Multimode time-cost-robustness trade-off project scheduling problem under uncertainty

2020 ◽  
Author(s):  
Xue Li ◽  
Zhengwen He ◽  
Nengmin Wang ◽  
Mario Vanhoucke
Keyword(s):  
Project Scheduling ◽  
Scheduling Problem ◽  
Time Cost ◽  
Trade Off ◽  
Project Scheduling Problem

scholarly journals A Scenario Based Stochastic Time-Cost-Quality Trade-Off model for Project Scheduling Problem

2014 ◽  
Vol 2 (5) ◽  
pp. 7-12
Author(s):  
Hêriş Golpîra
Keyword(s):  
Project Scheduling ◽  
Scheduling Problem ◽  
Computational Results ◽  
Time Cost ◽  
New Approach ◽  
Trade Off ◽  
Optimization Formulation ◽  
Project Scheduling Problem ◽  
Multi Phase ◽  
Stochastic Time

This paper formulates a new time–cost trade-off problem under some uncertainties for a multi-phase project. To do this, a new approach is proposed based on goal programming in compliance with scenario-based stochastic optimization formulation. To the best of our knowledge, this problem has not been extensively treated in the literature. Computational results show the applicability and usefulness of the proposed method.

Scheduling Models for Setup Reduction

1997 ◽  
Vol 119 (4A) ◽  
pp. 571-579 ◽  
Author(s):  
Chang-Xue (Jack) Feng ◽  
Andrew Kusiak ◽  
Chun-Che Huang
Keyword(s):  
Linear Programming ◽  
Cycle Time ◽  
Project Scheduling ◽  
Setup Time ◽  
Factorial Analysis ◽  
Programming Models ◽  
Scheduling Problem ◽  
Trade Off ◽  
Project Scheduling Problem ◽  
Scheduling Models

The reduction of setup time has a significant impact on shortening manufacturing cycle time. In this paper, characteristics of setup activities are investigated, and models for sequencing setup activities are discussed. Sequencing setup activities can be modeled as a project scheduling problem. Two basic linear programming models for scheduling setup activities are presented. The models minimize the setup time (in particular, the internal setup time), and make a trade-off between the time and cost of setup activities with limited machining resources and budget. Factorial analysis is used to provide insights into the minimization of internal setup time.

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