Percorrer por autor "Batista, Manuela"
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- Education for the Digital Industry: Opportunities and Challenges of Experience-Based Expertise and Open Innovation.Publication . Chkoniya, V.; Gonçalves, F. C.; Batista, ManuelaEducation holds the power to transform and enrich the lives of people. In the era of the digital industry, where data is omnipresent in every walk of life and new trends impact society and future jobs, humans continue to evolve through education and developing mechanisms to improve education with data science in the heart of it. This chapter demonstrates that experience-based expertise and open innovation must be understood as a single process, where living labs that involve academies and enterprises create unique conditions for society's progress. There is a trinomial relationship between academy, society, and industries, which are interestingly far more exploited than the education and research. Effective management of the knowledge and information transferred between open innovation ecosystem partners is crucial. The scientific development of both concepts is an active field in the academic community, and new ideas appear, opening new paths of knowledge transfer methods with knowledge from data.
- Optimizing the Design and Planning of a Sugar-Bioethanol Supply Chain under Uncertain Market ConditionsPublication . Lima, Camilo; Batista, Manuela; Relvas, Susana; Barbosa-Póvoa, AnaIn today’s society, the so-called green consciousness about environmental issues has triggered an intense search for renewable energy sources. Bioenergy, obtained by transformation processes of biomass such as castor bean or sugar cane, plays a decisive role in this context, providing much of the energy used in the electricity production, heat supply, and transport sector. Sugar cane, in particular, has assured considerable economic relevance due to its multiple applications. It is commonly employed as fodder for animal feed or as raw material for producing electricity, bioethanol, sugar, molasses, and other bioproducts. Currently, the integrated management of all stages of the transformation processes of this biomass has become a major challenge due to the complex interactivity and exchanges between all the actors present in the logistics chain. In this work, a scenario-based approach built upon a mixed-integer linear programming (MILP) formulation is proposed aiming at designing and planning, under demand uncertainty, a sugar-bioethanol supply chain network whose harvesting, production, storage, and distribution activities are integrated. The model’s optimization objective is to maximize the expected net present value (ENPV) when deciding on the location, size, and technologies of industrial parks and storage sites, the size of truck fleets, which markets to serve, and inventory levels, among other important issues. The adequacy and efficiency of the MILP model are illustrated through a case study based on the Brazilian sugar-bioethanol industry.
- Teaching and learning laboratories as form of building knowledge and developing skillsPublication . Batista, Manuela; Gonçalves, Fernando; Chkoniya, Valentina