Business analytics in the case of process optimalization in Industry 4.0 conditions DOI Open Access
Radosław Wolniak,

Wies Grebski

Scientific Papers of Silesian University of Technology Organization and Management Series, Journal Year: 2023, Volume and Issue: 2023(184)

Published: Jan. 1, 2023

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

Language: Английский

Methods and Techniques Supporting Energy and Media Savings in Maintenance of Public Transport Buses—State of the Art and Recommendations DOI Creative Commons
Andrzej Wieczorek, Kinga Stecuła,

Wieslaw Grebski

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(9), P. 2051 - 2051

Published: April 25, 2024

In the article, authors discussed topic of energy and media savings in a public transport company. The article is review nature, referring to 100 sources, including scientific papers, books, conference proceedings, websites. first part, detailed literature on environmental protection problems road methods solving them was conducted. Subsequently, reviewed content maintenance as pro-environmental activity companies. great accent paid problem saving buses. Based knowledge, proposed possibilities conducting rational method managing operation buses from point view protection, based strategy predictive bus maintenance.

Language: Английский

Citations

3

The application of business analytics in cost reduction DOI Open Access
Radosław Wolniak,

Wies Grebski

Scientific Papers of Silesian University of Technology Organization and Management Series, Journal Year: 2023, Volume and Issue: 2023(184)

Published: Jan. 1, 2023

The purpose of this publication is to present the applications usage business analytics in cost reduction.Design/methodology/approach: Critical literature analysis.Analysis international from main databases and polish legal acts connecting with researched topic. Findings:The application reduction paramount today's fiercely competitive landscape.This article highlights pivotal role optimizing financial performance by identifying inefficiencies areas for reduction.By harnessing power data, enables data-driven decisionmaking, differentiates between drivers, streamlines processes, optimizes inventory pricing strategies.Various methodologies techniques, along a diverse range software solutions, support organizations their endeavors.Leveraging not only provides edge but also enhances customer satisfaction, mitigates risks, supplier relationships.This multifaceted approach empowers achieve goals secure long-term success.

Language: Английский

Citations

2

The application of business analytics in cost reduction DOI Open Access
Radosław Wolniak,

Wies Grebski

Scientific Papers of Silesian University of Technology Organization and Management Series, Journal Year: 2023, Volume and Issue: 2023(184)

Published: Jan. 1, 2023

The purpose of this publication is to present the applications usage business analytics in cost reduction.Design/methodology/approach: Critical literature analysis.Analysis international from main databases and polish legal acts connecting with researched topic. Findings:The application reduction paramount today's fiercely competitive landscape.This article highlights pivotal role optimizing financial performance by identifying inefficiencies areas for reduction.By harnessing power data, enables data-driven decisionmaking, differentiates between drivers, streamlines processes, optimizes inventory pricing strategies.Various methodologies techniques, along a diverse range software solutions, support organizations their endeavors.Leveraging not only provides edge but also enhances customer satisfaction, mitigates risks, supplier relationships.This multifaceted approach empowers achieve goals secure long-term success.

Language: Английский

Citations

0

The usage of Six Sigma in Industry 4.0 conditions DOI Open Access
Radosław Wolniak,

Wies Grebski

Scientific Papers of Silesian University of Technology Organization and Management Series, Journal Year: 2023, Volume and Issue: 2023(184)

Published: Jan. 1, 2023

The purpose of this publication is to present the usage Six Sigma approach in Industry 4.0 conditions.Design/methodology/approach: Critical literature analysis.Analysis international from main databases and polish legal acts connecting with researched topic.Findings: integration principles dynamic landscape offers a promising synergy that brings numerous benefits challenges.Industry 4.0, characterized by advanced technologies like IoT, big data analytics, AI, robotics, reshaping manufacturing industry.This digital revolution demands adaptability process optimization for efficiency, quality, customer satisfaction.Six Sigma, grounded data-driven improvement, aligns well 4.0's goals.Combining these approaches can yield remarkable results, enhancing competitiveness driving continuous quality efficiency improvement.Six Sigma's DMAIC methodology, defining, measuring, analyzing, improving, controlling, structured problem-solving.A hierarchy roles ensures effective project management expertise utilization.Real-world applications across various sectors support aiming enhance product or service satisfaction.The advantages using conditions are substantial, including improved control, enhanced decision-making, real-time monitoring, predictive maintenance optimization, streamlined supply chain management, ultimately leading higher satisfaction, cost reduction, employee skill development, competitive advantage, risk management.However, presents challenges overload, complex technology integration, gaps, security, complexity, change implementation costs, over-reliance on technology.These issues be addressed through well-defined strategies, comprehensive training, robust cybersecurity measures, simplification processes, compelling business cases, maintaining balanced approach.In rapidly evolving industrial landscape, integrating path organizations while addressing transformation.

Language: Английский

Citations

0

Business analytics in the case of process optimalization in Industry 4.0 conditions DOI Open Access
Radosław Wolniak,

Wies Grebski

Scientific Papers of Silesian University of Technology Organization and Management Series, Journal Year: 2023, Volume and Issue: 2023(184)

Published: Jan. 1, 2023

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

Language: Английский

Citations

0