Organizations have become more challenging to manage as they expand in size and complexity. The public is concerned about inefficiencies in the administration of public systems. In most organisations, tasks are completed through trial and error, with no standard by which to judge individual and collective performance. As a result, work measurement is a useful instrument for facilitating these actions. One strategy to boost productivity is to track your work. It provides a quantitative framework for assessing current production levels as well as setting and achieving realistic new objectives. This practise help gives a high-level overview of how work assessment is used to develop productivity goals. It focuses on how industry practitioners and CPAs may help management enhance productivity by creating and monitoring productivity standards, frequently with suitable outside technological aid.
This book provides comprehensive insights into the field of work measurement & methods improvement. It is designed to provide in-depth knowledge about the various concepts and methodologies of this field. The chapters in this book cover a wide spectrum of scientific disciplines such as methods analysis, graphical productivity analysis, measuring productivity, and standard data systems. The present piece of work extensively correlates the various topics such as predetermined time systems, work sampling, physiological work measurement, labor report, and improving productivity. The topics covered in it deal with the fundamental subjects of the area. Some of the themes covered in this book address the varied branches that fall under this category. This book is a complete source of knowledge on the present status of this important field.
Preface
1. Work Measurement and Methods Improvement: Introduction
1. Introduction
2. Work Measurement in Industry
3. Work Measurement: Concept
4. Method Time Measurement
5. Defining Measuring Units
6. Approach of MTM
7. Employee Training Methods
8. Work Measurement Techniques Methods Types
Conclusion
References
2. Methods Analysis
1. Introduction
2. Concept and definition
3. Job analysis methods
4. Methods used for collection of data
5. The scientific method
Conclusion
References
3. Graphical Productivity Analysis
1. Introduction
2. Methods of graphical analysis of production processes
3. Graphical analysis tools
Conclusion
References
4. Work Methods Improvement
1. Introduction
2. Methods improvement defined
3. Ways to improve work performance
4. Acknowledge your strengths and weaknesses
5. Principles of motion economy
6. Man vs. Machine
7. Selling the solution
Conclusion
References
5. Measuring Productivity: Time Study
1. Introduction
2. Productivity
3. Purpose of work measurement studies
4. Rating job performance
5. Pfd allowances
6. Calculating the standard time
7. Conducting a time study
8. Elemental analysis
9. Data analysis
Conclusion
References
6. Standard Data Systems
1. Introduction
2. The purpose of standard data systems
3. Constructing standard data systems
Conclusion
References
7. Predetermined Time Systems
1. Introduction
2. The purpose of predetermined time standards
3. Use of predetermined time systems
4. Advantages of pmts
Conclusion
References
8. Work Sampling
1. Introduction
2. Definition of work sampling
3. Theory of work sampling
4. Advantages of work sampling
5. Limitations of work sampling
Conclusion
References
9. Physiological Work Measurement
1. Introduction
2. Anthropometry
3. Muscular work in occupational activities
4. Acceptable workload in manual materials handling
5. Biomechanics
6. General fatigue
7. Fatigue and recovery
Conclusion
References
10. Labor Reporting
1. Introduction
2. Constructing a labor variance report
3. Labor efficiency
4. Using labor reporting and work sampling to manage
staffing levels
5. Quality of work life
Conclusion
References
11. Improving Productivity: Introduction to Ergonomics
1. Introduction
2. Human factors and ergonomics
3. Challenges faced by hr manager
4. Industrial applications of ergonomics
Conclusion
References
Index
Hildred Lo pursued his Ph.D. in Industrial Engineering & Technology from University of Technology, Munich. He is a Senior Lecturer at Community College, Lugano. He is actively engaged in the researches focused on statistical process control, work design, methods engineering, production and operations management. Lo has authored and edited several texts, which include articles, technical papers and book chapters, in the fields of industrial quality control & work measurement. He has also presented 9 papers at scientific conferences and symposiums.
