Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Special Section: Collective intelligence in information systems
Guest editors: Ngoc Thanh Nguyen, Edward Szczerbicki, Bogdan Trawiński and Van Du Nguyen
Article type: Research Article
Authors: Wikarek, Jarosława | Sitek, Paweła; * | Bocewicz, Grzegorzb
Affiliations: [a] Department of Information Systems, Kielce University of Technology, Poland | [b] Faculty of Electronics and Computer Science, Koszalin University of Technology, Poland
Correspondence: [*] Corresponding author. Jarosław Wikarek, Department of Information Systems, Kielce University of Technology, Poland. E-mail: [email protected].
Abstract: The resource constrained portfolio scheduling problem (RCPoSP), in which orders are grouped in portfolios, is proposed in this study. In the RCPoSP the objective is to deliver all orders in the portfolio at the same time after processing. This problem finds many applications in industrial services, manufacturing companies and, where all items (products, services, items etc.) ordered by the customer have to be delivered at the same time in one lot. The goal is to reduce the delivery costs and/or that all elements of the delivery have the same priority, etc. The presented problem also concerns the scheduling of new orders in project portfolios and/or a new project portfolio etc. The minimizations of makespan and/or resource needs for the portfolio are also discussed. The authors present a reference model for the RCPoSP and an intelligent framework for modeling and solving the modeled problem based on the original hybrid approach. The opportunity to ask questions, receive answers as well as data representation in the form of facts constitute an invaluable intelligent support to users utilizing this framework. The goal is to provide an intelligent hybrid framework for stating and solving constraint satisfaction or optimization of RCPoSPs. The calculation examples illustrate the capabilities and computational efficiency of the proposed framework.
Keywords: Resource constrained scheduling, constraint satisfaction problem, constraint logic programming, mathematical programming, decision support, group scheduling, fact-based representation, hybrid methods
DOI: 10.3233/JIFS-179364
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7579-7593, 2019
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]