TY - JOUR
T1 - Solving a process engineer's manpower-planning problem using analytic hierarchy process
AU - Yang, Taho
AU - Lee, Rong Shean
AU - Hsieh, Chunghsi
N1 - Funding Information:
The authors would like to thank Mr. Benny Scheiner and Dr. Chiahung J. Lin for suggesting and inspiring this research. The authors are grateful to the anonymous company for facilitating the case study. This research was sponsored in part by the National Science Council of Taiwan R.O.C. under grant No. NSC89-2212-E-006-142.
PY - 2003/4
Y1 - 2003/4
N2 - The role of a process engineer (PE) is vital in a hightechnology organization. Generic manpower-planning approaches, such as regression or mathematical programming methods, are difficult to apply to PE manpower-planning problem. A simple production-volume to staffing-level ratio did not properly reflect the required PE staffing needs. This research considered both production volume and complexity to plan the required PE staffing level. Production complexity is an indicator of the amount of PE attendance time, and this is innovatively evaluated in the present study using the analytic hierarchy process (AHP). A case study is used to illustrate the proposed methodology.
AB - The role of a process engineer (PE) is vital in a hightechnology organization. Generic manpower-planning approaches, such as regression or mathematical programming methods, are difficult to apply to PE manpower-planning problem. A simple production-volume to staffing-level ratio did not properly reflect the required PE staffing needs. This research considered both production volume and complexity to plan the required PE staffing level. Production complexity is an indicator of the amount of PE attendance time, and this is innovatively evaluated in the present study using the analytic hierarchy process (AHP). A case study is used to illustrate the proposed methodology.
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U2 - 10.1080/0953728031000111496
DO - 10.1080/0953728031000111496
M3 - Article
AN - SCOPUS:0142186051
SN - 0953-7287
VL - 14
SP - 266
EP - 272
JO - Production Planning and Control
JF - Production Planning and Control
IS - 3
ER -