Tham khảo tài liệu 'handbook of production management methods episode 11', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 290 Handbook of Production Management Methods 8. Niessink F. and Van-Vliet H. 1999 Measurements should generate value rather than data software metrics . In Proceedings Sixth International Software Metrics Symposium Cat. . IEEE Computer Society Los Alamitos CA pp. 31-38. 9. Rigby . 1994 How to manage the management tools Planning Review 21 6 8-15. 10. Riggs . and Felix H. Glenn 1983 Productivity by Objectives Prentice-Hall. 11. Schneider . Boyan . and Moore . 1998 Value function based production scheduling. In Machine Learning. Proceedings of the Fifteenth International Conference ICML 98 . Morgan Kaufmann San Francisco CA pp. 522-530. Value engineering M - 2b 3b 5c 8b 14b 16d Value engineering is defined as an organized effort directed at analysing the function of system equipment facilities services and suppliers for the purpose of achieving the essential functions at the lowest overall cost. Value engineering is the process of engineering as much value into a part or product as possible. One traditional way to achieve this goal is to monitor the product over the first year of production and make engineering changes as the opportunity arises. Value engineering becomes a planning phase in which engineering takes information from support functions including those of the supplier and customer and includes these suggestions and concerns in the design. One of the most popular tools of value engineering is the value engineering workshop . Such a workshop follows standard activities based on value engineering methodology. The main characteristic of the workshop are as below. 1. Teamwork. It has been proved that cost reduction and design improvements are best achieved by teamwork. A value engineering study is conducted by a team of people with skills tailored to the subject or product area. Teams should normally possess engineering production logistics and purchasing talents. The team should be of no more than 10 people. 2. .
