Adaptive Scheduling Model in Hybrid Flowshop Production Control using Petri Net

Hao, Hu

doi:10.14257/ijca.2015.8.1.21

Cited by 2 publications

(1 citation statement)

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“…For the above reasons, recently, scheduling and the more general topic of scheduling under uncertainty have attracted the interest of many researchers (Guo 2006) an operation to be processed by any machine from a given set. The problem is to assign each operation to a machine and to order the operations on the machines, such that the maximal completion time (makespan) of all operations is minimized (Kacem et al 2002;Hu 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Dispatching algorithm for production programming of flexible job-shop systems in the smart factory industry

et al. 2017

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In today highly competitive and globalized markets, an efficient use of production resources is necessary for manufacturing enterprises. In this research, the problem of scheduling and sequencing of manufacturing system is presented. A flexible job shop problem sequencing problem is analyzed in detail. After formulating this problem mathematically, a new model is proposed. This problem is not only theoretically interesting, but also practically relevant. An illustrative example is also conducted to demonstrate the applicability of the proposed model

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Section: Literature Reviewmentioning

confidence: 99%

Dispatching algorithm for production programming of flexible job-shop systems in the smart factory industry

et al. 2017

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An efficiency improvement of flexible flow shop scheduling in automotive part company

Fangrit

Yap

Hamza

et al. 2021

IDT

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Flexible flow shop is becoming more interested and applied in industries due to its impact from higher workloads. Flexible flow shop scheduling problem is focused to minimize the makespan. A metaheuristic model based on Hybrid Tabu Search is developed to overcome this problem. Firstly, Hybrid Tabu Search is modelled based on the factory data. The Earliest Due Date rule is used as the scheduling method for the current status. FlexSim simulation software is used to evaluate the Hybrid Tabu Search model. The outcome is validated with two different basic heuristic solutions; Campbell, Dudek and Smith’s and Gupta’s heuristics. It is found that the proposed model can improve the job sequence based on makespan criteria.

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Adaptive Scheduling Model in Hybrid Flowshop Production Control using Petri Net

Abstract: Abstract

Cited by 2 publications

References 10 publications

Dispatching algorithm for production programming of flexible job-shop systems in the smart factory industry

Dispatching algorithm for production programming of flexible job-shop systems in the smart factory industry

An efficiency improvement of flexible flow shop scheduling in automotive part company

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