Waiting time analysis and performance visualization in Carnival

1996 ◽  
Author(s):  
Wagner Meira ◽  
Thomas J. LeBlanc ◽  
Alexandros Poulos
Keyword(s):  
Waiting Time ◽  
Time Analysis ◽  
Performance Visualization ◽  
And Performance

Waiting Time Analysis at University Hospitals Based on Visitor Psychology

2020 ◽  
pp. 212-221
Author(s):  
Shigeyoshi Iizuka ◽  
Shozo Nishii ◽  
Eriko Tanimoto ◽  
Hiro Nakazawa ◽  
Asuka Kodaka ◽  
...  
Keyword(s):  
Waiting Time ◽  
Time Analysis ◽  
University Hospitals

Patient arrival pattern and waiting time analysis for a tertiary hospital radiology department

2019 ◽  
Vol 25 (3) ◽  
pp. 136-143
Author(s):  
Felicitas Ugochinyere Idigo ◽  
Kenneth Kalu Agwu ◽  
Obinna Emmanuel Onwujekwe ◽  
Mark Chukwudi Okeji ◽  
Angel-Mary Chukwunyelu Anakwue
Keyword(s):  
Waiting Time ◽  
Tertiary Hospital ◽  
Radiology Department ◽  
Time Analysis ◽  
Patient Arrival ◽  
Arrival Pattern

Enhancing patient flow in emergency department (ED) using lean strategies–an integrated voice of customer and voice of process perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Alowad ◽  
Premaratne Samaranayake ◽  
Kazi Ahsan ◽  
Hisham Alidrisi ◽  
Azharul Karim
Keyword(s):  
Waiting Time ◽  
Emergency Services ◽  
Single Case ◽  
Patient Flow ◽  
Waiting Times ◽  
Small Sample ◽  
Content Type ◽  
Lean Tools ◽  
And Performance ◽  
Voice Of Customer

PurposeThe purpose of this paper is to systematically investigate the patient flow and waiting time problems in hospital emergency departments (EDs) from an integrated voice of customer (VOC) and voice of process (VOP) perspective and to propose a new lean framework for ED process.Design/methodology/approachA survey was conducted to better understand patients' perceptions of ED services, lean tools such as process mapping and A3 problem-solving sheets were used to identify hidden process wastes and root-cause analysis was performed to determine the reasons of long waiting time in ED.FindingsThe results indicate that long waiting times in ED are major concerns for patients and affect the quality of ED services. It was revealed that limited bed capacity, unavailability of necessary staff, layout of ED, lack of understanding among patients about the nature of emergency services are main causes of delay. Addressing these issues using lean tools, integrated with the VOC and VOP perspectives can lead to improved patient flow, higher patient satisfaction and improvement in ED capacity. A future value stream map is proposed to streamline the ED activities and minimize waiting times.Research limitations/implicationsThe research involves a relatively small sample from a single case study. The proposed approach will enable the ED administrators to avoid the ED overcrowding and streamline the entire ED process.Originality/valueThis research identified ED quality issues from the integration of VOC and VOP perspective and suggested appropriate lean tools to overcome these problems. This process improvement approach will enable the ED administrators to improve productivity and performance of hospitals.

A Hybrid Multiple Parallel Queuing Model to Enhance QoS in Cloud Computing

2020 ◽  
Vol 12 (1) ◽  
pp. 18-34 ◽  
Author(s):  
Shahbaz Afzal ◽  
G. Kavitha
Keyword(s):  
Cloud Computing ◽  
Response Time ◽  
Waiting Time ◽  
Queue Length ◽  
Utilization Rate ◽  
Queuing Model ◽  
Total Response Time ◽  
Proposed Model ◽  
Mathematical Equations ◽  
And Performance

Among the different QoS metrics and parameters considered in cloud computing are the waiting time of cloud tasks, execution time of tasks in VM's, and the utilization rate of servers. The proposed model was developed to overcome some of the pitfalls in the existing systems among which are sub-optimal markdown in the queue length, waiting time, response time, and server utilization rate. The proposed model contemplates on the enhancement of these metrics using a Hybrid Multiple Parallel Queuing approach with a joint implementation of M/M/1: ∞ and M/M/s: N/FCFS to achieve the desired objectives. A neoteric set of mathematical equations have been formulated to validate the efficiency and performance of the hybrid queuing model. The results have been validated with reference to the workload traces of Bit Brains infrastructure provider. The results obtained indicate the significant reduction in the queue length by 60.93 percent, waiting time in the queue by 73.85 percent, and total response time by 97.51%.

Monday effect: Flow-time analysis to decrease waiting time in a Respiratory Emergency Unit

2017 ◽  
Author(s):  
Sebastian Rodriguez-Llamazares ◽  
Evelyn Lizette Sanchez-Ramos ◽  
Jessica Valencia-Rivero ◽  
Luis Joel Arroyo-Hernández ◽  
Edgar Felipe Castro-Arellano ◽  
...  
Keyword(s):  
Waiting Time ◽  
Flow Time ◽  
Emergency Unit ◽  
Time Analysis ◽  
Monday Effect

Waiting time analysis of a two-stage queueing system with priorities

1993 ◽  
Vol 14 (3-4) ◽  
pp. 457-473 ◽  
Author(s):  
Christos Langaris
Keyword(s):  
Waiting Time ◽  
Queueing System ◽  
Time Analysis ◽  
Two Stage

scholarly journals WAITING TIME ANALYSIS OF M^X/G/1 QUEUES WITH/WITHOUT VACATIONS UNDER RANDOM ORDER OF SERVICE DISCIPLINE

2000 ◽  
Vol 43 (4) ◽  
pp. 455-468 ◽  
Author(s):  
Norikazu Kawasaki ◽  
Hideaki Takagi ◽  
Yutaka Takahashi ◽  
Sung-Jo Hong ◽  
Toshiharu Hasegawa
Keyword(s):  
Waiting Time ◽  
Random Order ◽  
Service Discipline ◽  
Time Analysis

Random-order-of-service for heterogeneous customers: waiting time analysis

2014 ◽  
Vol 226 (1) ◽  
pp. 527-550 ◽  
Author(s):  
W. Rogiest ◽  
K. Laevens ◽  
J. Walraevens ◽  
H. Bruneel
Keyword(s):  
Waiting Time ◽  
Random Order ◽  
Time Analysis

Queue length and waiting time analysis of a batch arrival queue with bilevel control

1998 ◽  
Vol 25 (3) ◽  
pp. 191-205 ◽  
Author(s):  
H.W. Lee ◽  
J.G. Park ◽  
B.K. Kim ◽  
S.H. Yoon ◽  
B.Y Ahn ◽  
...  
Keyword(s):  
Waiting Time ◽  
Queue Length ◽  
Batch Arrival ◽  
Time Analysis
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