An improved multi-mode resource allocation and project scheduling model

2008 ◽  
Author(s):  
Maryam Haji ◽  
Luca Agostoni ◽  
Paolo Gullo ◽  
Houshang Darabi ◽  
Mauro Mancini
Keyword(s):  
Resource Allocation ◽  
Project Scheduling ◽  
Scheduling Model ◽  
Multi Mode

scholarly journals Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Mengqi Liu ◽  
Miyuan Shan ◽  
Juan Wu
Keyword(s):  
Project Scheduling ◽  
Simulation Experiment ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Scheduling Optimization ◽  
Scheduling Model ◽  
Make To Order ◽  
Swarm Algorithm ◽  
The One ◽  
Fierce Competition

For most enterprises, in order to win the initiative in the fierce competition of market, a key step is to improve their R&D ability to meet the various demands of customers more timely and less costly. This paper discusses the features of multiple R&D environments in large make-to-order enterprises under constrained human resource and budget, and puts forward a multi-project scheduling model during a certain period. Furthermore, we make some improvements to existed particle swarm algorithm and apply the one developed here to the resource-constrained multi-project scheduling model for a simulation experiment. Simultaneously, the feasibility of model and the validity of algorithm are proved in the experiment.

A multi-mode multi-skill project scheduling reformulation for reconnaissance mission planning

2021 ◽  
Vol 65 (6) ◽  
Author(s):  
Junqi Cai ◽  
Zhihong Peng ◽  
Sijian Liao ◽  
Shuxin Ding
Keyword(s):  
Project Scheduling ◽  
Mission Planning ◽  
Multi Mode

Resource allocation for robust project scheduling

2011 ◽  
Vol 59 (1) ◽  
pp. 51-55 ◽  
Author(s):  
M. Klimek ◽  
P. Łebkowski
Keyword(s):  
Resource Allocation ◽  
Project Scheduling ◽  
Formal Description ◽  
Resource Allocation Problem ◽  
Flow Network ◽  
Robust Scheduling ◽  
Resource Flow ◽  
Precise Analysis ◽  
The Stability ◽  
Robustness Metrics

Resource allocation for robust project schedulingThe paper presents a formal description of the resource allocation problem for resource-constrained project scheduling. A schedule can be executed by various resource flow networks which may differ in terms of resistance to disruptions occurring during project execution. The authors define such criteria of evaluating a resource flow network which can be more useful than robustness metrics used so far in the research. The authors discuss the importance of robust scheduling for execution projects and propose metrics for resource allocation robustness which take into consideration the stability of the final schedule. Those metrics make it possible to carry out a more precise analysis concerning the properties of the resource flow network in terms of its robustness to disruptions in comparison with a well known flexibility indicator,flex.

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