Inventory management of perishable health products: a decision framework with non-financial measures
PurposeThis research proposes a decision framework for using non-financial measures to define a replenishment policy for perishable health products. These products are perishable and substitutable by nature and create complexities for managing inventory. Instead of a financial measure, numerous meas...
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Published in | Industrial management + data systems Vol. 120; no. 5; pp. 987 - 1002 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Wembley
Emerald Publishing Limited
11.05.2020
Emerald Group Publishing Limited |
Subjects | |
Online Access | Get full text |
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Summary: | PurposeThis research proposes a decision framework for using non-financial measures to define a replenishment policy for perishable health products. These products are perishable and substitutable by nature and create complexities for managing inventory. Instead of a financial measure, numerous measures should be considered and balanced to meet business objectives and enhance inventory management.Design/methodology/approachThis research applies a multi-methodological approach and develops a framework that integrates discrete event simulation (DES), analytic hierarchy process (AHP) and data envelopment analysis (DEA) techniques to define the most favourable replenishment policy using non-financial measures.FindingsThe integration framework performs well as illustrated in the numerical example; outcomes from the framework are comparable to those generated using a traditional, financial measures-based, approach. This research demonstrates that it is feasible to adopt non-financial performance measures to define a replenishment policy and evaluate performance.Originality/valueThe framework, thus, prioritises non-financial measures and addresses issues of lacking information sharing and employee involvement to enhance hospitals' performance while minimising costs. The non-financial measures improve cross-functional communication while supporting simpler transformations from high-level strategies to daily operational targets. |
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ISSN: | 0263-5577 1758-5783 |
DOI: | 10.1108/IMDS-11-2019-0594 |