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Unterstützung der Arbeitsprozesse von Menschen mit Behinderung durch digitale Hilfsmittel und technische Assistenzen
Toolbox Arbeitsgestaltung
Die sechs Themenfelder beinhalten beispielhafte Tools zur Umsetzung arbeitsgestalterischer Maßnahmen in Unternehmen der Gesundheitsbranche. In der Arbeitsgestaltung geht es um die Gestaltung der Arbeitsbedingungen von Arbeitspersonen
Herausforderungen und Potenziale des EU-Data-Acts für den Maschinen- und Anlagenbau
Vortrag zu den Studienergebnisse zur Studie „Herausforderungen und Potenziale des EU Data Acts für den Maschinen- und Anlagenbau“
[Poster] Forschungsprojekt LIMo Learning Journey. Individuell. Informell. Mobil.
LIMo schafft die Grundlagen für eine kontinuierliche Weiterbildung von
Beschäftigten. Über den Ausbau der Open-Source-Plattform ILIAS gestaltet LIMo das bedarfsgerechte, informelle und mobile Lernen. Die anschließende Erprobung im Feld sichert die Anwendbarkeit in der Praxis
Why Companies Fail With Objectives And Key Results
Objectives and Key Results (OKR) is an approach that focuses on the company's goals through trust-based agreements between leaders and employees. With the OKR framework in its original form, strategic business goals are aligned with the employees' active involvement, which promotes intrinsic motivation, transparency, commitment, and alignment. Inspired by the successes at Google and Intel and shaped by its use in the tech industry, the use of OKR increased across industries. Although companies within all sectors use the OKR framework, numerous implementation efforts fail. The challenges of practitioners are not fully addressed in the development of implementation concepts for OKR. One main reason is that these challenges are not taken into account in scientific publications. The paper aims to investigate to what extent existing OKR frameworks need to be adapted to provide companies with suiting implementation guidance. Firstly, OKR is placed in the context of academically widely discussed Performance Management Systems (PMS).
Secondly, criteria for successful PMS implementation are identified and used as a baseline for analyzing existing OKR implementation concepts. A systematic literature review shows the current state of research, identifying existing OKR implementation concepts from practice and theory. The OKR implementation concepts identified are systematically mapped to the series of identified criteria for PMS implementation. It is shown that the existing OKR frameworks do not address the described criteria necessary for a successful implementation of PMS, thus the adaptation of existing OKR implementation concepts is required
Using Data-Centric Platforms To Improve Demand Forecasting And Capacity Utilization For Less Digitized Multi-Site Quarrying Businesses
The quarrying industry, which largely consists of less digitized SMEs, is an integral part of the German economy. More than 95% of the primary raw materials produced are used by the domestic construction industry. Quarrying companies operate demand-oriented with short planning horizons at several locations simultaneously. Due to the low level of digitization and the reluctance to share data, untapped efficiency potential in data-based demand forecasting and capacity planning arises. The situation is aggravated by the fact that SMEs have a heterogeneous mobile machinery so as not to become dependent on individual suppliers, and that transport distances of over 50 kilometers are uneconomical due to high transport costs and low material values. Within the research project PROmining a data-centric platform which improves demand forecast accuracy and multi-site capacity utilization is developed. One of the core functionalities of this platform is an industry-specific demand forecasting model. Against this background, this paper presents a methodology for establishing this forecasting model. To this end, expected demands of secondary industry sectors will be analyzed to improve mid-term volume-forecasting accuracy for the local quarrying industry. The data-centric platform will connect demand forecasting data with relevant key performance indicators of multi-site asset utilization. Following this methodology, operational planning horizons can be extended while significantly improving overall production efficiency. Thus, quarrying businesses are enabled to respond to fluctuating demand volumes effectively and can increase their personnel and machine utilization across multiple quarry sites
Digitaler Schatten der Kundeninteraktionen produzierender Unternehmen
Ziel des Beitrags ist es, aufzuzeigen, wie produzierende Unternehmen entlang der Customer-Journey systematisch kundenbezogene Daten erheben können. Nach einer Einleitung zur Motivation der Themenstellung, einer Begriffserläuterung und einer Vorstellung des Studiendesigns wird ein Referenzprozessmodell der Kundeninteraktionen produzierender Unternehmen gestaltet, darauf aufbauend ein Datenmodell des digitalen Schattens der Kundeninteraktionen abgeleitet und zuletzt ein Vorgehensmodell zur Implementierung des digitalen Schattens der Kundeninteraktionen präsentiert
Work-Based Learning in the Mexican Automotive Sector
A stronger work orientation or even the integration of learning into activities will be one of the central basic requirements for the success of Industrie 4.0. Using the example of the project 'E-Mas – Exporting blended vocational education and training for industrial process design and optimization into the Mexican automotive sector', the paper discusses the development and implementation of a highly work oriented further education program. Together the partners Research Institute for Industrial Management (FIR) e. V. at RWTH Aachen University, MTM ASSOCIATION e. V. [MTMA], WBA Aachener Werkzeugbau-Akademie GmbH [WBA] in cooperation with the Mexican Instituto Tecnológico y de Estudios Superiores de Monterrey [ITESM] pursue the goal of designing and exporting innovative further education programs for skilled workers, developers, and operative management personnel of the Mexican automotive sector and especially German companies operating in Mexico
Predictive Maintenance – Instandhaltung zukunftsfähig machen
Whitepaper über Predictive Maintenance: Potenziale, Herausforderungen und Leitlinien bei Anwendung
Branchenindikator Instandhaltung / Maintenance Industry Report
Stets praxisnah ausgerichtet, hat die Fachgruppe Smart Maintenance am FIR zwei Formate etabliert: Gemeint sind der Branchenindikator Instandhaltung und der gleichnamige Arbeitskreis. Beide dienen als Grundlage für den Transfer aus der anwendungsnahen Forschung im Bereich Smart Maintenance, liefern Impulse für Industriepartner:innen und bieten den Raum für eine Diskussion unter Praktiker:innen.
Diese Formate dienen gleichzeitig als Ideen- und Austauschplattform.Always geared towards practical application, the Smart Maintenance specialist group at FIR has established two formats: the Maintenance Industry Report and the Maintenance Working Group. Both serve as a basis for the transfer of applied research in the field of smart maintenance, provide insights and impetus for industry partners, and offer a space for discussion among industry practitioners. These formats also serve as a platform for the exchange of ideas and experiences