was new to high school students.We first instructed the students in Boolean algebra, logic circuits, delays, and timers, and thenintroduced ladder logic for real time process control using a PLC. The ladder logic circuits werefirst tested on a simulation software before downloading to a PLC.The first task was to develop a garage door control system, using five inputs and five outputs.The five inputs were: 1) a normally closed limit switch to sense if the door is closed, 2) anormally closed limit switch to sense if door is fully open, 3) a push button to open the garagedoor, 4) a push button to close the garage door, and 5) a push button to stop the garage door if itis moving. The five outputs were: 1) a red light to show the garage door is
is a technology that is concerned with the use of mechanical, electronic, andcomputer-based systems in operation and control of production2. Large, complex systems withcomponents such as conveyors, computer-numerically controlled (CNC) machine workstations,automated guided vehicles (AGVs), and robots make up an automated system. Industrialautomation can be classified in to three classes: (1) fixed automation, (2) programmableautomation, and (3) flexible automation. With fixed automation, specially designed equipment isutilized to produce a single product only. Programmable automation uses equipment to makebatches of products at a time. Once a single batch is finished, the equipment can bereprogrammed to make another batch of products. On the
the test itself. The Industrial and Manufacturing Engineering Department at CaliforniaPolytechnic State University, San Luis Obispo has used a content exam for several years. Thispaper will discuss test development, administration, and the role it plays in the assessmentprocess. In addition, the test is evaluated using the standard psychometric techniques ofreliability and validity. The results of the evaluation are used to refine the test. The importance ofthe evaluation of these types of instruments cannot be overstated as they often are used to guidecurricular or other program improvements efforts.INTRODUCTIONThe Accrediting Board for Engineering and Technology (ABET) 1 encourages programs to usedirect measures of performance when
, Page 15.1100.2and 2 who did not disclose. The rate of female students is higher than the typical make-up of ourstudent body. The students were asked about six methods of managing homework. These arelisted in Table 1.Method Description of the MethodHand Marked The professor hand marks the papers and returns them in person or via faxEmail Comments The professor emails comments to the student concerning the work, but the comments are not directly on the workPDF The professor marks the homework, converts it into a PDF and emails it to the student, a tablet device was used with this methodGeneral Solution The
Page 15.897.3have had freshman level calculus and physics, but no prior experience with statics concepts.The Multimodal labA multimodal learning interface “Cantilever Model” was developed within the Visual C++environment with a visualization interface and a haptic device PHANTOM Desktop. The hapticdevice has six degrees of freedom which allow users to feel high fidelity haptic force-feedback(see Figure 1). The interface is designed around the concept of beam problem, which is one ofthe statics problems that are simple yet powerful to showcase important statics concepts. Figure 1. A Student Interacts with a PHANTOM Desktop Haptic Device in The LabThe multimodal lab was based on a 2D graphic user interface which presented the beam problem
undergraduate students in industrialengineering. Despite the completion of six credit hours in probability and statistics,undergraduate students continue to have difficulty translating that information to industrialengineering applications in quality control, stochastic models, and work measurements.Historical data using the probability and statistics concepts inventory (Figure 1 below) indicatesthat, for most students, true conceptual understanding of probability basics remains elusive. Thisproblem may be exacerbated somewhat due to a disconnect between the theory covered in themathematics department and the applications needed in the industrial engineering program. Inthis paper we discuss some of the initial inroads towards improving conceptual
. Faculty at all five universities use the simulation as described above,in three rounds, with each round addressing approximately the same issues. The implementa-tions differ broadly however, in the amount of inquiry that students are engaged in as theygenerate improvements. At Universities 1 and 2, the simulation is the foundation for thelaboratory portion of the course, and is used to provide opportunities for experimentation. AtUniversities 3, 4, and 5, the simulation is played in a more standardized and directed way; whilestudents generate improvement ideas they are guided to particular ideas and ways to implementthem before the next round is played. To a significant degree, the amount of inquiry is drivenby the time dedicated to the
should give serious consideration to the ease of product assembly or subassembly.In order to teach our MET students to communicate with design engineers effectively andefficiently, Boothroyd Dewhurst’s DFA methodology was introduced to accelerate ideas andexchange and generate alternative solutions. By using the DFA method, the students learned howto: (1) collect basic assembly information, (2) estimate part handling and insertion time, (3)calculate assembly efficiency, (4) identify assembly difficulties, and (5) generate alternativesolutions. This paper proposes a structured problem-solving approach called DMAIC to developa DFA learning model. The goals of this model are to: 1. Provide the students a clearly defined procedure for evaluating
collaborative research study that was conducted as aservice learning project by faculty and students at USI. It begins with adescription of the study approach. This is followed by an overview of aconceptual transportation network that was developed by a team of engineeringstudents. The paper concludes with a discussion of the educational value of this Page 15.88.3project, conclusions and future work.ApproachThe METS efficiency study consisted of several components, including: (1) ananalysis of current communication and marketing efforts, (2) a rider satisfactionsurvey and collection ridership utilization data, and empirical observations, (3) acommunity survey, (4
. An excellent source ofreal life examples can be found at the Winter Simulation Conference1. The papers presented overthe past 10 years of the Winter Simulation Conference were analyzed for such examples to beused in courses such as Systems Modeling or Modeling and Simulation Languages.In addition, the projects described in each paper were analyzed for characteristics that would beuseful for use as potential student projects. These projects could also be used as the basis forengineering and technology students to become involved in health care DES research.One of the first characteristics analyzed was the ranking of the DES software products beingused. Figure 1 shows that across all sectors, business, healthcare, and government, Arena
implicationsof defining “systems engineering.” Some of the questions we address here are as follows.What are the real-world problems that systems engineering claims to study, what are theprincipal methods of systems engineering and how different are they from those ofindustrial engineering, and what is and should be taught in programs in systemsengineering? What can students expect to learn and what jobs can they obtain aftercompleting their studies?IntroductionWith two recent actions, the industrial engineering community seems to haverelinquished any exclusive claim on the use of the phrase “systems engineering.” Thoseactions are (1) the vote by IIE membership to reject a proposal to add “systems” to itsname and (2) the determination that ABET’s new
addressed the content and structure of the introductory course taken (delivery Page 15.697.3method, credit hours, class size, instructor, grade assignment, topics covered) as well as whenstudents took the course and what grade they received. The course evaluation section addressedstudents’ likes, dislikes, and overall satisfaction with the introductory course that they took. Thecareer efficacy section addressed students’ perceptions of their ability to succeed in industrialengineering. Career efficacy questions are shown in Table 1 and course satisfaction questionsare shown in Table 2. Each question was formatted using a 5-point Likert scale, with
Academy of Engineeringunveiled The Grand Challenges for Engineering in a public statement on February 15, 20081 andsustainability was noted as one of four broad realms of human concern. Six (out of 14) of theengineering challenges are related to environmental sustainability: (1) Make solar energyeconomical, (2) Provide energy from fusion, (3) Develop carbon sequestration methods, (4)Manage the nitrogen cycle, (5) Provide access to clean water, and (6) Restore and improve urbaninfrastructure.Industrial Engineers (IEs) are in a unique position to play a key role in the effort to bringsustainability concepts to the mainstream of engineering education. Their historical figures andinitiatives are aligned with the current need for sustainable products