Abstract
Earned value analysis is a project performance method which simultaneously presents both cost and schedule performances. The purpose of this paper is to model the uncertainty associated with activity duration in earned value analysis. The approach incorporates to design a control mechanism, which would be applicable through production control as well as project management problems. The job processing times have been considered as triangular fuzzy number. Costs are assumed to be directly related to fuzzy activity time, which are estimated through a bottom up hierarchy process. Consequently, different earned value metrics have been achieved. Research findings provide an efficient control mechanism in earned value analysis, which would be highly applicable in production control area. This research also yields a novel approach for representing a production performance index during implementation of production processes. In addition to the above mentioned issues, forecasting features can be further performed for predicting completion time of products for delivery to the customer. The approach presented in this paper has been successfully implemented through a multi-period–multi-product production planning problems, which efficiently demonstrates the applicability of the proposed control mechanism.
Similar content being viewed by others
References
Al-Tabtabai H, Diekmann JE (1992) Judgmental forecasting in construction projects. Constr Manag Econ 10:19–30
Anbari F (2003) EV method and extensions. Proj Manage J 34(4):12–23
Byrne MD, Bakir MA (1999) Production planning using a hybrid simulation-analytical approach. Int J Prod Econ 59:305–311
Byrne MD, Hossain MM (2005) Production planning: an improved hybrid approach. Int J Prod Econ 93:225–229
Cioffi DF (2006) Designing project management: a scientific notation and an improved formalism for EV calculations. Int J Proj Manag 24:136–144
Kaufmann A, Gupta MM (1988) Fuzzy mathematical models in engineering and management science. North-Holland, Amsterdam
Kim B, Kim S (2001) Extended model for a hybrid production planning approach. Int J Prod Econ 73:165–173
Kim EH, Wells WG Jr, Duffey MR (2003) A model for effective implementation of EV management methodology. Int J Proj Manag 21:375–382
Liang TF (2008) Fuzzy multi objective production/distribution planning decisions with multi-product and multi-time period in a supply chain. Comput Ind Eng 55:676–694
Liang TF, Cheng HW (2009) Application of fuzzy sets to manufacturing/distribution planning decisions with multi-product multi-time period in supply chains. Expert Systems Appl 36:3367–3377
Lipke W, Zwikael O, Henderson K, Anbari F (2009) Prediction of project outcome: the application of statistical methods to earned value management and earned schedule performance indexes. Int J Proj Manag 27(4):400–407
Meredith JR, Mantel SJ (2000) Project management: a managerial approach, 4th edn. Wiley, New York
Moslehi O, Li J, Alkas S (2004) Web-based integrated project control system. Constr Manag Econ 22:35–46
Oven JK (2007) Implementing EV management in a R&D environment. AACE International Transactions EVM 1:01–05
Project Management Body of Knowledge (PMBOK) (2004) Project Management Institute Press, USA
Stratton RW (2007) Applying earned schedule analysis to EVM data for estimating completion date. AACE International Transactions EVM 4:1–3
Vandevoorde S, Vanhoucke M (2006) A comparison of different project duration forecasting methods using EV metrics. Int J Proj Manag 24:289–302
Vitner G, Rozenes Sh, Spraggett S (2006) Using data envelope analysis to compare project efficiency in a multi-project environment. Int J Proj Manag 24:323–329
Wi H, Mun J, Oh S, Jung M (2009) Modeling and analysis of project team formation factors in a project-oriented virtual organization. Expert Syst Appl 36(3):5775–5783
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Bagherpour, M., Zareei, A., Noori, S. et al. Designing a control mechanism using earned value analysis: an application to production environment. Int J Adv Manuf Technol 49, 419–429 (2010). https://doi.org/10.1007/s00170-009-2406-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-009-2406-z