Industrial Engineering Design of Experiments Lecture I Dr

Industrial Engineering Design of Experiments (Lecture I) Dr. Adham Ragab

Outline Goals of course Objectives of current lecture Course Description What is DOE Industrial Engineering

Course Goals Industrial Engineering By the end of this course, the student should: ◦ Understand theoretical basis of experimental design. ◦ Describe sampling, hypothesis testing and simple statistics. ◦ Explain the sources of error and confidence interval.

Course Goals Define Industrial Engineering experiments with one factor and analyze them using analysis of variance (ANOVA) techniques. Explain randomized complete designs. Design experiments using general factorial design with two or more factors. Run regression analysis. Recognize the basis of RSM Analyze data using Minitab.

Lecture Goals Industrial Engineering By the end of this lecture, the student should be aware of: ◦ Course contents, goals and grading schema. ◦ The meaning and nature of DOE.

Course Description Course Industrial Engineering Title: ◦ Design of Experiments, IE 333 Instructor: ◦ Dr. Adham Ragab, Assistant professor Text book: ◦ Design and Analysis of Experiments, D. C. Montgomery Midterms exames. and final are open book

Course Description Course ◦ ◦ ◦ ◦ ◦ Industrial Engineering Topics Introduction Basic Statistics Tests of hypothesis Experiments with a Single Factor: The Analysis of Variance Randomized Blocks Introduction to Factorial Designs The 2 k Factorial Designs Fractional Factorial Regression RSM

Course Description Grading Industrial Engineering System: ◦ 20 % Midterm (8 th week, formula sheet provided) ◦ 5% Two assignments ◦ 10% Two quizzes ◦ 10 % Project ◦ 10 % Lab work ◦ 5 % Lab exam ◦ 40 % Final exam (formula sheet provided)

Course Description Course organization ◦ 3 hours lecture per week ◦ 1 hour tutorial per week ◦ 1 hour lab per week Software ◦ Minitab Industrial Engineering

Industrial Engineering What is DOE

Experiment “A Industrial Engineering test or investigation, esp. one planned to provide evidence for or against a hypothesis” World English Dictionary.

Experiment “A Industrial Engineering test or procedure carried out under controlled conditions to determine the validity of a hypothesis or make a discovery” Science Dictionary. https: //www. youtube. com/watch? v=-KSry. JXDp. Zo https: //www. youtube. com/watch? v=7 Ff. Ka. Ig. Ar. J 8

Experiment Industrial Engineering

Industrial Engineering Observational Study

Experiment An Industrial Engineering experiment yields a sample data ◦ For example: Boiling temperature of water. Data are processed (analyzed, organized, structured, etc. ) to produce information. Information might then be further processed to produce knowledge.

Design “To work out the structure or form of (something), as by making a sketch, outline, pattern, or plans” World English Dictionary. Industrial Engineering

Design “The Industrial Engineering approach that engineering (and some other) disciplines use to specify how to create or do something. A successful design must satisfie a (perhaps informal) functional specification (do what it was designed to do); conforms to the limitations of the target medium (it is possible to implement); meets implicit or explicit requirements on performance and resource usage (it is efficient enough). A design may also have to satisfy restrictions on the design process itself, such as its length or cost, or the tools available for doing the design” Computing Dictionary.

Industrial Engineering Experiments An experiment is a test or a series of tests Experiments are used widely in the engineering world ◦ ◦ Process characterization & optimization Evaluation of material properties Product design & development Component & system tolerance determination “All experiments are designed experiments, some are poorly designed, some are welldesigned” DOX 6 E Montgomery 18

Industrial Engineering Experiments Reduce time to design/develop new products & processes Improve performance of existing processes Improve reliability and performance of products Achieve product & process robustness Evaluation of materials, design alternatives, setting component & system tolerances, etc. DOX 6 E Montgomery 19

DOE “He Industrial Engineering who fails to plan is planning to fail” Winston Churchill during WWII

DOE “Design Industrial Engineering of Experiments is a formal structured technique for studying any situation that involves a response that varies as a function of one or more independent variables”.

DOE “DOE Industrial Engineering is specifically designed to address complex problems where more than one variable may affect a response and two or more variables may interact with each other”.

DOE “Experimental design is a strategy to gather empirical knowledge, i. e. knowledge based on the analysis of experimental data and not on theoretical models. ” http: //www. camo. com/rt/Resources/desig n_of_experiment. html Industrial Engineering

Why DOE? Industrial Engineering

Industrial Engineering DOE Terminology* Objective ◦ The experiment goal Response variable ◦ Measured output value Factors ◦ Input variables that can be changed Levels (treatments) ◦ Specific values of factors (inputs) *David J. Lilja

Industrial Engineering DOE Terminology Replication ◦ Completely re-run experiment with same input levels Design Matrix ◦ The design matrix will show combinations of different levels for each input factor. Randomization ◦ “RANDOMIZATION IS THE INSURANCE POLICY AGAINST INTRODUCING BIAS INTO THE STUDY” George A. Milliken, Kansas State University

Planning, Conducting & Analyzing an Experiment Industrial Engineering 1. 2. 3. 4. 5. 6. 7. Recognition of & statement of problem Choice of factors, levels, and ranges Selection of the response variable(s) Choice of design Conducting the experiment Statistical analysis Drawing conclusions, recommendations DOX 6 E Montgomery 27

Industrial Engineering Group Activity In a military training, it is required to test the readiness of soldiers to participate in a combat. Design an experiment to achieve this goal. Define the responses, factors and levels.

Summary DOE Industrial Engineering is an important tool to gather empirical data. It might be used in scientific experiments or industrial experiments.