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Analysis System for Logistics and Production Processes: A Methodological Approach to Signal Analysis for Forecasting

Author

Listed:
  • Krzysztof Krol
  • Pawel Kaleta
  • Dariusz Kasperek
  • Sylwia Skrzypek-Ahmed
  • Emanuel Jozefacki
  • Agnieszka Chmielowska-Marmucka

Abstract

Purpose: The article aims to present elements for analysis systems in industrial and logistics processes. Design/Methodology/Approach: The article presents the preparation of a module for the analysis of production processes and support for logistics processes. The use of time series, randomness test, and correlation test is presented—a comparison of measurement results from various sensors used in industry and transport. Findings: The study's result was the analysis of waveforms from sensors for controlling the operating parameters of production and logistics systems. Preparing such a forecast solution allows you to check many possible measurement process results and support decisions in the system's operation, allowing for better decision-making in conditions of uncertainty. Practical Implications: The presented method of signal analysis for forecasting the system's behavior and operation can support decision-makers in taking appropriate actions, and in the future, it will allow the system to manage itself automatically. Originality/Value: A new feature uses time series, randomness, and correlation tests to review and monitor the performance of various types of sensors in logistics and production systems.

Suggested Citation

  • Krzysztof Krol & Pawel Kaleta & Dariusz Kasperek & Sylwia Skrzypek-Ahmed & Emanuel Jozefacki & Agnieszka Chmielowska-Marmucka, 2024. "Analysis System for Logistics and Production Processes: A Methodological Approach to Signal Analysis for Forecasting," European Research Studies Journal, European Research Studies Journal, vol. 0(Special A), pages 59-71.
    • Handle: RePEc:ers:journl:v:xxvii:y:2024:i:speciala:p:59-71
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    References listed on IDEAS

    as
    1. Krzysztof Krol & Andrzej Marciniak & Janusz Gudowski & Agnieszka Bojanowska, 2021. "Intelligent Sensor Platform with Open Architecture for Monitoring and Control of Industry 4.0 Systems," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 597-606.
    2. repec:ers:journl:v:xxiv:y:2021:i:special2:p:597-606 is not listed on IDEAS
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      More about this item

      Keywords

      Time series; randomization test; correlation test; detection of non-stationarity.;
      All these keywords.

      JEL classification:

      • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
      • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
      • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
      • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
      • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
      • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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