An interval-stochastic programming based approach for a fully uncertain multi-objective and multi-mode resource investment project scheduling problem with an application to ERP project implementation

•A fully uncertain multi-mode RIPSP under mixed interval and stochastic uncertainty.•A hybrid interval programming and chance constrained optimization based approach.•Compromise solutions to the tradeoff between makespan and human resource costs.•A real-life application for an ERP implementation pro...

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Veröffentlicht in:	Expert systems with applications Jg. 149; S. 113189
1. Verfasser:	Subulan, Kemal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.07.2020 Elsevier BV
Schlagworte:	Chance-constrained programming Enterprise resource planning ERP project management Human resource allocation Human resources Integer programming Interval programming Investment Motivation Optimization Parameter uncertainty Project management Randomness Reliability aspects Resource investment project scheduling Resource scheduling Risk attitude Schedules Scheduling Stochastic programming Interval programming Chance-constrained programming Resource investment project scheduling Human resource allocation Risk attitude ERP project management
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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