DocumentCode :
1225451
Title :
The optimal mix of internal/external engineering staff and equipment with different levels of capability and performance
Author :
Gagnon, Roger J. ; Krasner, James D.
Author_Institution :
Babcock Graduate Sch. of Manage., Wake Forest Univ., Winston-Salem, NC, USA
Volume :
37
Issue :
1
fYear :
1990
fDate :
2/1/1990 12:00:00 AM
Firstpage :
37
Lastpage :
47
Abstract :
A mixed integer linear programming model (MILP) that can determine the optimal, strategic mix of internal and external engineers and equipment needed to acquire a new technology capability is presented. The model can also accommodate multilevel engineers and equipment with different performance levels, management project/technology control policies, and a multiperiod horizon. This model can aid engineering managers in the following ways: by helping the manager to recognize the numerous factors and costs that can be considered in this decision problem, by showing the mathematically optimal strategy and accompanying cost, by generating and comparing various alternative strategies, by assessing the effects of different personnel and equipment performance levels, by determining the additional costs (if any) of management´s control policies, and by running sensitivity analyses on technology capacity requirements, resource performance levels, and costs. A comprehensive example problem is provided, an optimal solution is obtained, and the results are assessed. Future research extensions are offered
Keywords :
engineering; linear programming; personnel; equipment performance levels; external engineering staff; internal engineering staff; management project; mixed integer linear programming model; personnel; sensitivity analyses; technology control policies; Capacity planning; Computer aided manufacturing; Cost function; Design engineering; Engineering management; Management training; Personnel; Production; Technology management; Testing;
fLanguage :
English
Journal_Title :
Engineering Management, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9391
Type :
jour
DOI :
10.1109/17.45263
Filename :
45263
Link To Document :
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