在企業電子化的時代中，人力資源有限的資訊部門經常面對龐大且持續不斷的資訊化需求，如何做好專案的選擇及人力的規劃便成為資訊部門一個重要的課題。除了眾多專案如何有效地進行選擇之外，資訊部門於每期的批次專案規劃時除了新成立的專案之外，尚需考慮來自前期規劃的實際後果納入一併再規劃。如此多重(multiple projects)、多期(multiple periods)的特性對於專案的選擇以及有限資源的再分配，特別是人力再規劃與指派，更加深了接案管理的複雜與困難度；並且這種多期再規劃的接案決策問題在學理文獻上亦無太多著墨。資訊部門需要一制度化決策模式使其來有系統性、持續地進行多重專案的選擇、人力指派、以及再指派。 因此，本研究提出一個多重多期接案決策模式(Multi-Project selections, multi-Period assignments model，簡為MPP接案決策模式)。MPP接案決策模式包括一個模式流程。此流程運用了來自CMMI的DAR及制度化規範而建立。該流程完整地包括接案審查、以及依據BIP (Binary Integer Planning)問題所發展出的一個MPP 多期專案再規劃的OR模型。在實務應用上，本研究依據所提出的模式，實作出一個應用程式來協助接案管理者有效率地達成多期專案再規劃的境界。並且，本研究將MPP接案決策模式實際應用於企業，即南亞科技股份有限公司，並以該企業為例，來展示模式的實際使用情形及使用回饋。在學術發展上，本研究也針對現今文獻中有關專案指派的OR模式與MPP指派模型進行比較，以整理出模式的特色，並針對企業的實際運用及使用限制，進一步提出未來的研究方向。 In contemporary business era, organizations’ information service departments (IT departments) often deal with tremendous and continuous requests of ad-hoc information systems and maintenance. With limited human resources how to effectively select projects and assign human resources to selected projects has become a critical issue to IT departments. Unlike one-time, single project planning, IT departments also need to re-plan project assignments for not only the new projects of current period and the accumulated effects of existing projects from previous periods. In this regard, this research proposes a decision support model, named MPP model, to help IT departments handle multi-projects selection with multi-periods re-planning. The MPP contains a decision process that applies and implements the DAR from CMMI for guiding the entire project selection and assignment. MPP also includes a binary-integer OR programming optimization algorithm for stakeholders to effectively handling multi-periods re-planning issue. To demonstrate the proposed work, this research reports a business case as a real use of MPP in the IT department of Nanya Technology Corporation, Taiwan. Several use cases and analyses are provided in this study. Validity examinations for the real company case and the limitations due to the current development of MPP are discussed as well.
