scholarly journals A Bimodal Transportation Model for Steam Coal Exportation Based on Magdalena River as Main Waterway

2016 ◽  
Vol 9 (18) ◽  
pp. 25 ◽  
Author(s):  
Henry Murcia
Keyword(s):  
Discrete Event ◽  
Transportation System ◽  
Mining Activity ◽  
Saturation State ◽  
Support Tool ◽  
Event Simulation ◽  
Surplus Production ◽  
System A ◽  
Magdalena River

The aim of this work is to offer a new alternative to allow the release of the Colombian coal transportation system that nowadays is under a saturation state. For this reason it is proposed, the option of making the exportation of the surplus production granted by the thermic coal mining activity focused on the Cesar department, through a bimodal transportation system that will highlight on the Magdalena River as the most important way for the logistic development of the country. As main key and support tool, the Discrete Event Simulation (DES) methodology was used for conducting experiments based on information which has given the characterization of the proposed system. Hence, the establishment of the conceptual model that determinated and limit the system, a simulation in the software Rockwell Arena was implemented which results were tested and analyzed to study the performance of itself. 

scholarly journals Socio-economic impact of the construction of an intermodal connection in Puerto Salgar, Cundinamarca

2018 ◽  
Vol 12 (23) ◽  
pp. 73
Author(s):  
Omar David Cruz Pineda ◽  
Emmanuel Lara Abello
Keyword(s):  
Economic Impact ◽  
Discrete Event ◽  
Freight Transportation ◽  
Transportation System ◽  
Main Axis ◽  
Intermodal Transportation ◽  
Event Simulation ◽  
Socio Economic Impact ◽  
Magdalena River ◽  
The Town

The aim of this work is to show the socio-economic impact in the Cundinamarca-Boyacá plateau produced by the construction and promotion of an alternative to relieve the freight transportation system in the region, and how it echoes in the manufacturing levels of the ship industry. For this reason, it is evaluated the option of establishing a logistics area in the town of Puerto Salgar (Cundinamarca) where may confluence an intermodal transportation system which emphasizes the Magdalena River as the main way for the country’s development and Puerto Salgar as the main axis for the economic growth of the plateau. The Discrete Event Simulation (DES) methodology was used for this work, using information given by previous studies by the Ministerio de Transporte, the Dirección Nacional de Planeación and the Instituto Nacional de Vías; setting a conceptual model which determines and limit the study, and implementing a Rockwell Arena simulation.

scholarly journals Resources Allocation in Service Planning Using Discrete-Event Simulation

2021 ◽  
Vol 25 ◽  
Author(s):  
Mauricio Becerra-Fernández ◽  
Milton M. Herrera ◽  
Cristian Trejos ◽  
Olga R. Romero
Keyword(s):  
Discrete Event Simulation ◽  
Goodness Of Fit ◽  
Performance Metrics ◽  
Discrete Event ◽  
Service Planning ◽  
Point Of Sale ◽  
Event Simulation ◽  
Fit Statistics ◽  
The Times

Objective: Calculate the required personnel and resources needed to fulfill the service promise agreed with the customer. Methods and materials: This paper presents a discrete event simulation (DES) model developed to select and implement a Point of Sale (POS) for a company providing financial products. First, the paper shows the characterization of the system components and times per process. Then, hypothesis testing and goodness-of-fit statistics are estimated. Subsequently, the simulation scenarios assess the times between arrivals and the number of commercial advisers. Results and discussion: This model allows us to assess the allocation of resources to fulfill the service promise, which is that 80 % of customers must be served within one hour or less. This paper provided the service isoquants allowing us to observe the behavior of the performance metrics (service promise fulfillment) among different scenarios. Conclusions: The use of DES techniques allows for the evaluation of the assignment of personnel to achieve the fulfillment of the service promise, including facilities, equipment, and the evaluation of related processes. These methods can be extended to the analysis of resource allocation in the development of other processes, observing the relationship between service quality and operating costs.

scholarly journals Designing an Efficient Production System: A Case Study of a Clothing Company

10.5772/56842 ◽  
2013 ◽  
Vol 5 ◽  
pp. 36 ◽  
Author(s):  
M. Bevilacqua ◽  
F.E. Ciarapica ◽  
A. Crosta ◽  
G. Mazzuto ◽  
C. Paciarotti
Keyword(s):  
Discrete Event ◽  
Production Capacity ◽  
Flow Time ◽  
Batch Size ◽  
Efficient Production ◽  
Fashion Industry ◽  
Event Simulation ◽  
System A ◽  
Two Parameters

This paper is based on a discrete-event simulation model and reproduces the sewing department of a clothing company involved in the fashion industry. It aims to quantitatively assess the effects of different production configurations on flow time and production capacity. In particular, the production phases of men's jackets are examined. Eight configurations are evaluated, stemming from the combination of two parameters: batch size and number of machines. For each configuration, the flow time, the production capacity and the waiting time are computed. A subsequent Design of Experiment (DoE) analysis has been performed on these configurations, with the aim of identifying significant single and combined effects of the above parameters on the results observed. The goal is to obtain improvements in the production process. The data provided by the simulation is used in order to make a critical analysis of the system production and leads to the formation of proposals for the improvement of the lay-out.

The Environmental Impact Assessment of a Company’s Manufacturing System

2015 ◽  
Author(s):  
Dimitrios Anagnostakis ◽  
James M. Ritchie ◽  
Theodore Lim ◽  
Conor Craig ◽  
Jamie Speedie
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Production System ◽  
Manufacturing System ◽  
Discrete Event ◽  
Event Simulation ◽  
System A ◽  
Ideal System ◽  
Save Energy ◽  
A Company

The major objective of this study is the estimation of the environmental impacts of a company’s manufacturing system. For this purpose, environmental key performance indicators are selected related to the energy consumption and pollutant gas emissions. To obtain accurate results and achieve an evaluation of the production system, a discrete event simulation tool was equipped. In this way, the production processes of a company were modelled and simulated in order to be assessed with regards to their environmental performance and impacts. The assessment of the investigated manufacturing system was carried out, by comparing it against a hypothetical ideal system of 100% efficiency in order for potential reductions in energy consumption and carbon emissions to be identified. Additionally, a supplementary use of the proposed methodology is presented showing that modelling the production system in advance a company can save energy and associated costs as well as reduce carbon emissions.

scholarly journals Framework for Operational Performance Measurements in Small and Medium Scale Industries Using Discrete Event Simulation Approach

2018 ◽  
Vol 8 (4) ◽  
pp. 3103-3107
Author(s):  
B. O. Odedairo ◽  
N. Nwabuokei
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Decision Support Tool ◽  
Simulation Approach ◽  
Case Scenario ◽  
Worst Case ◽  
Support Tool ◽  
Event Simulation ◽  
Work In Process ◽  
The Status

Globally, production systems must cope with limitations arising from variabilities and complexities due to globalization and technological advancements. To survive in spite of these challenges, critical process measures need to be closely monitored to ensure improved system performance. For production managers, the availability of accurate measurements which depict the status of production activities in real time is desired. This study is designed to develop an operational data decision support tool (ODATA-DST) using discrete event simulation approach. The work-in-process and processing time of each workstation/buffer station in a bottled water production system were investigated. The status of each job as they move through the system was used to simulate a routing matrix. The production output data for 50cl and 75cl product from 2014-2016 were collected. A mathematical model for routing jobs from the point of arrival to the point of departure was developed using discrete event simulation. A graphical user interface (GUI) was designed based on the factory’s performance measurement algorithm. Simulating the factory’s work-in-process with respect to internal benchmarks yielded a cycle time of 4.4, 6.23, 5.04 and throughput of 0.645, 0.455, 0.637 for best case scenario, worst case scenario and practical worst case scenario respectively. The factory performed below the simulated benchmark at 26%, 28%, 28% for the 50cl and at 51%, 54%, 59% for 75cl regarding the year 2014, 2015 and 2017 respectively. Performance measurement decision support tool has been developed to enhance the production manager’s decision making capability. The tool can improve production data analysis and performance predictions.

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