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Research Article

Agile supply chain analytic approach: a case study combining agile and CRISP-DM in an end-to-end supply chain

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ABSTRACT

In the current competitive environment, Big Data Analytics (BDA) has become a prominent metric to reach an integrated, efficient, and effective supply chain (SC). In the literature, the BDA capabilities have been at the forefront of research in operational supply chain management (SCM), however, there has been a paucity of literature regarding its technical and organisational implementation in the industry. Hence, despite its capabilities and importance, many organisations are reluctant to adopt this promising concept in SC operations management, due to the ambiguity of its practical implementation from a technical and organisational point of view. To address this gap, this paper draws on agile project management, data mining model processing, and case study approaches to propose and test a framework for BDA organisational implementation in SCM. The feasibility of the proposed framework is illustrated and tested by a case study in an end-to-end SC within a large corporation. Our contribution lies in handling the organisational, managerial, and socio-technical challenges of BDA projects implementation in SCM.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Fatima-Ezzahra Hamdani

Fatima-Ezzahra Hamdani received the Ph.D. degree in Industrial Engineering from the Jean Monnet University, Saint Etienne, France, in 2018. She is currently working as a Postdoctoral Researcher at the ERPI laboratory (Research Team on Innovative Processes), University of Lorraine, France. She works in industrial engineering, and her research interests are Multi-Agents Systems, Artificial Intelligence, and Data Analysis.

Ivan Andres Quintero Quintero

Ivan Andres Quintero Quintero is currently a Digital Transformation Project Manager of Supply Chain Execution, Mars Inc. He drives the deployment of new digital methods and tools in collaboration with stakeholders across functions in Europe to enable value creation and drive business objectives. He works with Product & Agile, Design Thinking and Analytics methods to ensure project outcomes are achieved in terms of scope, cost, time & quality.

Manon Enjolras

Manon Enjolras completed the Ph.D. in Industrial Systems Engineering at Université Lorraine, Nancy, France. She is currently an Associate professor at the ERPI laboratory (Research Team on Innovative Processes), University of Lorraine (France). She works on innovation metrology and on the implementation of multi-criteria analysis methodologies for the design of decision-making tools dedicated to companies.

Mauricio Camargo

Mauricio Camargo is currently the Head of the ERPI laboratory (Research Team on Innovative Processes), University of Lorraine (France) and professor for Management of Technology and Innovation at the ENSGSI Nancy (School of Industrial Engineering in the University of Lorraine). His main research interests are new product development, decision-making in product-process design, and cost estimation, models. He earned his Ph.D. in Automatics of industrial and human systems from Université Polytechnique Hauts-De-France, Valenciennes, France.

Davy Monticolo

Davy Monticolo is a Professor at the University of Lorraine since 2010. He got his HDR in December 2015 and he received his Ph.D. (2008) in the University of Technology of Belfort-Montbélaird (France). He is currently on the board of the French Research Group in Artificial Intelligence. His research interests are Web Intelligence, Multi-Agents Systems, Knowledge Engineering and Modelling, Semantic Web and Ontologies used to design knowledge-based systems.

Christelle Lelong

Christelle Lelong is currently a Senior Manager of Change and Innovation Delivery in Digital Supply Chain Execution, Mars Inc. She drives the strategy of Digitization and launch of Digital Concepts which prove value creation in Manufacturing and Supply Chain; this with focus on User Centricity, Inclusion, and Diversity.

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