臺灣博碩士論文加值系統

近年來台灣企業面臨全球化與科技快速發展所帶來的巨大挑戰，由於科技的快速發展，導致產品的生命週期日趨縮短，企業唯有加速產品開發，才能在競爭激烈的市場中保持競爭力，本研究將選出一組總薪資成本最低的多能工組合，此組合需符合專案團隊成員之挑選因素如：專業知識、團隊角色、個人特質……等，且能在固定的開發時限裡完成專案。首先將上述的問題建構為數學模式並利用啟發式演算法GA來求解，把模式輸入於最佳化軟體Evolver中，求專案團隊組合之解，進而探討有無加入BTR及MBTI的考量下，對於總成本最低的最佳團隊為何。總之，挑選專案成員需要考慮到專案需要的專業角色，團隊角色以及團隊成員的人格特質，此三項挑選因素皆與總成本的關係，研究結果顯示經由實例的驗證與分析，的確可以經由研究中所設計的評估架構及方法，將 BTR 及 MBTI 影響特性納入於專案成員選派條件中，讓整體專案成員選派流程更符合實際狀況，同時顧及專案團隊組成時挑選成員所需考量的諸多因素，改善以主觀方式挑選成員的偏頗，並有助於專案與人力資源管理，只不過此類成員選取問題恐仍多受評估者主觀意識的影響，此類評估方法尚有許多改善與落實的空間。

Recent years, Taiwan''s enterprises have faced the enormous challenges of globalization and rapid technological development due to the rapid development of science and technology, leading to increasingly shortened product life cycle enterprises can only accelerate product development, in order to remain competitive in a highly competitive market ,This study will elect a group with a total salary of the lowest cost combination of multi-skilled worker. This combination is subject to different factors for the selection of project team members, such as professional knowledge, team roles, personal psychological types and so on, and team members can complete the project in the fixed time. This paper using Belbin''s team role theories are evaluated in terms of the claim that high team performance is associated with teams which are balanced in terms of the team roles represented amongst team members and the personality profiling using Myers–Briggs type indicator serves as
the basis of assessing each team member’s abilities to work with
others. This research helps establish an efficient multifunctional team because every team member will be capable of communicating to each other within the team due to their multifunctional knowledge, team roles, as well as an established good working relationship. It’s helpful about project management.

誌謝 i
摘　　要 ii
Abstract iii
目 錄 iv
圖目錄 iv
表目錄 v
第一章 緒論 1
1.1 研究動機及背景 1
1.2 研究目的 3
1.3 研究流程 4
第二章 文獻探討 6
2.1同步工程 6
2.2專案團隊的定義 8
2.3選派專案團隊成員考慮之因素 8
2.4基因演算法 ( GENETIC ALGORITHMS, GA ) 簡介 16
2.5 EVOLVER 應用程式 19
第三章 研究設計 20
3.1問題描述 20
3.2數學模式相關的假設、指標、參數與決策變數之定義 26
3.3建構數學模式 28
3.4 選派專案團隊成員之求解—基因演算法 32
第四章 案例分析 35
4.1 案例描述 35
4.2案例分析 39
第五章 結論與建議 45
未來建議 45
參考文獻 46
圖目錄
圖1-1 傳統循序的開發流程 2
圖1-2 使用同步工程組織團隊之同步資訊分享區 3
圖1-3研究流程圖 5
圖2.1 基因演算法之基本流程圖 19
圖3-1總成本與專案團隊成員因果圖 22
圖3-2表示基因演算法的基本流程 33
表目錄
表2-1回顧同步工程文獻觀點表 6
表2-2根據美國分析研究院在1998年公佈的首份同步工程規範 7
表2-3由[27]整理出促使多功能團隊成功運作的因素 9
表2-4 貝爾賓角色特性簡釋 12
表2-5 MBTI性格表 15
表2-6個人特質型態組合 15
表3-1 問卷結果分析案例 51
表3-2 表為16種組合工作關係矩陣 23
表3-3 16x16的工作關係矩陣 24
表3-4 標準化後的工作關係矩陣 25
表4-1 30位員工在專案項目所需之專業能力評比( )及薪資表( ) 37
表4-2各專案項目作業的預訂時程( )與最大需求值( ) 37
表4-3 30位員工團隊角色之合適性評比值( ) 38
表4-4 專案之團隊角色最大需求值( ) 39
表4-5分析(1)專案成員最佳組合 40
表4-6分析(2)之員工專業項目時間分配比例 40
表4-7分析(2)專案成員最佳組合 41
表4-8 分析(2)之員工專業項目時間分配比例 41
表4-9分析(3)專案成員最佳組合 42
表4-10 分析(3)之員工專業項目時間分配比例 42
表4-11分析(4)專案成員最佳組合 43
表4-12 分析(3)之員工專業項目時間分配比例 43
表4-13 各因素之最佳團隊組合總成本比較表 44

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