Welcome to Scientific Oasis (SCIO) - Association for Engineering, Decision Making, and Operational Research

Bridging Theory and Practice in Advanced Engineering and Decision Sciences.

Advanced Engineering Systems

Innovative solutions in complex engineering challenges

Decision Science and Analytics

Data-driven approaches for informed decision-making

Operational Research and Optimization

Enhancing efficiency through optimization techniques

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Data Analytics and Big Data

The increasing availability of large datasets has led to a growing intersection between operational research (OR) and data analytics.

Data Envelopment Analysis

Data Envelopment Analysis (DEA) is a non-parametric method used for assessing the relative efficiency of decision-making units (DMUs) in the presence of multiple inputs and outputs.

Decision analysis

Decision analysis is a systematic, quantitative approach to evaluating decision alternatives in situations involving uncertainty.

Forecasting

Forecasting methods are used to predict future events or trends based on historical data and other relevant information.

Heuristics

Heuristic methods involve using rules of thumb or approximate algorithms to find good solutions to complex optimization problems in a reasonable amount of time.

Machine Learning and Artificial Intelligence

Integrating machine learning (ML) and artificial intelligence (AI) algorithms into operational research models enhances the ability to handle complex and dynamic systems.

Multicriteria Analysis

Multi-criteria modelling, also known as multi-criteria decision-making (MCDM), is a branch of decision science that deals with problems involving multiple conflicting objectives or criteria.

Optimisation

Optimisation is a fundamental concept in mathematics, engineering, economics, and computer science, focusing on identifying the most effective or efficient solution to a problem within a given set of constraints.

Vehicle Routing Problem

The Vehicle Routing Problem (VRP) is a classic optimization challenge in the fields of operational research, logistics, and supply chain management.

Who we are

Advancing Engineering, Decision Sciences, and Operational Research.

Scientific Oasis (SCIO) is an international association of researchers, engineers, and analysts committed to solving complex challenges through interdisciplinary innovation. We connect theory with practice across industries – empowering professionals to drive sustainability, optimize systems, and lead technological progress.

Our Values

Clarity.
Rigor.
Impact.

We believe in clear, critical thinking, rigorous analysis, and open collaboration as the pillars of our scientific community.

Our Vision

Our vision is to drive transformative progress at the intersection of engineering sciences, decision sciences, and operational research — shaping a future where innovation enhances industries such as manufacturing, energy, transportation, and healthcare worldwide.

Our Mission

Our mission is to bridge theory and practice by applying advanced engineering systems, data-driven decision-making, and optimization strategies — empowering researchers, practitioners, and industries to solve complex, real-world challenges.

Connecting Engineering, Decision Sciences, and Operational Research for Real-World Impact.

Bridging Theory and Practice to Drive Data-Informed Solutions.

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Live as if you were to die tomorrow. Learn as if you were to live forever.

If you want to learn more about our values, vision or mission, feel free to contact us and we will get back to you as soon as possible!