Wait-time-waste improvement opportunities and ‘smart manufacturing’ in legacy 200mm fabs

Author(s):  
Jan Driessen ◽  
Rene Sjardijn ◽  
Frank van Heukelom ◽  
Corstian van Roest ◽  
Martijn Mom
2019 ◽  
Vol 7 (3) ◽  
pp. 115-134
Author(s):  
Muhammad Ahmad ◽  
Aleem Shakir ◽  
Ali Raza Siddique

Abstract This study aimed to investigate the amount and type of teacher-talk, frequently asked questions and feedback provided by the teacher on learners’ performance in a language classroom. For this purpose, a lecture was recorded from a secondary level English language classroom of a public sector school and interpreted in the light of teacher-student interaction and classroom management model by David Nunan. Results revealed that the maximum amount of time (i.e. 80.1%) was consumed by the teacher which was appropriate. However, certain deviations from classroom management principles were also observed regarding frequently asked questions (i.e. 50% of the total questions were elicitation questions) and the feedback (it was ‘romantic’ in nature). Moreover, wait-time was sufficient but it was of no use to the learners. The study concluded that classroom practices did not conform to the principles therefore, it proposed to ask questions and provide feedback appropriately.


2020 ◽  
Author(s):  
Saif Khairat ◽  
Malvika Pillai ◽  
Barbara Edson ◽  
Robert Gianforcaro

BACKGROUND Importance: Positive patient experiences are associated with illness recovery and adherence to medication. The shift toward virtual visits creates a need to understand the opportunities and challenges in providing a patient experience that is at least as positive as in-person visits. OBJECTIVE To evaluate the virtual care experience for patients with Covid-19 as their chief complaints. METHODS We conducted a cross-sectional study of the first cohort of patients with Covid-19 concerns in a virtual clinic. We collected data on all virtual visits between March 20-29, 2020. Outcomes: The main endpoints of this study were patient diagnosis, prescriptions received, referrals, wait time and duration, and satisfaction. The secondary outcome was the reported choice of alternative care options. RESULTS Of the 358 total virtual visits, 42 patients marked “Covid-19 Concern” as their chief complaint. Of those patients, 23 (54.8%) female patients, the average age of patients was 33.9 years, and 41 (97.7%) patients were seeking care for themselves and one (3.3%) visit was for a dependent. For all virtual visits, the average wait time (SD) was 157.2 (181.7) minutes and the average wait time (SD) for Covid-19 Concern visits was 177.4 (186.5) minutes. Covid-19 Concern phone visits had an average wait time (SD) of 180.1 (187.2), compared to 63.4 (34.4) minutes for Covid-19 Concern video visits. Thirteen (65%) patients rated their provider as “Excellent” with similar proportions among phone (64.3%) and video (66.7%). CONCLUSIONS This study evaluated the virtual experiences of patients with Covid-19 concerns. There were different experiences for patients depending on their choice of communication. Long wait times were a major drawback in the patient experience. We have learned from evaluating the experience of our first cohort of Covid-19 Concern patients.


Author(s):  
Fei Tao ◽  
Yongping Zhang ◽  
Ying Cheng ◽  
Jiawei Ren ◽  
Dongxu Wang ◽  
...  

2021 ◽  
Vol 11 (3) ◽  
pp. 1312
Author(s):  
Ana Pamela Castro-Martin ◽  
Horacio Ahuett-Garza ◽  
Darío Guamán-Lozada ◽  
Maria F. Márquez-Alderete ◽  
Pedro D. Urbina Coronado ◽  
...  

Industry 4.0 (I4.0) is built upon the capabilities of Internet of Things technologies that facilitate the recollection and processing of data. Originally conceived to improve the performance of manufacturing facilities, the field of application for I4.0 has expanded to reach most industrial sectors. To make the best use of the capabilities of I4.0, machine architectures and design paradigms have had to evolve. This is particularly important as the development of certain advanced manufacturing technologies has been passed from large companies to their subsidiaries and suppliers from around the world. This work discusses how design methodologies, such as those based on functional analysis, can incorporate new functions to enhance the architecture of machines. In particular, the article discusses how connectivity facilitates the development of smart manufacturing capabilities through the incorporation of I4.0 principles and resources that in turn improve the computing capacity available to machine controls and edge devices. These concepts are applied to the development of an in-line metrology station for automotive components. The impact on the design of the machine, particularly on the conception of the control, is analyzed. The resulting machine architecture allows for measurement of critical features of all parts as they are processed at the manufacturing floor, a critical operation in smart factories. Finally, this article discusses how the I4.0 infrastructure can be used to collect and process data to obtain useful information about the process.


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