Simulation of M/M/1 Queue Model Based on WITNESS

2011 ◽  
Vol 261-263 ◽  
pp. 753-756
Author(s):  
Hua Meng ◽  
Hua Wang ◽  
Jian Jun Wang
Keyword(s):  
Complex System ◽  
Production Line ◽  
Queuing Theory ◽  
Simulation Method ◽  
System Optimization ◽  
Theory Method ◽  
Steel Making ◽  
Queue Model ◽  
System Characteristics ◽  
Static Simulation

The techno-interface of BF-BOF region is an important stage that connects iron making procedure with steel making procedure in the production line, acting as a connecting link between the preceding and the following procedure. It is also the key region to optimize the iron making and steel making process as a whole. In this paper, based on queuing theory method for BF-BOF region simulation, a static simulation method is presented to realize the simulation of dynamic system, WITNESS is used to simulate the M/M/1 queue model. The number of different transportation ladles has been analyzed to influence the BF-BOF region, the best ladles were obtained in order to improve production rate. The results show that the modeling method can reflect the complex system characteristics of BF-BOF region and provide the advice for system optimization.

scholarly journals Uncertainty Simulation of Wood Chipping Operation for Bioenergy Based on Queuing Theory

Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 822
Author(s):  
Yoshida ◽  
Takata
Keyword(s):  
Supply Chain ◽  
Moisture Content ◽  
Queuing Theory ◽  
Wood Chip ◽  
Stochastic Modelling ◽  
Simulation Method ◽  
Daily Production ◽  
Deterministic Simulation ◽  
Loss Compensation ◽  
Truck Arrival

Managing uncertainty is the way to secure stability of the supply chain. Uncertainty within chipping operation and chip transportation causes production loss. In the wood chip supply chain for bioenergy, operational uncertainty mainly appears in the moisture content of the material, chipping productivity, and the interval of truck arrival. This study theoretically quantified the loss in wood chip production by applying queuing theory and stochastic modelling. As well as the loss in production, the inefficiency was identified as the idling time of chipper and the queuing time of trucks. The aim of this study is to quantify the influence of three uncertainties on wood chip production. This study simulated the daily chip production using a mobile chipper by applying queuing theory and stochastic modelling of three uncertainties. The result was compared with the result of deterministic simulation which did not consider uncertainty. Uncertainty reduced the production by 14% to 27% compared to the production of deterministic simulation. There were trucks scheduled but not used. The cases using small trucks show the largest daily production amount, but their lead time was the longest. The large truck was sensitive to the moisture content of material because of the balance between payload and volumetric capacity. This simulation method can present a possible loss in production amount and enables to evaluate some ways for the loss compensation quantitatively such as outsourcing or storing buffer. For further development, the data about the interval of truck arrival should be collected from fields and analyzed. We must include the other uncertainties causing technical and operator delays.

CORM

2012 ◽  
pp. 174-201
Author(s):  
Hoda Mamdouh Hassan
Keyword(s):  
Complex System ◽  
Network Design ◽  
Computer Networks ◽  
Reference Model ◽  
Network Architectures ◽  
Engineering Approach ◽  
Engineering Discipline ◽  
Technological Constraints ◽  
System Characteristics ◽  
Derivation Process

Designing future computer networks dictates an eclectic vision capable of encompassing ideas and concepts developed in contemporary research unfettered by today’s operational and technological constraints. However, unguided by a clear articulation of core design principles, the process of network design may be at stake of falling into similar pitfalls and limitations attributed to current network realizations. This chapter presents CORM: a clean-slate Concern-Oriented Reference Model for architecting future computer networks. CORM stands as a guiding framework from which several network architectures can be derived. CORM represents a pioneering attempt within the network realm, and to the author’s knowledge, CORM is the first reference model that is bio-inspired, accounts for complex system characteristics, and applies a software engineering approach to network design. Moreover, CORM’s derivation process conforms to the Function-Behavior-Structure (FBS) engineering framework, which is credited to be applicable to any engineering discipline for reasoning about, and explaining the process of design.

scholarly journals Optimal Buffer Allocation For Unpaced Balanced And Unbalanced Mean Processing Time

2012 ◽  
Author(s):  
Zalinda Othman ◽  
Shahrul Kamaruddin ◽  
Mohd. Shihabudin Ismail
Keyword(s):  
Key Words ◽  
Coefficient Of Variation ◽  
Production Line ◽  
Processing Time ◽  
Simulation Method ◽  
Buffer Allocation ◽  
Throughput Rate ◽  
Processing Times ◽  
The Mean

Artikel ini membincangkan peruntukan penampan optimum untuk talian pengeluaran unpaced yang pendek dan boleh diharap (tiada mesin rosak). Parameter utama yang mempengaruhi talian dalam kajian ini adalah min masa pemprosesan (μ) dan pekali variasinya (Cv). Lapan taburan min masa pemprosesan telah dikaji. Setiap taburan dipadankan dengan 15 konfigurasi peruntukan penampan. Kaedah simulasi digunakan bagi menganggar kadar keluaran talian untuk setiap kes. Keputusan kajian menunjukkan peruntukan penampan tertentu mempengaruhi kadar keluaran talian. Bagi talian yang boleh diharap dan min seimbang, peruntukan penampan yang optima adalah dengan mengagihkan bilangan penampan secara sama rata ke setiap slot penampan. Jika penampan tambahan diperlukan selepas agihan dilakukan, letakkan penampan tambahan tersebut pada slot penampan yang di tengah. Manakala bentuk peruntukan penampan yang baik bagi talian yang mempunyai min tidak seimbang (dengan anggapan setiap stesen mempunyai Cv tetap dan boleh diharap) ialah mengikut bentuk taburan min masa pemprosesan talian tersebut. Kata kunci: Talian pengeluaran unpaced, min tidak seimbang, peruntukan penampan optima, talian seimbang, talian pengeluaran unpaced boleh diharap This article discusses an optimal buffer allocation for short unpaced production line and it is assumed reliable (no machines breakdown). The main parameters that affect the line are mean processing time (μ) and its coefficient of variation (Cv). Eight different mean processing time distributions were studied. Each distribution was matched with 15 different buffer allocations. Simulation method was used to estimate the line throughput rate. The results showed that the allocation of buffers affect the throughput rate. For a reliable and balanced line, the optimum buffer allocation is by equally distributing the number of buffers to each buffer slot. In the case of an extra buffer is needed after equally distribution, it is placed at the center buffer slot. Meanwhile, the best buffer allocation shape for a line with unbalanced mean (with the assumption that each station is having fixed Cv and is reliable) follows the shape of the mean processing times of that line. Key words: Unpaced production line, unbalanced mean, optimal buffer allocation, balanced line, reliable unpaced production line

The Application of Computer Simulation Technology in the Queuing System Optimization

2014 ◽  
Vol 556-562 ◽  
pp. 3849-3851
Author(s):  
Rong Hua Tan
Keyword(s):  
Computer Simulation ◽  
Queuing Theory ◽  
Optimization Problem ◽  
Classical Model ◽  
Discrete Event ◽  
System Optimization ◽  
Discrete Event System ◽  
Queuing System ◽  
Event System ◽  
Definition Of

The optimization Problem of queuing system is an important research subject in the queuing system.There are two ways to solve this problem:one is the traditional theoretical analysis, the other is the application of computer simulation. This thesis introduces the queuing theory and the simulation technique of discrete event system, including fundamental conceptions, methods, performance index and classical model of queuing system, as well as the definition of simulation and the procedure of the simulation of discrete event system. And procedure and parameters set of general modeling methods are analyzed.

scholarly journals Evaluation of SME (Small Medium Enterprise) production system with discrete system simulation method

2018 ◽  
Vol 154 ◽  
pp. 01067
Author(s):  
Reno Dias Anggara Purba ◽  
M Iqbal Sabit ◽  
Joko Sulistio
Keyword(s):  
Production Line ◽  
Discrete System ◽  
System Simulation ◽  
Waiting Times ◽  
Minimum Cost ◽  
Poor Performance ◽  
Simulation Method ◽  
Manufacturing Companies ◽  
Production Lines ◽  
Best Response

Like manufacturing companies that have flowshop production lines, SME facing the amount of flow time and makespan. Unfulfilled production targets, buildup on some machines that result in other machines being idle, increasing waiting times across multiple machines, and poor performance of workers are a series of problems facing SME. This article uses a discrete system simulation method to analyze and evaluate SME production lines to improve performance. Simulation is an appropriate tool used when experiments are needed in order to find the best response from system components. From the results of modeling and simulation done found the root of the problem is due to accumulation that occurs in one machine and the lack of utility of the operator in producing bags. So do the experimental design with 3 scenarios on the system that have been modeled and obtained some solutions that can be offered to solve the problem. Furthermore, after the alternative selection is obtained the best scenario based on the alternative selection test is the scenario3 by adding 2 new machines and 1 new operator on the production line obtained a significant output increase compared to other scenarios of approximately 30%. While the best scenario based on the minimum cost is the scenario2 by adding 2 new operators obtained output that is not much different than the scenario3. However, it has not been able to solve a series of problems facing SME. Therefore, the results of this study to solve a series of problems faced by SME is to add facilities in the production line of 2 new machines and 1 operator (scenario3).

scholarly journals INNOVATIVE APPROACH TO INCREASE OF OPERATIONAL SPEED AND PRODUCTIVITY

2021 ◽  
Vol 1 (48) ◽  
pp. 188-202
Author(s):  
Lomotko D ◽  
◽  
Krasnoshtan O ◽  
Keyword(s):  
Complex System ◽  
Transport System ◽  
Carrying Capacity ◽  
High Speed ◽  
System Analysis ◽  
System Optimization ◽  
Point Of View ◽  
Directed Synthesis ◽  
Complex Structural ◽  
Object Of Study

The article proposes an approach to improving the structure and parameters of complexes for the organization of cargo exchange of piggyback trains using the approach of complex system optimization. The object of study - the process of piggyback transport, methods and approaches to increase its efficiency and speed. The purpose of the work is to determine the methods of improving the efficiency of piggyback transportation and their flexibility in order to adapt its parameters to the needs of customers. Synthesis of methods to increase the flexibility of the piggyback transport system while maintaining consistently high rates of carrying capacity and speed of goods delivery. Research method - system analysis and complex structural-parametric optimization. The organization of piggyback transportation is one of the elements of improving the efficiency and balance of the country's transport system. From the point of view of customer needs, the piggyback system should be flexible, while providing conditions for high transport capacity and speed. To do this, it is necessary to solve a number of problems that would allow the exchange of piggyback trains on the way, without allowing the deterioration of other parameters of the system - mainly performance and speed. The most effective approach to solving these problems is to use the methodology of directed synthesis of complex systems. The peculiarity of this methodology is that it allows you to reach the predefined parameters of a complex system. The synthesized structure of the terminal to ensure highly efficient high-speed freight exchange in the organization of piggyback transport allows piggyback freight exchange at intermediate stations of their route in a minimum time without significantly reducing the route speed and carrying capacity of the system. KEYWORDS: PIGGYBACK TRANSPORTATION, FREIGHT TERMINALS, DIRECTED SYNTHESIS OF SYSTEMS.

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