Statistical Process Control For Surface Mount Technology

This Book Is The Outgrowth Of 5 Years Consulting Experience In The Applications Of Statistical Methods To Surface Mount Technology (Smt). This Book Provides The Reader With The Methodology Of Applying Statistical Process Control (Spc) On The Manufacturing Line. This Methodology Is Called Data Sleuthing. The Book Is Divided Into Two Parts. Part I Provides An Overview Of The Methods Of Data Sleuthing. Part Ii Provides A Case Study Approach To The Implementation Of Spc Throughout The Whole Smt Manufacturing Line. It Starts With How To Qualify The Raw Material From The Supplier To The Implementation Of Spc For Final Test Of The Printed Circuit Board. In Part I, We Discuss In Detail The Tools And Methods Of Data Sleuthing. Chapter 1 Presents The Concept Of Data Sleuthing. Data Sleuthing Is The Practice Of Employing Statistical Methods And Strategies To Detect, Identify, And Eliminate Excessive Variation In Smt. Data Sleuthing Has Three Components: Statistical Tools, Strategies For Implementation, And The Axioms Of Deductive Reasoning And Logic. It Is The Synergistic Relationship Of The Three That Allows Us To Solve Cases Of Excessive Variation. In Chapters 2 Through 6, We Provide The Reader With The Basic Tools To Summarize The Data, Employ Control Charts Online, Conduct Process Capability Studies, And Design Experiments To Obtain Process Knowledge About What Input Variables In The Process Affect The Process Output Variable(S) In Question. We Also Provide Ways To Optimize The Process Through The Application Of Response Surface Methodology. We Show Ways To Develop Relationships Between Process Characteristics Through Regression Analysis. In Part Ii Of The Book, The Casebook Of Data Sleuthing, We Provide The Reader With 11 Cases On How To Implement Data Sleuthing In Practice. One Of The Key Components Of Solving Each Of These Cases Is The Axioms Of Data Sleuthing. These Axioms Are Quotations On Deductive Reasoning And Logic From Sherlock Holmes. The Names Of The Case Studies Are Based On Actual Story Names From Sherlock Holmes To Reflect The Importance Of These Axioms In Practice. At The Start Of Each Case Study Is Listed The Tools, Strategies, And Axioms Applied To Solve The Case. Data Sleuthing Is The Practice Of Employing Statistical Methods And Strategies To Detect, Identify, And Eliminate Excessive Variation In Surface Mount Technology (Smt) Processes. In This Definition There Are Two Key Concepts Which Are Delineated In This Monograph: (1) Statistical Methods, And (2) Excessive Variation. Data Sleuthing Is Based On The Principles Of Deductive Reasoning And Logic. The Most Famous Practitioner Of These Principles Is The Legendary Fictional Detective, Mr. Sherlock Holmes, Created By Sir Arthur Conan Doyle (1986) .We Take The Approach Of Mr. Sherlock Holmes In This Treatise By Developing A Case Study Approach To Solve Situations Where Excessive Variation Is Encountered. This Is Accomplished Through The Use Of Tools And Methods That Reflect Deductive Reasoning And Logic. This Book Is Divided In Two Parts. Part I Provides The Reader With An Overview Of The Tools Necessary To Employ In Practice To Solve Cases Of Excessive Variation. Part Ii Of The Book Provides 11 Case Studies Which Gives The Reader Practical Examples Of How To Employ These Tools In Reallife Situations To Solve Cases Of Excessive Variation Throughout The Smt Process. The Axioms Of Data Sleuthing Are Employed To Remind The Practitioner That The Basis Of Solving The Case Of Excessive Variation Is Deductive Reasoning And Logic. The Scientific Approach To Studying Variation Indicates That There Are Two Classifications For Process Variation Namely Common (Sometimes Called Random) And Special (Sometimes Called Assignable) Causes Of Variation. Before Providing An Example From An Smt Process, We Ask The Reader To Conduct A Simple Exercise. Write Your Name Three Times. Next Write Your Name With The Opposite Hand. Examination Of The Signatures From Writing It Three Times