Skip to main content

Simulation Software





Discuss the following periods in simulation history?


a. The period of Search: Simulation was conducted in FORTRAN and other gernal purpose languages. No specific simulation specific routines. Much effort was on expanding searcn for unifying concepts and the development of reusable routines to facilitate simulation(1955-60)

b Advent : It is the period of forerunners of SPL we use today(1961-65)

GPSS developd by Geoffery Gordon at IBM and appeared in 1961. General Purpose Simulation system was developed for quick simulation of communication and computer system. It is a block disgram based representation (similar to process flow diagram) and suited for queuing models.


Phillip J Kiviat developed GASP (General Activity based simulation program). Originally it was based on GPL ALGOL but later based on FORTRAN.

other SPL developed are SIhMULA(extension of ALGOL)

c. The Formative period (from 1966-1970)

Concepts were reviewed adn refined to promote more consistent representation of each language 's world view.

SIMSCRIPT II represents major advancement in SPLs. In its free form english like language.


d. The Expansion period (from 1971-1978)

Improvement in GPSS. Inclusion of interactive debugger. Efforts made to simplify modeling process. Using simula an attempt was made to develop system definition from high level user perspective that could be translated automatically in an executable format.

e. Consolidation and Regeneration

This period from 1979 GASP appeared SLAM II and SIMAN

SLAM II(Simulation language for alternative modeling) produced by Prisker and Associates.

for providing multiple modeling perspectives and combined modeling capabilities. Event scheduling persective and a noetwork world view and continuous component.

f. Integrated Environment

Availability of SPL for personal computers, GUI ,animation and other visulaization tools,input/output analyzers. use of process flow or block diagram and reducing need to remeber syntax. Availability of 2 D /3D scale drawings





SIMAN

Comments

Popular posts from this blog

Advantages and Disadvantages of EIS Advantages of EIS Easy for upper-level executives to use, extensive computer experience is not required in operations Provides timely delivery of company summary information Information that is provided is better understood Filters data for management Improves to tracking information Offers efficiency to decision makers Disadvantages of EIS System dependent Limited functionality, by design Information overload for some managers Benefits hard to quantify High implementation costs System may become slow, large, and hard to manage Need good internal processes for data management May lead to less reliable and less secure data

Inter-Organizational Value Chain

The value chain of   a company is part of over all value chain. The over all competitive advantage of an organization is not just dependent on the quality and efficiency of the company and quality of products but also upon the that of its suppliers and wholesalers and retailers it may use. The analysis of overall supply chain is called the value system. Different parts of the value chain 1.  Supplier     2.  Firm       3.   Channel 4 .   Buyer

Big-M Method and Two-Phase Method

Big-M Method The Big-M method of handling instances with artificial  variables is the “commonsense approach”. Essentially, the notion is to make the artificial variables, through their coefficients in the objective function, so costly or unprofitable that any feasible solution to the real problem would be preferred, unless the original instance possessed no feasible solutions at all. But this means that we need to assign, in the objective function, coefficients to the artificial variables that are either very small (maximization problem) or very large (minimization problem); whatever this value,let us call it Big M . In fact, this notion is an old trick in optimization in general; we  simply associate a penalty value with variables that we do not want to be part of an ultimate solution(unless such an outcome is unavoidable). Indeed, the penalty is so costly that unless any of the  respective variables' inclusion is warranted algorithmically, such variables will ...