Goedhals-Gerber L.L.,Stellenbosch University |
Gerber H.R.,NioCAD Pty Ltd
International Conference on Harbour, Maritime and Multimodal Logistics Modelling and Simulation | Year: 2011
In an effort to compete globally, South African supply chains must achieve and maintain a competitive advantage. One way of achieving this is by ensuring that South African supply chains are as efficient as possible. Consequently, steps must be taken to evaluate the efficiency levels of South African supply chains. This paper discusses the composite supply chain efficiency model using variables specifically identified as problem areas experienced by South African supply chains. The composite supply chain efficiency model evaluates the overall efficiency of a supply chain based on three criteria, namely, reliability efficiency, cost efficiency and speed efficiency. It identifies bottlenecks along the supply chain and in so doing identifies key focus areas for firms if they want to improve their overall efficiency and become more competitive.
Ortmann F.G.,NioCAD Pty Ltd. |
Van Der Merwe A.,NioCAD Pty Ltd. |
Gerber H.R.,NioCAD Pty Ltd. |
Fourie C.J.,Stellenbosch University
IEEE Transactions on Applied Superconductivity | Year: 2011
Research has been done on the metaheuristic optimization of RSFQ circuits, but these are typically limited to single criteria (e.g., yield). The importance of using multiple criteria and the relevance of each of the criteria is discussed. The application of data envelopment analysis (DEA) and an interactive normalization technique as multi-criteria evaluation methods for the optimization of RSFQ circuits are investigated. We find that these evaluation methods each have clear advantages and disadvantages over each other. The normalization technique requires the analysis designer to have a good understanding of circuit design to be accurate, while theDEAmethod may yield many results that are ranked equally efficient. © 2010 IEEE.