Simulation-based capacity planning and scheduling with AutoSched

A simulation-based modular planning and scheduling system developed for semiconductor fabrication facilities (SFFs) is discussed. Firstly, the general structure model (GSM) for SFFs, composed of a configurable definition layer, a physical layer, a process information layer and a planning and scheduling layer, is proposed. Secondly, a data-based dynamic simulation modeling method is given. Thirdly, a simulation-based modular planning and scheduling system (SMPSS) for SFFs, including model modules, release control modules, scheduling modules and rescheduling modules, is designed and developed. Finally, a case study is used to demonstrate the effectiveness of

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Decision Support System with Simulation-Based Optimization for Healthcare Capacity Planning

10.36819/sw21.030 ◽

2021 ◽

Author(s):

Canan Gunes Corlu ◽

◽

John Maleyeff ◽

Chenshu Yang ◽

Tianhuai Ma ◽

...

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Capacity Planning ◽

Simulation Based ◽

Simulation Based Optimization

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A Simulation-Based Analysis of Electricity Access in Uganda

International Journal of System Dynamics Applications ◽

10.4018/ijsda.2015010101 ◽

2015 ◽

Vol 4 (1) ◽

pp. 1-30 ◽

Cited By ~ 2

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.

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