A methodological toolkit for investment project assessment and decision-making using enterprise information systems
Abstract
This article examines a methodological toolkit for the assessment of and decision-making regarding investment projects at high-tech enterprises, based on the combined use of three classes of information systems: PLM (Product Lifecycle Management), PPM (Project and Portfolio Management), and ERP (Enterprise Resource Planning). The objective of this study is to develop a system of metrics and a managerial decision-making algorithm integrated with data sources within the aforementioned systems to enhance the soundness of investment decisions at every stage of project implementation. The methodological framework draws upon structural-functional analysis, methods of systematization and classification, and logical modeling. As a result, the selection of these three classes of information systems is substantiated; furthermore, a system of metrics comprising eight distinct groups has been developed, differentiated by project stage and linked to specific data sources (PLM, PPM, and ERP). An original decision-making algorithm is proposed which, in addition to standard economic efficiency metrics (NPV, IRR, PI, discounted payback period), incorporates the project's strategic significance particularly for projects executed under the State Defense Order aimed at critical import substitution or the creation of platform-based technological solutions. The algorithm incorporates multi-level filtering, a phased reduction of uncertainty through R&D activities, and feedback loops designed to facilitate project adjustments or termination. It is demonstrated that the integration of these systems can be achieved via a data bus utilizing the Russian-developed solution "Arenadata Harmony MDM". Finally, the limitations of the proposed toolkit are identified, specifically those related to the prerequisite of having fully operational PLM, PPM, and ERP systems in place, as well as the costs associated with the methodological and organizational support required for their integration.