Abstract

The paradigm of reconfigurable manufacturing systems (RMSs) is still relatively new in implementation, even though research into the subject has been ongoing for over 15 years. Many supporting technologies are needed to make RMSs feasible, including the addition of flexible fixturing. This paper investigates and discusses the effect of adding flexible fixturing to the reconfigurable paradigm, and proposes solutions to problems that are inherent in RMSs and in the addition of flexible fixturing.

Highlights

  • The modern manufacturing industry experiences frequent and unpredictable changes in the marketplace that have driven the development of agile manufacturing systems [1]

  • This paper investigates and discusses the effect of adding flexible fixturing to the reconfigurable paradigm, and proposes solutions to problems that are inherent in reconfigurable manufacturing system (RMS) and in the addition of flexible fixturing

  • This paper shows how the use of flexible control, artificial intelligence, and automated flexible fixturing can decrease the penalty of change (POC), improving the flexibility of the system without sacrificing productivity

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Summary

Introduction

The modern manufacturing industry experiences frequent and unpredictable changes in the marketplace that have driven the development of agile manufacturing systems [1]. There has been a movement in research towards the responsiveness and practical implementation of agile mass production systems, starting with the introduction of the reconfigurable manufacturing system (RMS) [2]. Since the introduction of practical agile systems, there has been intensive research into enabling technologies and different forms or adaptations of the reconfigurable manufacturing system. Recent research has been done to accelerate the reconfiguration process [1] to allow an RMS to make more frequent changes and become more agile [3]. The accelerated RMS does not take as long to reconfigure, which means less downtime. Shorter production runs are needed to recoup the losses in production time during a reconfiguration

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