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Paper Title

APPLICATION OF SCIENTIFIC MANAGEMENT PRINCIPLES IN WORKFLOW OPTIMIZATION-A CASE STUDY

Keywords

  • scientific management principles
  • work flow
  • optimization
  • productivity
  • operational efficiency
  • task standardization.

Article Type

Research Article

Issue

Volume : 16 | Issue : 3 | Page No : 1-11

Published On

May, 2025

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Abstract

The application of Scientific Management principles to workflow optimization is a methodical approach designed to enhance productivity and efficiency within an organization. This case study examines how these principles were implemented in a manufacturing company to streamline its operations and reduce waste. Scientific Management, introduced by Frederick Winslow Taylor, emphasizes systematic observation, measurement, and analysis to improve labor productivity. The study focuses on key principles such as task standardization, time and motion studies, and performance-based incentives. By systematically analyzing the workflow, identifying bottlenecks, and re-engineering processes, the company achieved significant improvements in operational efficiency.Key initiatives included the development of standardized work procedures, the implementation of time and motion studies to identify and eliminate unnecessary movements, and the introduction of a performance-based reward system to motivate employees. The adoption of these principles resulted in a 25% increase in productivity, a 15% reduction in operational costs, and a notable improvement in employee morale. Additionally, the case study highlights the importance of continuous monitoring and feedback to sustain these improvements over time.The findings demonstrate that Scientific Management principles can be effectively applied to modern workflow optimization, leading to substantial gains in efficiency and productivity. This approach not only benefits the organization but also fosters a culture of continuous improvement and operational excellence. The case study serves as a valuable reference for other organizations seeking to optimize their workflows through the application of scientific principles.

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