Simulation Technique for Queuing Theory: A case Study

2015 ◽  
Vol 2 (8) ◽  
pp. 388-396
Keyword(s):  
Queuing Theory ◽  
Simulation Technique

scholarly journals Optimization number of car rental to fulfil the demand using simulation technique: A case study of ABC Car Rental Company

2021 ◽  
Vol 1988 (1) ◽  
pp. 012061
Author(s):  
Ruzanita Mat Rani ◽  
Norbaizura Kamarudin ◽  
Nur Atasya Azmi ◽  
Nursafirahanis Ibrahim ◽  
Nur Ardani Aminah Mansur
Keyword(s):  
Simulation Technique ◽  
Car Rental

Application of Queuing Theory to a Toll Plaza-A Case Study

2019 ◽  
pp. 343-354
Author(s):  
Naveen Malipatil ◽  
Soumya Iswar Avati ◽  
Hosahally Nanjegowda Vinay ◽  
S. Sunil
Keyword(s):  
Queuing Theory ◽  
Toll Plaza

Discourse over a contested technology on Twitter: A case study of hydraulic fracturing

2016 ◽  
Vol 26 (1) ◽  
pp. 105-120 ◽  
Author(s):  
Jill E. Hopke ◽  
Molly Simis
Keyword(s):  
Social Media ◽  
Hydraulic Fracturing ◽  
High Volume ◽  
Simulation Technique ◽  
Social Media Platform ◽  
The Social ◽  
Media Platform ◽  
Drilling Simulation ◽  
Activist Organizations

High-volume hydraulic fracturing, a drilling simulation technique commonly referred to as “fracking,” is a contested technology. In this article, we explore discourse over hydraulic fracturing and the shale industry on the social media platform Twitter during a period of heightened public contention regarding the application of the technology. We study the relative prominence of negative messaging about shale development in relation to pro-shale messaging on Twitter across five hashtags (#fracking, #globalfrackdown, #natgas, #shale, and #shalegas). We analyze the top actors tweeting using the #fracking hashtag and receiving @mentions with the hashtag. Results show statistically significant differences in the sentiment about hydraulic fracturing and shale development across the five hashtags. In addition, results show that the discourse on the main contested hashtag #fracking is dominated by activists, both individual activists and organizations. The highest proportion of tweeters, those posting messages using the hashtag #fracking, were individual activists, while the highest proportion of @mention references went to activist organizations.

scholarly journals Computational Simulation Model of Milk Production Process, Case Study: Dairy Plant FCP-ESPOCH

2018 ◽  
Vol 1 (2) ◽  
pp. 179
Author(s):  
Iván Menes Camejo ◽  
Gladys Lorena Aguirre Sailema ◽  
Katherine Maribel Gallegos Carrillo ◽  
Jorge Ariel Menéndez Verdecia
Keyword(s):  
Computational Model ◽  
Simulation Model ◽  
Production Process ◽  
Milk Production ◽  
Queuing Theory ◽  
Computational Simulation ◽  
Production Environments ◽  
Dairy Plant ◽  
Future Experimentation

Abstract. Computational simulation is a powerful tool that allows the experimentation of variants in production environments, which made on real scenarios, would entail heavy costs for the company. For this, it is necessary to correctly define the model that represents the actual processes involved. This paper presents the development of a computational simulation model, developed with "Siman" programming language and "Arena" software, based on queuing theory for the processes of milk production process in the Dairy Plant FCP-ESPOCH. We sought to determine the efficiency of the computational model using the scientific method, techniques of descriptive statistics and hypothesis demonstration. The results indicate that the data of the model are similar to the real ones in the processes of Daily Crude Milk Reception and Production Daily Pasteurized Milk, concluding that the computational model is valid for future experimentation.

Introduce Self-Paced Learning in Military Technical Trades Training

2018 ◽  
Vol 9 (4) ◽  
pp. 23-32 ◽  
Author(s):  
Jun Wang ◽  
Richard Egudo
Keyword(s):  
Queuing Theory ◽  
Lessons Learned ◽  
Learning Needs ◽  
Enabling Factors ◽  
Flow Process ◽  
Lean Thinking ◽  
Course Structure ◽  
Diverse Learning ◽  
Group Interviewing

Using a case study, this article identifies the factors that are important in the effective implementation of mixing self-paced and lock-step learning (a specific type of blended learning (BL)) in the context of training military technicians. Due to budget and time constraints, the training authorities in most worldwide organisations, and in military organisations in particular, face a challenge in the increase of training demand to deliver and sustain a qualified workforce. This study explored the advantages of this type of BL to address the challenge. The data was collected by group interviewing stakeholders, i.e. the course managers and instructors. The interview workshops identified the features of the designed course structure and trainee flow process that would impact on the effective operation of BL learning. The trainees' data in training hours was analyzed to examine the BL impact on the training throughput. The management science concepts from, e.g. Lean thinking and Queuing theory, are used to recognize enabling factors that make this implementation work. This article concludes that the BL discussed here can help to address the training challenge for organisations to build workforce capability by catering to diverse learning needs, especially for motivated trainees in their career education. It is hoped that the lessons learned from this study will contribute to the knowledge in the field of adult education and workplace learning in the designing and implementation of more flexible training programs.

Application of lean thinking to improve the productivity of water and sewer service installations

2008 ◽  
Vol 35 (4) ◽  
pp. 418-430 ◽  
Author(s):  
Dale Kung ◽  
Dinu Philip Alex ◽  
Mohamed Al-Hussein ◽  
Siri Fernando
Keyword(s):  
Queuing Theory ◽  
Construction Projects ◽  
Metropolitan Areas ◽  
Essential Element ◽  
Theory Model ◽  
Future Research ◽  
Lean Thinking ◽  
Increase Productivity ◽  
Productivity Potential

The installation of water and sewer services is an essential element of many construction projects. With an increasing number of construction projects being undertaken in metropolitan areas, delays are no longer affordable. To increase productivity in this type of construction project, workflow must be improved. This paper describes the application of lean thinking principles to improve the productivity of water and sewer service installations. To illustrate this, a case study is presented that applies these principles to water and sewer service installations performed by City of Edmonton construction crews. As well, this paper outlines a study that applies the lean thinking procedures recommended within a queuing theory model to validate the effect of the proposed improvements to productivity. Potential improvements to overall productivity will be discussed along with proposed future research.

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