Customer Earned Value

Performance Indicator from Flow and Value Generation View

Taehoon Kim, Yong Woo Kim, Hun Hee Cho

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

The earned value method (EVM) is considered an advanced project control technique that provides a quantitative measure of work performance. However, the EVM is effective only under the assumption that every activity is independent. Literature shows that the EVM lacks the value generation view even working against the reliability of workflow. The goal of this research is to propose a project metric system to supplement the EVM in terms of the workflow and value generation. The researchers suggest a new metric of customer earned value (CEV), which is defined as the budgeted amount of work completed and is used by the successors on a network. Through a hypothetical case study, this research investigates how the work-in-process between trades and schedule performance in each trade behave under different uncertainties. The result suggests that the proposed metrics can provide project managers with more relevant managerial information on project progress as well as on the level of collaboration. The proposed system with the EVM would facilitate collaboration on project planning and control where variability and interdependency are involved.

Original languageEnglish
Article number4015017
JournalJournal of Management in Engineering
Volume32
Issue number1
DOIs
Publication statusPublished - 2016 Jan 1

Fingerprint

Metric system
Managers
Planning
Earned value
Performance indicators
Uncertainty
Project control

Keywords

  • Collaboration
  • Customer earned value
  • Earned value method
  • Project control metric

ASJC Scopus subject areas

  • Engineering(all)
  • Strategy and Management
  • Industrial relations
  • Management Science and Operations Research

Cite this

Customer Earned Value : Performance Indicator from Flow and Value Generation View. / Kim, Taehoon; Kim, Yong Woo; Cho, Hun Hee.

In: Journal of Management in Engineering, Vol. 32, No. 1, 4015017, 01.01.2016.

Research output: Contribution to journalArticle

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