Business Analytics in the Case of Process Optimalization in Industry 4.0 Conditions

• Autorzy: Radosław Wolniak , Wies Grebski
• Języki publikacji: EN

Abstrakty

EN

Purpose: The purpose of this publication is to present the applications of usage of business analytics in process optimization. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: In the era of Industry 4.0, the intersection of data-driven technologies and manufacturing processes underscores the indispensable role of business analytics in process optimization. This transformative landscape redefines business operations, highlighting data analytics as the cornerstone of operational excellence. Business analytics offers a multitude of advantages, including data-driven decision-making, efficiency enhancements, predictive capabilities, and cost reduction, ultimately ensuring a competitive edge. Nevertheless, it also presents a set of challenges, such as data quality, integration, and resistance to change. Overcoming these obstacles is essential to fully unlock the potential of business analytics in Industry 4.0. In doing so, organizations can navigate this dynamic landscape and secure their position in the ever-evolving industrial ecosystem. (original abstract)

Słowa kluczowe

PL

Przemysł 4.0; Digitalizacja; Sztuczna inteligencja; Optymalizacja; Analiza biznesowa

EN

Industry 4.0; Digitizing; Artificial intelligence; Optimalization; Business analysis

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Numer: z. 184 Współczesne zarządzanie = Contemporary Management
• Strony: 647-663

Twórcy

autor

Radosław Wolniak

• Silesian University of Technology

autor

Wies Grebski

• Penn State Hazletonne, Pennsylvania State University

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Identyfikatory

DOI

10.29119/1641-3466.2023.184.34