Search In this Thesis
   Search In this Thesis  
العنوان
A Hybrid Dynamic Framework For Supply Chain Performance Improvement \
المؤلف
Agami, Nedaa Mohammed Ezzat El-Sayed.
الموضوع
Supply Chain Management System.
تاريخ النشر
2013.
عدد الصفحات
107 p. :
الفهرس
يوجد فقط 14 صفحة متاحة للعرض العام

from 129

from 129

المستخلص

Performance measurement is a fundamental building block of successful organizations. A well designed dynamic performance measurement framework ensures not only the sustainability of success but also continuous improvement of performance. The objective of supply chain management is to create value for the whole supply chain network, including the end customers, not only for some entities within the chain. In this context, improving supply chain performance has become a critical challenge to gain competitive edge for companies. Many drawbacks prevent the existing performance measurement systems from making a significant contribution to the development and improvement of the supply chain management and thus, further research is still needed in this area. In an attempt to fill this gap, an enhanced process-based approach for measuring, managing and hence improving supply chain performance is developed. The proposed framework is dynamic, continuous and hybrid. It integrates various sciences, methodologies and tools namely; Systems Thinking, Strategic Planning, Optimization, Fuzzy Logic, Trend Impact Analysis, Balanced Scorecards, SCOR model and Theory of Constraints Thinking Processes into a cohesive performance measurement system. In our research, a comparison between the proposed approach and currently existing systems is provided highlighting how each methodology contributed to the enhancement. Moreover to evaluate the effectiveness of the proposed system in real life, we implemented it in the supply chain department of a major multi-national telecommunications operator in Egypt. The findings revealed that the newly implemented system had considerably leveraged the performance and optimized investments compared to the current adopted system. Furthermore, the proposed framework can be generalized and applied to other systems similar to supply chains in key characteristics and dimensions of complexity.