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The purpose of this study is to recognize the empirical inhibitors of knowledge management (KM)in value co-creation in the dairy production context.

This study undertook a qualitative multiple-case study strategy. The datas collected comes from five players in the dairy sector that jointly co-create value. In addition to in-depth interviews with the actors, this study considers complementary documents, with reports, management flowcharts. Content analysis was conducted based on Bardin (2011).

This study identified three empirical barriers for KM in managing value co-creation in dairy production. The inhibitors observed were related to ineffective communication among stakeholders, organizational culture and high competitiveness. This study identified that sharing and KM among actors is a way to stimulate innovative solutions via value co-creation in dairy production.

This study explores the context in the Center-South of Brazil; therefore, it is not generalizable.

The findings help the managers to deal with the KM inhibitors in the value co-creation context and define actions based on the strategies listed to overcome the barriers identified in dairy production. This study can also help managers to change the mindset of organizations by adding KM to the organizational culture, as it identifies existing barriers in the sector and contributes by suggesting attitudes and tools capable of overcoming such difficulties.

Professionals in the dairy sector, especially the small rural producer, can have access to knowledge and professional training through the value co-creation among actors in the dairy sector. In this sense, the milk quality, for example, the nutritional characteristics and traceability of the milk, can be improved for the final consumer.

This study reveals the empirical inhibitors of KM presents in the value co-creation in the dairy production context. Additionally, insights to deal with the lack of sharing information and knowledge among multiple actors.

In response to mounting global concerns about climate change and scarcity of natural resources, manufacturers have been pressured to develop strategies and enhance their sustainability performance. The integration of sustainable lean manufacturing (SLM) during value chain processes could balance environmental, social and economic concerns into their decision-making, which not only ensures responsible practices but also drives efficiency and success. This paper aims to identify, measure and prioritize metrics to develop a performance measurement system that assesses the multi-dimensional performance of SLM.

Strategic decision-making has some conflicting criteria and objectives to be considered simultaneously. The Multi-Criteria Decision Making provides a foundation for selecting, sorting and prioritizing these strategies with the determination of drivers and indicator weight.

The performance model enables the decision-makers to consistently evaluate the level of sustainability through a multidimensional framework, which could support the assessment of the existing sustainability of a manufacturing process and analyze opportunities for improvement. This study divided the performance into five drivers: Quality, Operational, Finance, Environment, Safety and People and selected 17 KPIs for assessing the multi-dimensional performance of SLM organizations. The research results revealed an organization's perspective transition from strategies focused on operational and economic performance to a more sustainable ideal with greater importance for social and environmental directions.

This framework will be facilitated by the selection of the most significant drivers and the development of strategic plans for the successful adoption of sustainable manufacturing. The practices support implementation, pursue competitive advantages and sustain manufacturing, meeting strategic requirements of suitable and lean performance. With the limited resources of the organizations, the framework proposed will guide the priorities and actions to be taken toward the SLM.

Maintenance represents an indispensable role in the productive sector of the steel industry. The increasing use of operating with a high level of precision makes hydraulic systems one of the issues that require a high level of attention. This study aims to explore an empirical investigation for decreasing the occurrences of corrective maintenance of hydraulic systems in the context of Lean 4.0.

The maintenance model is developed based on action-research methodology through an empirical investigation, with nine stages. This approach aims to build a scenario to analyze and interpret the occurrences, seeking to implement and evaluate the actions to be performed. The undertaken initiatives demonstrate that this approach can be applied to optimize the maintenance of an organization.

The main contribution of this paper is to demonstrate that the applied method allows the overviewing results, with a qualitative approach concerning the maintenance actions and management processes to be considered, allowing a holistic understanding and contributing to the current literature. The results also indicated that Lean 4.0 has direct and mediating effects on maintenance performance.

This research intends to propose an evaluation framework with an interdimensional linkage between action research methodology and Lean 4.0, to explore an empirical investigation and contributing to understanding the actions to reduce the occurrences of hydraulic systems corrective maintenance in a production line in the steel industry.