Audit and evolve logistics support processes
Improving logistics support activities begins with a clear understanding of existing practices, their effectiveness, and their limitations.
LGM conducts audits and benchmarks of engineering and logistics support management processes to assess their maturity, identify dysfunctions, and uncover opportunities for improvement tailored to each organization’s challenges.
This approach may include:
- analyzing processes and operating methods;
- assessing the consistency of the methods and tools used;
- identifying friction points and breaks in information flows;
- comparing against best practices;
- defining recommendations and improvement plans.
The goal is to propose pragmatic changes tailored to on-the-ground constraints and program objectives. Process improvement thus helps streamline activities, strengthen coordination between functions, and better manage the resources deployed.
Developing new value-added services
Evolving needs among industrial companies are opening up new opportunities for logistics support activities. User expectations, technological changes, and new uses call for a rethink of the services offered and how they are implemented.
LGM supports the design and development of new customer services, drawing on needs analysis, domain expertise, and the identification of solutions tailored to operational challenges.
This approach aims to develop practical solutions to the challenges clients face, whether by improving the efficiency of maintenance activities, facilitating access to logistics support information, or evolving working methods.
By combining an understanding of how services are used with technical expertise, we help develop relevant services that can meet organizations’ current and future needs.
Assess and integrate innovative methodologies and technologies
Technological advances offer new opportunities to improve logistics support processes, automate certain activities, and make better use of available information. However, integrating them requires assessing their relevance in light of actual needs, technical constraints, and performance objectives.
LGM helps assess and integrate innovative methodologies and technologies into logistics support systems.
Our teams examine potential solutions, analyze their potential benefits, and help define the conditions for integrating them into existing processes.
This approach makes it possible to select solutions suited to how they will be used, limit the risks associated with change, and support the controlled evolution of practices. Innovation thus becomes a means of improving the efficiency of logistics support activities, rather than an end in itself.
Identify digitalization and information systems needs
The digital transformation of logistics support requires suitable tools that align with business processes and facilitate the flow, consolidation, and use of data.
LGM helps organizations identify their digitalization and information systems needs, taking into account existing practices, operational constraints, and desired objectives.
This work may include analyzing existing tools, identifying functional requirements, examining interfaces between systems, and defining the changes needed.
The goal is to promote greater digital continuity between engineering, maintenance, and logistics activities. Suitable information systems help reduce data duplication, minimize re-entry, and facilitate access to information needed for decision-making.
The digitalization of logistics support is therefore part of a comprehensive process optimization approach, with particular attention to data consistency and how teams use it.
Assess and leverage logistics support and maintenance data
Logistics support and maintenance data are an essential resource for understanding system behavior, identifying areas for improvement, and guiding decisions.
LGM provides its expertise in analyzing this data to assess its quality, consistency, and relevance to business needs.
This expertise helps identify inconsistencies, better understand the available information, and identify opportunities to improve how it is structured and used.
By linking data to operational processes, teams can gain a more reliable view of logistics support activities and better target improvement actions.
This lessons-learned (REX) approach helps strengthen maintenance management, makes it easier to identify behavioral trends, and supports decision-making based on reliable information.