Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
The Research of Reducing Energy Consumption Method on WSN Based on the Data Correlation Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Preemptive Multi-mode Resource-Constrained Discrete Time-Cost-Resource Optimization via Non-dominated Sorting Genetic Algorithm

verfasst von : Wei-min Ma, Yang-yang Che, Hua Ke

Erschienen in: Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation

Verlag: Atlantis Press

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

With the current intense competitive circumstance, preemption is taken into consideration in project scheduling gradually, and multi-objective is providing new insights. For the purpose of practical relevance, a preemptive multi-mode resource-constrained discrete time-cost-resource optimization model (P-MRC-DTCRO) is presented in this paper. The integrated model provides interruption extension of the MRC-DTCRO model, which allows activity splitting. Accordingly, a modified non-dominated sorting genetic algorithm (NSGA-II) with preemption validity is proposed. A set of non-dominated schedules involving combinatorial optimization of completion time, cost and resource leveling is determined. This paper based on a valid algorithm provides new perspectives in both preemption and multi-objective problem, which is also propitious to decision-making in project construction.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel A Hybrid Random Bilevel Programming Model and Its PSO Based Algorithm
Nächstes Kapitel Implementing Enterprise Open Innovation Strategy by Effectively Collaborating with External Resources
Literatur
1.
Herroelen W, De Reyck B, Demeulemeester E (1998) Resource-constrained project scheduling: a survey of recent developments. Comput Oper Res 25(4):279–302MATHMathSciNetCrossRef
2.
Wang L, Fang C (2012) An effective estimation of distribution algorithm for the multi-mode resource-constrained project scheduling problem. Comput Oper Res 39(2):449–460CrossRef
3.
Li H, Zhang H (2013) Ant colony optimization-based multi-mode scheduling under renewable and nonrenewable resource constraints. Autom Constr 35:431–438CrossRef
4.
Vanhoucke M, Debels D (2007) The discrete time/cost trade-off problem: extensions and heuristic procedures. J Sched 10(4-5):311–326MATHCrossRef
5.
Zamani R (2013) An evolutionary search procedure for optimizing time-cost performance of projects under multiple renewable resource constraints. Comput Ind Eng 66(2):451–460MathSciNetCrossRef
6.
El-Rayes K, Jun DH (2009) Optimizing resource leveling in construction projects. J Constr Eng Manage 135(11):1172–1180CrossRef
7.
Geng J-Q, Weng L-P, Liu S-H (2011) An improved ant colony optimization algorithm for nonlinear resource-leveling problems. Comput Math Appl 61(8):2300–2305MATHCrossRef
8.
Ann L (1988) Resource-constrained project scheduling with preemption of jobs. Ph.D. dissertation, University of Michigan
9.
Demeulemeester EL, Herroelen WS (1996) An efficient optimal solution procedure for the preemptive resource-constrained project scheduling problem. Eur J Oper Res 90(2):334–348MATHMathSciNetCrossRef
10.
Buddhakulsomsiri J, Kim DS (2006) Properties of multi-mode resource-constrained project scheduling problems with resource vacations and activity splitting. Eur J Oper Res 175(1):279–295MATHCrossRef
11.
Ballestın F, Valls V, Quintanilla S (2008) Pre-emption in resource-constrained project scheduling. Eur J Oper Res 189(3):1136–1152
12.
Alsayegh H, Hariga M (2012) Hybrid meta-heuristic methods for the multi-resource leveling problem with activity splitting. Autom Constr 27:89–98CrossRef
13.
Tavana M, Abtahi A-R, Khalili-Damghani K (2014) A new multi-objective multi-mode model for solving preemptive time-cost-quality trade-off project scheduling problems. Expert Syst Appl 41(4):1830–1846CrossRef
14.
Xu J, Zheng H, Zeng Z, Wu S, Shen M (2012) Discrete time-cost-environment trade-off problem for large-scale construction systems with multiple modes under fuzzy uncertainty and its application to jinping-ii hydroelectric project. Int J Project Manage 30(8):950–966CrossRef
15.
Zahraie B, Tavakolan M (2009) Stochastic time-cost-resource utilization optimization using non-dominated sorting genetic algorithm and discrete fuzzy sets. J Constr Eng Manage 135(11):1162–1171CrossRef
16.
Ghoddousi P, Eshtehardian E, Jooybanpour S, Javanmardi A (2013) Multi-mode resource-constrained discrete time-cost-resource optimization in project scheduling using non-dominated sorting genetic algorithm. Autom Constr 30:216–227CrossRef
17.
Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: Nsga-ii. IEEE Trans Evol Comput 6(2):182–197CrossRef
Metadaten
Titel
Preemptive Multi-mode Resource-Constrained Discrete Time-Cost-Resource Optimization via Non-dominated Sorting Genetic Algorithm
verfasst von
Wei-min Ma
Yang-yang Che
Hua Ke
Copyright-Jahr
2016
Buch
Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation

Print ISBN: 978-94-6239-144-4

Electronic ISBN: 978-94-6239-145-1

Copyright-Jahr: 2016

DOI
https://doi.org/10.2991/978-94-6239-145-1_68