). Organisational Adaptations: A Pluralistic Perspective. Springer International Publishing.
- Alekhina, O. F., Voronov, N. A., & Udalov, F. Ye. (2013). Operational and Strategic Production Management in Industrial Enterprises. Nizhny Novgorod: N. I. Lobachevsky State University of Nizhny Novgorod.
- Anderson, E. J. (2013). Business Risk Management: Models and Analysis. Wiley.
- Andreev, Ye. B., Kutsevich, I. V., & Kutsevich, N. A. (2015). MES: The View from the Inside. RTSoft, Moscow.
- Averous, J., & Thierry, L. (2015). Advanced Scheduling Handbook for Project Managers: A Practical Navigation Guide on Large, Complex Projects. Fourth Revolution Publishing.
- Backström, T., Fundin, A., & Johansson, P. E. (2017). Innovative Quality Improvements in Operations: Introducing Emergent Quality Management. Springer.
- Batkovskiy, A. M., Semenova, E. G., Trofimets, V. Ya., Trofimets, E. N., & Fomina, A. V. (2017). Statistical Simulation of the Break- Even Point in the Margin Analysis of the Company. Journal of Applied Economic Sciences, 2(48), 558-571.
- Benešová, D., Kubičková, V., Michálková, A., & Krošláková, M. (2018). Innovation activities of gazelles in business services as a factor of sustainable growth in the Slovak Republic. Entrepreneurship and Sustainability Issues, 5(3), 452-466.
- Boje, D. (2015). Organizational Change and Global Standardization: Solutions to Standards and Norms Overwhelming Organizations. Routledge.
- Buchmann, J. A. (2015). Valuing the Innovation Potentials of Firms: What Theory Suggests, Practitioners Do, and both Implies for Existing Theory. Springer.
- Cai, X. (2014). Optimal Stochastic Scheduling. Springer.
- Carayannis, E. G., Samara, E. T., & Bakouros, Y. L. (2015). Innovation and Entrepreneurship: Theory, Policy and Practice. Springer.
- Chernov, V. F., & Chernov, I. V. (2016). Technology of Generation of IT Systems Based on Smart-MES. Lambert Academic Publishing.
- Chiarini, A. (Ed.). (2015). Sustainable Operations Management: Advances in Strategy and Methodology. Springer.
- Douglas, N., & Wykowski, T. (2017). Rethinking Management: Confronting the Roots and Consequences of Current Theory and Practice. Palgrave Macmillan.
- Eiselt, H. A., & Sandblom, C. L. (2013). Operations Research: A Model-Based Approach. Springer
- Fazlollahtabar, H., & Saidi- Mehrabad, M. (2015). Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning. Springer.
- Gillespie, L. (Ed.) (2017). Design for Advanced Manufacturing: Technologies and Processes. McGraw- Hill Education.
- GOST R ISO/IEC 31010-2011 (2011). National Standard of the Russian Federation. Risk management. The methods of risk assessment. Moscow: Autonomous Non-Commercial Organization “Monitoring and Assessment Research Centre of the control and diagnostics of technical systems”.
- Groover, P. M. (2015). Fundamentals of Modern Manufacturing, Binder Ready Version: Materials, Processes, and Systems. Wiley.
- Halevi, G. (2014). Industrial Management – Control and Profit: A Technical Approach. Springer.
- Hardy, K. (2014). Enterprise Risk Management: A Guide for Government Professionals. Wiley.
- Heizer, J., Render, B., & Munson, Ch. (2017). Operations Management: Sustainability and Supply Chain Management (12th ed.). Pearson.
- Huws, U. (2014). Labor in the Global Digital Economy: The Cybertariat Comes of Age. Monthly Review Press.
- Icon Group International, Inc. (2017). World Outlook for Manufacturing Execution Systems (MES).
- Ivanilova, S. V. (2018). Management of Innovative Projects. Moscow: Dashkov and Co.
- Jash, C., & Saha, D. (2016). Implementing SAP Manufacturing Execution. SAP Press.
- Kongoli, F. (Ed.) (2012). Automation. InTeOp.
- Koryagin, N. D., Sukhorukov, A. I., & Medvedev, V. A. (2015). The Implementation of Modern Methodological Approaches to Information Systems Management. Moscow: Moscow State Technical University of Civil Aviation.
- Kurochkin, A. S. (2000). Operational Management. Kiev: Interregional Academy of Personnel Management.
- Kuzmin, E. A. (2015). Fundamentals in Systematics of Uncertainty Management Theory. Mediterranean. Journal of Social Sciences, 6(5S2), 380-389.
- Lamb, F. (2013). Industrial Automation: Hands On. McGraw-Hill.
- MESA International (2009). MES – Theory and Practice, Issue 1. Retrieved July 10, 2018,
- Muller, S. (2015). Manufacturing Execution System (MES). Books on Demand.
- Nahmias, S., & Lennon, O. T. (2015). Production and Operations Analysis (Waveland Press).
- Orekhova, S. V., & Kuzmin, E. A. (2017). Resource Investment Model in Specifics of Developing Countries. Advances in Economics, Business and Management Research, 38, 488-494.
- Ouardighi, F. E., & Kogan, K. (2013). Models and Methods in Economics and Management Science. Springer.
- Panteleev, V. N., & Proshin, V. M. (2015). The Fundamentals of Production Automation. Moscow: Akademiya.
- Pavlov, Yu. A. (2017). The Foundations of Production Automation. Moscow: MISiS.
- Prause, G., & Atari, S. (2017). On sustainable production networks for Industry 4.0. Entrepreneurship and Sustainability Issues, 4(4), 421-431.
- Rao, R. V. (2010). Advanced Modeling and Optimization of Manufacturing Processes: International Research and Development. Springer.
- Wiendahl, H. P., Reichardt, J., & Nyhuis, P. (2015). Handbook Factory Planning and Design. Springer.
- Yegorova, E. G. (2016). Operational Management of the Process of Production of Iron Ore Sinter of Saint Petersburg. Saint Petersburg State Institute of Technology.
