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Pedro F. Cunha

Researcher at Instituto Politécnico Nacional

Publications -  18
Citations -  274

Pedro F. Cunha is an academic researcher from Instituto Politécnico Nacional. The author has contributed to research in topics: Business model & Performance measurement. The author has an hindex of 9, co-authored 16 publications receiving 255 citations.

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Framework for performance measurement and management in a collaborative business environment

TL;DR: A generic framework and process flow is proposed with the objective of evaluating the individual partners in terms of various performance indicators such as key success factors, key performance factors and key performance indicators (KPI) among collaborative partners to help partners in the network to build valuable trust, cooperation and coordination.
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A methodology for product-service systems development

TL;DR: In this paper, a new methodology for the development of product-service systems (PSS) is proposed, which promotes the execution of processes for designing products and services, as a parallel sequence of activities, which leads to a consistent product service development.
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Digital Enterprise Technology

TL;DR: Computer-based methods for design and manufacture, supported by electronic networking and communication infrastructure (e-commerce), represent an essential level of technology required by industry in order to support competitive manufacturing operations on a regional and global basis.
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Digital enterprise technology: perspectives and future challenges

TL;DR: This special edition of the International Journal of Computer Integrated Manufacturing includes enhanced versions of unprinted papers selected from the papers accepted and presented at the 3rd International, CIRP sponsored Conference in Digital Enterprise Technology (DET’06), held in Setúbal, Portugal, in September 2006.
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Performance evaluation within cooperate networked production enterprises

TL;DR: The problem of performance evaluation is discussed, mainly: how appropriate measures can be found to accurately evaluate the production network performance and what are the appropriate ways to implement those measures.