Litcius/Paper detail

Evaluating Flexible Manufacturing System Selection Using Decision Making Tools

Vidhya Prasanth

2026Journal on Electronic and Automation Engineering5 citationsDOI

Abstract

Flexible Manufacturing System (FMS) selection is a critical decision-making process for organizations aiming to enhance their manufacturing capabilities and adapt to changing market dynamics. With the increasing complexity of production requirements and the need for agile responses, selecting the most suitable FMS becomes crucial for achieving competitive advantage. This abstract provides a concise overview of the key considerations and challenges involved in FMS selection. It highlights the importance of aligning FMS capabilities with organizational goals, optimizing resource utilization, evaluating technological compatibility, and assessing financial feasibility. Additionally, it emphasizes the significance of considering factors such as system scalability, modularity, and integration with existing manufacturing infrastructure. The abstract aims to offer a glimpse into the multifaceted nature of FMS selection and provides a foundation for further exploration of this topic. Research Significance: The research on Flexible Manufacturing System (FMS) selection holds significant importance in the field of manufacturing and operations management. The selection of an appropriate FMS is a complex and strategic decision that can significantly impact an organization's competitiveness, productivity, and overall operational performance. Therefore, understanding the significance of FMS selection research is crucial. Research on FMS selection plays a crucial role in guiding organizations towards the adoption of suitable and effective manufacturing systems. By addressing various factors and challenges associated with FMS selection, this research contributes to improved decision-making, enhanced operational performance, and competitiveness in the dynamic manufacturing landscape. Methodology: In this research we will be using GRA method. Alternative parameters: We have taken as alternatives are FMS1, FMS2, FMS3, FMS4, FMS5, FMS6, FMS7, FMS8. Evaluation parameters: We have taken as evaluation parameters are Required floor space (m^ {2}), Work-in process (units), Volume flexibility, Expansion flexibility, product flexibility, Quality improvements, capital and operating cost ($ millions), Lead time reduction. Result: out of all the 8 alternatives, alternative 3 gets first rank in Flexible Manufacturing System. Conclusion: With the GRA method we are able to find the best project in Flexible Manufacturing System has been evaluated with various parameters and methodology.

Topics & Concepts

Agile manufacturingSelection (genetic algorithm)Process (computing)Computer-integrated manufacturingFlexible manufacturing systemAgile software developmentManufacturingResource (disambiguation)Integrated Computer-Aided ManufacturingAdvanced manufacturingProduction (economics)Field (mathematics)Manufacturing engineeringKey (lock)Process managementEngineeringComputer scienceProcess development execution systemManufacturing execution systemCompetitive advantageSystems engineeringRisk analysis (engineering)Decision support systemAdaptation (eye)Management scienceResource allocationFlexible and Reconfigurable Manufacturing SystemsDigital Transformation in IndustryCollaboration in agile enterprises