Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Eric Specking, University of Arkansas; Shengfan Zhang, University of Arkansas

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IND)

analytics related modules are incorporated intheir current teaching materials. Through the analysis, we seek to explore how high schooleducation in Arkansas is preparing students for next-generation workforce needs in analytics. Inaddition, we perform a descriptive statistics analysis of the learning modules created by theparticipating teachers through the AR-DATA program. We summarize the standards the teachershave used for their modules as well as the common ideas and topics of the learning modules.Through connecting the modules in different subject areas, we also analyze the possibilities ofcollaborative lesson plans that teachers in different fields can coordinate and teach together.Finally, we examine related topics in the post-secondary

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Bruce Wilcox, University of Southern California; Yufan Fei; Jihao LI, University of Southern California; Junqiang Wang; Junmeng Xu, University of Southern California

Tagged Divisions

Industrial Engineering Division (IND)

-term objective of the team is to complete the functionality to provideautograding of individualized datasets and test it with a beta test team consisting of studentvolunteers. Assuming successful completion of that testing, we plan to implement it “live” witha predictive analytics class in the fall semester of 2023 and then make it broadly available for useby other instructors.A major planned enhancement to the generation of individualized datasets involves expandingthe randomization beyond the residuals term to the randomization of the generative modelcoefficients.Also planned is expanded dataset functionality to include categorical response vectors,generalized linear models (primarily Poisson regression), and the incorporation of

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Arif Sirinterlikci, Robert Morris University; Khalid H. Tantawi, University of Tennessee at Chattanooga

Tagged Divisions

Industrial Engineering Division (IND)

problembeing addressed, a “Customer Discovery Interview Planning and Preparations Form” to getfeedback on the proposed idea by surveying potential customers, followed by “the Patent SearchAssignment Form” to investigate the patentability of the business idea. The students were alsotasked to reflect on their effort by completing a “Metacognitive Reflection Assignment” on threedistinct aspects: entrepreneurial mindset, bio-design, and art. Three groups were formed and threedesigns were selected by these groups, a climbing plant shaped decor that diffracts natural sunlight,an LED garden sign used in lighting a garden during nights to mark poison ivy spots, as well as aground stake with a climbing plant inspired mechanism aiding its anchoring function

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Bopaya Bidanda, University of Pittsburgh; Gajanan Hegde

Tagged Divisions

Industrial Engineering Division (IND)

solutions in global, economic, and societal contexts, d. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives, e. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions, and f. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.Note that all ABET student outcomes except 3.1 (https://www.abet.org/wp-content/uploads/2023/01/23-24-EAC-Criteria_FINAL.pdf ) can be assessed in the course. However, thisassessment was not done since

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Araceli Zavala, Tecnologico de Monterrey; Jonathan Cuevas-Ortuño, Tecnologico de Monterrey; J. Reyes Angulo Cedeño, Tecnologico de Monterrey ; Agustin Perez Araos, Tecnologico de Monterrey ; Marco Antonio de Luna

Tagged Divisions

Industrial Engineering Division (IND)

engage with other alternatives rather than close the door [22, 23]. The rich picture has been used in the Systemic Lean Intervention process, which helps identify operational issues effectively [24]. Figure 3 exemplifies a rich picture in which the main element is preventive maintenance. Figure 3: Kaizen i-Semester rich picture example for preventive maintenanceObjectives 4. Defining objectives and KPIs: Once the problem has been identified with its main causes, the Kaizen team establishes the project objective and the target of the KPI. Such a target is approved jointly with the team and the Kaizen Champion. The Deming Plan-Do-Check-Act (PDCA) cycle is applied to present the project improvements. For more

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Elif Akcali, University of Florida; Saron Getachew Belay; Elayne Colón, University of Florida; Jade Williams

Tagged Divisions

Industrial Engineering Division (IND)

on the developmentof the ability to identify the relevant problem parameters and evaluate the optimal order quantity,the associated average annual total cost, and perhaps the optimal inventory cycle length byapplying the associated formulas for the economic order quantity model. In contrast, conceptuallearning in this context focuses on the development of an understanding of the (i) meaning,implications, and limitations of the basic modeling assumptions of the economic order quantitymodel [e.g., known and constant continuous demand rate, infinite planning horizon, and knownand constant cost parameters] in a real-life problem context. While the former can be developedby problem-solving, the latter can be achieved by inviting the student to

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IND)

as an academic plan [21]. However, to assess student learning during theirundergraduate studies, we decided to incorporate the concept of quality as transformation.Using a transformation view to promote quality enhancement in our quality assurance modeldoes not only have the purpose of evaluating students’ advancement during their academictrajectory, but also of improving or boosting their advancement when necessary. What wepresent in this section is the students’ learning assessment element from our holistic qualityassurance model. For purposes of this paper, we will call the beforementioned evaluationsection as “learning outcomes enhancement cycle”.Quality as transformation. Harvey & Green explain that “the transformative view of

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Hugh L. McManus, Northeastern University; Erica Gralla

Tagged Divisions

Industrial Engineering Division (IND)

system is necessary. The authors have used several 6-hourtable-top simulations to teach process improvement and engineering courses at Northeastern,George Washington, and Loyola Marymount universities. The pandemic forced a naturalexperiment. On-line versions of the simulations were created in commercially available softwarewhich recreated the experience of the in-person simulations directly, with almost all actions,lessons, discussion and planning sessions preserved. More than 120 students participated in theon-line simulations in 2020 and 2021. Before and after the pandemic (and during it, in hybridclasses), a large “control” group of students participated in the in-person simulations. Extensivedata was collected including self-reported

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Maria A. Cannarozzo Tinoco, Universidade Federal Do Rio Grande Do Sul; Christine Tessele Nodari, Universidade Federal Do Rio Grande Do Sul; Luis Rabelo; Paula Kvitko de Moura, Federal University of Rio Grande do Sul; Arthur Marcon, Universidade Federal Do Rio Grande Do Sul; Angela de Moura Ferreira Danilevicz

Tagged Divisions

Industrial Engineering Division (IND)

operative units of the competencies. These learning outcomesexplicitly define what a student is expected to know, understand, demonstrate, or accomplishby the end of a learning period [11] - [14]. According to Williams [15], defining the learningoutcomes for an engineering undergraduate program is the critical first step in revising thecurriculum, developing courses, and creating an assessment plan. Learning outcomes can be used by faculty to assess students' learning progress throughoutthe program and should be defined for each competence. Evaluation rubrics have beenadopted to measure the various levels of competence development. Rubrics are valuable toolsin student assessment and help indicate students' learning level for the learning

Conference Session

Industrial Engineering Division (IND) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Arunkumar Pennathur, The University of Texas at El Paso; Priyadarshini Pennathur, University of Texas at El Paso; Emily Blosser, University of Louisiana Lafayette; Nicholas A Bowman, University of Iowa

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IND)

, colleges could better integrate other supportstructures such as friends or family into programs and activities they plan (4) Finally, one couldargue that the barriers themselves could be directly addressed to improve student experiences.While this is true and needed for sustaining systems improvements over the long term, utilizingcapacities and key enablers that already exists and works for the students might serve as a goodfirst step to ignite the process of systems-based improvements.The capabilities and deficiencies of the college in its goals, policies, processes, programs (thetechnical system), and how well the technical system in the college aligns with institutional goalsand environments directly impact the college’s success in recruiting

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ekaterina Koromyslova, South Dakota State University; Carrie Steinlicht, South Dakota State University; Miriam Kanini Peter

Tagged Divisions

Industrial Engineering Division (IND)

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Susan J. Ely, University of Southern Indiana

Tagged Divisions

Industrial Engineering Division (IND)

new procedures, plan for optimal methodologiesor pursue best practices. This was new territory for everyone.After the COVID-19 pandemic slowed, the hospital maintained the visual management systemsimplemented during this project to attempt to ensure a balance of room allocations even as roomassignments were more consistent with the 3-room assignment pre-COVID standards. TheCOVID suite of rooms was maintained, requiring the maintenance of the newly created supplyarea and restocking system by mid-shift nurses. As volumes decreased, charge nurses noted thevalue of training nurses of more efficient techniques to increase the speed of care for all patients.This not only assists with patient satisfaction but also helps to prepare for future times