scholarly journals A Capacity Planning through Discrete Event Simulation

Jurnal PASTI ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 146
Author(s):  
Arief Suharko
Keyword(s):  
Production Process ◽  
Discrete Event Simulation ◽  
Real World ◽  
Capacity Planning ◽  
Discrete Event ◽  
Model Construction ◽  
Strategic Decisions ◽  
Event Simulation ◽  
Run Time ◽  
Critical Resources

The capacity planning serves an important role in strategic decisions involving production facilities. While there are many publications made on capacity planning, most of the models created tend to restrict their applications in real-world due to some initial assumptions being made and/or the run-time execution of the models that may be prohibitive. The objective of this paper is to explore the model construction for in-plant truck movement in a cement company that is based on building a discrete-event simulation one so that the planning may be sufficiently robust while the amount of time for constructing the model and the run-time still serve practical purposes. The model then is used to examine the effects of shifting bottlenecking and thus, allows users to identify critical resources for the production process. The results show that such a model provides the directions and aids for the management to make the strategic decisions.

Applying Discrete Event Simulation (DES) in Healthcare

2015 ◽  
pp. 390-410
Author(s):  
Stavros T. Ponis ◽  
Angelos Delis ◽  
Sotiris P. Gayialis ◽  
Panagiotis Kasimatis ◽  
Joseph Tan
Keyword(s):  
Discrete Event Simulation ◽  
Capacity Planning ◽  
Planning Process ◽  
Discrete Event ◽  
Healthcare Facilities ◽  
Performance Improvements ◽  
Event Simulation ◽  
Health Insurance Provider ◽  
And Performance

This paper highlights the opportunities and challenges of applying Discrete Event Simulation (DES) to support capacity planning of a network of outpatient facilities. Despite an abundance of studies using simulation techniques to examine the operation and performance of outpatient clinics, the problem of capacity allocation and planning of medical services within a network of outpatient healthcare facilities appears to be underexplored. Here, a case study of a health insurance provider that operates a network of six outpatient medical facilities in the US is used to illustrate and explore the synthesizing and adaptive, yet parsimonious nature of using DES methodology for network design and capacity planning. Results of this case study demonstrate that significant performance improvements for the network operator can be achieved with applying DES method to support the network facility capacity planning process.

Application of Discrete-Event Simulation to Capacity Planning at a Commercial Airport

2015 ◽  
pp. 719-733
Author(s):  
L. Douglas Smith ◽  
Liang Xu ◽  
Ziyi Wang ◽  
Deng Pan ◽  
Laura Hellmann ◽  
...  
Keyword(s):  
Discrete Event Simulation ◽  
Capacity Planning ◽  
Discrete Event ◽  
Event Simulation

Using discrete-event simulation in strategic capacity planning for an outpatient physical therapy service

2013 ◽  
Vol 16 (4) ◽  
pp. 352-365 ◽  
Author(s):  
Chi-Lun Rau ◽  
Pei-Fang Jennifer Tsai ◽  
Sheau-Farn Max Liang ◽  
Jhih-Cian Tan ◽  
Hong-Cheng Syu ◽  
...  
Keyword(s):  
Physical Therapy ◽  
Discrete Event Simulation ◽  
Capacity Planning ◽  
Discrete Event ◽  
Event Simulation ◽  
Strategic Capacity ◽  
Therapy Service

Improving the Organization of Waste Management Sites

2021 ◽  
Vol 12 (2) ◽  
pp. 58-71
Author(s):  
Elad Harison ◽  
Arkady Cherkassky ◽  
Ofer Barkai
Keyword(s):  
Waste Management ◽  
Population Growth ◽  
Discrete Event Simulation ◽  
Real World ◽  
Discrete Event ◽  
Arrival Times ◽  
Event Simulation ◽  
Broad Scope ◽  
Growth Changes ◽  
And Performance

Waste management (WM) sites operate a broad scope of processes and activities that involve treatment of industrial and private waste and its recycling and landfilling. The paper applies discrete event simulation (DES) methods to assess the performance of different configurations of WM sites, as means for improving their productivity, efficiency, and organization. The authors evaluate the functioning and performance of WM sites under various real-world scenarios, such as different waste arrival times, changes of the volume of waste due to population growth, changes in the shares of different recycled materials due to increasing awareness and public campaigns. The results of the model can serve policymakers, environmentalists, and WM site managers in utilizing their existing facilities to improve both productivity and recycling and thereby reduce waste.

scholarly journals Planning Capacity for Mental Health and Addiction Services in the Emergency Department: A Discrete-Event Simulation Approach

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Deyvison T. Baia Medeiros ◽  
Shoshana Hahn-Goldberg ◽  
Dionne M. Aleman ◽  
Erin O’Connor
Keyword(s):  
Mental Health ◽  
Emergency Department ◽  
Discrete Event Simulation ◽  
Capacity Planning ◽  
Discrete Event ◽  
Minimal Impact ◽  
Event Simulation ◽  
Number Of Patients ◽  
Ed Visits ◽  
Resource Capacity

Ontario has shown an increasing number of emergency department (ED) visits, particularly for mental health and addiction (MHA) complaints. Given the current opioid crises Canada is facing and the legalization of recreational cannabis in October 2018, the number of MHA visits to the ED is expected to grow even further. In face of these events, we examine capacity planning alternatives for the ED of an academic hospital in Toronto. We first quantify the volume of ED visits the hospital has received in recent years (from 2012 to 2016) and use forecasting techniques to predict future ED demand for the hospital. We then employ a discrete-event simulation model to analyze the impacts of the following scenarios: (a) increasing overall demand to the ED, (b) increasing or decreasing number of ED visits due to substance abuse, and (c) adjusting resource capacity to address the forecasted demand. Key performance indicators used in this analysis are the overall ED length of stay (LOS) and the total number of patients treated in the Psychiatric Emergency Services Unit (PESU) as a percentage of the total number of MHA visits. Our results showed that if resource capacity is not adjusted, ED LOS will deteriorate considerably given the expected growth in demand; programs that aim to reduce the number of alcohol and/or opioid visits can greatly aid in reducing ED wait times; the legalization of recreational use of cannabis will have minimal impact, and increasing the number of PESU beds can provide great aid in reducing ED pressure.

scholarly journals Overall Equipment Effectiveness Analysis Using Discrete Event Simulation at Table Tennis Table Manufacturer

2020 ◽  
Vol 19 (2) ◽  
pp. 157
Author(s):  
Yuniaristanto Yuniaristanto ◽  
Iqbal Wahyu Saputra ◽  
Muhammad Hisjam
Keyword(s):  
Production Process ◽  
Discrete Event Simulation ◽  
Production Efficiency ◽  
Discrete Event ◽  
Table Tennis ◽  
Event Simulation ◽  
And Performance ◽  
Performance Rate ◽  
Production Losses ◽  
Improve Production Efficiency

To measure the performance of the production process, an efficiency calculation is performed using the Overall Equipment Effectiveness (OEE) method. OEE can measure various production losses and identify potential developments that can be carried out in a production process. This research is expected to be an input to improve production efficiency. The results of overall equipment effectiveness are then performed using Discrete Event Simulation, which built using STELLA Architect. The result shows that their overall equipment effectiveness scores are below the company goals, and performance rate is their lowest score. These simulation results are expected to be a basis for improvements in the production division, especially at Table Tennis Table Manufacturer.

Capacity Planning for Maternal–Fetal Medicine Using Discrete Event Simulation

2014 ◽  
Vol 32 (08) ◽  
pp. 761-770 ◽  
Author(s):  
Nicole Ferraro ◽  
Courtney Reamer ◽  
Thomas Reynolds ◽  
Lori Howell ◽  
Julie Moldenhauer ◽  
...  
Keyword(s):  
Discrete Event Simulation ◽  
Capacity Planning ◽  
Discrete Event ◽  
Maternal Fetal Medicine ◽  
Fetal Medicine ◽  
Event Simulation

scholarly journals Tactical manufacturing capacity planning based on discrete event simulation and throughput accounting: A case study of medium sized production enterprise

2021 ◽  
Vol 16 (3) ◽  
pp. 335-347
Author(s):  
M. Jurczyk-Bunkowska
Keyword(s):  
Decision Making ◽  
Discrete Event Simulation ◽  
Production System ◽  
Capacity Planning ◽  
Discrete Event ◽  
Economic Assessment ◽  
Rational Decision ◽  
Event Simulation ◽  
Planning Decisions ◽  
Manufacturing Company

The article presents the application of the original methodology to support tactical capacity planning in a medium-sized manufacturing company. Its essence is to support medium-term decisions regarding the development of the production system through economic assessment of potential change scenarios. It has been assumed that the developed methodology should be adapted to small and medium-sized enterprises (SMEs). Due to their flexibility, they usually have limited time for decision-making, and due to limited financial resources, they rely on internal competencies. The proposed approach that does not require mastery of mathematical modelling but allows streamlining capacity planning decisions. It uses the reasoning of throughput accounting (TA) supported by data obtained based on discrete event simulation (DES). Using these related tools in the design and analysis of change scenarios, make it possible for SME managers to make a rational decision regarding the development of the production system. Case studies conducted in a roof window manufacturing company showed the methodology. The application example presented in the article includes seven change scenarios analyzed based on computer simulations by the software Tecnomatix Plant Simulation. The implementation of the approach under real conditions has shown that a rational decision-making process is possible over time scale and with the resources available to SMEs for this type of decision.

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