The Seven Tools:
1. Functional Foremanship
Explanation
Taylor suggested that the planning function should be separated from the execution function. He proposed **8 specialized bosses** to supervise a single worker—4 for planning and 4 for production. Read more about Functional Foremanship.
Cause-Effect Relationship:
Cause: Specialized supervision (8 bosses).
Effect: Expertise in every sub-task + higher precision in work.
Cause: Specialized supervision (8 bosses).
Effect: Expertise in every sub-task + higher precision in work.
Managerial Case Study (The Bicycle Factory):
In a bicycle assembly plant, the manager used to give all instructions himself. He was overwhelmed and the workers were confused about machine maintenance and quality checks.
The Application: The manager applied **Functional Foremanship**. He appointed a **Repair Boss** to handle machine maintenance and an **Inspector** to check the paint quality. In the office, a **Route Clerk** decided the sequence of work.
The Outcome: The worker no longer had to worry about broken machines or planning his day. He just followed the 8 specialized instructions. Productivity shot up because every "Boss" was an expert in their small domain.
In a bicycle assembly plant, the manager used to give all instructions himself. He was overwhelmed and the workers were confused about machine maintenance and quality checks.
The Application: The manager applied **Functional Foremanship**. He appointed a **Repair Boss** to handle machine maintenance and an **Inspector** to check the paint quality. In the office, a **Route Clerk** decided the sequence of work.
The Outcome: The worker no longer had to worry about broken machines or planning his day. He just followed the 8 specialized instructions. Productivity shot up because every "Boss" was an expert in their small domain.
Verbal Question:
Which principle of Henri Fayol is violated by Functional Foremanship?
(Show Answer)Answer: Unity of Command. Taylor suggested 8 bosses for one worker, while Fayol insisted on only 1 boss.
2. Standardization & Simplification
Explanation
**Standardization** means setting standards for quality, size, and tools. **Simplification** means eliminating unnecessary varieties, sizes, and types of products.
Cause-Effect Relationship:
Cause: Standardization + Simplification.
Effect: Reduced costs (less machine resetting) + Interchangeability of parts.
Cause: Standardization + Simplification.
Effect: Reduced costs (less machine resetting) + Interchangeability of parts.
Managerial Case Study (The Paper Mill):
A large paper mill was producing 2,000 different sizes and qualities of paper. They were constantly stopping machines to reset them for small orders. Their costs were very high.
The Application: They applied **Simplification**. They analyzed their sales and realized that 90% of customers only used 10 standard sizes. They eliminated the other 1,990 varieties.
The Outcome: The machines ran for days without stopping. Inventory costs dropped, and the company’s profit margin increased by 30%.
A large paper mill was producing 2,000 different sizes and qualities of paper. They were constantly stopping machines to reset them for small orders. Their costs were very high.
The Application: They applied **Simplification**. They analyzed their sales and realized that 90% of customers only used 10 standard sizes. They eliminated the other 1,990 varieties.
The Outcome: The machines ran for days without stopping. Inventory costs dropped, and the company’s profit margin increased by 30%.
Verbal Question:
1. Is Standardization only for the final product?
(Show Answer)Answer: No. It is for everything—Raw materials, Machines, Tools, and even the working environment.
3. Method Study
Explanation
The objective of Method Study is to find the **"One Best Way"** of doing a job to minimize cost and maximize quality.
Cause-Effect Relationship:
Cause: Finding and following the most efficient sequence of steps.
Effect: Minimum resource wastage + High quality output.
Cause: Finding and following the most efficient sequence of steps.
Effect: Minimum resource wastage + High quality output.
Managerial Case Study (The Pizza Delivery Story):
A pizza chain noticed that some drivers delivered in 20 minutes while others took 40 minutes. They studied the routes, the packaging sequence, and even how the driver parks.
The Application: They found the "One Best Way": Pre-heating the delivery bags, using specific U-turn points, and placing pizzas in the car in a specific order.
The Outcome: The "Standard Method" was taught to all drivers. Now, every delivery happens under 25 minutes, saving fuel and ensuring hot pizzas for everyone.
A pizza chain noticed that some drivers delivered in 20 minutes while others took 40 minutes. They studied the routes, the packaging sequence, and even how the driver parks.
The Application: They found the "One Best Way": Pre-heating the delivery bags, using specific U-turn points, and placing pizzas in the car in a specific order.
The Outcome: The "Standard Method" was taught to all drivers. Now, every delivery happens under 25 minutes, saving fuel and ensuring hot pizzas for everyone.
4. Motion Study
Explanation
Motion Study involves observing body movements (lifting, sitting, bending) to identify and eliminate **unproductive movements**.
Cause-Effect Relationship:
Cause: Elimination of wasteful movements.
Effect: Reduced time for a job + less physical tiredness for the worker.
Cause: Elimination of wasteful movements.
Effect: Reduced time for a job + less physical tiredness for the worker.
Managerial Case Study (The Bricklayer Case):
Frank Gilbreth (Taylor's associate) observed a bricklayer. He saw that the worker had to bend down every time to pick up a brick and then look for the mortar.
The Application: He designed a simple wooden scaffold that kept the bricks at the worker's **waist height**. The worker didn't have to bend anymore.
The Outcome: The number of motions dropped from 18 to 5. The worker could now lay 350 bricks an hour instead of 120, without feeling extra tired.
Frank Gilbreth (Taylor's associate) observed a bricklayer. He saw that the worker had to bend down every time to pick up a brick and then look for the mortar.
The Application: He designed a simple wooden scaffold that kept the bricks at the worker's **waist height**. The worker didn't have to bend anymore.
The Outcome: The number of motions dropped from 18 to 5. The worker could now lay 350 bricks an hour instead of 120, without feeling extra tired.
Verbal Question:
1. What is the main tool used to record Motion Study today?
(Show Answer)Answer: Video cameras or high-speed sensors that capture body movements for analysis.
5. Time Study
Explanation
Time Study determines the **Standard Time** taken to perform a well-defined job. It helps in setting production targets and deciding the number of workers needed.
Cause-Effect Relationship:
Cause: Using a stopwatch to record average time taken by a worker.
Effect: Scientific determination of daily production targets.
Cause: Using a stopwatch to record average time taken by a worker.
Effect: Scientific determination of daily production targets.
Managerial Case Study (The Data Entry Firm):
A data entry firm had 100 employees. The manager randomly yelled at people who finished less than 50 files a day. Some employees felt this was unfair.
The Application: The manager conducted a **Time Study**. He observed 10 average workers and found it takes exactly 8 minutes to process one file. In an 8-hour shift (480 minutes), with 60 minutes for breaks, the standard target should be 52 files.
The Outcome: The manager set the target at 50 files. Since the target was based on data, not mood, the workers accepted it and the "yelling" stopped.
A data entry firm had 100 employees. The manager randomly yelled at people who finished less than 50 files a day. Some employees felt this was unfair.
The Application: The manager conducted a **Time Study**. He observed 10 average workers and found it takes exactly 8 minutes to process one file. In an 8-hour shift (480 minutes), with 60 minutes for breaks, the standard target should be 52 files.
The Outcome: The manager set the target at 50 files. Since the target was based on data, not mood, the workers accepted it and the "yelling" stopped.
6. Fatigue Study
Explanation
Fatigue Study determines the amount and frequency of **Rest Intervals** required to complete a task. Resting allows workers to regain their stamina and stay productive.
Cause-Effect Relationship:
Cause: Scientifically planned rest intervals.
Effect: Higher efficiency throughout the shift + fewer accidents/errors.
Cause: Scientifically planned rest intervals.
Effect: Higher efficiency throughout the shift + fewer accidents/errors.
Managerial Case Study (The Coal Shovelers):
In a coal plant, workers were carrying heavy loads for 4 hours straight. By the 3rd hour, their speed dropped by 70% because they were physically exhausted.
The Application: Taylor applied **Fatigue Study**. He forced them to work for 45 minutes and then rest for 15 minutes.
The Outcome: Even though they "worked" less total time, the total coal loaded at the end of the day was **higher** because they stayed fresh and didn't slow down.
In a coal plant, workers were carrying heavy loads for 4 hours straight. By the 3rd hour, their speed dropped by 70% because they were physically exhausted.
The Application: Taylor applied **Fatigue Study**. He forced them to work for 45 minutes and then rest for 15 minutes.
The Outcome: Even though they "worked" less total time, the total coal loaded at the end of the day was **higher** because they stayed fresh and didn't slow down.
Verbal Question:
1. Does Fatigue Study only focus on physical tiredness?
(Show Answer)Answer: No. It also considers mental fatigue caused by repetitive work, poor lighting, or bad relations with supervisors.
7. Differential Piece Wage System
Explanation
This Differential Piece Wage System rewards efficient workers and motivates inefficient ones. It pays a **High Rate** for hitting the target and a **Low Rate** for failing to hit it.
Cause-Effect Relationship:
Cause: Wage linked to productivity levels.
Effect: Strong motivation for the slow worker to become fast.
Cause: Wage linked to productivity levels.
Effect: Strong motivation for the slow worker to become fast.
Managerial Story (The Wage Math):
In a toy factory, the **Standard Target** is 10 toys per day.
- **High Rate:** ₹100 per toy (for those who make 10 or more).
- **Low Rate:** ₹80 per toy (for those who make less than 10).
The Situation:
- **Worker A** makes 11 toys. He earns: 11 x 100 = **₹1100**.
- **Worker B** makes 9 toys. He earns: 9 x 80 = **₹720**.
The Result: Although Worker B made only 2 toys fewer than A, he lost ₹380! This massive difference in earnings "shocks" Worker B into improving his efficiency the next day.
In a toy factory, the **Standard Target** is 10 toys per day.
- **High Rate:** ₹100 per toy (for those who make 10 or more).
- **Low Rate:** ₹80 per toy (for those who make less than 10).
The Situation:
- **Worker A** makes 11 toys. He earns: 11 x 100 = **₹1100**.
- **Worker B** makes 9 toys. He earns: 9 x 80 = **₹720**.
The Result: Although Worker B made only 2 toys fewer than A, he lost ₹380! This massive difference in earnings "shocks" Worker B into improving his efficiency the next day.
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