專案人員在學習效應下之指派模式

Abstract

在一多專案的環境裡，可能需要定期重新指派人力至各專案中的工作項目。學習效應可說明當專案人員被指派到某一工作項目時，人員處理工作的效率會有所提昇，此效應常發生在多個專案的執行期間中，但在過去的研究裡並未針對此一問題深入探討。本研究針對多專案的情境下，考慮學習效應建構一人員指派模型。此非線性數量模型之目標是求得最低外包人員成本，並透過基因演算法之協助來求解，驗證在不同情境組合下求解所需時間。

In a multi-project environment, we may need to periodically reassign the staffs to the tasks of each project. Learning effect denotes that a staff member would perform better if he has been assigned to a particular task as possible. This effect usually occurs in the implementation of multi-projects, yet was rarely concerned in previous literature. This research aims to formulate the staff assignment problem for a multi-project scenario with learning effects. A nonlinear mathematic model for minimizing the staff outsourcing cost has been proposed and solved by a genetic algorithm. Experiments for solving various size of test problems has been carried out for justifying the propose method.