Beyond S&OP implementation: A maturity model and meta-framework for assessing and managing evolution paths

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Abstract

Goal: The purpose of this paper is to present an S&OP meta-framework that combines specific S&OP tools and an original S&OP maturity model as an approach to reduce uncertainty and increase commitment in the S&OP implementation process. Design / Methodology / Approach: A systematic review led to the development of a six-pillar S&OP tool framework. Then, a maturity model and an S&OP implementation meta-framework, were defined for managing the introduction and evolution of S&OP dimensions. Results: The S&OP maturity model provides a structured model for identifing critical gaps in the S&OP process. Furthermore, the S&OP meta-framework-combining Action Research (AR), Kotter’s 8 steps, and agile project management approaches-provides an holistic implementation guide for promoting large-scale transformation in S&OP implementation efforts. Limitations of the investigation: The S&OP maturity model and implementation system are new empirical contributions to the literature and have not been validated in this article. Practical implications: This work provides a set of tools to address specific S&OP environments; a maturity model to diagnose the S&OP process; and an S&OP implementation framework to reduce uncertainty and increase commitment in the change process. Originality / Value: This article fills a literature gap of necessary S&OP implementation practices, contributing to: (1) an S&OP tools framework, (2) an S&OP maturity model based on evolutionary boundaries correlated to the presence of specific tools, processes and metrics, and (3) an S&OP implementation meta-framework, raising awareness in under researched S&OP dimensions for more oriented research and practices needed to promote sustainable change.

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APA

Neto, J. R., Barcellos, P. F. P., & Panizzon, M. (2022). Beyond S&OP implementation: A maturity model and meta-framework for assessing and managing evolution paths. Brazilian Journal of Operations and Production Management. Associacao Brasileira de Engenharia de Producao. https://doi.org/10.14488/BJOPM.2021.049

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