Simulation Based Resource Capacity Planning with Constraints

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.

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Admission and capacity planning for the implementation of one-stop-shop in skin cancer treatment using simulation-based optimization

Health Care Management Science ◽

10.1007/s10729-012-9213-z ◽

2012 ◽

Vol 16 (1) ◽

pp. 75-86 ◽

Cited By ~ 14

Author(s):

H. L. Romero ◽

N. P. Dellaert ◽

S. van der Geer ◽

M. Frunt ◽

M. H. Jansen-Vullers ◽

...

Keyword(s):

Skin Cancer ◽

Cancer Treatment ◽

Capacity Planning ◽

Simulation Based ◽

Simulation Based Optimization ◽

One Stop

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A simulation based decision support approach for operational capacity planning in a customer order driven assembly line

1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274) ◽

10.1109/wsc.1998.745793 ◽

2002 ◽

Cited By ~ 10

Author(s):

M. Andersson ◽

G. Olsson

Keyword(s):

Decision Support ◽

Capacity Planning ◽

Assembly Line ◽

Customer Order ◽

Simulation Based ◽

Operational Capacity

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Simulation based decision support for airport landside capacity planning

10.32657/10356/15170 ◽

2008 ◽

Author(s):

Yi Lim

Keyword(s):

Decision Support ◽

Capacity Planning ◽

Simulation Based

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A Simulation-Based Planning Methodology for Decreasing Patient Waiting Times in Pure Walk-In Clinics

International Journal of Information Systems in the Service Sector ◽

10.4018/ijisss.2020070103 ◽

2020 ◽

Vol 12 (3) ◽

pp. 34-54

Author(s):

Eduardo Perez ◽

Vivekanand Anandhan ◽

Clara Novoa

Keyword(s):

Capacity Planning ◽

Computational Study ◽

Waiting Times ◽

Discrete Event ◽

Arrival Times ◽

Event Simulation ◽

Simulation Based ◽

The Right ◽

Planning Methodology ◽

Patient Waiting

This article presents a simulation-based planning methodology that aims to improve patient service quality in pure walk-in clinics. Capacity planning is one of the major challenges in walk-in clinics because of the uncertainty in both patient demand and arrival times. This work presents a discrete-event simulation model for walk-in clinics that takes into consideration patient behavior in terms of arrival times for capacity planning at the clinic level. The goal of the model is to provide a tool that will allow clinics to develop protocols that will reduce patient waiting times by scheduling doctor and medical assistants considering demand uncertainties. A case study is presented to illustrate the benefits of the methodology. The results of the computational study show that by allocating the right number of resources at particular times of the day, walk-in clinics can achieve operational steady state while providing services to patients with minimum waiting times. The tool can be adapted and used to support any walk-in clinic.

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