1) Simulation modeling creates a simplified representation of a complex system to experiment with different designs and parameters in order to improve the system. It describes the system structure and behavior over time through generated histories. 2) Arena is a simulation software that will be used for this project. It plays a role in manufacturing and service industries by modeling existing situations and testing improvement scenarios. Arena uses the SIMAN language for efficient and persistent model development and statistics. 3) The five steps to using Arena are: create a basic model, refine with real data, simulate to verify and identify bottlenecks, analyze automatic reports on decision criteria, and select best alternatives by comparing scenario results. Models are built in Arena using basic process modules.

1. ProjectTitle: Production Line Balancing in the Lasting sectionusing
Simulation software

2. Production line balancing in the lasting sectionusing simulation software
3.1 Introduction
Simulation modeling is a common paradigm for analyzing complex systems. In a nutshell, this
paradigm creates a simplified representation of a system under study. The paradigm then
proceeds to experiment with the system, guided by a prescribed set of goals, such as improved
system design, cost–benefit analysis, sensitivity to design parameters, and so on.
Experimentation consists of generating system histories and observing system behavior over
time, as well as its statistics. Thus, the representation created describes system structure, while
the histories generated describe system behavior.
There are too many simulation modeling software’s one of them that will be applied in the
project is Arena. Arena plays a significant role in manufacturing as well as service giving
industries by capturing the existing situation and facilitating possible scenarios for further
improvement. Arena uses SIMAN one of process oriented simulation language which makes it
time saving and develop time persistent statistics while constructing complex model. Arena
software has five easy steps to be followed. They are:
1. Create a basic model: building model of the process and connecting them to define
process flow.
2. Refine the model: adding a real-world data.
3. Simulate the model: run the simulation to verify that the model properly reflects the
actual system and identify the bottlenecks.
4. Analyze simulation result: Arena provides automatic reports on common decision
criteria.
5. Select the best alternatives: make changes to the model to capture the possible scenarios
then compare the results.
To build models with Arena will be using modeling shapes called modules from the basic
process panel to define the process.