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Carlos Raymundo

Researcher at Universidad Peruana de Ciencias Aplicadas

Publications -  139
Citations -  302

Carlos Raymundo is an academic researcher from Universidad Peruana de Ciencias Aplicadas. The author has contributed to research in topics: Lean manufacturing & Productivity. The author has an hindex of 7, co-authored 135 publications receiving 205 citations.

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Book ChapterDOI

Lean Manufacturing Model for the Reduction of Production Times and Reduction of the Returns of Defective Items in Textile Industry

TL;DR: This paper proposes using the lean manufacturing methodology to reduce production times through a simulation of the current and proposed processes with the application of lean thinking tools to reduce waste.
Journal ArticleDOI

Sustainable Energy Model for the production of biomass briquettes based on rice husk in low-income agricultural areas in Peru.

TL;DR: In this article, a sustainable energy model is proposed based on rice husk and the development of briquettes made from agricultural waste, which will increase efficiency in the domestic sector, and potentially replace conventional polluting fuels such as firewood.
Proceedings ArticleDOI

Collaborative Culture Management Model to Improve the Performence in the Inventory Management of a Supply Chain

TL;DR: In this article, the authors proposed a collaborative culture management model for inventory management based on the management of interorganizational change, which can improve the practices of management in the supply chain.
Book ChapterDOI

Improvement Proposal for the Logistics Process of Importing SMEs in Peru Through Lean, Inventories, and Change Management

TL;DR: In this paper, a change management model is proposed to improve the logistics process of a Peruvian SME importer of household goods, whose satisfactory results implied an increase in available storage capacity, reduction of logistics costs, satisfaction of change, and organizational culture.
Journal ArticleDOI

Business information architecture for successful project implementation based on sentiment analysis in the tourist sector

TL;DR: This work proposes to detect the problems that limit a company by re-engineering the processes, enabling the implementation of a business architecture based on sentimental analysis, allowing small and medium-sized tourism enterprises (SMEs) to make better decisions and analyze the information that most possess, without knowing how to exploit it.