| Summary: | Purpose - To redress the imbalances in the past literature of supply chain benchmarking and enhance data envelopment analysis (DEA) modelling approach in supply chain benchmarking.
Design/methodology/approach - Is sorted into sections: benchmarking, definitions, concepts and literature survey, supply chain benchmarking, problems in supply chain benchmarking, existing tools used in benchmarking, problems in existing tools and motivation of using DEA as a supply chain benchmarking tool. A range of recently published (1995-2004) works is referred and aims to provide insights into possible new research focus in supply chain benchmarking.
Findings - Provides information about new trends in supply chain benchmarking and what are the existing problems. Recognizes the lack of mathematical modelling tool in addressing this issue.
Research limitations/implications - Supply chain benchmarking is gearing towards a holistic approach. DEA is deemed to be an appropriate benchmarking tool with modifications in existing model.
Practical implications - Provide insights to managers on the use of DEA in decision making at strategic level.
Originality/value - Fulfils an identified information/resources need and offers insights to the future research focus in supply chain benchmarking.
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