address the problem of optimizing cutting conditions using factorsof feed, speed, depth of cut, and cutting tool geometry. The outputs measuredwere surface finish of the part and wear of the tool. In this paper, the authors usedone team project to show how the experimental design was generated, datacollected and analyzed, and practical conclusions obtained. Only surface finishdata were shown in this paper.Based on the discussions and feasibility of the lab schedule, the factors and levelschosen for the experiment are shown in Table 1. Page 11.199.2Table 1. Factors and Levels of the Experiment Levels
base include 1) timely patient scheduling, 2) timely reporting of resultsto physicians, and 3) providing an expected level of technology.The purpose of this project is to utilize Lean and Six Sigma Methodologies to understand thecharacteristics of the current radiology processes that are limiting the ability of the radiologydepartment to appropriately insure the referral base for the CT and MR service areas. Theconsequences for not doing this project are a continued loss of market share for the CT and MRdepartments, loss of referral base, decreased patient satisfaction, and loss of revenue.Problem Statement: Lack of availability of CT and MR procedures, and untimely reporting ofresults is negatively impacting the hospital referral base
program, and certainly feasible for any engineering program.IntroductionThe Accreditation Board for Engineering and Technology (ABET) has adopted as its motto“Quality Assurance in Engineering, Computing, and Technology Education.” ABET’s Page 12.102.2Engineering Criteria 2000 (EC 2000)1 was used voluntarily in accreditation visits starting withthe Fall 1998 visit cycle, with full implementation in Fall 2001. The Department of IndustrialEngineering (IE) at The University of Alabama (UA) was one of the programs visited in Fall2001, though curriculum and assessment changes here literally began immediately after theprevious ABET visit in October 1995
voluntary. Ethically, I am compelled to make good use of this time on activitiesof interest to the Institution. Time that is being spent on work and has not been assigned bymanagement as Required Activities must be considered to be work on Voluntary Activities. Ifvoluntary activities are routinely channeled to the interests of the College and the Students, thenthe available Voluntary Activity Time (VAT) could be an indicator of institutional quality. Theratio of VAT to Required Activity Time (RAT) could become an index to excellence!Figure 1 displays a breakdown of the contract year into four periods. Except for support ofInfrastructure, Students provide all the demand for my contract services. For most of our faculty,RAT is generated only when
and Manufacturing Systems Engineering Department, Iowa State UniversityAbstractIn this paper, for the capstone design course, we first show how we demonstrate that ourIE majors attain the ABET outcome items (c) and (h) where (c) is an ability to design asystem, component, or process to meet desired needs within realistic constraints such aseconomic, environmental, social, political, ethical, health and safety, manufacturability,and sustainability and (h) is the broad education necessary to understand the impact ofengineering solutions in a global, economic, environmental, and societal context. Toachieve this, we utilize rubrics that are primarily filled out by the instructors and surveysthat are filled out by graduating seniors, Year 1 alumni
experience.1-4 It is also apparent that not all active learning exercises are equallyeffective. Thus, while the anecdotal evidence strongly suggests that students enjoy the hands-onactivities more than traditional classroom delivery (i.e., via lecture), we saw a need to confirmthe pedagogical merit of the specific activities employed.In this paper, after a brief description of the courses and institutions where they are taught, weprovide descriptions of some of the exercises. We then present data and analysis from a surveyof students regarding their engagement and level of learning across the spectrum of activities.We conclude with a summary of responses to open ended questions related to their overallperceptions of the field to which they’ve just
document throughout the Spring semester, as it progressedfrom a rough draft document to the final product. During the ABET Visiting Team site visit inOctober, the Industrial Engineering Industry Advisory Board once again showed their dedicationto the IE program by meeting with the ABET Program Evaluators (PEVs) during an hour-long,closed meeting, followed by an informal discussion around the lunch table that also includedcurrent students, recent alumni, administrators, and faculty members from the department. Theseformal and informal commitments of their time and efforts have created an indelible model ofstakeholder commitments that each stakeholder group should endeavor to emulate.Stakeholder Model to Support Assessments Figure 1 shows one
undergraduatestudents rarely have the opportunity to use commercial systems as part of their curriculum. Inthis paper, we describe a framework for teaching enterprise decision-making, and examine thevalue of incorporating a hands-on module using the Oracle E-business Suite in a productionplanning and control course. We developed task-specific measures of student achievement andself-efficacy to examine learning, and found that use of the ERP-based modules improvedstudents’ confidence in their knowledge of ERP-based systems as well as traditional productionplanning and control topics.1. IntroductionToday’s organizations are structured around integrated business processes (e.g., productdevelopment, supply chain and order fulfillment) that require close
/vision statement; program educational objectives; program outcomes; programstrategies and assessment methods; and use of results.The following seven suggestions were offered for those preparing for an assessment-basedaccreditation visit such as EC-2000: 1. First focus on what is important to the college and then focus on what is important for accreditation. 2. Improve the existing assessment process and measures. 3. Share information and collaborate as much as possible. 4. Clarify terminology and establish the key elements of the assessment plans early in the development process. 5. Identify benchmark institutions and key constituents. 6. Gather data and lots of it. 7. Develop a system to document the use of
identifysources of data needed to verify the progress being made toward our stated goals and objectives.Another element of the self-study and site visit preparation process was to document results fromvarious program constituents to help insure that Program Educational Objectives (PEOs) werebeing satisfied, as required by the accrediting body. Several tools were used throughout the self-study to identify course-level competencies (IECCs) that were then mapped to IE program-leveloutcomes (IEPOs) and finally to the stated program PEOs. Throughout the self-assessmentprocess, feedback was collected and information was solicited from four basic sources,specifically: 1) Internal Informal sources, 2) Internal Formal sources, 3) External Formalsources, and 4
IE to an organization.1 IntroductionSince the mid-90’s, lean has been a hot topic among practitioners of industrial engineering. Theannual IIE Solutions Conference features many sessions promoting lean and helping attendeeslearn to apply lean concepts in their jobs. IIE has held focused Lean Conferences. In San Diego,the IIE Chapter meetings featuring lean are the best attended events. Other organizationsincluding AME, APICS, ASQ, INCOSE, and SME offer lean meeting programs. Professionalorganizations and for-profit groups have developed lean certificate programs. Universities alsooffer lean programs, but these are often offered by Schools of Business Administration, orthrough extension programs.And yet few industrial engineering programs
,designed and operated in order properly to support a coherent goal. Our approach aims to rectifythis situation by adopting: Table 1. Philosophy of Healthcare Systems Engineering (1) RIGHT PEOPLE AND ORGANIZATION, TECHNOLOGICAL ADVANCEMENT, INFORMATION INTEGRITY AND INTEGRATION + (2) EFFECTIVE METHODOLOGY FOR CONTINUOUS SYSTEMS IMPROVEMENT Page 12.396.4
found in various classrooms across thecampus: (1) seating and room layout, (2) boards and projection and (3) computers and videocapture. In addition to the survey data, comments were solicited and compiled for continuousimprovement.A total of 75 students, faculty and staff responded to the survey. Within the three categories ofinstructional technology, three survey questions were asked to determine: (1) which technologieswere used, (2) which technologies did individuals enjoy and (3) which technologies didindividuals feel would enhance learning?There were several conclusions resulting from the data analysis including differences betweenfaculty and student preferences. The most interesting result was the compelling relationshipbetween enjoyment
engineering students enrolled in the sales engineering courses between the Fall 2010and Fall 2012 semester were surveyed both at the beginning and end of the semester (N = 33).An instrument was developed for this study to specifically assess demographics, beliefs, andtechnical sales skills taught in the course (Appendix I). Student beliefs were specifically utilizedbecause only the individual can truly express their own attitudes, emotions, and internal stateswithin a specific domain6. The beliefs portion of the survey included six items rated from low tohigh on a scale from 1 to 10. A pre-post analysis of item means was undertaken for these items.The sales skill items were designed around the sales minor and the course content providinginitial
competitive edge. As they do, theymust resolve unique demands on their information technology, their structure, their processes,and their culture. Most critical, however, is the challenge posed by analytical talent, the peopleat all levels who help turn data into better decisions and better business results.” [1]The above quote is from a publication by Accenture, a global consulting firm, about theimportance of recruiting analytic talent for businesses. In response to this need several collegeshave developed graduate programs in analytics, one of the first being North Carolina StateUniversity’s Institute of Advanced Analytics, which boasts job placement rate of 100% [2].Several other articles echo the need for trained data analysts in the information
involvement into thedelivery of a junior level course to improve student motivation and satisfaction was a new ideathat has not been thoroughly studied in the literature.ImplementationEngineering Economy CourseThe engineering economy course is a 15 week long industrial engineering course at Penn StateUniversity Park. During the Fall 2013 semester at Penn State University Park, the course mettwice per week for 75 minutes each period. The course enrollment was 92 junior and seniorlevel industrial engineering students. The detailed breakdown of the course topics covered inthis course is shown in the appendix in Table A.1.Course DesignThe primary mode of instruction in the course lecture was PowerPoint presentations given by theinstructor using a tablet
protect the health, safety, and welfare of the public. This mission is supported through its member boards, board of directors, staff, board administrators, and volunteers by: • Providing outstanding nationally normed examinations for engineers and surveyors • Providing uniform model laws and model rules for adoption by the member boards • Promoting professional ethics among all engineers and surveyors • Coordinating with domestic and international organizations to advance licensure of all engineers and surveyors Figure 1. NCEES Vision and Mission [NCEES, 2012]II. The Process of Developing Professional TopicsThe NCEES process of re-evaluating
project we exploreengineering students’ willingness and interest in using electronic flashcards.For each class, the resulting flashcards were embedded in the class’s Blackboard page. Studentscould choose to review the cards in a variety of formats and from different devices. Figure 1 is ascreenshot of two electronic flashcards. The top card displays the term and its definition at thesame time (for initial study). The lower card is showing just one side, allowing the students totest themselves. After answering the question, the student can electronically “flip” to the see thecorrect answer. The card sets from each chapter can be combined and shuffled. The material canbe presented in a random matching exercise as well. The electronic flashcards
’ questions) andteaching tips and skills.Comparison with Approaches of Mentoring in Current ProgramsComparison of current teaching mentoring practices and our mentoring model is provided inTable 1. Many universities provide TA workshops for graduate students to learn basic teachingtechniques. This provides an opportunity for graduate students to learn how to teach and the TAworkshop help to cultivate their teaching philosophy. However, little hands-on opportunity isgiven to let graduate students practice what they learn from the workshop. Many preparing futurefaculty programs (PFF) share the same limitation. While PFF focuses on developing doctoralstudent’s teaching philosophy and prepare them for a teaching career in academia, few in
engineering while learning basic theory.IntroductionThe heart of engineering practice is design. Thus (ideally), engineering design should beomnipresent in the engineering curriculum, including basic theory courses. This paper discussesstrategies for incorporating a design presence in applied probability courses. The content of thesecourses is basic probability, reliability models, Markov chains, the Poisson process, and queuingmodels. In a previous paper1, it was proposed that engineering design activity be incorporatedthrough 1. homework and test problems that emphasize parametric analysis, variations of standard models, and comparison of alternative systems; 2. loosely stated open-ended problems intended to allow creative response
AC 2012-3189: GOT RISK? THE ROLE OF RISK ANALYSIS IN HIGHSCHOOL EDUCATIONMs. Eva Andrijcic, University of Virginia Eva Andrijcic is a third-year Ph.D. student at the Department of Systems and Information Engineering at the University of Virginia. Page 25.675.1 c American Society for Engineering Education, 2012 Got Risk? The Role of Risk Analysis in High School Education 1. IntroductionThe purpose of this paper is to focus on an important aspect of systems engineering, namely riskassessment and management, and to present a case study of a class in which high school studentswere
. Universities must continue to take an active role tostrengthen and grow these partnerships which provide benefits to all involved. Thispaper will focus on models established at a medium size Master’s I Institution. GannonUniversity has established programs in collaboration with local industry that have provento achieve the following objectives: (1) to establish an academia-industry collaborativegraduate program and a Graduate Research Program (GRP), (2) to demonstrate theeffectiveness of programs as a strategy to build up a talent pool of engineeringprofessionals, and (3) to extend the pipeline for engineering professionals who enterexisting leadership programs at local industries.This paper presents general models by which universities approach these
instructor-directed environments. While generalized results, these findingsencouraged the Instructor’s hybrid/buffet approach to the course.In order to offer students a buffet of learning resources, a variety of course components wereutilized. The course components were categorized as: 1. Online Resources a. Instructor-Created Modules, consisting of Introduction videos with learning objectives, Lessons in both PowerPoint™ and video form, and Example problem videos. b. WileyPLUS3, the online learning environment associated with Principles of Engineering Economic Analysis 5e by White, Case and Pratt4, consisting of a digital copy of the text as well as Reading and graded Practice
. These environments are generally automated, complex systems withcomponents such as conveyors, computer-numerically controlled (CNC) machine workstations,automated guided vehicles (AGVs), and robots. Industrial automation can be classified into threeclasses: (1) fixed automation, (2) programmable automation, and (3) flexible automation. Withfixed automation, specially designed equipment is utilized to produce a single product only.Programmable automation uses equipment to make batches of products at a time. Once a singlebatch is finished, the equipment can be reprogrammed to make another batch of products. Onthe other hand, flexible automation allows for the manufacture of different parts to be made atthe same time within the same manufacturing
done, mostly by teams composed of electrical and mechanicalengineering students.One of the co-authors from a collaborating mainland university previously developed modularcourse content of this type. This systems engineering based multi-disciplinary course, depictedin Figure 1, incorporates best practices in content and structure.1,2 It had not been tested inwidespread implementation previously. The course was designed to be modular so that relevantmodules could be selected, allowing programs to adapt the content to their course requirements.This flexibility accommodates the different course durations, project team sizes, and engineeringdisciplines. The course includes detailed instructional material for each project step shown in thefigure
thismaterial can be covered in a large-class setting, including how it can be examined. Our datasuggests that spreadsheets must be incorporated into quizzes and or examinations in order toassess student abilities in these areas. Thus, while our teaching has evolved to includespreadsheets, so must our examination procedures.IntroductionCapital investments require analyses by engineers with tools and insight into whether theinvestment is sound. The field of engineering economy provides these tools. In order to make asound decision, a three-phase approach to evaluate the risk of a project is necessary: 1. Identify the risk, or risks, of an investment project. 2. Analyze the identified risk(s) of the project. 3. Assess how the identified risks
experienced a dramaticdifference from receiving appropriate instructional design and development support. Table 1summarizes the path of transformation reflected on the instructor’s perspectives. It highlights 10key features which demonstrate significant difference that the instructor perceived during the Page 25.787.2transformation. Key Features Before Receiving After Working with Instructional Support Instructional Designer 1 Course layout Unit based (6 units) Weekly topic based (15 main
are shown below b in Tabble 1, reprodduced from thhe Bureau oofLabor Staatistics.Table 1 Page 25.800.5 urse schedulling softwaree, MS Projecct is used to expose the cclass to project managemIn the cou mentmethods such as Gan ntt Charts an nd Critical Paath Method ((CPM). Thee “Commerccial ConstrucctionProject Plan” P is a tem mplate availaable on the website w that iincludes the sequenced aactivities
approach that integrates project management methods andtools with Lean-Six Sigma methods. An additional objective of this research is to develop abetter understanding of the unique aspects of the engineering problem solving process. Weassessed the student’s problem solving strategies, products, and design process reflections usingWolcott’s “Steps for Better Thinking” rubric 1.IntroductionCapstone courses give students the opportunity to solve large, unstructured problems in aclassroom setting. These team-based projects mimic the industrial setting that most students willenter upon graduation. Throughout the capstone experience students find themselves faced withcomplexities not found in a traditional course, especially when the projects are