Integrating the Case Method and Design Projects in the Industry-Sponsored Academic Education

2014 ◽  
Author(s):  
Manuel A. Nunez ◽  
Zbigniew M. Bzymek
Keyword(s):  
Operations Management ◽  
Process Analysis ◽  
Real Life ◽  
Companion Paper ◽  
Case Method ◽  
Academic Education ◽  
Manufacturing Companies ◽  
Life Problems ◽  
Management Concepts ◽  
Design Projects

This is a companion paper to IMECE 2013 - 63278. The paper describes a course in which practical designing of industrial products and processes is supported by the analysis of operations management cases taken from actual manufacturing companies. Through the case method, students assume the role of decision-makers who have to use their engineering and business knowledge to deal with real-life problems. Such an approach helps to support and complement the students’ senior design experience and cover those subjects left out from their sponsored design projects. The cases emphasize operations management concepts; economic analysis of manufacturing processes; process analysis, design, and improvement; integration of experimental analysis and research methodologies in diverse manufacturing industries; as well as the interaction between manufacturing technologies and the competitive strategy of the firm. This way, students not only practice solving manufacturing problems, but also develop a framework for dealing with practical situations they are likely to face in their career development. We provide teaching recommendations and practical examples of the case method in this context.

The Psychologist in the Medical School: An Example of Solving Real-Life Problems

1970 ◽  
Author(s):  
Matisyohu Weisenberg ◽  
Carl Eisdorfer ◽  
C. Richard Fletcher ◽  
Murray Wexler
Keyword(s):  
Medical School ◽  
Real Life ◽  
Life Problems

Implementing Operations Management in Manufacturing Companies

2016 ◽  
Author(s):  
Ernest Ansah ◽  
Thomas Akrofi ◽  
Emmanuel Harrison Nuertey
Keyword(s):  
Operations Management ◽  
Manufacturing Companies

Logistics Costs Behavior and Management in the Auto Industry

2015 ◽  
Vol 31 (4) ◽  
pp. 389-408 ◽  
Author(s):  
Marcela M. Porporato
Keyword(s):  
Real Life ◽  
Systems Design ◽  
Management Control ◽  
Data Availability ◽  
Manufacturing Companies ◽  
Bottom Line ◽  
Related Data ◽  
Profitability Analysis ◽  
Confidentiality Agreement ◽  
Cost Behavior

ABSTRACT This case, based on a real-life situation of how logistics costs function in daily operations, aims to provide students with the opportunity to understand how logistics costs are calculated and how the inter-organizational nature of these costs affects the profitability of two companies. The case hinges on understanding cost behavior (fixed and variable) and on management control systems design. Although logistics costs represent a small fraction of total costs in manufacturing companies, they can negatively affect the bottom line if left unattended. Students are presented with data relating to a three-year project in the automotive industry that shows that the project has been experiencing a sustained increase in costs that has eroded its profit margin. While it appears that logistics costs are the problem, it cannot be verified until the contracts are studied. In addition, the financial- and contract-related data provided are sufficient to extend the profitability analysis to the provider of logistics services. This case is suitable for management accounting courses at the master's or advanced undergraduate level; it has been tested and well received by students who want to gain a greater understanding of logistics costs—their nature, behavior, possible containment strategies, and inter-organizational effects. Data Availability: Some of the data are from public sources, but the logistics contracts and cost schedules are private; the confidentiality agreement with the two companies requires masking certain details and modifying the numeric data.

scholarly journals AnANN Model Trained on Regional Data in the Prediction of Particular Weather Conditions

2021 ◽  
Vol 11 (11) ◽  
pp. 4757
Author(s):  
Aleksandra Bączkiewicz ◽  
Jarosław Wątróbski ◽  
Wojciech Sałabun ◽  
Joanna Kołodziejczyk
Keyword(s):  
Atmospheric Pressure ◽  
Real Life ◽  
Real Data ◽  
Weather Conditions ◽  
Maximum Temperature ◽  
Air Masses ◽  
Weather Forecasts ◽  
Life Problems ◽  
The World ◽  
The City

Artificial Neural Networks (ANNs) have proven to be a powerful tool for solving a wide variety of real-life problems. The possibility of using them for forecasting phenomena occurring in nature, especially weather indicators, has been widely discussed. However, the various areas of the world differ in terms of their difficulty and ability in preparing accurate weather forecasts. Poland lies in a zone with a moderate transition climate, which is characterized by seasonality and the inflow of many types of air masses from different directions, which, combined with the compound terrain, causes climate variability and makes it difficult to accurately predict the weather. For this reason, it is necessary to adapt the model to the prediction of weather conditions and verify its effectiveness on real data. The principal aim of this study is to present the use of a regressive model based on a unidirectional multilayer neural network, also called a Multilayer Perceptron (MLP), to predict selected weather indicators for the city of Szczecin in Poland. The forecast of the model we implemented was effective in determining the daily parameters at 96% compliance with the actual measurements for the prediction of the minimum and maximum temperature for the next day and 83.27% for the prediction of atmospheric pressure.

scholarly journals Formulating Modes of Cooperative Leaning for Education for Sustainable Development

2021 ◽  
Vol 13 (6) ◽  
pp. 3465
Author(s):  
Jordi Colomer ◽  
Dolors Cañabate ◽  
Brigita Stanikūnienė ◽  
Remigijus Bubnys
Keyword(s):  
Sustainable Development ◽  
Real Life ◽  
Education For Sustainable Development ◽  
Professional Life ◽  
Global Challenges ◽  
Life Problems ◽  
The Face ◽  
Contemporary Education ◽  
The Impact

In the face of today’s global challenges, the practice and theory of contemporary education inevitably focuses on developing the competences that help individuals to find meaningfulness in their societal and professional life, to understand the impact of local actions on global processes and to enable them to solve real-life problems [...]

scholarly journals Disaster Day: A Simulation-Based Disaster Medicine Curriculum for Novice Learners

2021 ◽  
Vol 8 ◽  
pp. 238212052110207
Author(s):  
Brad D Gable ◽  
Asit Misra ◽  
Devin M Doos ◽  
Patrick G Hughes ◽  
Lisa M Clayton ◽  
...  
Keyword(s):  
Medical Students ◽  
Disaster Management ◽  
Disaster Preparedness ◽  
Real Life ◽  
Mass Casualty ◽  
Disaster Medicine ◽  
Incident Command ◽  
Management Concepts ◽  
Simulation Based ◽  
Second Year

Background: Mass casualty and multi-victim incidents have increased in recent years due to a number of factors including natural disasters and terrorism. The Association of American Medical Colleges (AAMC) recommends that medical students be trained in disaster preparedness and response. However, a majority of United States medical students are not provided such education. Objective: The goal of this study was to evaluate the effectiveness of a 1 day, immersive, simulation-based Disaster Day curriculum. Settings and Design: Learners were first and second year medical students from a single institution. Materials and Methods: Our education provided learners with information on disaster management, allowed for application of this knowledge with hands-on skill stations, and culminated in near full-scale simulation where learners could evaluate the knowledge and skills they had acquired. Statistical analysis used: To study the effectiveness of our Disaster Day curriculum, we conducted a single-group pretest-posttest and paired analysis of self-reported confidence data. Results: A total of 40 first and second year medical students participated in Disaster Day as learners. Learners strongly agreed that this course provided new information or provided clarity on previous training, and they intended to use what they learned, 97.6% and 88.4%, respectively. Conclusions: Medical students’ self-reported confidence of key disaster management concepts including victim triage, tourniquet application, and incident command improved after a simulation-based disaster curriculum. This Disaster Day curriculum provides students the ability to apply concepts learned in the classroom and better understand the real-life difficulties experienced in a resource limited environment.

scholarly journals Derivative-Free King’s Scheme for Multiple Zeros of Nonlinear Functions

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1242
Author(s):  
Ramandeep Behl ◽  
Sonia Bhalla ◽  
Eulalia Martínez ◽  
Majed Aali Alsulami
Keyword(s):  
Iterative Methods ◽  
Fourth Order ◽  
Order Of Convergence ◽  
Real Life ◽  
Multiple Roots ◽  
Computational Results ◽  
Nonlinear Functions ◽  
First Order ◽  
Life Problems ◽  
Derivative Free

There is no doubt that the fourth-order King’s family is one of the important ones among its counterparts. However, it has two major problems: the first one is the calculation of the first-order derivative; secondly, it has a linear order of convergence in the case of multiple roots. In order to improve these complications, we suggested a new King’s family of iterative methods. The main features of our scheme are the optimal convergence order, being free from derivatives, and working for multiple roots (m≥2). In addition, we proposed a main theorem that illustrated the fourth order of convergence. It also satisfied the optimal Kung–Traub conjecture of iterative methods without memory. We compared our scheme with the latest iterative methods of the same order of convergence on several real-life problems. In accordance with the computational results, we concluded that our method showed superior behavior compared to the existing methods.

scholarly journals ACO with Intuitionistic Fuzzy Pheromone Updating Applied on Multiple-Constraint Knapsack Problem

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1456
Author(s):  
Stefka Fidanova ◽  
Krassimir Todorov Atanassov
Keyword(s):  
Decision Making ◽  
Knapsack Problem ◽  
Propositional Logic ◽  
Optimization Problems ◽  
Real Life ◽  
Combinatorial Optimization Problems ◽  
Intuitionistic Fuzzy ◽  
Life Problems ◽  
Multiple Constraint

Some of industrial and real life problems are difficult to be solved by traditional methods, because they need exponential number of calculations. As an example, we can mention decision-making problems. They can be defined as optimization problems. Ant Colony Optimization (ACO) is between the best methods, that solves combinatorial optimization problems. The method mimics behavior of the ants in the nature, when they look for a food. One of the algorithm parameters is called pheromone, and it is updated every iteration according quality of the achieved solutions. The intuitionistic fuzzy (propositional) logic was introduced as an extension of Zadeh’s fuzzy logic. In it, each proposition is estimated by two values: degree of validity and degree of non-validity. In this paper, we propose two variants of intuitionistic fuzzy pheromone updating. We apply our ideas on Multiple-Constraint Knapsack Problem (MKP) and compare achieved results with traditional ACO.

scholarly journals Calculators as Facilitators of Understanding Computational and Mathematical Contexts

2019 ◽  
Vol 1 (1) ◽  
pp. 177-183
Author(s):  
Jan Guncaga ◽  
Lilla Korenova ◽  
Jozef Hvorecky
Keyword(s):  
Soft Skills ◽  
Real Life ◽  
Theoretical Background ◽  
Learning Processes ◽  
Complex Phenomenon ◽  
Learning To Learn ◽  
Life Problems ◽  
The Subject ◽  
The Relationship

AbstractLearning is a complex phenomenon. Contemporary theories of education underline active participation of learners in their learning processes. One of the key arguments supporting this approach is the learner’s simultaneous and unconscious development of their ability of “learning to learn”. This ability belongs to the soft skills highly valued by employers today.For Mathematics Education, it means that teachers have to go beyond making calculations and memorizing formulas. We have to teach the subject in its social context. When the students start understanding the relationship between real-life problems and the role of numbers and formulas for their solutions, their learning becomes a part of their tacit knowledge. Below we explain the theoretical background of our approach and provide examples of such activities.

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