iFAO: Spatial Decision Support Services for Facility Network Transformation
ABSTRACT Facility Network Transformation (FNT) is a strategic approach involving assessing and optimizing the industrial facility networks such as new site selection, demand forecasting, performance evaluation in banking, retailing, etc. In practice, FNT requirements are often diverse, dynamic and industry specific, it's often difficult to implement a generic FNT service fully integrated with legacy systems. The heterogeneity of spatial information further calls for a loosely coupled architecture. An innovative spatial decision support system, iFAO (Intelligent Facility Network Analytics and Optimization), is therefore developed based on Service Oriented Architecture for FNT problems. In this paper, key FNT service patterns are identified and modeled to develop an industrial independent solution, and an SOA-based framework for iFAO is proposed correspondingly. Implementation of iFAO services is presented with a Model-Driven approach. With a real case in banking, it's illustrated how the SOA based iFAO services are integrated to solve the real industrial problems, especially for quick decisions on business strategy in the competitive and ever-changing marketplaces.
- Journal of Water Resources Planning and Management-asce - J WATER RESOUR PLAN MAN-ASCE. 01/2003; 129(1).
- International Journal of Geographical Information Science. 01/1999; 13:533-555.
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ABSTRACT: A laboratory experiment was used to investigate the effects on decision-maker performance of using geographic information system (GIS) technology as a spatial decision support system (SDSS). GIS are increasingly being used for decision-making, yet research about their contributions to the performance of decision-makers has been lacking. This study makes a contribution to that apparent void. Volunteer subjects completed a site location task that required decisions to be made based upon spatially referenced information. Performance was operationalized as elapsed time and accuracy. The task environment was manipulated in two dimensions. In one dimension, task complexity was varied on two levels. In the other dimension, some subjects were provided a geographic information system as a decision aid; the rest were not. Significant differences were found between task solutions developed by SDSS users and those developed by non-SDSS users. SDSS users experienced shorter solution times and fewer errors for both levels of task complexity. The study builds upon and extends image theory as a basis for explaining efficiency differences resulting from different graphical displays of spatial information.Decision Support Systems. 01/1995; 14:219-235.