Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/73675
Title: การวิเคราะห์กระบวนการปิดโครงการก่อสร้างโดยใช้แนวทางบิซิเนสอินเทลลิเจนซ์เพื่อเพิ่มประสิทธิภาพการบริหารงานก่อสร้าง
Other Titles: Construction project closure process analysis using business intelligence to increase construction management efficiency
Authors: กิตติพงศ์ เชื้ออ้วน
Authors: มานพ แก้วโมราเจริญ
กิตติพงศ์ เชื้ออ้วน
Issue Date: Jun-2021
Publisher: เชียงใหม่ : บัณฑิตวิทยาลัย มหาวิทยาลัยเชียงใหม่
Abstract: Provincial Electricity Authority (PEA) has a mission to procure providing electric power and conducting other related businesses in order to meet the needs of customers for satisfaction in both quality and service. From the analysis of problems of closing jobs and building assets during construction. Found that the analysis and presentation of the original data is a complex statistical numerical value calculation. The format view of the report will come out as numbers and text. Which is a boring view non-incentive to follow up information. Therefore, it is the cause of incorrect construction management which affects the closing of accounts and building assets construction in progress does not meet the target. And also affects the return on investment of the organization does not meet the criteria set by the Energy Regulatory Commission. Software packages used in business intelligence are one tool to help solve these problems. This article has experimented with using business intelligence software packages to analyze, connect, transform and display the report data in virtual form. Makes it easy to make decisions. And managing construction work for event planning Job priority Inventory and budget management Speeding up and following up the results of the operations to meet the operational goals. As well as a tool for senior management to evaluate and follow up the work to achieve the organization's goals
URI: http://cmuir.cmu.ac.th/jspui/handle/6653943832/73675
Appears in Collections:ENG: Independent Study (IS)

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