Introduction to simulation

White, K. Preston; Ingalls, Ricki G.

doi:10.1109/wsc.2009.5429315

Cited by 36 publications

(21 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In DES, the components of the system are modelled as objects with specific attributes (White & Ingalls 2009, Banks et al 2010. The basic structural components in the DES model are presented in table 1 according to While & Ingalls (2009).…”

Section: Discrete Event Simulationmentioning

confidence: 99%

Developing forest chips supply chains by redesigning supply operations and logistics

Väätäinen¹

2018

Diss. For.

View full text Add to dashboard Cite

3Väätäinen K. (2018). Developing forest chips supply chains by redesigning supply operations and logistics. Dissertationes Forestales 250. 75p. https://doi.org/10.14214/df.250 ABSTRACTThe overall aim of the thesis was to design efficient supply chain setups in the selected supply environments by enhancing overall supply system performance, decreasing supply costs and improving year-round working opportunities by taking fuel properties through the supply chain into account. The supply chain re-engineering approach has been used with a narrowed focus, where logistics and inventory, material handling and delivery of forest chips to heat and power plant as well as the customer's desideratum have been considered. The studied supply chains were all based on the transportation of forest biomass as chipped from roadside storage locations either directly to power plant or via terminal or inland waterway harbour to power plant by chip truck or a combination of barge and chip truck.Discrete event simulation was selected as a study method due to the characteristics of the forest chip supply chains including the high level of interactions between system elements and the specific characteristics of the supply environment. The data required for the model development and models' parameter input values were acquired from the available data of the real system and from the literature.To enhance the performance of the forest chip supply chain from roadside storage locations to end-use facilities, the following results and conclusions were obtained: 1) Rearrangements in the set-up of fuel reception stations and the logistics of fuel truck reception at the power plant as well as adaptive shift scheduling of trucks resulted in a notable decrease in the waiting times of fuel trucks at the power plant's fuel reception. 2) Forest chip supply from roadside storage locations highly encourages the use of storage area location and quality information for smart material allocation to achieve a higher energy output with lower supply costs, especially when the demand for fuel is at its highest.3) By introducing a feed-in terminal for forest chip supply, cost compensation for additional terminal-driven costs can be gained through a higher annual capacity utilisation of a fuel supply fleet and more secured fuel supply to power plants by decreasing the need for supplemental fuel, which can be more expensive at times when fuel demand is at its highest. Terminal-aided forest chip supply facilitates smoother working throughout the year in the chipping and transporting of forest chips, thus offering more stable working opportunities than a conventional direct supply of forest chips. 4) Inland waterway areas with existing waterway infrastructure and close connections to biomass resources and enduse facilities can offer a cost-competitive and supplemental method for the long distance transport of forest chips. Reshaping the conventional fleet used for waterway transport and restructuring the logistics of waterway transportation together with harbour ope...

show abstract

Section: Discrete Event Simulationmentioning

confidence: 99%

Developing forest chips supply chains by redesigning supply operations and logistics

Väätäinen¹

2018

Diss. For.

View full text Add to dashboard Cite

show abstract

“…conduct a series of system scenarios to draw conclusions about real systems (6). Simulation is also defined as a simple imitation of real-world operating systems that aims to evaluate the system (7). There are various simulation methods, one of which is Monte Carlo Simulation.…”

Section: In Manadomentioning

confidence: 99%

Monte Carlo Simulation of on-Street Parking Retribution Revenue Potential in Sleman Regency Indonesia

Soejanto¹,

Soejanto²,

Astanti³

2018

IJET

View full text Add to dashboard Cite

Regional autonomy in Indonesia allows every region in Indonesia to manage its own finances. Each region shall be entitled to regulate their own locally-generated revenue, including taxes and user charges. One source of regional levies is from Public On-street parking. On-Street parking in Sleman Regency Yogyakarta has considerable potential. Sleman is a district with the largest population in DI Yogyakarta province of Indonesia. This is because most of the commercial, educational, health and employment centers are located in Sleman. There are several On-street parking centers in Sleman, and the most are in Depok District. So far, the parking retribution system of On-street parking is one of the sources of locally-generated revenue is to determine the value of certain contracts that must be paid by the parking operator to the government. The value of this contract is fixed monthly for one year and will be reviewed in the following year. The value of this fixed contract indicates the number and types of vehicles coming at that location are fixed every day. For example, if the parking rate of two-wheeled vehicles is IDR 1000 and the monthly contract value is IDR 400,000 then the parking location will only contain a maximum of 13 motorcycles every day. In fact, the frequency of vehicles and vehicle types is a variable that is probabilistic in nature. Therefore, this study will attempt to simulate the potential revenue of parking charges by entering on-street parking probabilistic elements. The result of this research is the combination and number of parking vehicles obtained from simulation result. This simulation model can then be used as a predictor of the potential revenue from on-street parking charge so that it can also be used to determine a more appropriate contract value policy.

show abstract

“…(For an industrial-strength treatment, see, for example, Chung and White 2008) . In this and the following sections, we fo llow the presentation of ideas developed White and Ingalls (2009) . The process logic for this simulation model is shown in Figure 1.…”

Section: Call Center Examplementioning

confidence: 99%