Abstract

Scheduling Flexible Manufacturing System (FMS) can increase production speed and accuracy. It because FMS has an ability to process various variety of product at same work station. However, FMS need efficient allocation of resources, for example: allocation of material handling equipment. This paper presents production scheduling FMS modelling to 24 jobs and 4 machines considering stacker crane. Coloured Petri Nets (CP-Nets) is the programming language which used to simulate model because it’s simplicity. This model consists two main model activities. The first one is Physical Activity (PA) which related to every activity that involve physical movement, including stacker crane processes. PA consist five CP-Nets models: loading/unloading station, stacker crane, machine, picking mechanism, and pallet stocker. The second activity is Logical Expression (LE) which related to the rules on how FMS should operate. LE consist three CP-Nets models: machine selection, pick-up request, and stage two procedure. A simulation and numerical report show utilization level of all machines around 80-84% and stacker crane 8,74%.

Highlights

  • The customer has very diverse demands in Industry 4.0 era and manufacturer is expected to have high production flexibility to satisfy those demands

  • If there were more than one workpieces at the loading/unloading station, it would be sorted based on the Shortest Processing Time (SPT) method

  • This paper showed an Flexible Manufacturing System (FMS) production scheduling simulation using Coloured Petri Nets (CPN)

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Summary

Introduction

The customer has very diverse demands in Industry 4.0 era and manufacturer is expected to have high production flexibility to satisfy those demands. Flexible Manufacturing System (FMS) is a manufacturing system with high production flexibility (Shivanand et al [1]; Majija et al [2]; Bohn and Jaikumar [3]). FMS can produce various products at the same workstation. FMS can adjust production volume based on demand. FMS needs adequate allocated resources as inputs to achieve these abilities. Those resources consist of CNC machine, fixture, tool magazines, tool, automated material handling, and buffer. Based on Setiawan et al [4], all those resources need maintenance schedule, to minimize any interruption in the production processes

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