The US motor carrier industry: estimation of operational efficiency using DEA

Pai, Dinesh R.

doi:10.1504/ijlsm.2012.047222

Cited by 4 publications

(1 citation statement)

References 51 publications

(66 reference statements)

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“…In the existing literature of operational performance evaluation, certain DEA models are variously applied by many researchers (Barros and Peypoch, 2009;Kuo et al, 2010;Huang et al, 2012;Chen et al, 2012;Pai, 2012;Goto et al, 2014;Tsui et al, 2014;Chen et al, 2015). As in the real-world problems, data involve ambiguity and vagueness; the conventional DEA models are not suitable for supporting the uncertain data.…”

Section: Introductionmentioning

confidence: 99%

Operational efficiency-based ranking framework using uncertain DEA methods

Abbasi

Kaviani

2016

Management Decision

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Purpose – Competition in dynamic markets requires operational excellence and effective operations strategy. Hence, organizations have to evaluate their operational performance in comparison to their rivals. The purpose of this paper is to present an operational performance evaluation framework for analyzing and ranking the organizations based on the effectiveness of their operations strategies. Design/methodology/approach – In this study three uncertain data envelopment analysis (DEA) models consist of fuzzy DEA (FDEA), imprecise DEA (IDEA) and Grey DEA are applied to assess the performance of organizations in terms of the operations. The applicability of the proposed framework is demonstrated through a case study at Fars province cement manufacturers of Iran. Findings – The ranking results assist the mangers of service and manufacturing enterprises in finding out the current positions of their companies and the effectiveness of their operations strategies in comparison to their rivals. Accordingly they can make proper strategic and operational decisions to improve the performance of the operations. Originality/value – Based on the previous literature, this is the first study which uses FDEA and IDEA methods in an operational performance evaluation problem. Furthermore this study proposes a novel framework for evaluating and ranking the operational performance of firms from the perspective of operations strategy.

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