Abstract

This paper describes a simulation-based intelligent decision support system (IDSS) for real time control of a flexible manufacturing system (FMS) with machine and tool flexibility. The manufacturing processes involved in FMS are complicated since each operation may be done by several machining centers. The system design approach is built around the theory of dynamic supervisory control based on a rule-based expert system. The paper considers flexibility in operation assignment and scheduling of multi-purpose machining centers which have different tools with their own efficiency. The architecture of the proposed controller consists of a simulator module coordinated with an IDSS via a real time event handler for implementing inter-process synchronization. The controller’s performance is validated by benchmark test problem.

Highlights

  • A flexible manufacturing system (FMS) architecture can be characterized as a set of multi-purpose machine tools connected by automatic material handling and tool transportation devices

  • This paper describes a simulation-based intelligent decision support system (IDSS) for real time control of a flexible manufacturing system (FMS) with machine and tool flexibility

  • The first step to estimate the performance criteria of FMS is assigning the operations Oij to machining centers and extracting the set OSMkl(t) includes operations processed on M/Ck until t

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Summary

Introduction

A flexible manufacturing system (FMS) architecture can be characterized as a set of multi-purpose machine tools connected by automatic material handling and tool transportation devices. Any material handling system has a mechanism to transport parts and tools automatically These systems can transfer tools among tool magazines and the central tool storage area while the system is in operation [3,4]. Control framework has been studied on FMSs in the literature and there are different methods for selecting the most appropriate control policies at each decision point [8,9,10,11,12,13,14,15] These strategies deal with the allocation of jobs to multi-purpose machining centers which have to be made in a flexible way.

Adaptive Control Mechanism
FMS Shop Floor Flexibility Control Functions
FMS Configuration Parameters
Simulation-Based Intelligent Decision Support System
Evaluation Mechanism
Rule Production for FMS Real Time Simulation-Based Controller
Experimental Study
Conclusions
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