Management of «Systematic Innovation»: A kind of quest for the Holy Grail!

Abstract

In this paper, authors propose a contribution for improving the open innovation processes. It shows the necessity to get an efficient methodology for open innovation in order to build a computer aided tool for inventive design in Process Systems Engineering (PSE). The proposed methodology will be evocated to be fully used in the context of the "revolutionary" concepts around the so-called factory for the future, also called integrated digital factory, innovative factory.. . As a result the main contribution of this paper is to propose a software prototype for an Open Computer Aided Innovation 2.0. By definition this open innovation relies on collaboration. This collaboration should enable a community, with a very broad spectrum of skills, to share data, information, knowledge and ideas. As a consequence, a first sub objective is to create a methodological framework that takes advantages of collaboration and collective intelligence (with its capacity to join intelligence and knowledge). Furthermore, the raise of the digital company and more particularly the breakthroughs in information technologies is a powerful enabler to extend and improve the potential of collective intelligence. The second sub objective is to propose a problem resolution process to impel creativity of expert but also to develop, validate and select innovative solutions. After dealing with the importance of Process Innovation and Problem solving investigation in PSE, the proposed approach originally based on an extension of the TRIZ theory (Russian acronym for Theory of Inventive Problem Solving), has been improved by using approach such as case-based reasoning, in order to tackle and revisit problems encountered in the PSE. A case study on biomass is used to illustrate the capabilities of the methodology and the tool.

Ebm – Based Innovation Strategy for Integrated Management of Marine Ecological Protection

“…Mohan et al demonstrated the application of a common framework for establishing cost-effective measures and ecosystem-based integrated management practices [5]. Negny et al considered various social goals, such as sustainable food supply, clean energy and healthy Marine ecosystem, as well as management measures selected to achieve these goals, providing a comprehensive perspective for ecosystem-based management [6]. Marchi et al proposed five characteristics of modelbased information, and proposed Suggestions for the success information of ocean management decision based on the BBS framework of ocean model [7].…”