عنوان مقاله :
مدلي براي بهينه سازي تسهيم دانش در تشكيل تيم هاي پروژه ي توسعه ي محصول جديد
عنوان به زبان ديگر :
A MODEL FOR KNOWLEDGE-SHARING OPTIMIZATION IN A NEW PRODUCT DEVELOPMENT PROJECT TEAM FORMATION
پديد آورندگان :
حسيني سرخوش، مهدي , اخوان، پيمان , عباسي، مرتضي دانشگاه مالك اشتر - مجتمع مديريت و فناوري هاي نرم
كليدواژه :
تسهيم دانش , تيم پروژه , توسعه محصول جديد , مدل سازي رياضي
چكيده فارسي :
يكي از چالش هاي عمده در پروژه هاي توسعه ي محصول جديد از دست دادن دانش كسب شده توسط اعضاي تيم پروژه در طول چرخه ي عمر پروژه است. در چنين پروژه هايي معمولاً سه نوع تسهيم دانش رخ مي دهد: 1. تسهيم دانش بين اعضاي تيم پروژه در حوزه هاي تخصصي خود؛ 2. تسهيم دانش بين اعضاي تيم پروژه و همكاران آنها در بخش مربوط در حوزه ي تخصصي؛ 3. تسهيم دانش بين اعضاي تيم پروژه و همكاران آنها در بخش مربوط در حوزه هاي غيرتخصصي. بنابراين، در اين تحقيق تلاش شده است با فرمول بندي مسئله ي انتخاب اعضاي تيم پروژه در قالب يك مدل برنامه ريزي عدد صحيح غيرخطي مختلط اين سه نوع تسهيم دانش بهينه شود. نتايج حاصل از آزمايش مدل پيشنهادي در يك مطالعه ي موردي از صنعت خودروسازي اثربخشي روش پيشنهادي را در انتخاب افراد مناسب برحسب عملكرد مورد انتظار از آنها در تسهيم دانش چه در درون تيم پروژه و چه در خارج از آن تاييد كرده است.
چكيده لاتين :
As the rate of business change continues to accelerate, organizations face challenging situations like rapid technological developments, corporate restructuring, emerging technologies, and globalization. Hence, the use of project teams in the performance of daily activities is increasingly gaining popularity among many new product development (NPD) projects. Project teams are highly advantageous, because the team members share common project goals and handle technical complexity and change with the assistance of their collective cross-functional knowledge. Additionally, these cross-functional teams are
often temporary organizations that are able to respond quickly to changing environmental conditions by adjusting the composition of the team members. In addition, by the use of cross-functional project teams, organizations attempt
to improve coordination and integration, span organizational boundaries, improve timing of technology developments, and reduce uncertainty levels. However, a significant challenge remains for project managers or other decision-makers to assemble project teams that are able to effectively preserve acquired knowledge during project lifecycle by project team members. Usually, three types of knowledge sharing take place in such projects: 1) knowledge sharing among team members in their domain of expertise; 2) knowledge sharing between team members and their co-workers in related functional departments in the domain of expertise; 3) knowledge sharing between team members and their co-workers in related functional department in the domains of non-expertise. Therefore, the problem of selecting proper project team's members is formulated in this paper as a mixed-integer nonlinear programming (MINLP) model to optimize these three types of knowledge sharing. We used the model for selecting a NPD project team in automotive industry. The experimental results indicated that the proposed approach is effective in selecting proper members based on their expected performance in knowledge sharing in and outside the project team.
عنوان نشريه :
مهندسي صنايع و مديريت شريف
عنوان نشريه :
مهندسي صنايع و مديريت شريف
