THE ART OF INSIGHT IN SCIENCE AND ENGINEERING Mastering Complexity

Decomposition and Interfaces Revisited

Abstraction and hierarchical decomposition are key principles for mastering complexity in science and engineering. In Software Engineering, the interfaces that result from the application of those principles play a crucial role, particularly when building large and complex systems. This article revisits general principles behind abstraction and decomposition and presents a collection of fundame...

Mastering a Bacterial Photosynthetic System

Developing a fuzzy group decision making approach for project manager selection considering the static complexity of construction projects

Due to the particular importance of projects in human life and in organizations, proper project management has been always regarded highly by researchers and practitioners. Recent advances in technology and fundamental changes in most scientific areas have affected projects and made their nature and environmental circumstances much more complex than in the past. Fortunately, in recent years, ma...

Mastering Model Driven Engineering complexity by interactive visualization

Model Driven Engineering (MDE) can play an important role for the design of applications in many domains. Its principles that are separations of concerns, capitalisation of knowledge thanks to models, meta models, and transformations, are well accepted today. Then the approach becomes a good candidate for scaling up to more complex applications. However the use of model driven engineering puts ...

An Algorithm to Compute the Complexity of a Static Production Planning (RESEARCH NOTE)

Complexity is one of the most important issues of any production planning. The increase in complexity of production planning can cause inconsistency between a production plan and an actual outcome. The complexity generally can be divided in two categories, the static complexity and the dynamic complexity, which can be computed using the ant ropy formula. The formula considers the probability of...