Conference Session

Industrial Engineering Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nadiye O. Erdil, University of New Haven

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

student feedbacksurveys, quality of student work and course grades.BackgroundThe two courses included in this study are “Quality Analysis” (QA) and “Design ofExperiments” (DOE). Both are required courses in the Industrial Engineering master’s programat the University of New Haven. The main topics covered in the QA course are principles ofquality control systems, control charts for variables and attributes, process capability analysis,measurement system analysis, and acceptance sampling plans whereas the DOE courseintroduces students to fundamental concepts in planning, designing and conducting experimentsand covers various designs such as factorial design, response surface methodology, nested andsplit-plot designs.The course assignments and

Conference Session

IED Technical Session: Preparing Students for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Joseph Wilck, College of William and Mary; Paul C. Lynch, Penn State Erie

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

bothhomogeneous teams and heterogeneous teams [4]. The advantages of homogenous teams aretypically: less conflict, better coordination, advantage of cohesion, and higher satisfaction. Theadvantages of heterogeneous teams are typically: diverse thinking, better performance oncomplex tasks, and more creativity. The disadvantages of homogeneous teams are: groupthink,decisions are one-dimensional (i.e., no contingency planning), and limited innovation. Thedisadvantages of heterogeneous teams are: difficulty agreeing, more conflict, and hard tocoordinate/manage. It has also been shown that homogeneous teams tend to reach a conclusion(albeit an inferior one) faster than heterogeneous teams [4]. This work has been corroboratedand expanded by other studies [5-9

Conference Session

Industrial Engineering Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Farnaz Ghazi-Nezami, Kettering University; Mehmet Bayram Yildirim, Wichita State University

Tagged Divisions

Industrial Engineering

, students discuss the lessons learned andpropose recommendations for system improvements in a debriefing session. The improvedscenarios indicate the status of on time delivery, reduced variation and operational expenses,lower inventory levels, improved product quality, and increased productivity, revenue, andavailable capacity [12]. Page 26.149.6The designed network in this game considers a low-volume high-mix product supply chain andincludes four different customers, six suppliers and a manufacturing facility, which in turnincludes production planning and accounting departments, warehouse and factory area. Thecustomers, manufacturing company and

Conference Session

Reforming the Industrial Engineering Curriculum

Collection

2006 Annual Conference & Exposition

Authors

Ana Ferreras, University of Central Florida; Lesia Crumpton-Young, University of Central Florida; Sandra Furterer, University of Central Florida; Luis Rabelo, University of Central Florida; Kent Williams, University of Central Florida; Pamela McCauley-Bell, University of Central Florida; Edward Hampton, University of Central Florida

Tagged Divisions

Industrial Engineering

beoffered during the Junior and Senior years of student classification starting in the Fall 2006semester. The planned topic areas of concentration include: 1) Leadership foundationconcepts and theories, 2) Communication, Negotiation, Conflict Management, and GlobalAwareness as well as other leadership principles.The goals of the Leadership Development Institute include: Provide students with a baseline of knowledge for exploring and understanding engineering leadership and management challenges in engineering environments; i.e. solutions, tools, and approaches in today’s engineering professional and multi-cultural/multi-national environments

Conference Session

Innovative Teaching Methods in IE Education

Collection

2006 Annual Conference & Exposition

Authors

Durward Sobek, Montana State University; Susan Freeman, Northeastern University

Tagged Divisions

Industrial Engineering

UniversityIntroduction Lego motorcycle production Cookie Treat productionIE History Discussion of research on IE’s Students present IE’s from researchWork Design & Work Workstation design for Lego Time study lab – students performMeasurement motorcycle time study at 6 stationsCapacity Planning Small group productivity and capacity Not covered calculationsLayout & Production Layout of Lego airplane production Layout of small playground in groupsProduction Systems Push versus pull production Line balancing versus bucket brigade

Conference Session

Capstone Design Projects and Courses

Collection

2012 ASEE Annual Conference & Exposition

Authors

Tim L. Brower, University of Colorado, Boulder

Tagged Divisions

Engineering Management, Industrial Engineering, Systems Engineering

student timecommitment was limited.The scale of the project described in this paper is markedly bigger than that reported onpreviously.7 The project deliverable was an entire water tower apparatus and the student timecommitment was much greater.Faculty felt that an active learning component was important to keep in the current project. Anactive learning component is directly linked to ABET EAC8 Student Outcome (i), “a recognitionof the need for, and an ability to engage in life-long learning.” The CU-Boulder /CMU MEPartnership Program performance criteria for this outcome are: 1) Plan, organize and assess learning: Achievable goals are developed individually. Work planning techniques are used to achieve results. Time management techniques

Conference Session

Integrating Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Karen M. Bursic, University of Pittsburgh

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

provide “evidence for the value of rapid feedbackand the currently popular clickers”18 in foundation engineering courses, they did note that theycould not make generalizations about the effectiveness in other learning environments andsuggested that further study was worthwhile.Finally, although it may be clear to any seasoned instructor, it is worth noting that implementingclickers in the classroom is time consuming. The instructor needs to spend time learning thetechnology and preparing appropriate questions, then planning how to go about incorporatingthem into the class plan or lecture. The engineering economy course described here requiredfrom a ½ to 1 hour per lecture to incorporate the “clicker questions” into previously developedPowerPoint

Conference Session

Student Development and Assessment in IE Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Mysore Narayanan, Miami University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

. The 20 characteristics chosen bythe author was based on Deming’s 14 points that pertained to TQM. This was recorded in a spreadsheet form as shown in Appendix B. Theseportfolios can also be graded, evaluated and assessed using a variety of rubrics andassessment tools. The author has previously presented some of these results in a form atthe 114th ASEE Annual Conference in Honolulu, Hawaii (Narayanan 2007). Theauthor plans to generate and utilize a rubric for purposes of holistic assessment. Thisrubric is based on Washington State University’s Critical Thinking Project. This isshown in Appendix D. The 20 characteristics chosen by the author are recorded and incorporated intoan excel spreadsheet for documenting collected data

Conference Session

Lean and Green

Collection

2010 Annual Conference & Exposition

Authors

Sharon Johnson, Worcester Polytechnic Institute

Tagged Divisions

Industrial Engineering

additionalmaterials to complement the simulation. In this paper, we provide examples of an inquiry-basedapproach within a lean simulation of a clock assembly process, and also provide examples ofcomplementary activities that can be used with the simulation. We characterize the use of thelean simulation in an engineering course at five universities as being either inquiry-oriented ormore directed, and explore the impact on students’ evaluation of their proficiency in lean and interms of their ability to define lean. The preliminary results suggest that greater inquiryincreases students’ assessment of their proficiency, as well as an improved ability to define lean.In future analysis, we plan to characterize the use of materials at the universities

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lisa Bosman, Purdue University, West Lafayette; Aasakiran Madamanchi, Purdue University, West Lafayette; Scott R. Bartholomew, Purdue University, West Lafayette; Vetria L. Byrd, Purdue University, West Lafayette

Tagged Divisions

Industrial Engineering

approaches for data-guided decision-making in theirexisting business operations; a recent survey indicates that the majority (~85%) of large businessesare in the midst of AI implementation plans [20].Given the greater focus on AI to support decision making, there is a need for industrial engineeringstudents to be prepared to understand and use AI tools in a business context. Yet, at this stage,there is a dearth of educational resources on AI or related technologies that are tailored for thisstudent population [21]. Emerging programs to integrate AI education into industrial engineeringcurriculum include the development of Industry 4.0 themed labs, both physical [22, 23] and virtual[24]. To date, these efforts tend to be technology-focused with an

Conference Session

IED Technical Session: Preparing Programs for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Houshang Darabi, University of Illinois, Chicago; Fazle Shahnawaz Muhibul Karim, University of Illinois, Chicago; Samuel Thomas Harford; Elnaz Douzali, University of Illinois, Chicago; Peter C. Nelson, University of Illinois, Chicago

Tagged Divisions

Industrial Engineering

70 industry projects in almost every area that is recognized by theuniversities in the United States related to the Industrial Engineering field. The areas include butnot limited to Safety Engineering, Ergonomics, Facilities Planning, Logistics and Supply Chain,Quality Control, Manufacturing, Construction, Financial Decision Making, Education,Healthcare, and Project Management. He has applied different techniques including OperationsResearch, Simulation, Data Mining and Machine Learning, Lean Management, and Statistics inthese projects. The expert does not categorize the keywords based on his personal beliefs aboutIndustrial Engineering related jobs. He uses his industry and academia experience to select andcategorize the keywords. In his

Conference Session

IED Technical Session: Preparing Students for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rick Olson, University of San Diego; Andrés Esteban Acero, Universidad de los Andes

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

the first author. Thesecond author was a visiting scholar who spent several months on our campus. He is anindustrial engineer with research interests in engineering and social justice. Consistent with thevision of introducing changemaking themes in required classes in the majors, the initial plan wasto do this in several ways including:  Introducing some lecture topics in the context of changemaking  Rewriting some homework problems to include themes related to changemaking  Create two new cases with social justice, humanitarian, or sustainability foundationsIn the end, these goals proved to be overambitious. The first goal was met with modest success,but the last goals proved too difficult for reasons that will be discussed below

Conference Session

Industrial Engineering Technical Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Rick Olson, University of San Diego

Tagged Divisions

Industrial Engineering

additional textbook problems • pdf solution to the in-class exercises (posted after they were completed) • solutions to 11 old examsSome students were intimidated by the volume of material available online. They needed to bereassured several times that the lectures were the only things that they were required to view.The textbook problems and additional pdf solutions were intended to be used as a resource thatthey could use as needed. Page 24.616.5The class easily covered the same all of the content that was covered in Spring 2012. There were42, 55-minute classes during the semester. They were used as follows: • 27 days planned in-class

Conference Session

Systems Engineering Education and K-12

Collection

2012 ASEE Annual Conference & Exposition

Authors

Pablo Biswas, Texas A&M International University; Runchang Lin, Texas A&M International University; Ramesh Hanumanthgari, Texas A&M International University; Sri Bala Vojjala

Tagged Divisions

Engineering Management, Industrial Engineering, Systems Engineering

: initial planning of ViTAS 3. Iteration 0: user stories for ViTAS 4. Constructive iterations for ViTAS 5. Release iterations 6. ProductionNext sections describe the above steps during the development of the ViTAS application.The scope of ViTASThe ViTAS is a web-based application, which provides the student and the professors of TAMIUan interactive communication baseline outside of class. The students will upload their homeworksolutions given by the professor on a particular class such as college algebra, business math I andII, general physics, principal of electrical engineering, etc. [Table 4]. The purpose of thisapplication is to reduce the class drop rate by 50% especially for the freshman and sophomorestudents. Detail discussion

Conference Session

Industrial Engineering Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ergin Erdem, Robert Morris University; Christopher Johnson, Robert Morris University; Sangho Shim, Robert Morris University; Jordan Williams

Tagged Divisions

Industrial Engineering

Paper ID #22477Truck-Drone Two-tier Delivery Network DesignDr. Ergin Erdem, Robert Morris University Ergin Erdem is an assistant professor of Department of Engineering at Robert Morris University. Dr. Er- dem holds BS and MS degrees in industrial engineering from Middle East Technical University, Turkey and a PhD in Industrial and Manufacturing Engineering from North Dakota State University He has previ- ously worked as a lecturer and research associate at Atilim University and North Dakota State University. His research interests include; modeling for facility planning, genetic algorithms, education of manufac- turing

Conference Session

Industrial Engineering Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Behin Elahi, Purdue University, Fort Wayne

Tagged Divisions

Industrial Engineering

Paper ID #19503Implementation of a Learning Assessment: Case Study of Applied StatisticsCourse in Industrial EngineeringDr. Behin Elahi, Purdue University, Fort Wayne Dr. Behin Elahi is an Assistant Professor, Ph.D. in Industrial Engineering, Purdue University at Fort Wayne . Previously, she was fixed-term instructor at Michigan State University (East Lansing, MI) teach- ing courses such a manufacturing plan and control, supply chain modeling and management. She got her Ph.D. in Industrial Engineering from the University of Toledo (Toledo, OH) in 2016. She has also a Master degree in industrial Engineering and was a

Conference Session

Current Topics in IE Education

Collection

2006 Annual Conference & Exposition

Authors

Andrew Jackson, Texas A&M University-Commerce; Mary Johnson, Texas A&M University-Commerce; E. Delbert Horton

Tagged Divisions

Industrial Engineering

supported, in part, by the legal system and by the risk of liability for disclosingpersonal information that might otherwise be considered private. The easy answer to such arequest from the company’s perspective is “No”, without weighing the merits or the legitimacyof such a request. The next obstacle to overcome is to obtain information from the proper level ofsupervision within the company. The immediate supervisor is probably the person who is bestsuited to respond to such requests from the program, but they may be difficult or impossible todefine without talking to the alumni-employee directly. By letting the alumni member know inadvance that you are planning to ask their boss about their SKAs to support ongoingaccreditation efforts, the

Conference Session

Methods, Cases, and Directions

Collection

2012 ASEE Annual Conference & Exposition

Authors

Bidhan C. Roy, University of Wisconsin, Platteville; Osama M. Jadaan, University of Mount Union; Mitchell Dean Cornelius, University of Wisconsin, Platteville

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

AC 2012-4882: A NANOTECHNOLOGY MODULE WITHIN THE CUR-RENT COURSE IN ENGINEERING ECONOMYDr. Bidhan C. Roy, University of Wisconsin, Platteville Bidhan Roy (Ph.D. 2003, UIUC) is an Assistant Professor with the Department of General Engineering, University of Wisconsin, Platteville. His research interests are primarily in mechanics with a focus on biological systems, applied mathematics, and numerical methods.Dr. Osama M. Jadaan, University of Wisconsin, PlattevilleMitchell Dean Cornelius, University of Wisconsin, Platteville Mitchell Cornelius is originally from Decorah, Iowa. He is currently a Senior Mechanical Engineer at the University of Wisconsin, Platteville, and he plans to attend Iowa State University for graduate

Conference Session

IE Applications and Systems

Collection

2010 Annual Conference & Exposition

Authors

Samuel Guccione, Eastern Illinois University; Thomas McDonald, Eastern Illinois University

Tagged Divisions

Industrial Engineering

(non radiological or x-ray) 2325412 Pharmaceutical preparations (e.g., capsules, liniments, ointments, tablets) manufacturing 1621498 All other outpatient care centers 1524114 Hospital and medical service plans 1922190 Other justice, public order, and safety activities 1621112 MD's (mental health) 1 NOT Identifiable 12There were 82 studies (84.5

Conference Session

Industrial Engineering Division Tech Session 2, IE-ing the Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Nadiye O. Erdil, University of New Haven

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

capability analysis, measurement systemanalysis, specification and tolerances, and acceptance sampling plans. Students typically take thiscourse in the second year of their masters program. The course learning outcomes are (a) Defineconcepts in quality and quality management; (b) Apply statistical tools in analysis andapplication of Statistical Process Control; (c) Produce and employ control charts; (d) Explainsampling process; and (e) Design acceptance sampling procedures for quality control.The course work and activities typically include a term paper, a term project, homework, in classexercises and discussions, quizzes and two exams (midterm and final). During the study periodthe author added the library training and a factory visit to the class

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Leonardo Bedoya-Valencia, Colorado State University, Pueblo; Yaneth Correa-Martinez, Colorado State University, Pueblo; Katherine Sofía Palacio, Fundacion Universidad del Norte; Luceny Guzman Acuña, Universidad del Norte

Tagged Divisions

Industrial Engineering

Modeling and Simulation in health care and energy planning. He has participated in several funded projects through various sources such as NASA, the Department of Homeland Security, and the Colombian Research Institute. He also have several years of experience working as a consultant for Pharmaceutical and energy companies in the U. S. and Latin America.Dr. Yaneth Correa-Martinez, Colorado State University, Pueblo Hasan School of BusinessMrs. Katherine Sof´ıa Palacio, Fundacion Universidad del Norte Education: PhD in Engineering Management, May 2014 - Old Dominion University, Norfolk, VA. Mas- ter of Science in Industrial Engineering, September 2006 - Universidad del Norte, Barranquilla, Colom- bia. Bachelor of

Conference Session

Industrial Engineering Division Technical Session 3

Collection

2016 ASEE Annual Conference & Exposition

Authors

Aimee T. Ulstad, Ohio State University; Yeonsu Ryu

Tagged Divisions

Industrial Engineering

students the intricacies of business practices and the help themunderstand the tradeoffs between different organizational goals in Supply Chain Management.In the Integrated Systems Engineering department, the undergraduate students take rigorouscourses in linear and non-linear programming as well as simulation modeling as part of theiroperations research core classes. In their junior year, they take a class where many of thesemethods can be applied called Production Planning and Facility Layout. It is this course that isthe subject of the research described in this paper.Today’s industrial systems engineering students do not just go into the traditional manufacturingsector, but also delve into many diverse fields such as healthcare, the airline

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Elif Akcali, University of Florida; Wayne C.W. Giang, University of Florida; McKenzie Landrum, University of Florida

Tagged Divisions

Industrial Engineering

training. Also, weexpected that through exposure and use of the divergent thinking methods during the courseproject, these effects would persist until the end of the course. Planned comparisons wereconducted between the pre-DTSD training, post-DTSD training, and end-of-course data usingpaired t-tests. In the summer semester, we found some evidence supporting these hypotheses. Wealso found a significant increase in CSE from pre-DTSD training and the end of the course,t(7)=5.33, p=.001, Δ=0.41. We found marginal evidence that CSE increased immediately after thetraining (i.e., pre-post comparison), t(7)=2.31, p=.054, Δ=0.24, and between the post-DTSDtraining and end-of-semester measurement point, t(7)=2.16, p=.068, Δ=0.17. For CPI, we foundmarginal

Conference Session

IE Curriculum Design

Collection

2007 Annual Conference & Exposition

Authors

Sima Parisay, California State Polytechnic University-Pomona

Tagged Divisions

Industrial Engineering

selected for a report and others should be disregarded. Forexample, we will not increase demand for Gas 1 since its shadow price is negative. Yet, inanother case, if we plan to increase the availability of Oil 1 or Oil 2, Oil 1 should be selectedsince its shadow price is higher. I highlight the fact that though the software mathematicallycalculates the allowable ranges, these results may need to be refined for practical reasons whenbeing mentioned in the report. For example, the software shows that unit profit per unit of Oil 1used in Gas 1 is currently 21 and has an allowable range of − ∞ to 21. From a practical point ofview, profits cannot be negative. Therefore in a report the allowable range should be noted as 0to 21.4- Other OR TechniquesA

Conference Session

Improving course effectiveness

Collection

2013 ASEE Annual Conference & Exposition

Authors

Richard L Marcellus, Northern Illinois University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

agreement that consciously developing metacognitive habits significantlyincreases the ability to transfer academic learning to the workplace5-9 (The references given are onlya small representative sample.). This diagram summarizes metacognition: awareness dealing with problems Self planning while learning / teaching evaluating thinkingThe rest of this paper focuses on problem posing and problem structuring, with little explicitmention of metacognition. However, thinking about the essential qualities of problems is reflectivein nature, and hence metacognitive. Here is an example

Conference Session

Integrating Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Kellie Grasman, Missouri University of Science & Technology; Suzanna Long, Missouri University of Science & Technology; Sean Michael Schmidt, Missouri University of Science & Technology

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

the hybrid/buffet course was offered to all sections on campus in both Spring 2011and Fall 2011, no control group was available to compare learning within a given semester.Therefore, baseline data from an offering of the course in the traditional format in Fall 2010 wascompared to data collected from the two hybrid/buffet sections.The assessment plan consisted of a comparison of student performance on eight exam questionscovering select fundamental learning objectives of the course. The exam questions werepresented to students in the final exam of all Fall 2010 sections delivered in a traditional manner.The same questions were then embedded in exams of the hybrid/buffet course in both Spring2011 and Fall 2011. The Instructor was the same for

Conference Session

Student Development and Assessment in IE Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Yaseen Mahmud, Morgan State University; Masud Salimian, Morgan State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

. Page 25.231.1 c American Society for Engineering Education, 2012 Assessment of Student Performances in Operations Research Class Delivered by an Innovative ApproachIntroductionOperations Research (OR) provides the core foundation skills and knowledge set for IndustrialEngineers (IE). It is one of the first courses to introduce crucial skills in its algorithmic approachto problem solving and abstract mathematical modeling of real systems. It provides themathematical science of optimization that underpins functionality of the optimization tools andalgorithms used by IE’s. It is a gateway course for IE specializations such as Simulation,Production Planning and Control, Logistics, and similar

Conference Session

IE Technical Session I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ivan G. Guardiola, Missouri University of Science & Technology; Susan L. Murray, Missouri University of Science & Technology; Elizabeth A. Cudney, Missouri University of Science & Technology

Tagged Divisions

Industrial Engineering

solutions to their models andformulations via assistance of software. Once, these solutions were obtained they had toimplement them within the game. These solutions gave them insights into the amount ofeach crop to plan in order to realize higher profits or experience points, and include fixedcosts of beautification. Finally, component 3 consisted of students focusing on the evolution of theproblem during a period of one month. Thus, each student was required to keep a“farmer’s log,” which was to be a table consisting of each implementation of the gamewhere key changes had occurred. The students were asked to maintain informationregarding addition of variables, constraints, shifts in policy, and model modifications. Inaddition, students had

Conference Session

IE Technical Session I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Elizabeth A. Cudney, Missouri University of Science & Technology; Steven Michael Corns, Missouri University of Science & Technology; Jennifer A. Farris, Texas Tech University; Stephen Gent, South Dakota State University; Scott E. Grasman, Rochester Institute of Technology (COE); Ivan G. Guardiola, Missouri University of Science & Technology

Tagged Divisions

Industrial Engineering

, inventory management, transportation, andproduction control/scheduling systems. The model was used as a tool to quantify the impact ofimplementing lean manufacturing techniques during the planning and evaluation stage. Themodel generated resource requirements and performance statistics for the current and proposedsystems. These example applications indicate that computer simulation can be effective inpromoting systems understanding of the impacts of lean implementation. However, as computersimulation of lean environments has not yet been expanded to educational settings, there issignificant scope for work in this area. The proposed simulation modules and virtualenvironment to be designed and implemented in this research support the development

Conference Session

IE and the Classroom

Collection

2010 Annual Conference & Exposition

Authors

Dean Jensen, South Dakota School of Mines and Technology; Stuart Kellogg, South Dakota School of Mines and Technology

Tagged Divisions

Industrial Engineering

mathematical statistics. As with the Stochastic Modeling course,approximately ¼ of the semester is spent reviewing how to apply these prerequisites in anindustrial or service application. One of the first reinforcement activities for this course includes an in-class review exercisefor hypothesis testing. This exercise includes a review and reinforcing application practice onhypothesis tests and distribution yield; distribution assumption checks; single sample acceptanceplans; and MIL STD 105E acceptance plan operations. The in-class exercise has the studentsdevelop a decision-table for selecting the most appropriate hypothesis test for a range ofsituations. One of the student sample products from this exercise is shown in Figure 5 below.While it