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[89220] Artykuł:

Resource constrained portfolio scheduling problem (RCPoSP): A hybrid approach

Czasopismo: Journal of Intelligent & Fuzzy Systems   Tom: 2019, Zeszyt: 6, Strony: 1-15
ISSN:  1064-1246
Wydawca:  IOS PRESS, NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
Opublikowano: 2019
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Do oświadczenia
nr 3
Grupa
przynależności
Dyscyplina
naukowa
Procent
udziału
Liczba
punktów
do oceny pracownika
Liczba
punktów wg
kryteriów ewaluacji
Jarosław Wikarek orcid logo WEAiIKatedra Systemów Informatycznych *Niezaliczony do "N"Informatyka techniczna i telekomunikacja3370.0040.42  
Paweł Sitek orcid logo WEAiIKatedra Systemów Informatycznych *Takzaliczony do "N"Automatyka, elektronika, elektrotechnika i technologie kosmiczne3370.0040.42  
Grzegorz Bocewicz Niespoza "N" jednostki33.00.00  

Grupa MNiSW:  Publikacja w czasopismach wymienionych w wykazie ministra MNiSzW (część A)
Punkty MNiSW: 70
Klasyfikacja Web of Science: Article


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Keywords:

Resource constrained scheduling  constraint satisfaction problem  constraint logic programming  mathematical programming  decision support  group scheduling  fact-based representation  hybrid methods  



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.