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Prioritizing warehouse performance measures in contemporary supply chains

Prioritizing warehouse performance measures in contemporary supply chains

Laosirihonthong, T, Adebanjo, D ORCID: 0000-0003-4845-9411, Samaranayake, P, Subramanian, N and Boon-Itt, S (2018) Prioritizing warehouse performance measures in contemporary supply chains. International Journal of Productivity and Performance Management. ISSN 1741-0401 (doi:https://doi.org/10.1108/IJPPM-03-2018-0105)

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Abstract

Purpose:
Due to the importance of efficiency and responsiveness measures rather than just efficiency measures, this research recognizes both measures when considering overall performance of warehouse operations. Thus, the purpose of this study is to prioritize overall performance measures associated with warehouse operations in manufacturing, third-party logistics (3PL) service provider, and retail industry supply chains.

Design/methodology/approach:
The study uses an integrated approach that involves the Q-sort method to group measures into four categories. Fuzzy analytical hierarchy process (FAHP) was then used to prioritize individual performance measures within each category and integer liner programming model was used to validate prioritized categories, using the judgement of multiple decision makers across three industries.

Findings:
The result shows that the financial category is a dominating performance category in managing warehouse operations across all three industries selected. Within the financial category, cost of insurance accounted for 25% of total weight of the category, and is considered to be a powerful measure. The financial category is verified by multiple decision makers across three industries, as the most important performance category.

Research Limitations/implications:

As part of adopting the proposed methodology in practice, it needs to be guided by overall methodology appropriate for industry-specific contexts.

Originality/value:
Key novel aspects of this study are to categorize warehouse operations measures and analyze their perspectives in different industries, understand dominant categories of warehouse operations measures in the contemporary supply chain and finally to explore to what extent current practices lead to achieving efficiency and responsiveness in the selected industries.

Item Type: Article
Uncontrolled Keywords: Fuzzy sets, AHP, Performance categories, Priorities
Subjects: H Social Sciences > HD Industries. Land use. Labor
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of Systems Management & Strategy
Faculty of Business > Supply Chain Management Research Group
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Supply Chain Management Research Group
Last Modified: 05 Dec 2018 17:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/20395

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