• 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