Abstract

Increasing competition strongly influence a company that is looking for the efficient method of production control. Companies expand their production flexibility and control method in the whole value chain. In this paper, authors propose a new description of the production inspired by the multiscale modelling. In particular, the idea based on the modelling of concurrent cyclic processes and the ability to use this approach in complex production systems is presented. This paper also discusses modelling and simulation of multiscale production flows using the Activity-Oriented Petri Nets.

Highlights

  • Success of every firm depends on effective utilisation of its resources Recently the competitive advantages, are not in the monthly, quarterly and annual aggregated level of production flexibility but on a daily and weekly basis on the market–driven flexibility [1]

  • The problem of planning the production flow in production systems belonging to the class of Cyclic Concurrent Processes Systems (CCPS) is considered (Fig. 2)

  • No of producer on l-th level, common multiplicity of cycles, cycle time of s-th system on l-th level, the repetitiveness of the dispatching rule allocated on the i-th machine of s-th system on l-th level, the repetitiveness of the j-th process in the dispatching rule allocated on the i-th machine of s-th system on l-th level, No of levels

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Summary

Introduction

Success of every firm depends on effective utilisation of its resources (machines, finances, employee skills, etc.) Recently the competitive advantages, are not in the monthly, quarterly and annual aggregated level of production flexibility but on a daily and weekly basis on the market–driven flexibility [1]. This approach is observed in the automotive industry, which adapts flexible manufacturing systems. It is combination of multiscale idea known from material science and multi-assortment rhythmic production elaborated by authors of this paper in recent years

Multiscale in production
Rhythmic production modelling
Balance condition
Interoperation buffers allocation
Modelling with GPenSIM
Conclusions
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