Unleashing Manufacturing Potential: A Simulation-Based Journey Towards Optimal Efficiency

Sara Shafiee*, Sarantis Ladikos

*Corresponding author for this work

Research output: Contribution to journalConference articleResearchpeer-review

29 Downloads (Pure)

Abstract

In the increasingly competitive landscape of manufacturing, companies are continuously striving to enhance their production processes, minimize expenses, and uphold exceptional quality standards. A valuable approach to achieving these objectives involves the utilization of plant simulation software which enables businesses to analyze, plan, and simulate their manufacturing operations, facilitating optimization and cost reduction while maintaining superior quality levels. This study aims to explore the application of plant simulation in a large company, with a focus on identifying areas for optimization and increased efficiency of the whole product lifecycle. The research will involve simulating a real-life manufacturing process, including both production and service kits, using simulation software. The performance of the simulated plant system will be analyzed to evaluate its effectiveness. By doing so, this study will contribute to the existing knowledge base of product lifecycle management and plant simulation and provide valuable insights to manufacturers seeking to enhance their production processes and achieve their business objectives. Furthermore, it will showcase the capabilities and accuracy of plant simulation technologies, equipping manufacturers with the necessary information to make informed decisions regarding future production goals and estimates.
Original languageEnglish
JournalProcedia CIRP
Volume122
Pages (from-to)37–42
ISSN2212-8271
DOIs
Publication statusPublished - 2024
Event31st CIRP Conference on Life Cycle Engineering - Turin, Italy
Duration: 19 Jun 202421 Jun 2024

Conference

Conference31st CIRP Conference on Life Cycle Engineering
Country/TerritoryItaly
CityTurin
Period19/06/202421/06/2024

Keywords

  • Simulation
  • Optimization
  • Digital Twins Manufacturing
  • Plant
  • Product Lifecycle Management

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