tailieunhanh - Engineering Statistics Handbook Episode 4 Part 10

Tham khảo tài liệu 'engineering statistics handbook episode 4 part 10', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 3. Production Process Characterization ENGINEERING STATISTICS HANDBOOK hW tools raids lỉEÂtCH BACK Nixf 3. Production Process Characterization The goal of this chapter is to learn how to plan and conduct a Production Process Characterization Study PPC on manufacturing processes. We will learn how to model manufacturing processes and use these models to design a data collection scheme and to guide data analysis activities. We will look in detail at how to analyze the data collected in characterization studies and how to interpret and report the results. The accompanying Case Studies provide detailed examples of several process characterization studies. 1. Introduction 1. Definition 2. Uses 3. Terminology Concepts 4. PPC Steps 2. Assumptions 1. General Assumptions 2. Specific PPC Models 3. Data Collection 4. Analysis 1. Set Goals 1. First Steps 2. Model the Process 2. Exploring Relationships 3. Define Sampling Plan 3. Model Building 4. Variance Components 5. Process Stability 6. Process Capability 7. Checking Assumptions 5. Case Studies 1. Furnace Case Study 2. Machine Case Study Detailed Chapter Table of Contents References http div898 handbook ppc 1 of 2 5 1 2006 10 17 18 AM 3. Production Process Characterization SEMMECH MOME rTOOLS IM SEARCH BACK NEXT http div898 handbook ppc 2 of 2 5 1 2006 10 17 18 AM 3. Production Process Characterization 3. Data Collection for PPC . 1. Define Goals . 2. Process Modeling . 3. Define Sampling Plan . 1. Identifying Parameters Ranges and Resolution . 2. Choosing a Sampling Scheme . 3. Selecting Sample Sizes . 4. Data Storage and Retrieval . 5. Assign Roles and Responsibilities . 4. Data Analysis for PPC . 1. First Steps . 2. Exploring Relationships . 1. Response Correlations . 2. Exploring Main Effects . 3. Exploring First Order Interactions . 3. Building Models . 1. Fitting Polynomial .

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