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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: sitek@tu.kielce.pl.
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
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