Refine
Year of publication
Document Type
- Article (1)
- Part of a Book (21)
- Conference Proceeding (38)
- Contribution to a Periodical (1)
- Lecture (1)
- Internet Paper (2)
- Working Paper (3)
Is part of the Bibliography
- no (67)
Keywords
- 02 (5)
- 03 (3)
- Ablauforganisation (1)
- Abrechnungsmodell (1)
- Asset Management (1)
- Auction Mechanism (1)
- Aufbauorganisation (1)
- Automobilindustrie (1)
- Beschwerdemanagement (1)
- Business Model (1)
- Business Related Services (1)
- Business-Community (2)
- CMM (1)
- CRM (1)
- CRM-Systeme (1)
- Case study research (1)
- Co-creation (1)
- Community (2)
- Condition Monitoring (1)
- Condition monitoring (1)
- Coordination Need (1)
- Cost Calculation (1)
- Cost-Center (1)
- Customer Success Management (1)
- Customer success managementl (1)
- Customer-Relationship-Management (1)
- Customer-Relationship-Management-Systeme (1)
- Data-based pricings (1)
- Data-driven services (1)
- Datenaustausch (1)
- Datensouveränität (1)
- Dienstleistung (3)
- Dienstleistungsangebot (2)
- Dienstleistungsbetrieb (1)
- Dienstleistungsbewusstsein (1)
- Dienstleistungscontrolling (1)
- Dienstleistungseinheit (1)
- Dienstleistungsentwicklung (4)
- Dienstleistungsforum (1)
- Dienstleistungskultur (1)
- Dienstleistungsmanagement (2)
- Dienstleistungsqualität (1)
- Dienstleistungsstrategie (1)
- Differenzierung (1)
- Differenzierungsfokus (1)
- Digitaler Schatten (1)
- Digitalisation (1)
- Digitalisierung (2)
- Distribution management (1)
- Do-it-together (1)
- Effizienzsteigerung (1)
- Einlinien-Organisation (1)
- Empowerment (1)
- Energietechnik (1)
- Erfolg (1)
- Erfolgsfaktor (1)
- Erfolgsfaktoren (1)
- Ergebnisperspektive (1)
- Fallstudien (1)
- Führung (1)
- Führungsverhalten (1)
- GAP-Modell (1)
- Geschäftsmodell (3)
- Geschäftsmodelle (2)
- Heterogenität (1)
- Heuristik (1)
- Human Factors (1)
- Hybrides Leistungsbündel (2)
- IH-Check (1)
- IPS (1)
- IPS-System (1)
- Immaterialität (1)
- Implementierungskonzept (1)
- Industrial Production Companies (1)
- Industrie 4.0 (4)
- Informationslogistik (1)
- Informationstechnologie (1)
- Instandhaltung (6)
- Instandhaltungsassessment (1)
- Instandhaltungsmanagement (2)
- Instandhaltungsplanung (1)
- Instandhaltungsstrategie (1)
- Instandhaltungsstrategien (1)
- Instandhaltungstools (1)
- Intelligentes Werkzeug-Maschine System (1)
- Investment Scenarios (1)
- IoP (1)
- KI (2)
- KMU (1)
- Kennzahl (1)
- Kennzahlen (1)
- Kennzahlensystem (1)
- Kennzahlensysteme (1)
- Klein- und Mittelbetrieb (1)
- Kompetenzentwicklung (1)
- Komplexität (1)
- Konfiguration (1)
- Konkurrenzanalyse (1)
- Koordination von Communities (1)
- Kosten (1)
- Kundenakquise (1)
- Kundenbindung (2)
- Kundengruppenmanagement (1)
- Kundenmanagement (2)
- Kundennutzenorientierung (1)
- Kundenorientierung (2)
- Künstliche Intelligenz (2)
- Leistungsangebot (1)
- Leistungssysteme (3)
- Lösungsanbieterstrategie (1)
- Maintenance (1)
- Maintenance Services (1)
- Manufacturing (1)
- Manufacturing Companies (1)
- Manufacturing firms (1)
- Markteinführung (1)
- Mittelstand (1)
- Modularization (1)
- Morphological framework (1)
- MyCarEvent (1)
- Nachhaltige Instandhaltung (1)
- Natural-Language-Processing (1)
- Netzwerkmanagement (1)
- Online-Community (1)
- Ordnungsrahmen (1)
- Personalwesen (1)
- Platform (1)
- Preisbildung (1)
- Preisstrategie (1)
- Pricing (1)
- Product Service Systems (1)
- Product-Service Systems (1)
- Product-as-a-service business (1)
- Product-service system (1)
- Produkt-Service-System (1)
- Produktivität (2)
- Prognose (1)
- Prozessindustrie (1)
- Reference Model (1)
- Reference data model (1)
- Reference model (1)
- Regulatory framework (1)
- Reifegradmodell Instandhaltung (1)
- Remote-Service (1)
- Resources (1)
- Ressourcen (1)
- Ressourcenmanagement (1)
- Revenue model (1)
- Risikomanagement (1)
- SCOR (1)
- SMS (1)
- SV7459 (1)
- Sales management (1)
- Sales organization (1)
- Service Engineering (1)
- Service Transformation (1)
- Service modules (1)
- Service-Dominant Logic (1)
- Service-Management-Systeme (1)
- Servicemanagement (3)
- Servitization (1)
- SiZu (1)
- Simulation (3)
- Smart Services (2)
- Smart product service system (1)
- Smart product service systems (1)
- Social Media (1)
- Solution Provider (1)
- Structural Model (1)
- Studie (1)
- Subscription (1)
- Subscription Business (1)
- Subscription business (2)
- Subscription economy (1)
- Subskription (1)
- Supply Chain (1)
- System Dynamics Simulation Model (1)
- Systemauswahl (1)
- TPM (1)
- Task-oriented Reference Model (1)
- Technologiemanagement (1)
- Tele-Service (1)
- Teleservice (1)
- TiCo (1)
- Transformation (1)
- Transformationslinie (1)
- Trends (1)
- Value-based Pricing (1)
- Value-based pricing (1)
- Value-in-Use (1)
- Value-in-use (2)
- Virtuelle Organisation (1)
- Werkzeugbau (1)
- Wertorientiertes Instandhaltungsmanagement (1)
- Wettbewerbsanalyse (1)
- Windenergie (1)
- Zuverlässigkeit (1)
- acquisition cycle (1)
- asset management (1)
- business model canvas (1)
- capability maturity model (1)
- case study research (1)
- characteristic curves (1)
- companies (1)
- complexity management (1)
- complexity theory (1)
- criticality analysis (1)
- customer (1)
- customer data (1)
- customer journey (1)
- customer productivity (1)
- customer relationship management (1)
- customer suitability (1)
- data analytics (1)
- data value (1)
- data value assessment (1)
- data-driven services (1)
- design fields (1)
- digital products (1)
- digital shadow (3)
- digitalization (1)
- e.GO (1)
- enterprise social network (1)
- evaluation (1)
- everything-as-a-service (1)
- external factor (1)
- framework (1)
- guidelines (1)
- human-technology-organisation concept (1)
- improvement program (1)
- industrial services (1)
- industrielle Dienstleistung (1)
- industrielle Dienstleistungen (3)
- information logistics model (1)
- intelligent support system (1)
- internet of production (1)
- key account management (1)
- lean management for service industries (1)
- machinery and plant engineering (1)
- maintenance (1)
- maintenance management (1)
- manufacturing companies (1)
- manufacturing industry (1)
- morphology (1)
- performance (1)
- performance management (1)
- portfolios (1)
- process industries (1)
- product service systems (1)
- production systems (1)
- productivity (1)
- reliability (1)
- rev (9)
- risk analysis system (1)
- risk management (1)
- service (1)
- service engineering (2)
- service process (1)
- service production (2)
- service productivity (1)
- service range complexity (1)
- simulation (1)
- smart product service systems (1)
- smart product-service systems (1)
- social network (1)
- social software (1)
- socio-technical system (1)
- stress (1)
- subscription business (1)
- subscription business models (2)
- system dynamics (1)
- task model (1)
- total productive management (1)
- value based maintenance (1)
- value based management (1)
- value proposition (1)
- value-based pricing (1)
- variant-creating factors (1)
Institute
- Dienstleistungsmanagement (67) (remove)
Assets of integrated production systems, especially in the heavy industry, are facing high requirements in terms of reliability and availability. In case of component breakdown, the operating firm is confronted with high costs due to downtime and loss of production. Modern maintenance concepts in combination with advanced technologies can help to improve the plant availability and reduce the downtime costs caused by unplanned breakdowns. Against this background, the research institutes FIR and IMR from RWTH Aachen University, Germany, are collaborating within the research project “SiZu”. This project deals with the integration of condition monitoring system and real time simulation to assess the condition of components and to support failure cause analysis.
Technologiebasierte Leistungssysteme versetzen den Werkzeugbau am Hochlohnstandort Deutschland in Zukunft in die Lage, nachhaltige Wettbewerbsvorteile zu generieren. Dazu ist es allerdings erforderlich, nicht nur die Technologiebasis in Form von Transponder- und Sensortechnik in das Werkzeug zu integrieren, vielmehr ist es nötig, entsprechende neue Geschäftsmodelle für diese Leistungssysteme zu entwickeln. Außerdem ist sicherzustellen, dass die Geschäftsmodelle auf operativer Ebene auch mit der Technologie harmonieren und die gewonnenen Daten entsprechend in die Auftragsabwicklungsprozesse integriert werden. Der vorliegende Beitrag stellt potenzielle neue Geschäftsmodelle für den Werkzeugbau vor und skizziert einen Ansatz zur operativen Integration der benötigten Informationen in die Geschäftsprozesse.
Der vorliegende Beitrag baut auf den Arbeiten eines Forschungsprojekts auf. Das Forschungsprojekt 'TecPro - Geschäftsmodelle für technologieunterstützte, produktionsnahe Dienstleistungen des Werkzeug- und Formenbaus' wird mit Mitteln des Bundesministeriums für Bildung und Forschung (BMBF) innerhalb des Rahmenkonzepts "Forschung für die Produktion von morgen" (Förderkennzeichen 02PG1095) gefördert und vom Projektträger Forschungszentrum Karlsruhe, Bereich Produktion und Fertigungstechnologien (PTKA-PFT), betreut.
In diesem Beitrag werden die aktuellen Aktivitäten im Forschungsprojekt „SiZu – Integration von Echtzeitsimulation und Zustandsüberwachung zur Bauteilprognose und Fehleranalyse für die Instandhaltung“ vorgestellt. Ziel des Projektes ist es, die bislang separat genutzten Funktionalitäten Condition-Monitoring und Echtzeitsimulationen in einem Analysewerkzeug (Condition- Analyser) für die Instandhaltung zusammenzuführen und damit Zustandsüberwachungssysteme um die Möglichkeit der Nutzung historischer Anlagendaten und Echtzeitsimulation zu erweitern. Neben der detaillierten Beschreibung der angestrebten Forschungsergebnisse und den daraus resultierenden Nutzungspotentialen für die Instandhaltung wird die zur Zielerreichung entwickelte Vorgehensweise vorgestellt und diskutiert.
In diesem Beitrag werden die Ergebnisse aus einer Studie in der Papierindustrie vorgestellt. Dabei zeigt sich eine deutliche Korrelation zwischen guten Ergebnissen in der Effektivität und Effizienz des Zuverlässigkeitsmanagements und dem Unternehmenserfolg. Der Unternehmenserfolg – im Sinne einer hohen Umsatzrendite – kann zwar nicht allein auf einen entscheidenden Einflussfaktor zurückgeführt werden, da der Umsatz durch eine Vielzahl von Faktoren bestimmt wird. Die durchgeführten Analysen und Interviews innerhalb der Studie deuten allerdings darauf hin, dass in der Tat das operative Anlagenmanagement einen maßgeblichen Erfolgsfaktor darstellt, sich „Reliability“ in der Prozessindustrie folglich auszahlt. Überdies konnte gezeigt werden, wie sich Methoden und Verhaltensweisen von Instandhaltung und Produktion auf die Zuverlässigkeit von Anlagen und die Effizienz deren Bewirtschaftung auswirken.
One of the major tasks of operations managers is to boost uptime while simultaneously keeping budget. To meet this challenge they discover reliability-based management as strategic factor to improve performance. But which parameters are the key to “reliability excellence” and drive a company’s performance? What are the relevant levers to pull in reliability-based management?
To answer these questions McKinsey & Company partnered with Aachen University to launch a global reliability survey in process industries. Objective of the initiative is to provide a statistically proven picture of key factors that drive maintenance and reliability excellence. Furthermore benchmarks and best practices concerning overall operational performance will be identified. The study is based on a questionnaire-based approach which addresses all relevant departments within a company, complemented by best practice analyses.
This paper provides results of the survey. The results demonstrate that reliability pays off. Some unproven beliefs have been confirmed (e.g. a good reliability performance results in a low spare part inventory) but also surprises like a correlation between safety and performance were identified. The analysis also shows that structural differences like company size or geography do not influence reliability performance.
Industrial companies face tremendous challenges to plan the resources needed to meet future market demands when implementing a PSS based solution portfolio. This paper deals with enhancing the PSS research landscape by presenting an approach to enable better resource-planning in PSS based businesses. In particular, a model is proposed which links resource structures with customer offerings. Linkages are implemented, which connect resources and their use in processes. The model contributes to better understand the complexity in resource structures and elements in the PSS and helps to better understand and describe the structural integration of resources in PSS. This is an important prerequisite for the planning of PSS and allows a qualitative and quantitative description of the service resources allocation enabling companies to build the competence needed to meet customer requirements. A case study based approach was applied for model development.
Industrial Service Providers (ISP) are exposed to constantly raising competitive pressures regarding both cost and performance aspects. The massive challenges caused by the current worldwide financial and economic crisis even intensified the need for process optimizations aimed at increasing the productivity of service production. To reach this goal the evaluation and elimination of waste in their production processes becomes a crucial ability for ISPs. This paper proposes a new approach for increasing productivity in service production processes using a generic measurement model for the detection and evaluation of waste. The model is based on established lean management principles, but tailored to the specifics of ISPs by adopting a customers’ perspective to track down and eliminate waste. The evaluation builds on an in-depth-analysis of particular types of waste in the industrial service production processes. Viewed from the customers’ perspective and taking into account the specific characteristics of services (e.g. intangibility, heterogeneity, inseparability, and perishability) and service production (e.g. volatile demand, a tendency to over-capacity, and limits to planning) the approach employs a service blueprint reference model to then determine the different types of waste in the various parts of the service production process.
In the near future, tooling companies will offer their customers not just maintenance services, but complex remote service packages for their engineering asset management, which is the total management of physical – not financial – assets. The overall goal is to enhance the efficiency of the engineering asset, e.g. to reduce TCO, on the customers´ site by means of value creating partnerships. These partnerships may be, e.g. the classical output or reliability partnership, but also process optimizing partnerships or lifecycle partnerships. The process optimizing partnership offers, e.g. the optimization of the system’s performance or the output quality, an optimized ramp-up and restart procedure or optimization of the production process parameters. The lifecycle partnership, on the other hand, accompanies the intelligent tool-machine-system throughout the whole lifecycle, which includes, e.g. provision of spare parts during the entire usage phase, storing, refurbishment, recycling and even the support of relocation of production facilities. Intelligent remote services have great potential for realizing all these partnerships.
To realize such engineering asset-related partnerships, two major tasks have to be done. First, there has to be the intelligent tool-machine system, which delivers the information that is required for these services. And furthermore, this information has to be integrated into the maintenance processes, so that it is delivered at the right place and time and in the required form. Second, the activities and processes that are combined to the engineering asset-related partnerships have to be configured out of standardized service and process modules. Therefore configuration logic is essential.
The House of Maintenance
(2009)
In order to guarantee an efficient and effective employment of production equipment, it is essential to identify any possible potential for improving performance, not only in the production process, but also in supporting areas such as maintenance. One of the major tasks in increasing maintenance performance consists of systematically identifying the company’s most significant weaknesses in maintenance organisation and thus being able to implement improvements there where they are most needed.
But how is a company to tackle this important task? To answer this question, this paper describes an assessment and improvement approach, based on a capability maturity model (CMM). By means of this approach, the status-quo of a maintenance organisation can be analysed and its individual improvement opportunities identified.
TPM hat sich – im Verständnis von Total Productive Management – vom rein auf die Instandhaltung bezogenen Konzept mittlerweile zu einem umfassenden Managementkonzept für das betriebliche Instandhaltungsmanagement weiterentwickelt. Nicht allein nur die Instandhaltungsbereiche sondern alle angrenzenden Organisations- und Unterstützungsbereiche werden in die Betrachtung von TPM integriert. Neben der Ganzheitlichkeit des Konzeptes adressieren die einzelnen TPM-Säulen überdies in einem hohen Maß die gleichen Ziele, die auch in existierenden Ansätzen zur wertorientierten Instandhaltung bzw. wertorientierten Unternehmensführung beschrieben sind. Der Beitrag befasst sich daher zunächst mit der Entwicklung der Wertorientierung in der Instandhaltung und zeigt damit den werterhaltenden und wertsteigernden Beitrag dieses Unterstützungsbereichs auf. Hieran anknüpfend gibt der Beitrag einen Überblick relevanter TPM-Konzepte und Begrifflichkeiten, um letztendlich die erfolgreiche Umsetzung der Wertorientierung in der Instandhaltung durch TPM zu belegen und aufzuzeigen, wie mit TPM die betriebliche Instandhaltung wertorientiert gestaltet werden kann.