A Decision Support System for Process Planning and Control of Polyurethane Foam Production

2014 ◽  
Vol 03 (01) ◽  
Author(s):  
PB Mogaji
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Polyurethane Foam ◽  
Process Planning ◽  
Support System ◽  
Planning And Control ◽  
And Control ◽  
Foam Production

Project Management in Enterprises

2009 ◽  
pp. 2461-2471
Author(s):  
Cezary Orlowski ◽  
Zdzislaw Kowalczuk
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Project Management ◽  
Decision Support System ◽  
Support System ◽  
Project Teams ◽  
Software Project ◽  
Team Members ◽  
Planning And Control ◽  
And Control

The article discusses how the knowledge of management and artificial intelligence can be used for controlling the budgets and schedules ofsoftware projects. The first part of this paper gives an outline of the problems involved in software project management regarding the planning and control of processes and project teams. Next, an overview of changes in management is presented, followed by a description of a method for how these ideas can be used to solve software engineering problems. Consequently, an example is presented of a decision-support system, designed to aid project-team managers in planning and controlling budgets and schedules and helping the team members to adjust.

Plant design and control in food service industry. A multi-disciplinary decision-support system

2018 ◽  
Vol 103 ◽  
pp. 72-85 ◽  
Author(s):  
Alessandro Tufano ◽  
Riccardo Accorsi ◽  
Federica Garbellini ◽  
Riccardo Manzini
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Service Industry ◽  
Food Service ◽  
Plant Design ◽  
And Control

Construction and resource short-term planning using a BIM-based ontological decision support system

2021 ◽  
Vol 48 (1) ◽  
pp. 75-88
Author(s):  
Mehdi Tavakolan ◽  
Sina Mohammadi ◽  
Banafsheh Zahraie
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Construction Projects ◽  
Planning Process ◽  
Resource Planning ◽  
Project Planning ◽  
Short Term ◽  
Planning And Control ◽  
Intelligent Information

The dynamic nature and increasing complexity of the construction projects impose many challenges for project planning and control. As a project progresses, more information becomes available and the level of uncertainty decreases. It can be used to proactively check the validity of the previous decisions and develop revised and more detailed plans for the upcoming activities in construction planning meetings. For this purpose, this study implements ontological knowledge representation and semantic reasoning techniques to propose an intelligent information collection and decision support system framework for short-term collaborative construction and resource planning. Moreover, a new approach is suggested that allows for incorporating resource specifications and limitations, and complex multi-factor constraints in the ontological planning process. The framework was tested based on a real-world construction project and different application cases were discussed. The framework showed a promising performance for analyzing different scenarios and help the planners making informative decisions.

Sign in / Sign up

Export Citation Format

Share Document