Prioritizing lean supply chain management initiatives in healthcare service operations: A fuzzy-AHP approach
Adebanjo, Dotun ORCID: https://orcid.org/0000-0003-4845-9411, Laosirihongthong, Tritos and Samaranayake, Premaratne (2016) Prioritizing lean supply chain management initiatives in healthcare service operations: A fuzzy-AHP approach. Production Planning and Control, 27 (2). pp. 953-966. ISSN 0953-7287 (Print), 1366-5871 (Online) (doi:10.1080/09537287.2016.1164909)
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Abstract
The objective of this study is to investigate the perceptions of practitioners/experts about the prioritisation of healthcare performance measures and their relationship with lean supply chain management (LSCM) practices. The study will also prioritise the drivers and resources required to implement LSCM in a healthcare operations context. The prioritisation is based on the relative weights of various initiatives on a range of performance measures. Twenty-four LSCM initiatives were identified using a comprehensive literature review. Q-sort method was used to divide those initiatives into four categories. Fuzzy AHP was then used to prioritise the four categories based on relative weight of importance of each category on three different performance dimensions. The result shows that continuous improvement is a dominating LSCM initiative in increasing operational and financial performance, while enterprise alignment/integration is a dominating initiative in enhancing organisational image and operational performance. However, lack of homogeneity among LSCM initiatives suggests that there is a need for careful consideration when implementing them in healthcare organisations. Furthermore, customer needs and the influence of competitor’s actions are the most important drivers to encourage hospitals to adopt an LSCM strategy. This is one of the first studies to examine the prioritisation and ranking of LSCM constructs on performance within the context of the healthcare industry.
Item Type: | Article |
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Uncontrolled Keywords: | Lean supply chain; Performance measures; Healthcare |
Faculty / School / Research Centre / Research Group: | Faculty of Business Faculty of Business > Department of Systems Management & Strategy |
Last Modified: | 09 Apr 2020 08:21 |
URI: | http://gala.gre.ac.uk/id/eprint/14599 |
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