2010
DOI: 10.7763/ijtef.2010.v1.18
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An Application of the Analytic Hierarchy Process to Determine Benchmarking Criteria for Manufacturing Organisations

Abstract: This paper determines benchmarking criteria from the point of view of the actors who were involved in benchmarking processes within three Libyan Manufacturing Organisations (LMOs). It also describes an application of the Analytic Hierarchy Process (AHP) that can help an organisation to determine its benchmarking criteria. It presents a structured hierarchy for assessing the key capabilities using the AHP. The hierarchy is illustrated using the four main criteria that manufacturing companies consider when carry… Show more

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Cited by 7 publications
(5 citation statements)
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“…The majority of the research conducted in logistics benchmarking is focused on performance appraisal, integration, and information systems through external benchmarking tool (Southard and Parente 2007;Binder et al 2006;Salem 2010;Suzuki 2015). However, these studies do not focus on the elements of enterprises' internal competencies, which thus represent a gap in the prior literature.…”
Section: Internal Benchmarkingmentioning
confidence: 99%
“…The majority of the research conducted in logistics benchmarking is focused on performance appraisal, integration, and information systems through external benchmarking tool (Southard and Parente 2007;Binder et al 2006;Salem 2010;Suzuki 2015). However, these studies do not focus on the elements of enterprises' internal competencies, which thus represent a gap in the prior literature.…”
Section: Internal Benchmarkingmentioning
confidence: 99%
“…Rank reversal is another criticism about AHP, as pointed out first by Belton and Gear (1983). Salem (2010) applied the AHP methodology in the benchmarking process within three Libyan manufacturing organizations to determine its benchmarking criteria. Chan et al (2006) used AHP approach in benchmarking logistics performance of the postal industry in Hong Kong.…”
Section: Analytic Hierarchy Processmentioning
confidence: 99%
“…In this paper, a ij is calculated by the order of Table . The eigenvector “ W ” corresponding to the largest eigenvalue “ γ max ” of CM can be considered as the weights of the decision factors in terms of the corresponding element in the hierarchy level . The priority weights are calculated as follows: CMγmaxIW=0 …”
Section: Problem Formulation and Constraintsmentioning
confidence: 99%