Designing the Enterprise Architecture of an Innovative Plant Engineering Company

Abstract

Japan faces significant challenges such as a declining workforce due to aging demographics and the need to decarbonize its pivotal industrial sector. Plant engineering companies, which form the core of manufacturing and energy-related businesses, are expected to contribute to addressing these challenges. This thesis analyzes and proposes solutions to overcome the innovation dilemmas faced by major Japanese companies, including plant engineering firms.

Specifically, an ARIES analysis was conducted to design new approaches to foster innovation. The results suggested that traditional business management practices might not be suitable for new venture development, prompting proposals for organizational structures and systems that simultaneously support existing and new business initiatives.

Furthermore, to aid long-term investment decisions, this study developed a unique data-driven method, the Decision-Making Support Model (DMSM). Applying this model to a plant engineering company as a case study confirmed its capability to support data-driven decision-making.