Linking Modular Product Structure to Suppliers’ Selection Through PLM Approach: A Frugal Innovation Perspective

Part 5: PLM and InnovationInternational audienceTo maintain market share rates, frugal innovation is a main solution for competitive enterprises to meet the customer’s needs in different regional markets. The co-evolution of product and production network aims to manage local production sites of the OEM and several collaborative relations between OEM and supplier companies for better management of the project resources in the regional market. Supplier selection and evaluation are among the main factors to be resolved at the earlier stage to guarantee successful results from any OEM-Supplier collaboration. This paper discusses the potential of using a modular-based approach as a kernel methodology to support the co-evolution of product structure and production network definition, especially in the case of supplier selection for frugal innovation perspective. The application of PLM approach to manage interconnected data describing the co-evolution of the product structure and production network is also discussed

Linking modular product structure to suppliers' selection through PLM approach: A Frugal innovation perspective

International audienceTo maintain market share rates, frugal innovation is a main solution for competitive enterprises to meet the customer's needs in different regional markets. The co-evolution of product and production network aims to manage local production sites of the OEM and several collaborative relations between OEM and supplier companies for better management of the project resources in the regional market. Supplier selection and evaluation are among the main factors to be resolved at the earlier stage to guarantee successful results from any OEM-Supplier collaboration. This paper discusses the potential of using a modular-based approach as a kernel methodology to support the co-evolution of product structure and production network definition, especially in the case of supplier selection for frugal innovation perspective. The application of PLM approach to manage interconnected data describing the co-evolution of the product structure and production network is also discussed

Customer feedback gathering and management tools for product-service system design

International audienceModern manufacturing industries are being shifted towards a new business model where low cost and high customer value solutions should be designed and provided. The use of advanced technology and mobile applications will support companies to approach customers, and extract and analyze their opinion. Towards that, this research work presents tools for customers' feedback gathering and management to support efficient and accurate product and service designs. Mobile applications for customer feedback gathering on products and services and an importance-satisfaction analysis based on modular design approach are proposed. The tools are validated in a real case study from the robotics industry

Modularity as a support for frugal product and supplier network co-definition under regional market constraints: a mirroring hypothesis application

International audienc

A cloud-based, knowledge-enriched framework for increasing machining efficiency based on machine tool monitoring

The ever-increasing complexity in manufacturing systems caused by the fluctuating customer demands has highly affected the contemporary shop-floors. The selection of the appropriate cutting parameters is becoming more and more challenging due to the increasing complexity of products. Until now, the knowledge of the machine operators concerning the modification of the machining parameters and the monitoring information is not sufficiently exploited by the optimization systems. Web and Cloud technologies together with wireless sensor networks are required to capture the shop-floor data and enable the ubiquitous access from multiple IT tools. For addressing these challenges, this research work proposes a Cloud-based, knowledge-enriched framework for machining efficiency based on machine tool monitoring. More precisely, it focuses on the optimization of the machining parameters and moves through an event-driven optimization algorithm, utilizing the existing machining knowledge captured by the monitoring system. Based on the features of a new part, a similarity mechanism retrieves the cutting parameters of successfully executed past parts that have been machined. Afterwards, the optimization module, using event-driven function blocks, adapts these parameters to efficiently optimize the moves and the cutting parameters. The monitoring system uses a wireless sensor network and a human operator input via mobile devices. A case study from the mould-making industry is used for validating the proposed framework