Nguyen, T., Li, Z. H. O. U., Spiegler, V., Ieromonachou, P., & Lin, Y. (2018). Big data analytics in supply chain management: A state-of-the-art literature review. Computers & Operations Research, 98, 254-264.

Mots clefs : Literature review, Big data, Big data analytics, Supply chain management, Research directions

Cette recherche réunie toutes les recherches contemporaines sur l’utilisation de la big data dans le cadre de la chaine d’approvisionnement (CGA). En effet, Il reste des zones d’ombre en terme de recherche à ce niveau qui permettent a priori de s’orienter sur d’autres recherches complémentaires. Dans quel cadre la supply chain requière-t-elle la big data et comment s’applique-t-elle ?

Développement :

Cet article a pour objectif de synchroniser les données déjà relevés sur la big data afin de pouvoir développer un nouvel agenda. De ce fait elle propose un nouveau cadre de classification basé sur la méthode d’analyse de Mayring (2008) en répondant principalement à 4 questions de recherche.

Cette article relate que la big data est devenu indispensable dans la chaîne d’approvisionnement de par une amélioration de l’agilité et la réduction des coûts opérationnels.

Le big data est encore assez méconnu des organisations puisque les travaux de recherches effectués portent sur des fonctions opérationnelles spécifiques de la supply chain. Ces auteurs ont montré comment la big data a été appliquée dans la gestion de la chaîne d’approvisionnement d’une manière plus générale.

Sur les 1565 articles sur la « big data » relevés entre 2011 et mi 2017, seul 88 articles ont été retenus pour un examen plus complet. A priori, les autres ne possédaient pas tous les critères de sélection (filtrage sur mots clefs par exemple).

La majorité des littératures publiées proviennent des années 2014 à 2017, là ou nous possédions davantage de données et d’informations sur la big data.

Cela traduit un intérêt certain pour l’implémentation de la big data pour la gestion des chaînes d’approvisionnement.

La BDA est principalement utilisé comme un outil d’aide à la décision des entreprises dans le cadre de la CGA. La BDA pour soutenir la planification logistique est de plus en plus répandu. Plus globalement, les recherches initiées sur la BDA retrace beaucoup d’étapes de la supply chain (stocks, décision, demande, maintenance, diagnostic de la production, ect.).

Elle est utilisée principalement dans le domaine de la logistique, avec une prédominance pour la gestion du transport et sur 3 notions fondamentales des systèmes de transport intelligents (STI) : pour optimiser les itinéraires, pour surveiller en temps réel le trafic ainsi que la gestion proactive de la sécurité.

Les études sur le BDA dans le domaine de l’approvisionnement sont uniformément réparties entre les trois principales applications que sont la sélection des fournisseurs, l’amélioration des coûts d’approvisionnement et l’analyse des risques d’approvisionnement. Le BDA a été largement adopté pour faciliter le processus de sélection des fournisseurs et des ef- forts récents ont été réalisés pour intégrer cette activité aux problèmes d’allocation des commandes et pour réduire les coûts

Il existe différentes techniques de BDA utilisées dans le cadre de la gestion de la chaine d’approvisionnement. Parmi les plus connues et les plus polyvalentes, nous avons l’algorithme de clustering K-means ou encore l’ARM (technique) qui sont tous deux très adaptables. Les algorithmes se différencient en fonction de l’objectif visé. Par exemple nous avons le SVM pour la classification ou encore l’approche heuristique pour l’optimisation et les réseaux neuronaux dans le modèle de prévision.

Pour que le BDA soit efficace, il faut l’intégrer à toutes les étapes et fonctions de la gestion de la chaine d’approvisionnement. Sans cela, le BDA ne produit pas d’avantage concurrentiel. Il s’agit d’effectuer une intégration horizontale de la supply chain.

Conclusion :

L’article a mis en relief les réponses à 4 questions distinctes autour de la BDA et de la supply chain. En effet, les réponses à ces questions ont permis de révéler certaines lacunes sur l’application de la BDA d’une manière générale.

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