Development of Worth Estimation and Key Target Selection Methods for Effective VE

Author:

Jeong Yeon-Goo1,Jeong Hye-Min2,Kim Byung-Soo1ORCID

Affiliation:

1. Department of Civil Engineering, Kyungpook National University, 80 Daehakro, Daegu 41566, Republic of Korea

2. Department of Architectural Engineering, Kyungpook National University, 80 Daehakro, Daegu 41566, Republic of Korea

Abstract

VE is a powerful technique for analyzing a design with a focus on functionality, reducing costs, and increasing value. However, in order to proceed with the design of VE, the theoretical basis for the VE target selection process, which must be preceded in the preparation stage, is lacking, and as a result, it is difficult to verify the most effective target selection. Thus, a theoretical basis is needed. In this study, we intend to quantify the “Worth” value of the “Cost to Worth” technique and present an objective model of the target selection method using the derived value index (VI). For this purpose, cost worth (Worth C) was calculated based on the performance data of 1008 cases for 15 building types provided by the Domestic Public Procurement Service and the share of 83 detailed processes in seven fields. Then, a survey was conducted targeting the ordering companies, and the final worth (Worth F) was calculated by multiplying the derived customer value (Worth V) weight for each detailed work type. We calculated the value index (VI) by comparing “Cost” and “Worth F” for each detailed construction type of the VE project and developed a model to select construction types that exceed the VI standard value derived using the standard error of the population. Both cost experts and non-cost experts can use the developed model to specify the VE target selection criteria in order to easily select the key target, objectively sort the values that serve as the basis for calculating the value index, and make it possible to more easily select the VE target selection criteria based on theoretical evidence. Also, the model can be used to obtain effective detailed design VE results.

Funder

National Research Foundation of Korea

Publisher

MDPI AG

Reference33 articles.

1. Algase, D., Bolton, J., Kirk, S., Lenzer, B., and Rains, J. (2018). The Value Methodology Memory Jogger, SAVE International. [2nd ed.].

2. SAVE International (2020). VM Guide, SAVE International.

3. VE Alternative Verification Method Using KANO Model;Liu;J. Korean Soc. Civ. Eng.,2019

4. Heo, W.-Y. (2022). The Methodology of Decision Making for VE Components by Cost Index of Building Work. [Ph.D. Thesis, Hoseo University].

5. Jung, B.J. (2010). VE Object Selection Method of Express Way by Value Index. [Master’s Thesis, Pu-Kyong National University].

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3