A Knowledge-Based Decision Support System for Scraper Selection and Cost Estimation

International Arab Journal of Information Technology (IAJIT)

Maryam Madani¹  Shadpour Mallakpour² 

[1] Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. IranDepartment of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$;Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. IranDepartment of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. IranDepartment of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$

关键词: Scrapers selection;    expert systems;    decision support systems;    COM.;   

DOI  :  

学科分类：计算机科学（综合）

来源: Zarqa University

【 摘 要 】

Scrapers are advantageous earthmoving construction equipments as they are independently capable of excavating, hauling, and placing soil. Determining the suitable and the most economical selection of the size, model, and number of scrapers and pushers is a complex process that depends on multiple factors such as the haul-road conditions, equipment performance, operation’s travel time, etc. Equipment selection is the first and the most important decision made by a contracting firm. The right choice of equipment determines competitiveness as well as profitability. Therefore, this paper presents a prototype knowledge-based decision support system for scraper selection and cost estimation. The system is developed through employing Visual Rule Studio® (an object oriented COM-compliant expert system development environment for windows) as an ActiveX Designer under Microsoft Visual Basic 6.0 environment since it combines the advantages of both production rules and object-oriented programming technology. Also, using Component Object Model (COM) technology in designing and integrating the different components of the prototype system will assure software interoperability between these components. The architecture, the development and the implementation of the prototype system are discussed in details. A typical example is also presented to demonstrate the application of the prototype system.Keywords: Scrapers selection, expert systems, decision support systems, COM.Received June 6, 2005; accepted August 25, 2005Full Text

【 授权许可】

Unknown