Projektbeschreibung
Angleichung von Regeln für Geschäftsprozesse
Moderne Unternehmen können über betriebliche Prozesse ihre Produktivität steigern. Neue Strategien basieren allerdings normalerweise auf der begrenzten menschlichen Erfahrung. Das EU-finanzierte Projekt PIX will das von Grund auf neu denken und eine neue Generation von Methoden zur Prozessverbesserung einführen. Statt den Mechanismus einer bestimmten Lösung/Aktivität zu verbessern, wird eine automatisierte mehrdimensionale systematische Analyse aller potenziell veränderbaren Herangehensweisen an ein Problem vorgeschlagen. Dabei wird eine umfassende Liste mit Lösungen erstellt, um anhand von Prozessausführungsdaten die optimale Option zu ermitteln. Hierfür entwickelt PIX konzeptionelle Frameworks und Algorithmen zur gründlichen Analyse von Datenausführungsprozessen.
Ziel
Business processes are the operational backbone of modern organizations. Their continuous improvement is key to the achievement of business objectives, be it with respect to efficiency, quality, compliance, or agility. Accordingly, a common task for process analysts is to discover and assess process improvement opportunities, i.e. changes to one or more processes, which are likely to improve them with respect to one or more performance measures. Current approaches to discover process improvement opportunities are expert-driven. In these approaches, data are used to assess opportunities derived from experience and intuition rather than to discover them in the first place. Moreover, as the assessment of opportunities is manual, analysts can only explore a fraction thereof.
PIX will build the foundations of a new generation of process improvement methods that do not exclusively rely on guidelines and heuristics, but rather on a systematic exploration of a space of possible changes derived from process execution data. Specifically, PIX will develop conceptual frameworks and algorithms to analyze process execution data in order to discover process changes corresponding to possible improvement opportunities, including changes in the control-flow dependencies between activities, partial automation of activities, changes in resource allocation rules, or changes in decision rules that may reduce wastes or negative outcomes. Each change will be associated with a multi-dimensional utility, thus allowing us to map a process improvement problem to an optimization problem over a multidimensional space. Given this mapping, PIX will develop efficient and incremental methods to search through said spaces in order to find Pareto-optimal groups of changes. The outputs will be embodied in a first-of-its-kind tool for automated process improvement discovery, which will lift the focus in the field of process mining from analyzing as-is processes to designing to-be processes.
Wissenschaftliches Gebiet
Programm/Programme
Thema/Themen
Finanzierungsplan
ERC-ADG - Advanced GrantGastgebende Einrichtung
51005 Tartu
Estland
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).