Editorial: Dynamic Scheduling Problems
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EDITORIAL
Editorial: Dynamic Scheduling Problems Alessandro Agnetis1 · Stanisław Gawiejnowicz2
· Bertrand Miao-Tsong Lin3 · Gur Mosheiov4
Accepted: 16 September 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
This special issue of the Journal of Scheduling contains selected papers submitted in response to an open call for papers announced after the Second International Workshop on Dynamic Scheduling Problems (IWDSP 2018), held in June 2018, at the Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Pozna´n, Poland. It was the second IWDSP workshop, following the IWDSP 2016 workshop held at the same faculty two years earlier. The third workshop in the series, IWDSP 2020, was to be held in June 2020, but in view of the COVID-19 pandemic it has been postponed until 2021. The IWDSP 2018 workshop, similarly to its predecessor, focused on dynamic scheduling problems, in which job processing times, machine speeds and other parameters of the problems are variable and dynamically change in time. The organization of both these events was supported by Adam Mickiewicz University, Pozna´n. Extended abstracts of the papers presented at the workshops were published by the Polish Mathematical Society; their electronic versions are available at the websites https://iwdsp2016.wmi.amu.edu.pl and https://iwdsp2018.wmi.amu.edu.pl. We received 18 submissions to this special issue, written by authors from Belarus, the People’s Republic of China, Israel, Italy, Poland, the Russian Federation, Switzerland and
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Stanisław Gawiejnowicz [email protected] Alessandro Agnetis [email protected] Bertrand Miao-Tsong Lin [email protected] Gur Mosheiov [email protected]
1
Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Siena, Siena, Italy
2
Faculty of Mathematics an Computer Science, Adam Mickiewicz University, Pozna´n, Poland
3
Institute of Information Management, National Chiao Tung University, Hsinchu, Taiwan
4
The Jerusalem School of Business Administration, The Hebrew University of Jerusalem, Jerusalem, Israel
the United Kingdom. In order to ensure the highest quality of papers, all submissions have undergone the standard peer reviewing process of the Journal of Scheduling. As a result of this process, 10 submissions were accepted for publication. The papers included in this special issue concern scheduling deteriorating jobs, scheduling with learning effects, energy-efficient scheduling, scheduling in data-gathering networks, scheduling under uncertainty, scheduling with job rejection, and dynamic pickup and delivery problems with time windows. They span a wide range of applications of dynamic scheduling problems in production environments, manufacturing systems and service management. The content of the papers is as follows. In the paper ‘Scheduling in data gathering networks with background communications’, Berli´nska considers a scheduling problem in star data gathering networks with background communications. She proves strong N P-hardness of th
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