Production Planning Using Time Windows for Short-Term Multipurpose Batch Plants Scheduling Problems

2000 ◽  
Vol 39 (10) ◽  
pp. 3823-3834 ◽  
Author(s):  
Maria Teresa M. Rodrigues ◽  
Luis G. Latre ◽  
Luiz Carlos A. Rodrigues
1999 ◽  
Vol 23 ◽  
pp. S551-S554 ◽  
Author(s):  
Maria Teresa M. Rodrigues ◽  
Luis Gimeno ◽  
Luis A. Rodrigues
Keyword(s):  

2000 ◽  
Vol 24 (2-7) ◽  
pp. 353-359 ◽  
Author(s):  
Luiz Abreu Rodrigues ◽  
Moisès Graells ◽  
Jordi Cantón ◽  
Luis Gimeno ◽  
Maria Teresa M. Rodrigues ◽  
...  

2018 ◽  
Vol 108 (03) ◽  
pp. 137-142
Author(s):  
J. Atug ◽  
S. Braunreuther ◽  
G. Reinhart

Starke Nachfrageschwankungen insbesondere in der auftragsbezogenen Produktion sowie die Forderung nach kürzeren Lieferzeiten und höherer Termintreue führen zu erhöhten Anforderungen an die zukünftige Produktion. Um diesen Anforderungen gerecht zu werden, bedarf es dynamischer Produktionsnetzwerke. In diesem Fachbeitrag wird eine Methode zur kurzfristigen Anpassung von Produktionsnetzwerken durch Rekonfiguration in der auftragsbezogenen Produktion vorgestellt.   Increasing demand volatility in order-based production as well as the need of shorter delivery times and high adherence to schedules leads to high requirements of the future production. To meet these essential requirements dynamic production networks are needed. In this technical contribution a production planning approach of short-term reconfiguration of production networks in the order-based production is given.


2004 ◽  
Vol 47 (5) ◽  
pp. 318-325 ◽  
Author(s):  
Sukoyo ◽  
Shinobu Matsuoka ◽  
Masaki Muraki

2020 ◽  
Author(s):  
Gian Maria Campedelli ◽  
Alberto Aziani ◽  
Serena Favarin

This work investigates whether and how COVID-19 containment policies had an immediate impact on crime trends in Los Angeles. The analysis is conducted using Bayesian structural time-series and focuses on nine crime categories and on the overall crime count, daily monitored from January 1st 2017 to March 28th 2020. We concentrate on two post-intervention time windows—from March 4th to March 16th and from March 4\textsuperscript{th} to March 28th 2020—to dynamically assess the short-term effects of mild and strict policies. In Los Angeles, overall crime has significantly decreased, as well as robbery, shoplifting, theft, and battery. No significant effect has been detected for vehicle theft, burglary, assault with a deadly weapon, intimate partner assault, and homicide. Results suggest that, in the first weeks after the interventions are put in place, social distancing impacts more directly on instrumental and less serious crimes. Policy implications are also discussed.


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