Partial book profile
The Principles of Scientific Management
Frederick Taylor Winslow
Management can achieve maximum prosperity for both employers and employees by replacing traditional 'rule-of-thumb' work methods with a system of scientifically studied and optimized processes, cooperative effort, and shared responsibility.
The full book profile is not available yet.
What it’s about
In 'The Principles of Scientific Management,' Frederick Winslow Taylor diagnoses a universal industrial illness: massive inefficiency caused by 'soldiering,' where workers deliberately restrict their output. He argues this isn't due to laziness, but to flawed management systems that pit workers against employers. Taylor's remedy is a revolutionary philosophy where management takes on the new duty of scientifically analyzing every aspect of work to discover the 'one best way.' This involves detailed time and motion studies, standardizing tools, scientifically selecting and training workers for tasks they are best suited for, and fostering intimate cooperation between management and labor. Through compelling case studies—from handling pig-iron to shoveling and complex machining—Taylor demonstrates how this system consistently doubles output, drastically lowers costs, enables employers to pay 30-100% higher wages, and replaces class warfare with harmony and mutual prosperity. This book is not just a collection of techniques; it's a call for a complete mental revolution in how we approach work, with the potential to elevate the prosperity of entire nations.
The through-line
- Who it’s for
- An industrial manager, factory owner, or engineer who is responsible for production. They want to increase their company's output, lower costs, and achieve greater prosperity, but are frustrated by low productivity and conflict with their workforce.
- The problem
- The establishment suffers from rampant inefficiency, high labor costs, and unpredictable output. Workers engage in 'soldiering' (deliberately working slowly), and there is constant friction between management and labor over wages and what constitutes 'a fair day's work'. The manager feels powerless, frustrated, and constantly embattled. They are unsure how to motivate their workforce, cannot trust that a fair day's work is being done, and feel trapped in a cycle of antagonism and mediocrity.
- The plan
- Replace 'rule-of-thumb' work methods with a science of work developed through detailed study.
- Scientifically select workers based on their aptitude and then train them in the new scientific methods.
- Foster intimate cooperation between management (as teachers) and workers (as performers) to ensure methods are followed.
- Divide the work and responsibility equally, with management planning the work and workers executing it.
- Implement a system of specific daily tasks with large bonuses for successful completion to motivate maximum effort.
- The payoff
- Your business becomes vastly more productive and profitable. · Labor costs per unit decrease while worker wages simultaneously increase, leading to a prosperous and contented workforce. · The relationship between management and labor transforms from adversarial to harmonious and cooperative.
See our guide
Related profiles we’ve built
- Data Warehouse and Data Mining →
- The Data Warehouse Toolkit →
- Benchmarking Maintenance Mgmt →
- Methods of Operations Research (Dover Books on Computer Science) →
- Operations Research and Management Science Handbook (The Operations Research Series) →
- Practical Management Science →
- Sales forecasting management a demand management approach →
- SIMULATION MODELING AND ANALYSIS SECOND EDITION →
Featured in these guides
- Run Operations And Supply Chains On Evidence →Pole in “Resource Utilization Versus Flow”
Where other books disagree
Co-cited books
- Supply Chain Metrics that Matter
- Managing Factory Maintenance
- Mathematical Decision Making Transcript
- Operations Research for Social Good A Practitioners Introduction Using SAS® and Python
- Operations and Supply Chain Management, 2026 Release ISE · F. Robert Jacobs, Richard B. Chase
- Simulation Modelling and Analysis · Law, Averill M., Kelton, W. David
- Dynamic Programming (Dover Books on Computer Science)
- Supply Chain Analytics A Comprehensive Guide to supply chain analytics, harnessing Python to drive efficiency