Validating the Capacity Planning Process and Flowline Product Sequencing Through Simulation Analysis

2006 ◽  
Author(s):  
J.H. Marvel ◽  
M.A. Schaub ◽  
G. Weckman
Keyword(s):  
Capacity Planning ◽  
Planning Process ◽  
Simulation Analysis

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.

A Simulation-Based Analysis of Electricity Access in Uganda

2015 ◽  
Vol 4 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Donna Lillian Namujju ◽  
Gönenç Yücel ◽  
Erik Pruyt ◽  
Richard Okou
Keyword(s):  
Power Supply ◽  
Capacity Planning ◽  
Planning Process ◽  
Supply And Demand ◽  
Dynamics Simulation ◽  
Power Sector ◽  
Model Simulations ◽  
Root Cause ◽  
Simulation Based ◽  
Electricity Access

Access to power is tied to a country's development. It facilitates improved social welfare, education, health and income generating opportunities. Uganda's economy is stifled by its low electrification rates - 16% nationally. This study builds a working theory on the internal setup of Uganda's power sector utilizing this theory to surface influential behavior modes as they pertain to power generation and supply and how these ultimately affect electricity access. Based on this working theory a System Dynamics simulation model is built. The model simulations show how Uganda's power sector is expected to evolve over 80 years in terms of power supply and demand given existing market structure and prevailing conditions. The study finds major problems in the nature of power accessed specifically an insufficient and unreliable power supply. The root cause is found in the nature of the existing capacity planning process in terms of how future capacity requirements are determined and the agreements made with generators as to how and when they fulfill their investment obligations.

scholarly journals COVID-19 Models for Hospital Surge Capacity Planning: A Systematic Review

2020 ◽  
pp. 1-8
Author(s):  
Michael G. Klein ◽  
Carolynn J. Cheng ◽  
Evonne Lii ◽  
Keying Mao ◽  
Hamza Mesbahi ◽  
...  
Keyword(s):  
Capacity Planning ◽  
Planning Process ◽  
Patient Flow ◽  
Hospital Administrators ◽  
Hospital Capacity ◽  
Governmental Agencies ◽  
Patient Pathways ◽  
Meta Analyses ◽  
Google Search ◽  
Second Wave

ABSTRACT Objective: Health system preparedness for coronavirus disease (COVID-19) includes projecting the number and timing of cases requiring various types of treatment. Several tools were developed to assist in this planning process. This review highlights models that project both caseload and hospital capacity requirements over time. Methods: We systematically reviewed the medical and engineering literature according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We completed searches using PubMed, EMBASE, ISI Web of Science, Google Scholar, and the Google search engine. Results: The search strategy identified 690 articles. For a detailed review, we selected 6 models that met our predefined criteria. Half of the models did not include age-stratified parameters, and only 1 included the option to represent a second wave. Hospital patient flow was simplified in all models; however, some considered more complex patient pathways. One model included fatality ratios with length of stay (LOS) adjustments for survivors versus those who die, and accommodated different LOS for critical care patients with or without a ventilator. Conclusion: The results of our study provide information to physicians, hospital administrators, emergency response personnel, and governmental agencies on available models for preparing scenario-based plans for responding to the COVID-19 or similar type of outbreak.

Strategic Capacity Planning Process for Intercity Passenger Rail

2010 ◽  
Author(s):  
Yung-Cheng Rex Lai ◽  
Mei-Cheng Shih
Keyword(s):  
Capacity Planning ◽  
Planning Process ◽  
Capital Investments ◽  
Railway Transportation ◽  
Investment Plan ◽  
Passenger Rail ◽  
Optimal Network ◽  
Network Investment ◽  
Railway System ◽  
Potential Use

The demand for railway transportation is expected to be significantly increased worldwide; hence railway agencies are looking for better tools to allocate their capital investments on capacity planning in the best possible way. We presented a capacity planning process to help planners enumerate possible expansion options and determine the optimal network investment plan to meet the future demand. This process was applied to the conventional railway system in Taiwan to demonstrate its potential use. Using this capacity planning process will help railway agencies maximize their return from capacity expansion projects and thus be better able to provide reliable service to their customers, and return on shareholder investment.

scholarly journals Tactical capacity planning in hospital departments

2019 ◽  
Vol 32 (1) ◽  
pp. 233-245
Author(s):  
Agneta Larsson ◽  
Anna Fredriksson
Keyword(s):  
Capacity Planning ◽  
Planning Process ◽  
Multiple Case Study ◽  
Tactical Planning ◽  
Content Type ◽  
Essential Components ◽  
Multiple Case ◽  
Planning Processes ◽  
Context Specific

Purpose The purpose of this paper is to explore tactical planning potential within hospital departments. The study had two objectives: first, to develop a framework for tactical capacity planning in healthcare departments by identifying and structuring essential components for healthcare capacity management; and, second, to identify context-specific requirements and functionality demands on tactical planning processes within healthcare. Design/methodology/approach A framework for tactical capacity planning was developed through a literature review. Additionally, an exploratory multiple-case study was performed, with cases from three Swedish hospital departments, which provide the opportunity to study framework applicability in its natural context. Findings Findings illustrate how an active tactical planning process can facilitate adjustments to capacity. However, the multiple-case study shows that there are contextual differences between departments, depending on available treatments and resources that affect capacity adjustments, and how the planning process activities should be structured. Originality/value This project develops a framework for a tactical capacity-planning process adapted to healthcare provider contexts. By developing the framework, based on the literature and tactical level planning processes within three Swedish hospital case studies, the authors bridge gaps between theory and application regarding healthcare capacity planning.

NURBS Curve Real-Time Interpolation Feed Speed Planning for CNC Machining

2014 ◽  
Vol 635-637 ◽  
pp. 1394-1397
Author(s):  
Jing Zhao ◽  
Li Li ◽  
Guo Xun Wang
Keyword(s):  
Machine Tool ◽  
Real Time ◽  
Planning Process ◽  
Simulation Analysis ◽  
Cnc Machining ◽  
Good Effect ◽  
Feed Speed ◽  
Maximum Acceleration ◽  
Machine Tool Dynamics ◽  
Tool Dynamics

In order to solve the problem of large amount of calculation and real time is not high in the process of NURBS real-time interpolation feed speed planning, offline feed speed planning method is proposed, the method plan speed in non real-time cycle, and generate the feed speed curve. In order to meet the machine tool dynamics constraint, the maximum acceleration and the jerk constraints were considered fully in the planning process. The simulation analysis show that the proposed method can greatly reduce the amount of computing tasks in real-time interpolation cycle, improve the real-time performance of interpolation; At the same time, the speed curve of the planning satisfies the requirement of machine tool dynamics, has the good effect of feeding speed smooth, is helpful to improve the interpolation precision.

Integrated Capacity Planning System for Shipyards

2015 ◽  
Author(s):  
Deanne B. McPherson ◽  
Christopher B. Ligetti ◽  
Daniel A. Finke ◽  
Drew Anderson
Keyword(s):  
Capacity Planning ◽  
Planning Process ◽  
Planning System ◽  
Effective Capacity ◽  
Data Systems ◽  
Planning Tool ◽  
Current Production ◽  
Efficient Integration ◽  
Spatial Scheduling ◽  
Scheduling Tool

This paper introduces a set of integrated software tools that improve a shipyard’s ability to conduct effective capacity planning and analyses as well improve their spatial scheduling throughout all their facilities. The Long-Range Capacity Planning Tool replaces a manually intensive planning process through a user-friendly interface. The Spatial Scheduling Tool is a vastly improved version of previously developed software (Finke et al., 2007; 2008) to determine which areas of the shipyard are in use throughout the build plan. Finally, a Shop-Level Capacity Planning Tool is introduced that provides planners a view of work order schedules and their impact on work center capacity. These tools can be used to generate and save different build plan scenarios to perform what-if analyses and to perform more accurate capacity analyses to explore how adding a new hull to the build plan will affect current production plans. These tools interface with a Central Data System, which extracts information from legacy data systems, and acts as the central repository for all capacity planning data, ensuring that the tools have identical and up to date information. The tools also provide reporting/export functions that enable efficient integration back to the shipyard’s legacy execution system.

Sign in / Sign up

Export Citation Format

Share Document