Exploring the shortcomings in formal criteria selection for multicriteria decision making based inventory classification models: a systematic review and future directions
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Date
2024-03-06
Open Access Location
Authors
Journal Title
Journal ISSN
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Publisher
Taylor and Francis Group
Rights
(c) 2024 The Author/s
CC BY 4.0
CC BY 4.0
Abstract
Criteria selection significantly impacts the reliability and utility of multicriteria decision making (MCDM) models. While criteria may vary across industries, a formalised criteria selection process is influential in determining MCDM model outcomes. This article analyses and compares the criteria selection approaches used in 62 articles that apply MCDM-based inventory classification models, contrasting them with methodologies outside the field. Our findings reveal a conspicuous absence of formal criteria selection methods within MCDM-based inventory classification research. The limited application of quantitative and qualitative approaches indicates that this field has not kept pace with methodological advances in criteria selection. To bridge this gap, we advocate for further research aimed at developing a conceptual framework for criteria selection tailored to inventory classification. We also suggest evaluating the impact of formal criteria selection processes on inventory management decisions and exploring the benefits of integrating artificial intelligence into criteria selection for inventory classification studies. Additionally, this article identifies several limitations related to criteria selection for practitioners employing MCDM-based inventory classification models.
Description
Keywords
Multicriteria decision making, inventory classification, criteria selection, criteria selection process, inventory management
Citation
Theunissen FM, Bezuidenhout CN, Alam S. (2024). Exploring the shortcomings in formal criteria selection for multicriteria decision making based inventory classification models: a systematic review and future directions. International Journal of Production Research. Latest Articles. (pp. 1-21).