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2020 | OriginalPaper | Chapter

A Multi Perspective Framework for Enhanced Supply Chain Analytics

Authors : Owen Keates, Moe Thandar Wynn, Wasana Bandara

Published in: Business Process Management

Publisher: Springer International Publishing

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Abstract

Supply chain analytics, especially in the field of food supply has become a strategic business function. Monthly executive sales and operation planning meetings utilize supply chain analytics to inform strategic business decisions. Having identified gaps in the strategic management of food supply chains, a multi perspective supply chain analytics framework is developed incorporating process and data attributes to support decision making. Using Design Science as the research methodology, a novel framework with a supporting IT artefact is built and presented with early evaluation results.

The resulting multi perspective supply chain analytics framework equips practitioners to identify strategic issues, providing important decision support information. The case study further illustrates the framework has applicability across all integrated food supply chains. This research has highlighted gaps in the application of process science to the supply chain management domain, particularly in the area of simultaneous assessment of process and data. The outcomes contribute to research in this domain providing a framework that will enhance the significant reference modelling and operational management work that has occurred in this field.

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Title: A Multi Perspective Framework for Enhanced Supply Chain Analytics
Authors: Owen Keates
Moe Thandar Wynn
Wasana Bandara
Publisher: Springer International Publishing
Book: Business Process Management
Print ISBN: 978-3-030-58665-2

Electronic ISBN: 978-3-030-58666-9

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-58666-9_28

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