Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency
International Journal of Productivity and Performance Management
ISSN: 1741-0401
Article publication date: 20 October 2021
Issue publication date: 24 March 2023
Abstract
Purpose
The warehouse industry is one of the backbones in the logistics operation which involves several activities i.e. storage, receiving, picking and shipping of goods/cargoes. This study analyzes the most important warehouse productivity indicators for improving warehouse operation efficiency.
Design/methodology/approach
This study presents an empirical methodology of the fuzzy analytical hierarchy process (FAHP) method, an integration between the fuzzy logic method with an analytical hierarchy process (AHP) method incorporated with the adoption of quantitative and systems theories under the modern management theory approach.
Findings
The results indicate that the weight values of the main criteria which lead by the criterion “Space (0.4005)” at the top ranking, followed by Information System (0.2445), Labor (0.2065) and Equipment (0.1484). In addition, the weight values and ranking of the 16 sub-criteria are also highlighted which the sub-criterion “Warehouse Management System (0.2445)” scores the highest weight value and followed by Storage Space Utilization (0.1043) and Throughput (0.0722) accordingly.
Research limitations/implications
Finally, this research contributed to enrich the literature, while highlighting a series of recommendations on the top three most significant productivity performance indicators that can be useful in further research.
Originality/value
A generic analysis model developed with the adoption of three study theories: quantitative, system and productivity theories.
Keywords
Acknowledgements
The authors would like to thank the anonymous Malaysian experts for their involvement and contribution in this study.
Funding: This work was supported by the Ministry of Higher Education, Malaysia and Universiti Malaysia Terengganu (UMT) [grant number: FRGS/1/2018/SS01/UMT/02/2].
Declaration of interest: The authors confirm that there are no known conflicts of interest associated with this publication and all the significant industries and financial support for this work have been addressed in the Acknowledgement section in the manuscript.
Citation
Abdul Rahman, N.S.F., Karim, N.H., Md Hanafiah, R., Abdul Hamid, S. and Mohammed, A. (2023), "Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency", International Journal of Productivity and Performance Management, Vol. 72 No. 4, pp. 962-985. https://doi.org/10.1108/IJPPM-06-2021-0373
Publisher
:Emerald Publishing Limited
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