scholarly journals New ways to evaluate learning. Assessing teamwork using TPM and a Poka-Yoke design

Author(s):  
Eva Maria Lopez-Perea ◽  
Miguel Angel Mariscal Saldaña ◽  
Susana García Herrero

In this paper we present a hands-on experiment for measuring learning through teamwork applied to solving a real problem. The experiment is part of the Production Systems course and involves designing a Poka-Yoke, but not theoretically, as is usually the case, rather an actual working mechanism. To this end, a practical problem is proposed for which a physical machine has to be designed to solve the problem. As part of the same exercise, a TPM is developed, also applied to a real case, such as assembling a bicycle. In the case of the Poka-Yoke, two simultaneous objectives are pursued: to avoid a defective product, and to maximize the production per unit time. The final score is assigned based on a measurement of these two parameters. Once the exercise is assigned, the teamwork is verified to be measured efficiently, even when the number of students is high. The physical design of the elements, as well as the simultaneous engagement by all the students in the exercise, served to considerably raise the motivation of the students.

Author(s):  
Deirdre E. Logan ◽  
Rachael M. Coakley ◽  
Brittany N. Barber Garcia

Cognitive-behavioural therapy (CBT) is the most commonly researched and empirically supported psychological treatment for the management of paediatric pain. CBT is a brief, goal-oriented psychotherapy treatment using a hands-on, practical problem-solving approach (Kendall, 2012). It is based on the concept that thoughts, feelings, and behaviours are causally interrelated. This chapter offers an overview of CBT and its application to pain management, describes specific cognitive-behavioural strategies commonly used for paediatric acute and chronic pain problems, presents the empirical evidence supporting these approaches, and highlights key considerations and emerging directions in the use of CBT and related treatments for paediatric pain.


Author(s):  
STEVE UHLIG

We present an application of multiple-objectives evolutionary optimisation to the problem of engineering the distribution of the interdomain traffic in the internet. We show that this practical problem requires such a heuristic due to the potentially conflicting nature of traffic-engineering objectives. Furthermore, having to work on the parameter's space (BGP routing) of the real problem makes such techniques as evolutionary optimisation very easy to use. We show the successful application of our algorithm to two practically relevant problems in interdomain traffic engineering.


Author(s):  
Scott Flemming

In recent years the CEAB has ben communicating to Engineering Faculties in Canada that “Engineering Design” is a key attribute that graduates should have when they finish their undergraduate degree. It hasalso been suggested that producing engineers with significant design skills is important for the Canadian economy as a whole and, in Dalhousie University’s context, Nova Scotia. Unfortunately “Design” is adifficult skill to teach or transfer; a recent article in Maclean’s suggests many engineering graduates around the country are leaving the university with an uneasy feeling that all they have been taught to dois “plug and chug.” How do we respond to this need? This paper offers a case study of how a third-year Industrial Engineering course shifted from a mainly book-and-formula based course to an offering which incorporated significant open-ended design content (25%) intended to both satisfy CEAB requirements and address the need for students to exercise their creative, hands-on problem-solving skills. Student project outcomes as well as anecdotal and SRI data suggest the shift to a design-focussedcourse was a success.


2017 ◽  
Vol 23 (1) ◽  
pp. 15-20
Author(s):  
Alexandru Baboș ◽  
Alina-Mihaela Baboș

Abstract The transport problem finds its application in situations where the upper echelons must draw up an optimal plan of resources allocation for combat capabilities on objectives. In order to achieve more reliable results for the real problem, the data needed to formulate the mathematical model are extracted from an order of operations. This paper presents the optimization of military action, showing how to solve a practical problem using the transportation problem.


Author(s):  
Taylor L Barnes ◽  
W Shawn Ramsey ◽  
Kathrin A Dunlap

Abstract Traditionally, earning a degree in animal science requires many face-to-face, hands-on courses, however, the Covid-19 pandemic created a situation in which traditional delivery of these courses may not be feasible as they provide a health risk to our students, teaching assistants (TAs), and instructors alike. This examination of two pedagogically different courses and how each was transitioned to an online format highlights the types of teaching decisions that are required to effectively teach animal science in an online format. The Farm Animal Production Systems lab was an animal handling and production practices lab, and while. the transition to online delivery did not allow for students to participate in traditional hands-on development of skills, various resources were utilized that still achieved development of animal handling concepts that will prepare students for later courses and work with live animals. In contrast, the Animal Science Laboratory Teaching Methods course remained consistent in format through the transition to online because students were still able to participate in discussion-based activities via Zoom meetings each week due to the small class size, which helped to maintain student engagement. However, the final teaching experience was modified to an alternative assignment. The alternate assignment included self-reflection and course evaluation that will help to improve both the Farm Animal Production Systems laboratory and the Animal Science Teaching Methods course in the future. While Covid-19 has been a challenge that disrupted traditional courses, it has provided opportunities for a traditionally hands-on discipline, such as animal science, to more effectively engage students via an online platform.


Author(s):  
Kristen Uhl ◽  
Laura A. Wright ◽  
Rachael M. Coakley ◽  
Deirdre E. Logan

Cognitive behavior therapy (CBT) is the most commonly researched and empirically supported psychotherapy treatment for the management of pediatric pain. CBT is a brief, goal-oriented psychotherapy treatment using a hands-on, practical problem-solving approach. It is based on the concept that thoughts, feelings, and behaviors are causally interrelated. This chapter offers an overview of CBT and its application to pain management, describes specific cognitive behavior strategies commonly used for pediatric acute and chronic pain problems, presents the empirical evidence supporting these approaches, and highlights key considerations and emerging directions in the use of CBT and related treatments for pediatric pain.


2019 ◽  
pp. 237929811987146
Author(s):  
Mary K. Foster

Design thinking—understanding the human needs related to a problem, reframing the problem in human-centric ways, creating many ideas in brainstorming sessions, and adopting a hands-on approach to prototyping and testing—offers a complementary approach to the rational problem-solving methods typically emphasized in business schools. Business school instructors may perceive design thinking, a relatively new and complex multistep, iterative process, to be beyond their capabilities or time/resource constraints. This experiential exercise provides a relatively easy, low-investment approach to incorporating an overview of design thinking into any course. With minimal instructor preparation, participants can have a positive experience using design thinking to solve a real problem, consuming as little as an hour of class time. This activity is suitable for undergraduate and graduate courses in any business discipline. The provided lesson plan, slides, and workbook make it easy to facilitate students’ experience of the design thinking process.


Author(s):  
Shabnam Rezapour ◽  
Janet K. Allen ◽  
Farrokh Mistree

Decentralized production systems in supply chains / networks makes them more profitable and agile than traditional enterprises with centralized production systems. However, this decentralization makes supply chains / networks more vulnerable respect to uncertainties which are unavoidable. Today’s supply chains / networks producing and supplying their products to markets are characterized by uncertain demands (called demand-side uncertainty) and uncertainties associated with the performances of their constituent production facilities (called supply-side uncertainty). Supply-side uncertainty is due to the fact that there is not any perfect production system. Sparse literature of supply-side uncertainty management in supply chains / networks is only restricted to supply chains / networks with single-echelon supply processes. However most of the real case supply chains / networks have longer production processes involving suppliers of suppliers, suppliers, component manufacturers, assemblers, etc. In this paper we fill this gap of the literature by considering a supply chain/network with multi-echelon supply process including unreliable production facilities working in markets with uncertain demands. We show that in such a complex production process in addition to investigating the local effects of the uncertainties in the performances of their corresponding facilities, it is necessary to consider their global and cumulative effect on the performance of the entire supply chain/networks by following the propagation of these uncertainties in the flow of the material and product. Not only we introduce and describe the salient features of uncertainty propagation phenomenon in supply chains/networks, but also we demonstrate its quantification approach. Finally we propose mathematical models and solution approaches that can provide robust production plans for the supply chain/network that are protected against all demand and supply side uncertainties and their propagated effects. Performances of the proposed models and solution approaches are tested with test problems and a real case problem from automotive industry.


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