NATO RTG SAS-045 on Computer Based Decision Support Tool for Helicopter Mission Planning in Disaster Relief and Military Operations Annex A – TECHNICAL REPORT 1: OVERVIEW OF DECISION SUPPORT TOOL TECHNOLOGIES

NATO RTG SAS-045 on Computer Based Decision Support Tool for Helicopter Mission Planning in Disaster Relief and Military Operations Annex C – TECHNICAL REPORT 3: OVERVIEW OF GEOGRAPHICAL INFORMATION SYSTEMS, DIGITAL MAPS AND MISSION DATA COMPILATION

PSO-Greedy Search Algorithm for Helicopter Mission Assignment in Disaster Relief Operations

In the immediate aftermath of a large-scale disaster, optimal helicopter rescue mission assignment is critical to saving many lives. The current practice in the field is mostly humancentered, however. Japan Aerospace Exploration Agency has been developing a decisionsupport system for aircraft operation in order to promptly plan and execute rescue missions. The current research focuses on evacua...

Product Development Decision Support System Customer-Based

Quality Function Deployment (QFD) has been traditionally used as a planning tool primarily for product development and quality improvement. In this context, many people have used QFD for making decisions on how to prioritize critical product areas from a customer perspective. However, it is the position of the author that the QFD process can be viewed as a decision support system that would enc...

Potential site selection in ecotourism planning using spatial decision support tool

Northern areas of Pakistan have blessed with extremely beautiful natural landscapes, waterfalls, glaciated mountains, biodiversity rich valleys and forests and have extraordinary potential for ecotourism. Study is designed to propose potential sites for ecotourism in Kohistan, which is a least developed but biodiversity rich area of Pakistan.  Poor planning and mismanagement of tourism practice...

An application of principal component analysis and logistic regression to facilitate production scheduling decision support system: an automotive industry case

Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms, simulation approaches, and heuristic methods are extensive in production planning, they seem to be ineff...