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