Understanding Industrial Designed Experiments

How to Analyze Data and Design Statistical Experiments for Improved Analytical Decision Making

Getting Started in Extracting Insights from your Organization's Data

Manufacturing processes, scientific experiments, research programs, tax collection systems, are all endeavors once born as projects. Project engineering is the application of science to the development and analysis of project plans, and to the supervision of their realization. This book is a unified treatise on the technology of project planning and execution. It provides a systematic understanding of the different methodological approaches to the development and supervision of project plans. Readers are given a technical introduction to the main methodologies, such as graphs, activity networks, CPM, PERT, GERT, and Petri nets, and given guidance as to when and why to apply one technique rather than another.

Physical interaction platforms (PIPs) such as living labs, innovation labs or co-working spaces serve as environments for ideas, experiments, and collaborative innovation. They play a key role in value creation by orchestrating ecosystem actors and facilitating interaction, e.g. the exchange of goods, services, or social currency such as information. This book explores how PIPs can be systematically designed. It adopts a platform perspective, focusing on value creation for manifold actors as a fundamental element for the sustainable operation of a platform. Well-established insights from the design of digital platforms are taken as a foundation and adapted to the physical world. This analysis is compiled of 4 major studies, structured along the lifecycle of a PIP. The first study explores design dimensions of PIPs as a basis for a design process. The second study explores the design process of a PIP itself.

Hypothesis Testing, ANOVA, and Design and Analysis of Experiments (DOE) for the Manufacturing Professional

Self Learning Course