Automation in Manufacturing
102605Module 6: Introduction to Modeling and Simulation
Q1(g). Can we simulate transportation, manufacturing and health system?20222m
Module 6: Introduction to Modeling and Simulation
View this question on its own page →Can we simulate transportation, manufacturing and health system?
Worked SolutionAnswer
Yes. Transportation, manufacturing and health-care systems can be simulated using mathematical/computer models. Simulation helps study system behaviour, test alternatives and predict performance without experimenting directly on the real system.
Q1(i). Which technique is used for solution of nonlinear programming?20222m
Module 6: Introduction to Modeling and Simulation
View this question on its own page →Which technique is used for solution of nonlinear programming?
Worked SolutionAnswer
Nonlinear programming can be solved using iterative numerical optimization techniques, such as the gradient (steepest-descent) method, Newton's method, or sequential quadratic programming (SQP). The appropriate method depends on the objective function and constraints.
Q8(a). Explain system modelling. Write differences between continuous and discrete event.202214m
Module 6: Introduction to Modeling and Simulation
View this question on its own page →Explain system modelling. Write differences between continuous and discrete event.
Worked SolutionAnswer
System modelling
System modelling is the process of developing a mathematical, logical or computer representation of a real system so that its structure, behaviour and interactions can be studied. A model contains the important entities, variables, relationships, inputs and outputs of the actual system.
Continuous vs. discrete-event systems
Continuous system Discrete-event system State variables change continuously with time. State changes occur at specific points/events. Usually represented using differential/algebraic equations. Usually represented using event logic, state transitions and queues. Time advances continuously. System state changes when an event occurs. Example: temperature variation, fluid level, motor speed. Example: arrival/departure of jobs, machine failure/repair, production-line queues. In short: Continuous simulation tracks continuously varying quantities, whereas discrete-event simulation tracks changes caused by individual events.