Non-overlapping Sequence-Dependent Setup Scheduling with Dedicated Tasks

Author(s):  
Marek Vlk ◽  
Antonin Novak ◽  
Zdenek Hanzalek ◽  
Arnaud Malapert
2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Mustafa A. Qamhan ◽  
Ammar A. Qamhan ◽  
Ibrahim M. Al-Harkan ◽  
Yousef A. Alotaibi

An evolutionary discrete firefly algorithm (EDFA) is presented herein to solve a real-world manufacturing system problem of scheduling a set of jobs on a single machine subject to nonzero release date, sequence-dependent setup time, and periodic maintenance with the objective of minimizing the maximum completion time “makespan.” To evaluate the performance of the proposed EDFA, a new mixed-integer linear programming model is also proposed for small-sized instances. Furthermore, the parameters of the EDFA are regulated using full factorial analysis. Finally, numerical experiments are performed to demonstrate the efficiency and capability of the EDFA in solving the abovementioned problem.


2017 ◽  
Vol 107 (04) ◽  
pp. 282-287
Author(s):  
F. Engehausen ◽  
H. Prof. Lödding

Viele Unternehmen nutzen Rüstzyklen, um Rüstaufwände bei besonders reihenfolgeabhängigen Rüstzeiten zu verringern und nehmen dafür höhere Bestände und Durchlaufzeiten in Kauf. Rüstzykluskennlinien gestatten es, diesen Zielkonflikt zu modellieren und übersichtlich darzustellen. Dieser Fachartikel erklärt, welche Größen einen besonderen Einfluss auf den Verlauf der Kennlinien haben und wie diese in die Modellierung integriert werden.   In the case of sequence-dependent setup times many companies use setup cycles to reduce setup costs accepting higher WIP levels and throughput times. Logistic operating curves for setup cycles enable the illustration of this trade-off and a logistic positioning. This article explains which variables have a particular influence on the characteristics of the operating curves and how they are integrated into the modeling.


Sign in / Sign up

Export Citation Format

Share Document