An upcoming special issue in Computers & Industrial Engineering aims to publish innovative approaches for the integration of learning and forgetting curves into mathematical models, simulation approaches or decision support models with a special focus on logistics and production and operations management. The special issue looks especially for works that develop quantitative models based on empirically collected data on learning and forgetting. In addition, authors are invited to submit novel applications of learning curves in particular for specific industries or environments (individual, group and organizational learning).
The submission deadline is September 30, 2017. Submissions to the special issue will be processed immediately upon receipt. The Special Issue is scheduled for publication in 2018.
The Special Issue Editors are Prof. Christoph H. Glock, TU Darmstadt, Germany, Managing Guest Editor, Dr. Eric H. Grosse, TU Darmstadt, Germany, Prof. Mohamad Y. Jaber, Ryerson University, Canada, and Prof. Timothy L. Smunt, University of Wisconsin, USA.
Please see the attached call for paper or this link https://www.journals.elsevier.com/computers-and-industrial-engineering/call-for-papers/novel-applications-of-learning-curves-in-production-planning for more information.
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Timothy L. Smunt | Professor
Sheldon B. Lubar School of Business
University of Wisconsin-Milwaukee
P.O. Box 742 | Milwaukee, WI 53201
414/229-3233 (office)
* tsmunt@uwm.edu