A Methodology of Collaborative Performance Measurement for Manufacturing Collaboration

Authors

  • Jae-Yoon Jung Kyung Hee University
  • Jinsung Lee Kyung Hee University
  • Jihwan Jung LG Display
  • Sang-Kuk Kim Kyung Hee University
  • Dongmin Shin Hanyang University

DOI:

https://doi.org/10.23055/ijietap.2012.19.3.592

Keywords:

Manufacturing collaboration, performance measurement, collaborative key performance indicators, two-folded desirability function, sigmoid function

Abstract

The development of effective performance measures is requisite to effectively maintain successful collaboration. In our paper, a methodology of collaborative performance measures is presented to evaluate the overall performance of a collaboration case which multiple manufacturing partners participate in. The collaboration partners first define collaborative key performance indicators (cKPI), and they then measure the cKPIs and calculate the synthetic performance from the cKPI values to evaluate the result of the collaboration case. For the methodology, a two-folded desirability function is developed based on the logistic sigmoid function to measure different scales of cKPIs. The proposed methodology can provide a quantitative way of measuring collaborative performance to effectively manage collaboration among partners and continuously improve their performance.

Author Biographies

Jae-Yoon Jung, Kyung Hee University

Department of Industrial and Management Systems Engineering

Jinsung Lee, Kyung Hee University

Department of Industrial and Management Systems Engineering

Jihwan Jung, LG Display

Business Innovation Center

Sang-Kuk Kim, Kyung Hee University

Department of Industrial and Management Systems Engineering

Dongmin Shin, Hanyang University

Department of Industrial and Management Engineering

Published

2012-07-30

How to Cite

Jung, J.-Y., Lee, J., Jung, J., Kim, S.-K., & Shin, D. (2012). A Methodology of Collaborative Performance Measurement for Manufacturing Collaboration. International Journal of Industrial Engineering: Theory, Applications and Practice, 19(3). https://doi.org/10.23055/ijietap.2012.19.3.592

Issue

Section

Manufacturing and Control