Popular Manufacturing Myths e-bog
317,82 DKK
(inkl. moms 397,28 DKK)
Addressing the beliefs and attitudes that can be detrimental to your organization's competitiveness, Popular Manufacturing Myths: Eliminating Widely Held Beliefs That Reduce Competitiveness offers time-tested insight into the most common myths encountered in manufacturing environments. It classifies these myths into management myths, shop floor myths, and if appropriate, shared management and s...
E-bog
317,82 DKK
Forlag
Productivity Press
Udgivet
8 oktober 2018
Længde
136 sider
Genrer
Economics, Finance, Business and Management
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781466566897
Addressing the beliefs and attitudes that can be detrimental to your organization's competitiveness, Popular Manufacturing Myths: Eliminating Widely Held Beliefs That Reduce Competitiveness offers time-tested insight into the most common myths encountered in manufacturing environments. It classifies these myths into management myths, shop floor myths, and if appropriate, shared management and shop floor myths.Explaining the reasons why these deeply ingrained beliefs exist, the book outlines remedies that can help to quickly dispel them within your organization. It presents case studies that examine these myths and includes numerous real-world examples that outline simple, yet effective, solutions. Some of the myths dispelled in this book include:Increasing line speed always decreases quality and creates more scrapReducing the cost of raw materials will decrease the cost of manufacturingIncreased inspection will boost qualityIf it is successful in R&D, it will be successful in productionProcess problems can only be solved by changing one process parameter at a timeCovering the basics of data collection tools, techniques, and analysis, the text offers simple methods to structure your data to assist in communicating clear and logical conclusions across the organization. The author keeps the arithmetic and statistics to a minimum, so readers only require a basic understanding of averaging and normal variation. However, for those who wish to understand a little bit more about a particular concept, technique, tool, or procedure, the book includes an addendum chapter with more detailed explanations and sample calculations.