International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023
p-ISSN: 2395-0072
www.irjet.net
Optimizing Facility Layout Through Simulation Vilas S. Teli1, Vijay S. Bilolikar2, Arun B. Rane3 1Post Graduate Student, FR.C.R. College Of Engineering ,Mumbai, Maharastra 2Professor, FR.C.R. College Of Engineering ,Mumbai, Maharastra
3 Professor, FR.C.R. College Of Engineering ,Mumbai, Maharastra
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Abstract - A greater emphasis is being placed on
The goal is to pinpoint areas that could use improvement and choose a facility plan that maximises overall efficiency, maximises resource utilisation, and minimises production bottlenecks.
sophisticated manufacturing systems to increase productivity and reduce costs as a result of increased competitiveness in many industries. A well-liked technique for planning and assessing the functioning of these intricate and dynamic systems is simulation modelling. In order to better meet user needs, this study examines the characteristics of conventional industrial simulators. An actual assembly line manufacturing system was used in a case study to evaluate software. Different simulators were used to produce a variety of simulation models, and a thorough evaluation framework was constructed to make it easier to choose simulation software for industrial system modelling. Based on the aims of the programme, such as use in education or industry, various hierarchies of evaluation criteria were created. In addition, a survey was carried out to learn what users thought of simulation software and what features they wanted. A technique for choosing simulation software was developed, including instructions for the evaluation and selection procedures. The results led to recommendations for improving manufacturing simulations for both educational and commercial use. By lowering the time and effort needed to construct simulation models, these software improvements hope to increase the use of simulation as a tool.
The study offers important insights and suggestions to guide decision-making on facility design and layout optimisation by utilising the capabilities of simulation software. The results of this study can help management and technical teams make wise decisions to raise the manufacturing plant's productivity and competitiveness. In the end, adopting an optimised facility layout could result in higher resource utilisation, streamlined production procedures, and improved overall performance and profitability. It is significant to emphasise that the scope of this study is restricted to the manufacturing process at the Godrej and Boyce facility in Mumbai, with a focus on the Global Safe product. However, the research's approach and conclusions can be extended to many manufacturing facilities and sectors, offering a useful framework for facility layout optimisation and performance enhancement.
2. RESEARCH OBJECTIVE The research project includes a number of goals intended to analyse and enhance the global safe manufacturing system. These goals comprise:
Key Words: Optimization, Simio, Discrete Event Simulation, Simulation Model, ARENA, Facilities, Layout.
1.INTRODUCTION
1. Data Collection and Analysis: The first goal is to collect and examine the information needed to accurately model the Global Safe production process. This entails gathering pertinent data on a range of topics, including operational metrics, resource utilisation, inventory levels, and production processes.
The study also emphasises the role that facility design plays in improving operational performance and production efficiency. The existing design, which mainly relies on manual labour, might be constrained in terms of output, resource use, and potential bottlenecks. It is feasible to assess and contrast various layout configurations, including the addition of semi-automatic operations employing robotics, by using simulation software like ARENA.
2. Development of a Simulation Model: The next goal is to use ARENA software to create a computer simulation model of the Global Safe manufacturing system. By simulating actual manufacturing processes, this model will make it possible to assess how well the system performs in various situations and environmental factors.
The goal of the simulation study carried out as part of this research is to evaluate the effectiveness of the current manual-oriented arrangement and contrast it with the suggested semi-automatic layout. We'll analyse and evaluate key performance indicators for the two layout options, including production throughput, resource utilisation, cycle time, and inventory levels.
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3. Manufacturing System Behaviour Analysis: This study attempts to examine how Phase I and Phase II manufacturing systems behave in various situations. The goal of the study is to understand how the system responds to changes and spot
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