Teaching Engineering Statistics with Simulation: A Classroom Experience

Romeu, Jorge Luis

doi:10.2307/2987799

Cited by 9 publications

(4 citation statements)

References 5 publications

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“…In Simio, the random number generation for part arrivals and manufacturing events are identical across different manufacturing scenarios. Therefore, Paired t-Test is used for comparing manufacturing performance between two manufacturing solutions (Romeu 1986;Walpole et al 1993). The comparison result is shown in Table 19.…”

Section: Case 1: Storage Box Productionmentioning

confidence: 99%

Sustainability Benefits Analysis of Cyber-Manufacturing Systems

Song

Moon

2020

Volume 2B: Advanced Manufacturing

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Cyber-Manufacturing System (CMS) is a vision for the factory of the future, where manufacturing processes and physical components are seamlessly integrated with computational processes to provide agile, adaptive, and scalable manufacturing services. Functional elements of CMS are digitized, registered, and shared with users and stakeholders through various computer networks and the Internet. CMS incorporates recent advances in the Internet of Things, Cloud Computing, Cyber-Physical System, Service-Oriented Technologies, Modeling and Simulation, Sensor Networks, Machine Learning, Data Analytics, and Advanced Manufacturing Processes. CMS possesses intelligence such as self-monitoring, self-adjustment, self-prediction, self-allocation, self-configuration, self-scalability, self-remediating, and self-reusing. Such intelligent capabilities enable CMS to contribute to manufacturing sustainability. However, prior studies are limited in addressing a narrow scope of CMS or in covering only a subset of sustainability dimensions. This paper addresses the research gap by developing a holistic CMS infrastructure and adopting a Distance-to-Target based sustainability assessment approach to measure the sustainability benefits of CMS. To illustrate how the infrastructure and metrics are used to analyze the sustainability benefits of CMS, an example case is presented. The results show that CMS can deliver substantial sustainability benefits through increased productivity, profitability & energy efficiencies, and reduction of working-in-process (WIP) inventory levels & logistics costs.

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Section: Case 1: Storage Box Productionmentioning

confidence: 99%

Sustainability Benefits Analysis of Cyber-Manufacturing Systems

Song

Moon

2020

Volume 2B: Advanced Manufacturing

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“…This author regularly teaches faculty development workshops [8][9][10][11] on applications of technology and modern pedagogical methods [12][13][14] in statistics, engineering and sciences. He teaches them in small provincial institutions of developing countries, where many of the above-mentioned infrastructure problems are ubiquitous.…”

Section: Workhop Content and Course Managementmentioning

confidence: 99%

Course Administration: The Often Neglected Component of Technology Infusion

Romeu¹

2002

Journal of Educational Technology Systems

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Technology infusion and new pedagogical methods create an extra load on the faculty that introduces them. However, course administration techniques, that enhance the instructor's working capabilities to cope with this extra load, are seldom provided. This sometimes leads to failures in faculty development efforts. In this article, we discuss real life experiences in teaching technology infusion and modern pedagogical methodology while also including course administration techniques. We present such experiences in Third World institutions where, due to economic and infrastructure limitations, tools such as Course Administration Software cannot be used. We instead substitute them with standard software tools, which are then integrated with modern pedagogical and technical principles, into our entire teaching approach. Examples and results are presented.

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“…Other techniques used to teach statistics involve using computer simulation. In a study entitled 3 "Teaching engineering statistics with simulation: a classroom experience", the course content alternated between a (simple) textbook example and one of five experiments. The main objective was to increase interest in and to develop appreciation for statistical methods in engineering students.…”

Section: Methods Used By Other Schoolsmentioning

confidence: 99%