Enriched workflow modelling and Stochastic Branch-and-Bound |
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| Institution: | 1. Department of Business Studies, University of Vienna, Bruenner Strasse 72, A-1210 Vienna, Austria;2. Department of Statistics and DSS, University of Vienna, Universitaetsstrasse 5, A-1010 Vienna, Austria;3. Department of Telecooperation, University of Linz, Altenberger Strasse 69, A-4040 Linz, Austria;4. Department of Business Information Systems, University of Vienna, Rathausstrasse 19, A-1080 Vienna, Austria;1. Department of Industrial Engineering, Tunceli University, 62000 Tunceli, Turkey;2. Department of Industrial Engineering, Yildiz Technical University, 34349 ?stanbul, Turkey;1. Management and Strategy Department, Paris School of Business, 59 Rue Nationale, Paris 75013, France;2. Department of Decision Sciences, College of Business, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132, USA;3. Department of Operations Management and Information Technology, HEC School of Management, 1 Rue de la Libération, Paris, 78350 Jouy-en-Josas, France;1. Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Switzerland;2. Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montréal, Québec, Canada, H3C 347;1. Mathematical Institute, Serbian Academy of Sciences and Arts, Kneza Mihaila 36/III, 11 000 Belgrade, Serbia;2. Faculty of Mathematics, University of Belgrade, Studentski trg 16, 11 000 Belgrade, Serbia |
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| Abstract: | Workflow systems provide means and techniques for modelling, designing, performing and controlling repetitive (business) processes. The quality of commercial workflow systems is usually determined to a large extent by their versatility and multi-purpose application. One of the current trends in improving workflow systems lies in enriching modelling methods and techniques in order to enlarge design alternatives.The need for such advanced methods is particularly apparent in those fields in which the process duration can be determined only vaguely, but whose completion schedules are at the same time strictly enforced by a highly competitive market by means of fines and penalties. The risk of an overrun has to be weighed against the expected costs and benefits of certain measures reducing turn-around time and their combinations. Because they can help to avoid such penalties—or, at least, keep any potential losses low by identifying critical subprocesses and evaluate appropriate measures—modelling and evaluation techniques are becoming essential features of workflow systems.Methodologically, we use Stochastic Branch-and-Bound as a technique for finding “optimal” bundles of measures. A numerical study shows the benefits of this meta-approach by means of five stepwise-developed decision scenarios requiring rich modelling. Petri nets as a modelling tool and Stochastic Branch-and-Bound as an optimization technique determine for multi-mode resource constrained workflows of varying complexity an optimal workforce strategy with respect to the number of workers and their qualification. |
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