An interactive decision support system for the resource Constrained Scheduling Problem

1996 ◽  
Vol 94 (1) ◽  
pp. 54-65 ◽  
Author(s):  
Mario Norbis ◽  
J. MacGregor Smith
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Scheduling Problem ◽  
Resource Constrained ◽  
Interactive Decision Support ◽  
Resource Constrained Scheduling Problem

‘PLATE’: A decision support system for resource constrained scheduling problems

1994 ◽  
Vol 79 (2) ◽  
pp. 158-166 ◽  
Author(s):  
A.T.M. Aerts ◽  
A. Jansen ◽  
L. Klieb ◽  
C. Noorlander ◽  
G. Wolf
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Scheduling Problems ◽  
Resource Constrained

A decision support system for the courier vehicle scheduling problem

Omega ◽  
1988 ◽  
Vol 16 (4) ◽  
pp. 333-345 ◽  
Author(s):  
A.V. Hill ◽  
V.A. Mabert ◽  
D.W. Montgomery
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Vehicle Scheduling ◽  
Scheduling Problem

Decision Support System for Logistics Systems Analysis Using Image Theory and Work Domain Analysis

2005 ◽  
Vol 2 (2) ◽  
pp. 71-85
Author(s):  
Todd W. Kustra ◽  
Subhashini Ganapathy ◽  
Amanda C. Muller ◽  
S. Narayanan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Domain Analysis ◽  
Image Theory ◽  
Aircraft Maintenance ◽  
Logistics Systems ◽  
Interactive Decision Support ◽  
Work Domain Analysis ◽  
Work Domain

In this study, image theory and work domain analysis were used to develop an interactive decision support system for sortie generation tasks in an Air Force aircraft maintenance unit. Aircraft maintenance personnel were charged with creating a short list of aircraft for deployment using either maintenance information alone or maintenance information with the interactive decision support system. Results were compared with a deployment list developed by expert aircraft maintenance superintendents. The deployment lists generated with the interactive decision support system more closely resembled the experts' list and took less time to create than those generated using maintenance information alone. These results show the viability of the methodology outlined in this study for creating decision support systems in complex logistics planning.

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