https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2013/139.pdf

GIS Based Multi-Criteria Analysis for Industrial Site Selection

The contribution of a GIS-based landscape assessment model to a scientifically rigorous approach to visual impact assessment

Industrial site selection is a complex process for owners and analysts. The process involves not only technical requirements, but also economical, social, environmental and political demands that may result n conflictingi objectives. Because of the compound nature of the process, it requires simultaneous use ofsystem for industrial site selection. The use ofseveral decision support tools such as expert systems (ES), geographic information systems (GIS), and multi-criteria decision making (MCDM) methods. This poses the challenge of integrating these decision support tools. Although current integration techniques such as loose and tight coupling have achieved considerable success, they have many limitations. To alleviate these limitations, this study used Component Object Model (COM) technology in designing a decision support the presented system was illustrated using real regional data that is maintained by a state agency. KEYWORDS: Industrial Site Selection,GIS, ES, AHP, SDSS, and COM

A COM-based Spatial Decision Support System for Industrial Site Selection

Many theoretical and operational methods have been developed to identify optimal land‐use allocation strategies. In general, it is possible to classify these models into single land‐use allocation (SLUA) and multiple land‐use allocation (MLUA) problems. SLUA models are characterized by their combinatorial nature and consideration of conflicting objectives. This research is concerned with the development of a multiobjective SLUA model that extends current models and addresses several of their drawbacks.

Efficient land allocation

Industrial site selection is a strategic decision that involves several criteria with consideration for technical, economic, social, environmental, and political issues. These criteria are generally described using a number of different indicators, expressed in quantitative and qualitative ways with some possible uncertainty. Decision making requires, therefore, appropriate tools to enable data collection, storage, analysis, fusion, and knowledge management to address this complex multifaceted scenario. This paper presents a comprehensive method for industrial site selection, an innovative approach for reasoning uncertainty and efficiently finding the most suitable solution based on a set of interacting decision support systems. Experimental results show that the proposed approach provides accurate results in the region of interest, coinciding with the choices of expert analysts.

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A Comprehensive Method for Industrial Site Selection: The Macro-Location Analysis

Siting of Major Facilities: A Practical Approach

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Siting of Major Facilities: A Practical Approach