A Hybrid Dynamic Framework for Supply Chain Performance Improvement

Abstract

Improving supply chain performance has become a critical issue for gaining a competitive edge for companies. Many critical drawbacks prevent the existing performance measurement systems from making a significant contribution to the development and improvement of supply chain management and thus, several 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 presented. The proposed framework is dynamic, continuous, and hybrid. It integrates various sciences, methodologies, and tools, namely systems thinking, strategic planning, optimization, balanced scorecards, supply chain operations reference model, and theory of constraints thinking processes into a cohesive performance measurement system. In this paper, a comparison between the proposed approach and currently existing systems is provided highlighting how each methodology contributed in the enhancement.

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