Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency

Noorul Shaiful Fitri Abdul Rahman; Nur Hazwani Karim; Rudiah Md Hanafiah; Saharuddin Abdul Hamid; Ahmed Mohammed

doi:10.1108/IJPPM-06-2021-0373

Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency

Noorul Shaiful Fitri Abdul Rahman^*, Nur Hazwani Karim, Rudiah Md Hanafiah, Saharuddin Abdul Hamid, Ahmed Mohammed

^*Corresponding author for this work

Management

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

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.

Original language	English
Pages (from-to)	962-985
Number of pages	24
Journal	International Journal of Productivity and Performance Management
Volume	72
Issue number	4
Early online date	20 Oct 2021
DOIs	https://doi.org/10.1108/IJPPM-06-2021-0373
Publication status	Published - 24 Mar 2023

Bibliographical note

Funding Information:
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.

Publisher Copyright:
© 2021, Emerald Publishing Limited.

Keywords

Decision criteria
Fuzzy-AHP method
Logistics service quality
Productivity indicator
Warehouse management
Warehouse productivity

ASJC Scopus subject areas

General Business,Management and Accounting
Strategy and Management

Access to Document

10.1108/IJPPM-06-2021-0373

Cite this

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title = "Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency",

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.",

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Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency. / Abdul Rahman, Noorul Shaiful Fitri; Karim, Nur Hazwani; Md Hanafiah, Rudiah et al.
In: International Journal of Productivity and Performance Management, Vol. 72, No. 4, 24.03.2023, p. 962-985.

Research output: Contribution to journal › Article › peer-review

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T1 - Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency

AU - Abdul Rahman, Noorul Shaiful Fitri

AU - Karim, Nur Hazwani

AU - Md Hanafiah, Rudiah

AU - Abdul Hamid, Saharuddin

AU - Mohammed, Ahmed

N1 - Funding Information: 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. Publisher Copyright: © 2021, Emerald Publishing Limited.

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AB - 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.

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Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this