Refine
Year of publication
Document Type
- Conference Proceeding (114) (remove)
Is part of the Bibliography
- no (114)
Keywords
- 02 (9)
- 03 (9)
- 04 (1)
- 5G (2)
- AI (2)
- APMS (1)
- APS (1)
- Advanced Planning System (1)
- Anlaufmanagement (1)
- Anomaly detection (1)
- Architektur <Informatik> (1)
- Artificial intelligence (1)
- Asset Management (1)
- Auction Mechanism (1)
- Auftragsabwicklung (1)
- Auto-ML (2)
- Automobilindustrie (1)
- Beschaffungsplanung (1)
- Best practices (1)
- Big Data (1)
- Blockchain (1)
- Business Analytics (1)
- Business Analytics Methods (1)
- Business Model (1)
- Business Related Services (1)
- Business analytics (1)
- Business reference model (1)
- Business-Analytics-Methoden (1)
- CMM (1)
- CO2 accounting (1)
- CPS (3)
- CPSL (1)
- Case study research (1)
- Change Management (1)
- Change Request (2)
- Circular economy (1)
- Circular ecosystems (1)
- Circular product management (1)
- Co-creation (1)
- Compliance (2)
- Condition Monitoring (1)
- Condition monitoring (1)
- Controlling (1)
- Conversational interfaces (1)
- Coordination Need (1)
- Cost Calculation (1)
- Customer Success Management (1)
- Customer success managementl (1)
- Cyber Security (2)
- Cyber-Security (1)
- DES (1)
- Data Quality (1)
- Data ecosystem (1)
- Data set (1)
- Data-based pricings (1)
- Data-driven services (1)
- Datenmigration (1)
- Decision Support System (1)
- Delphi study (1)
- Deviation identification strategies (1)
- Dienstleistung (1)
- Dienstleistungsentwicklung (1)
- Dienstleistungsmanagement (1)
- Digital Transformation (1)
- Digital product passport (1)
- Digital sovereignty (1)
- Digital technologies (2)
- Digital transformation (1)
- Digitaler Schatten (3)
- Digitalisation (1)
- Digitalisierung (1)
- Digitalization (3)
- Discrete Event Simulation (1)
- Distribution management (1)
- Do-it-together (1)
- EMISA (1)
- EPCIS (2)
- ERP (1)
- Echtzeit (1)
- Effizienzsteigerung (1)
- Energieeffizienz (1)
- Energieflexibilitäten (1)
- Energiemanagement (2)
- Energietechnik (1)
- Enterprise-Resource-Planning (1)
- Erfolg (1)
- Erfolgsfaktor (2)
- Evaluation (1)
- Event Data (1)
- Event-driven IT-Architecture (1)
- FlAixEnergy (1)
- Geschäftsmodell (1)
- Geschäftsmodelle (1)
- Heuristik (1)
- Hybrides Leistungsbündel (1)
- IH-Check (1)
- ILN (1)
- IPS-System (1)
- IS Landscape (1)
- IS-architectrue of manufacturing companies (1)
- IT OT Integration (1)
- IT complexity (2)
- IT landscape (2)
- IT organization (1)
- IT-Security (1)
- Incorrect Data (1)
- Industrial Production Companies (1)
- Industrie 4.0 (13)
- Industrie 5.0 (1)
- Industrie-4.0-Environments (1)
- Industrie-4.0-Maturity-Index (1)
- Industry 4.0 (2)
- Industry 5.0 (1)
- Information System Architecture (1)
- Information Systems Integration (1)
- Information modeling (1)
- Information systems (3)
- Information workflow (1)
- Informationslogistik (2)
- Informationsmanagement (1)
- Informationsqualität (1)
- Informationssicherheit (1)
- Informationstechnologie (1)
- Instandhaltung (4)
- Instandhaltungsassessment (1)
- Instandhaltungsmanagement (1)
- Instandhaltungsstrategie (1)
- Instandhaltungsstrategien (1)
- Instandhaltungstools (1)
- Insufficient Data (1)
- Intelligente Produkte (1)
- Intelligentes Stromnetz (1)
- Intelligentes Werkzeug-Maschine System (1)
- Internet of Production (4)
- Investment Scenarios (1)
- IoP (1)
- KMU (1)
- KPI (1)
- Kennzahlen (1)
- Komplexität (1)
- Konfiguration (1)
- Kosten (1)
- Kybernetik (3)
- Künstliche Intelligenz (2)
- Lastverteilung <Energietechnik> (1)
- Leistungsfähigkeit (1)
- Leistungssysteme (2)
- Literature Review (1)
- MES (1)
- Machine Learning (2)
- Maintenance (1)
- Maintenance Services (1)
- Management (1)
- Management-Cybernetics (1)
- Manufacturing (1)
- Manufacturing Companies (3)
- Manufacturing Execution System (1)
- Manufacturing companies (1)
- Manufacturing firms (1)
- Manufacturing-Execution (1)
- Maturity Index (2)
- Maturity Model, Maturity Index (1)
- Middleware+ (1)
- Modellierung (1)
- Modularization (1)
- Morphological framework (1)
- Morphology (1)
- MyCarEvent (1)
- Netzwerkmanagement (1)
- Outsourcing (1)
- PLM (1)
- PPC (2)
- PPS (3)
- Performance measurement system (1)
- Performance-Management (1)
- Platform (2)
- Pricing (1)
- ProSense (1)
- Product Service Systems (1)
- Product-Service Systems (1)
- Product-Service-Systems (1)
- Product-as-a-service business (1)
- Product-service system (1)
- Production Planning (1)
- Production Planning and Control (1)
- Production management (2)
- Production-Management (1)
- Production-Networks (1)
- Produkt-Service-System (1)
- Produktentwicklung (1)
- Produktionsmanagement (1)
- Produktionsnetzwerke (1)
- Produktionsplanung (5)
- Produktionsplanung und -steuerung (1)
- Produktionssteuerung (4)
- Produktivität (2)
- Produktkomplexität (1)
- Prognose (1)
- Prozessindustrie (1)
- Prozesskomplexität (1)
- Real-Time Data (1)
- Reference Model (1)
- Reference data model (1)
- Reference model (1)
- Regulation (2)
- Regulatory framework (1)
- Reifegrad (1)
- Reifegradmodell Instandhaltung (1)
- Remote-Service (1)
- Resources (1)
- Ressourcen (1)
- Revenue model (1)
- Risikomanagement (1)
- SCEM (1)
- SCOR (1)
- SGAM (1)
- SIM-ERP (1)
- SME (1)
- SMEs (2)
- SV7185 (1)
- SV7213 (1)
- SV7312 (1)
- SV7313 (1)
- SV7427 (1)
- Sales management (1)
- Sales organization (1)
- Self-managed (1)
- Sensorsystem (1)
- Service Engineering (1)
- Service Transformation (1)
- Service modules (1)
- Service-Dominant Logic (1)
- Servicemanagement (1)
- Servitization (1)
- SiZu (1)
- Simulation (4)
- Smart Machines (1)
- Smart Products (2)
- Smart product service system (1)
- Smart product service systems (1)
- Smartification (1)
- Solution Provider (1)
- Spieltheorie (1)
- Standardisierung (1)
- Structural Model (1)
- Störungsmanagement (2)
- Subscription (1)
- Subscription Business (2)
- Subscription Business Models (1)
- Subscription business (2)
- Subscription economy (1)
- Subskription (1)
- Supply Chain (1)
- Supply Chain Event Management (2)
- Supply Chain Management (2)
- Supply Chain Management User Diversity Gamer types Human Behavior Beer Game Serious Gaming (1)
- Supply chain event management (1)
- Supply-Chain-Data-Management (1)
- Supply-Chain-Management (3)
- System Dynamics Simulation Model (1)
- Task-oriented Reference Model (1)
- TechFit (1)
- Technologiemanagement (2)
- Tele-Service (1)
- Teleservice (1)
- Transformation (1)
- Typification (2)
- VSM (1)
- Value-based Pricing (1)
- Value-based pricing (1)
- Value-in-Use (1)
- Value-in-use (2)
- Virtual Collaboration, Organizations, and Networks, (1)
- Virtuelle Organisation (1)
- Werkzeugbau (1)
- Wertorientiertes Instandhaltungsmanagement (1)
- Windenergie (1)
- Zielsystem (1)
- Zuverlässigkeit (1)
- acquisition cycle (1)
- agile and learning companies (1)
- agile development (1)
- artificial intelligence (2)
- artificial intelligence lifecycle (1)
- asset management (1)
- behavioral management (1)
- blockchain (1)
- blockchain-based services (1)
- business transformation (1)
- capability maturity model (1)
- case study research (1)
- characteristic curves (1)
- classification (1)
- companies (1)
- complexity management (1)
- complexity theory (1)
- concurrent engineering (1)
- configuration (1)
- control (1)
- critical success factors (1)
- criticality analysis (1)
- customer (1)
- customer data (1)
- customer journey (1)
- customer productivity (1)
- customer suitability (1)
- cybernetics (2)
- data analytics (2)
- data mining (1)
- data value (1)
- data value assessment (1)
- data-driven services (1)
- decision-maker (1)
- demand response (1)
- design fields (1)
- development process (1)
- deviation management (1)
- digital products (1)
- digital services (1)
- digital shadow (5)
- digital technologies (1)
- digital transformation (2)
- digital twin (1)
- digitalization (1)
- dispatching rules (1)
- disruptions (1)
- dynamic systems (1)
- e.GO (1)
- eMobility (1)
- economic quantification (1)
- electric vehicle communication (1)
- energy management (3)
- energy management use cases (1)
- energy monitoring (1)
- energy-efficiency (1)
- engineering to order (1)
- enterprise resource planning system (1)
- enterprise social network (1)
- evaluation (1)
- everything-as-a-service (1)
- external factor (1)
- fix and intersection point of eMobility (1)
- food industry (1)
- framework (1)
- gap analysis (1)
- grid management (1)
- guidelines (1)
- human-technology-organisation concept (1)
- improvement program (1)
- incorrect data (1)
- industrial services (1)
- industrielle Dienstleistung (1)
- industrielle Dienstleistungen (1)
- information logistics (1)
- information logistics model (1)
- information sharing (1)
- information system (2)
- information system architecture (1)
- integrated solutions (1)
- intelligent support system (1)
- internet of production (1)
- job release (1)
- job shop (1)
- lean management for service industries (1)
- literature review (1)
- load management (2)
- logistics (1)
- logistics operation curves (1)
- machine learning (1)
- machinery and plant engineering (1)
- machinery and plant engineering industry (1)
- maintenance (1)
- maintenance management (1)
- management (1)
- manufacturing (1)
- manufacturing companies (3)
- manufacturing company (2)
- manufacturing industry (1)
- modularization (1)
- morphology (1)
- optimization (1)
- order management (1)
- organizational transformation (1)
- parameters (1)
- performance (1)
- performance management (1)
- portfolios (1)
- process industries (1)
- procurement (1)
- product development process (1)
- product returns (1)
- product service systems (1)
- production control (1)
- production networks (1)
- production planning (1)
- production planning and control (3)
- production systems (1)
- productivity (1)
- ramp-up (1)
- real-time architecture (1)
- real-time capability (1)
- real-time enterprise (1)
- reference model (1)
- reliability (1)
- remote work (1)
- resilience (1)
- resilience principles (1)
- rev (28)
- reverse logistics (1)
- reverse supply chain (1)
- reverse supply chain management (1)
- risk analysis system (1)
- risk management (1)
- scheduling (1)
- scheduling parameters (1)
- serious gaming (1)
- service (1)
- service based business model (1)
- service lifecycle management (1)
- service process (1)
- service production (2)
- service productivity (1)
- service range complexity (1)
- servitization (2)
- simulation (1)
- small and medium enterprises (1)
- smart grid architecture model (1)
- smart product service systems (1)
- smart product-service systems (1)
- smart products (2)
- smart services (1)
- smartification (1)
- social network (1)
- social software (1)
- socio-technical system (1)
- stress (1)
- structural equation modeling (1)
- subscription business (1)
- subscription business models (2)
- success factors (2)
- supply chain event management (1)
- supply chain planning (1)
- sustainability (1)
- system dynamics (3)
- task model (1)
- text data (1)
- text mining (1)
- use case modeling (1)
- value based maintenance (1)
- value-based pricing (1)
- variant-creating factors (1)
- working capital management (1)
- Änderungsmanagement (1)
Institute
Die Verschärfung des Wettbewerbsumfelds produzierender Unternehmen und die als Antwort hierauf in den Fokus rückenden agilen Methoden vergrößern die Bedeutung einer effizienten Handhabung von Änderungsprozessen. Am Beispiel des Maschinen- und Anlagenbauers Ortlinghaus zeigt der Beitrag, dass eine Kombination aus ungeeigneten Änderungsprozessen und mangelhaftem IT-Support in der Praxis oft die schnelle und gleichzeitig qualitätsgesicherte Durchführung von Änderungsprozessen verhindert. Der Zielkonflikt aus geringem Zeitbedarf und hoher Prozessqualität lässt sich durch Anpassungen in der IT-Unterstützung reduzieren. Hierdurch können Erfolgsfaktoren für ein effizientes Änderungsmanagement gehoben und die Problemfelder der Workflowunterstützung, Informationsverteilung und Datenhandhabung verbessert werden. Zentrales Hindernis zur Adressierung der Erfolgsfaktoren stellt die aktuell zur Abwicklung von Change Requests genutzte Arbeitsumgebung dar. Der Beitrag präsentiert hierfür als zentralen Lösungsansatz die Internet of Production Infrastruktur. Das Potenzial der Internet of Production Infrastruktur im Kontext des Änderungsmanagements wird anhand von drei Anwendungsbeispielen verdeutlicht. Abschließend wird der Migrationspfad für Unternehmen bei der Einführung eines effizienten Änderungsmanagements aufgezeigt.
In this paper, an approach towards energy management 4.0 will be presented. Energy management 4.0 is understood as an encompassing energy data based concept for manufacturing companies acting in an flexible energy grid of the future with the final goal of autonomous self-optimization Controlling, supervising and scheduling production and logistic steps based on a reliable communication infrastructure and real time data in accordance to achieve a maximum of profitability with regard to human factor is executed.
Guided by a four maturity levels of the "acatech Industrie 4.0 Maturity Index" developed by the German National Academy of Science and Engineering (acatech) different use cases are presented according to the steps of visibility, transparency, prognostic capacity and self-optimization. The basic idea of energy management 4.0 is described and an outlook of further steps that are needed to be evaluated for an implementation are presented.
Growing information systems (IS) often come along with growing IT complexity, because of emerging rag rug landscapes. This development causes rising IT costs and dependencies, which hinder the maintenance and expansion of the IS landscape. This article outlines the current research on published and presented methods to manage the rising IT complexity in a literature review. Because definitions of “IT complexity” vary a lot in literature, this paper also includes a definition of the term. In addition to that, it delivers a presentation of the used research methodology. Subsequently, it presents the findings in literature, highlights the research gap and – based on the literature analysis – presents, the steps that need to be taken. A discussion of the results and a summary complete the article.
Nowadays one of the most challenging tasks of producing companies is the growing complexity due to the globalization and digitalization. Especially in high wage countries, the ability to deliver fast and to a fixed date gets more and more important. To achieve this logistic target, it is necessary to optimize the Production Planning and Control (hereinafter PPC). This study investigates the effects of a change of the scheduling parameters on a target system. The focused research questions are: How can the effect of a scheduling parametersvariation on the target system of the PPC can be displayed efficiently? Is it possible to review the effect of the scheduling parameters-variation quantitatively and to derive action options?
The topics Internet of Things and Industry 4.0 increasingly lead to the fact that the customer is increasingly focused on manufacturing companies. He wants to know delivery date of the product, wants to make changes at short notice, get an individualized product and much more. Technologically, these requirements have already been met, but the structures within the company as well as the operational processes are not yet or only partially prepared to cope with the increasing complexity and dynamics of production. This leads to many deviations with which the production controller must deal, whether they are complex or trivial.
In order to counteract the increasing number and frequency of deviation situations which are currently encountered with complex manual interventions, it is necessary to systematically evaluate deviations and then to allocate them a dominant reaction strategy (manual, partially automated, automated) from which a suitable reaction measure can be derived. This relieves the production controller, since assistance systems partially eliminate deviations independently.
As a result, the production controller gets more time to deal with the cause of deviations so that a new occurrence of deviations can be avoided and the number of deviations can be reduced sustainably. The following paper provides a solution for the assessment of deviations. In addition, it includes differentiation logic to allocate one of the three different reaction strategies to the identified deviation.
Nowadays, providing purchasable goods is not enough for a company to survive on the global market. Because of competitive prices and a large range of products available, companies need to offer additional benefits to their customers in order to create a unique selling point. They add services to their product portfolio and offer clients the opportunity to acquire an additional service solution to go with it. The offered services need to fit to the customer's needs, resulting in a variety of available services, great complexity of the service range and decreasing transparency of the resource utilization. This paper addresses the problem by identifying variant-creating factors in product service systems, transferring them into an organizational framework and verifying their significance.
This paper contributes to an assessment framework for valuing data as an asset. Particularly industrial manufacturers developing and delivering Smart Product Service Systems (Smart PSS) are comprehensively depended on the business value derived by processing data. However, there is a lack in a framework for capturing and comparing the Smart PSS data value with the purpose of increasing the accountability of data initiatives. Therefore a qualitative data value assessment approach was developed and specified on Smart PSS, based on an industrial case study research. [https://link.springer.com/chapter/10.1007/978-3-030-57997-5_39]
Reliability-centered maintenance for production assets is a well-established concept for the most effective and efficient disposition of maintenance resources. Unfortunately, the approach takes a lot of effort and relies heavily on the knowledge of individuals. Reliability data in Computerized Maintenance Management System (CMMS) is scarce and almost never used well. An automated risk assessment system would have the potential to contribute to the dissemination and effective use of risk information and analysis. The individuality of production setting, however, prevents current systems from being practically relevant for most industries. The presented approach combines ontologies to store and link knowledge, an information logistics model displaying the various information streams, and the Internet of production to take the different user systems and infrastructure layers into account. The provided model of a reference digital shadow for risk information and a detailed information logistics model will help software companies to improve reliability software, standardize and enable assets owners to establish a customized digital shadow for their production networks. [https://link.springer.com/chapter/10.1007/978-3-030-57993-7_2]
In this paper, we firstly present a target system which is deduced to assess the economic profitability of reverse supply chains. Considering this, we analyse process reference models to define relevant components of an appropriate target system.
Subsequently, we define applicable business models which are the basis for the manufacturer to offer new services to its customers on the one hand and to manage a goal-oriented return, recovery and resell of used products and components on the other hand. This will be done based on the morphology methodology in order to understand the characteristics and attributes of reverse supply chains.
Today, manufacturing companies are facing the influences of a dynamic environment and the continuously increasing planning complexity. Using advanced data analytics methods, processes can be improved by analyzing historical data, detecting patterns and deriving measures to counteract the issues. The basis of such approaches builds a virtual representation of a product – called the digital twin or digital shadow.
Although, applied IT systems provide reliable feedback data of the processes on the shop-floor, they lack on a data structure which represents real-time data series of a product. This paper presents an approach for a data structure for the order processing which overcomes the described issue and provides a virtual representation of a product. Based on the data structure deviations between the production schedule and the real situation on the shop-floor can be identified in real time and measures to reschedule operations can be identified.
One of the major challenges facing today´s manufacturing industry is to differentiate from competition in a highly globalized world. As a consequence to the increasing competitive pressure, many companies transform their product centered business models towards service based business models to differentiate from competition. However, the transformation is often underestimated regarding its complexity and its management challenges to behavioral change.
As a consequence lots of transformation initiatives fail. Besides difficulties in structuring the magnitude of changes in processes and structures, many transformation managers do not perceive the risk of employee resistance against changes, which is one of the key factors causing the failure of transformation. The objective of this paper is to enhance the existing body of research on manufacturer´s organizational transformation towards Product-Service Systems. More detailed, the objective is to develop new knowledge to support the management during the decision-making process in the way how and by means of which instruments the change of behavior can be supported when transforming from a manufacturer to a solution.
We developed a reference framework which structures and defines the relevant dimensions of behavioral change. The identification and validation of the success factors build the second component of our research. We conducted an empirical investigation in the German manufacturing industry and got 79 data sets.
Structural equation modelling was applied for the analyses and the validation of the hypotheses. By this analysis we linked management practice with employee behavior and transformational success variables. On the basis of the gained insights decisions can be made concerning the successful transformation from manufacturer to a solution-oriented service provider.
Today, machine manufacturers generate a significant share of their revenues with the provision of services. At the same time, they are confronted with the challenge of adopting of Industrie 4.0.
One of the most important Industrie 4.0 concepts is the idea of the digital shadow, which contributes to the comprehensive structuring of different kinds of data from different data sources. It can be defined as the sufficiently precise, digital representation of reality in real-time.
Thus, it also functions as a database of the considered area of a company that can be used for numerous applications. It serves as a central platform for the aggregation and distribution of data. Thereby, it helps to open isolated data silos. A system architecture that enables extraction of data from various sources and the aggregation of that data is an important prerequisite for the digital shadow.
In addition, the merger of data from different sources requires a model of the part of the company to be mapped digitally. In this paper, we focus on maintenance, repair and overhaul (MRO) services of machine manufacturers. The scope comprises the whole order processing of a service including the utilized resources and the obtained results.
MRO services and their single elements are mapped and structured using a case study research in a first step. Those elements provide a basis for designing the digital shadow. A second contribution of this paper is a data model for the digital shadow of MRO services that entails a comprehensive representation of that department.
Due to the drastically increasing amount of data, decision making in companies heavily relies on having the right data available. Also because of an increasing complexity of structures and processes, quick and precise flows of information become more important.
This paper introduces a new approach for modelling information flows, creating a basis for an efficient information management. It can be used to structure the information requirements and identify gaps within the information processing.
To display its benefits, the proposed Information Logistics Notation (ILN) is applied to the information logistics of todays and future energy market and grid stability management, both processes of increasing complexity.
The manufacturing industry has to exploit trends like “Industrie 4.0” and digitization not only to design production more efficiently, but also to create and develop new and innovative business models. New business models ensure that even SMEs are able to open up new markets and canvass new customers. This means that in order to stay competitive, SMEs must transform their existing business models.
The creation of new business models require smart products. The required data base for new business models cannot be provided by SMEs alone, whereas smart products are able to provide a foundation, given the creation of smart data and smart services they enable. These services then expand functions and functionality of smart products and define new business models.
However, the development of smart products by small and medium-sized enterprises is still lined with obstacles. Regarding the product development process the inclusion of smart products means that new and SME-unknown domains diffuse during the process. Although there are many models regarding this process there appears to be a substantial lack of taking into account the competencies enabled by the implementation of digital technologies. Hence, several SME-supporting approaches fail to address the two major challenges these enterprises are faced with. This paper generally describes valid objectives containing relevant stakeholders and their allocation to the phases of the product life cycle.
Within each objective the potential benefit for customers and producers is analyzed. The model given in this paper helps SMEs in defining the initiation of a product development project more precisely and hence also eases project scoping and targeting for the smartification of an already existing product.
Nowadays, cyber physical systems support the improvement of efficiency in intralogistics by controlling and manipulating the production and logistic environment autonomously. Due to the complexity of the individual production processes, designing suitable cyber-physical systems based on their existing production environment is a challenge for companies.
This paper presents a new methodology on how to design cyber-physical systems conceptually to suit an individual production environment. Compared to existing design approaches, this methodology matches immediately the required functions to existing information and communication technology’s components insisting on the neutral assimilation of requirements.
Therefore, the requirement specification asks for needed functions in relating to offered functions of information and communication technology (ICT) components. The paper focusses the use case of implementing a cutting-edge mobile network technology into an existing tracking and tracing process.
Real-time data analytics methods are key elements to overcome the currently rigid planning and improve manufacturing processes by analysing historical data, detecting patterns and deriving measures to counteract the issues.
The key element to improve, assist and optimize the process flow builds a virtual representation of a product on the shop-floor - called the digital twin or digital shadow. Using the collected data requires a high data quality, therefore measures to verify the correctness of the data are needed. Based on the described issues the paper presents a real-time reference architecture for the order processing.
This reference architecture consists of different layers and integrates real-time data from different sources as well as measures to improve the data quality. Based on this reference architecture, deviations between plan data and feedback data can be measured in real-time and countermeasures to reschedule operations can be applied.
The design of data-driven industrial services in the context of industry 4.0 represents a major challenge for industrial service providers and manufacturing companies for investment goods. Data-driven services require technological and strategic components that most companies have not build up yet and that differ from current configurations. That is why many companies lack a systematic approach and implementation competence for the use of data in the context of industrial services and therefore face the challenge of not being able to expand their market position in an ever-growing competition for data.
The present paper addresses this research deficit with the aim of describing strategic features and characteristics of data-driven industrial services by identifying the related crucial features and characteristics through a morphological approach. This will enable industrial service providers to improve strategic and operative management decisions in order to define a specific strategy and to configure data-driven services.
The importance of social networks and, in particular, enterprise social networks in business contexts is increasing significantly. Regarding the prerequisites for a successful implementation of an enterprise social network, exclusively providing the technical infrastructure is insufficient. A holistic view that considers and integrates different perspectives is crucial for success. This includes technological, organisational and human aspects as equally important parts of the network. This paper identifies prerequisites for a successful launch of enterprise social networks and groups them along these three dimensions.
In order to introduce load management in the manufacturing industry, some obstacles need to be pointed out. This paper presents a feasible approach on how to implement load management measures in companies. To do so, load management and energy management are explained and distinguished in a first step. Subsequently, the implementation method is introduced. Therefore, by using this paper, companies will be enabled to use load management measure and reduce their energy costs significantly.
Industry 4.0 is driven by Cyber-Physical Systems and Smart Products. Smart Products provide a value to both its users and its manufacturers in terms of a closer connection to the customer and his data as well as the provided smart services. However, many companies, especially SMEs, struggle with the transformation of their existing product portfolio into smart products. In order to facilitate this process, this paper presents a set of smart product use-cases from a manufacturer’s perspective. These use-cases can guide the definition of a smart product and be used during its architecture development and realization. Initially the paper gives an introduction in the field of smart products. After that the research results, based on case-study research, are presented. This includes the methodological approach, the case-study data collection and analysis. Finally, a set of use-cases, their definitions and components are presented and highlighted from the perspective of a smart product manufacturer.