Refine
Year of publication
Document Type
- Article (10)
- Book (3)
- Part of a Book (32)
- Conference Proceeding (41)
- Contribution to a Periodical (18)
- Lecture (5)
- Internet Paper (1)
- Report (2)
- Working Paper (3)
Is part of the Bibliography
- no (115)
Keywords
- 02 (4)
- 03 (3)
- 7. EU-Forschungsrahmenprogramm (1)
- APMS (1)
- APS (1)
- Aachener PPS-Modell (1)
- Adaptability (1)
- Additive Fertigung (1)
- Advanced Planning System (1)
- Anlagenbau (1)
- Anlaufmanagement (1)
- Anomaly detection (1)
- Auftragsabwicklung (6)
- Automobilindustrie (2)
- Beratung (1)
- Beschaffungsplanung (1)
- Best practices (1)
- Bestandsmanagement (1)
- Bewertung (2)
- Big Data (3)
- Blockchain (4)
- Business reference model (1)
- CKD (1)
- CKD-Baugruppe (1)
- CKD-Supply Chains (1)
- CKD-Wirkungsmodell (1)
- CO2 accounting (1)
- CPSL (1)
- Change Management (1)
- Change Request (2)
- Club of Logistics (1)
- Collaborative Planning (1)
- Controlling (1)
- Cost Benefit Sharing (1)
- Cyber Security (1)
- Cyber physical production control (1)
- DES (1)
- Data Quality (1)
- Data analytics (1)
- Data set (1)
- Data-driven decision (1)
- Datenanalyse (1)
- Datenaustausch (2)
- Datenauswertung (1)
- Datenmanagement (1)
- Datenmigration (1)
- Datensouveränität (1)
- Datenstandardisierung (1)
- Decision Support System (1)
- Decision support (1)
- Deviation detection (1)
- Deviation identification strategies (1)
- Dezentralisation (1)
- Dezentralität (2)
- Digitaler Schatten (5)
- Digitalization (1)
- Discrete Event Simulation (1)
- Disruptive Geschäftsmodelle (1)
- Distribution (1)
- Distributionsplanung (1)
- EPCIS (2)
- ERP (4)
- ERP-System (1)
- ERP/PPS-Software (1)
- Echtzeit (3)
- Echtzeitfähige Systeme (1)
- Echtzeitfähigkeit (5)
- Energieeffizienz (2)
- Enterprise Resource Planning (ERP) (1)
- Enterprise-Resource-Planning (3)
- Entscheidungsunterstützung (1)
- Ersatzteillogistik (3)
- Evaluation (1)
- Event Data (1)
- Exzellenzcluster (1)
- Fallstudien (1)
- Fertigungsprogrammplanung (1)
- Finanzkrise (1)
- Footprint design (1)
- Forschungsbedarf (1)
- Geschäftsmodelle (1)
- Global production (1)
- Globalisierung (1)
- HRSCM (1)
- High Resolution (1)
- IT (1)
- IT landscape (2)
- IT-Security (1)
- IT-Unterstützung (1)
- Incorrect Data (1)
- Industrie 4.0 (6)
- Industrie-4.0-Maturity-Index (3)
- Information workflow (1)
- Informationsmanagement (1)
- Informationssicherheit (1)
- Informationssysteme (1)
- Insufficient Data (1)
- Integrativ (1)
- Integrative Production Technology for High-Wage Countries (2)
- Internet of Production (4)
- Investitionsplanung (1)
- KI (2)
- KMU (1)
- KPI (2)
- Kennzahlen (1)
- Key-Performance-Indicator (1)
- Klimapolitik (1)
- Konfiguration (2)
- Konzepte (1)
- Kosteneffizienz (1)
- Kostenrechnung (2)
- Krise (1)
- Kybernetik (6)
- Künstliche Intelligenz (2)
- Lastverteilung <Energietechnik> (1)
- Learning-based scheduling (1)
- Leistungsfähigkeit (2)
- Lieferketten (1)
- Lieferservice (1)
- Liefertreue (1)
- Logistik (5)
- Logistiknetzwerk (1)
- MES (1)
- Management-Cybernetics (1)
- Manufacturing Execution System (1)
- Manufacturing-Execution (1)
- Markteinführung (1)
- Maschinenbau (2)
- Maturity Model, Maturity Index (1)
- Middleware+ (1)
- Nachhaltigkeit (1)
- Natural-Language-Processing (1)
- Network configuration (1)
- Outsourcing (1)
- PAS 1074 (1)
- PPC (2)
- PPS (19)
- PPS-Buch (3)
- Parameter prediction (1)
- Performance measurement system (1)
- Performance-Management (1)
- Pionierprodukt (1)
- Predictive quality (1)
- Process analysis (1)
- Product-Lifecycle-Management (1)
- Production Planning (1)
- Production Planning and Control (1)
- Production management (3)
- Production networks (1)
- Production-Management (1)
- Production-Networks (1)
- Produktdatenmanagement (1)
- Produktentwicklung (2)
- Produktion (2)
- Produktionsbedarfsplanung (2)
- Produktionsmanagement (10)
- Produktionsmanagementsystem (3)
- Produktionsnetzwerke (1)
- Produktionsplanung (23)
- Produktionsplanung und -steuerung (4)
- Produktionsregelung (1)
- Produktionssteuerung (20)
- Produktionssystem (5)
- Produktionstheorie (1)
- Produktkomplexität (1)
- Produktlebenszyklus (1)
- Projektentwicklung (1)
- Prozesskomplexität (1)
- Prozessmodell (1)
- Prozessstandardisierung (1)
- RFID (1)
- Real-Time Data (1)
- Realoptionenansatz (1)
- Regelkreis (1)
- Reifegradmodell (1)
- Rezepte (1)
- SCEM (1)
- SCM (2)
- SIM-ERP (1)
- SMEs (1)
- SV7113 (1)
- SV7114 (1)
- SV7213 (1)
- SV7228 (1)
- SV7248 (1)
- SV7312 (1)
- SV7313 (1)
- SV7459 (1)
- SaaS (1)
- Scale-Scope-Dilemma (1)
- Selbstoptimierung (4)
- Simulation (4)
- Smart Data (1)
- Software (1)
- Spare Parts Logistics (1)
- Spieltheorie (1)
- Standardisierung (2)
- Studie (3)
- Störungsmanagement (2)
- Suchmaschine (1)
- Supply Chain Design (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 (9)
- Supply-Chain-Planning (2)
- Termintreue (1)
- Theorie der Wertschöpfung (1)
- Trends (1)
- Typification (1)
- Umwelt- und Klimapolitik (1)
- Umweltpolitik (1)
- Unternehmensberatung (1)
- VSM (1)
- Variantenfließfertigung (1)
- Wandlungsfähigkeit (2)
- Whitepaper (1)
- Windenergie (1)
- Wirtschaftskrise (1)
- Zugangsberechtigung (1)
- artificial intelligence (1)
- behavioral management (1)
- blockchain (1)
- blockchain-based services (1)
- bullwhip effect (1)
- cognitive automation (1)
- cognitive control unit (CCU) (1)
- concurrent engineering (1)
- configuration (2)
- control (1)
- control theory (1)
- cyber-physische Systeme (1)
- cybernetics (4)
- data analytics (1)
- demand response (1)
- deviation management (1)
- digital services (1)
- digital shadow (2)
- digital transformation (1)
- digital twin (1)
- dispatching rules (1)
- disruptions (1)
- dynamic systems (1)
- economic quantification (1)
- economies of sale (1)
- economies of scope (1)
- energy-efficiency (1)
- engineering to order (1)
- enterprise resource planning system (2)
- gap analysis (1)
- gemeinsame Schnittstelle (1)
- grasp point (1)
- human-robot collaboration (1)
- incorrect data (1)
- information sharing (1)
- information system (2)
- integrated solutions (1)
- job release (1)
- job shop (1)
- literature review (1)
- logistics (2)
- logistics operation curves (1)
- machinery and plant engineering industry (1)
- management (1)
- manufacturing (1)
- manufacturing companies (1)
- modularization (1)
- myOpenFactory (2)
- optimization (1)
- order management (1)
- organizational transformation (1)
- peerrev (1)
- process coordination centres (1)
- procurement (1)
- product returns (1)
- production control (1)
- production management (1)
- production network (1)
- production networks (1)
- production planning (1)
- production planning and control (4)
- production system (2)
- ramp-up (1)
- real-time architecture (1)
- real-time capability (1)
- real-time enterprise (1)
- realtime capability (1)
- recursion level (1)
- reference model (1)
- resilience (1)
- resilience principles (1)
- rev (9)
- reverse logistics (1)
- reverse supply chain (1)
- reverse supply chain management (1)
- scheduling (1)
- scheduling parameters (1)
- self-optimizing production systems (1)
- self-optimizing systems (1)
- serious gaming (1)
- service based business model (1)
- servitization (1)
- success factors (1)
- supply chain (1)
- supply chain design (2)
- supply chain event management (1)
- supply chain management (2)
- supply chain planning (1)
- sustainability (1)
- system dynamics (3)
- viable system model (3)
- working capital management (1)
- Änderungsmanagement (2)
Institute
- Produktionsmanagement (115) (remove)
In short-term production management of the Internet of Production (IoP) the vision of a Production Control Center is pursued, in which interlinked decision-support applications contribute to increasing decision-making quality and speed. The applications developed focus in particular on use cases near the shop floor with an emphasis on the key topics of production planning and control, production system configuration, and quality control loops.
Within the Predictive Quality application, predictive models are used to derive insights from production data and subsequently improve the process- and product-related quality as well as enable automated Root Cause Analysis. The Parameter Prediction application uses invertible neural networks to predict process parameters that can be used to produce components with desired quality properties. The application Production Scheduling investigates the feasibility of applying reinforcement learning to common scheduling tasks in production and compares the performance of trained reinforcement learning agents to traditional methods. In the two applications Deviation Detection and Process Analyzer, the potentials of process mining in the context of production management are investigated. While the Deviation Detection application is designed to identify and mitigate performance and compliance deviations in production systems, the Process Analyzer concept enables the semi-automated detection of weaknesses in business and production processes utilizing event logs.
With regard to the overall vision of the IoP, the developed applications contribute significantly to the intended interdisciplinary of production and information technology. For example, application-specific digital shadows are drafted based on the ongoing research work, and the applications are prototypically embedded in the IoP.
Companies in the manufacturing sector are confronted with an increasingly dynamic environment. Thus, corporate processes and, consequently, the supporting IT landscape must change. This need is not yet fully met in the development of information systems. While best-of-breed approaches are available, monolithic systems that no longer meet the manufacturing industry's requirements are still prevalent in practical use. A modular structure of IT landscapes could combine the advantages of individual and standard information systems and meet the need for adaptability. At present, however, there is no established standard for the modular design of IT landscapes in the field of manufacturing companies' information systems. This paper presents different ways of the modular design of IT landscapes and information systems and analyzes their objects of modularization. For this purpose, a systematic literature research is carried out in the subject area of software and modularization. Starting from the V-model as a reference model, a framework for different levels of modularization was developed by identifying that most scientific approaches carry out modularization at the data structure-based and source code-based levels. Only a few sources address the consideration of modularization at the level of the software environment-based and software function-based level. In particular, no domain-specific application of these levels of modularization, e.g., for manufacturing, was identified. (Literature base: https://epub.fir.de/frontdoor/index/index/docId/2704)
Gap Analysis for CO2 Accounting Tool by Integrating Enterprise Resource Planning System Information
(2023)
Detailed carbon accounting is the foundation for reducing CO2 emissions in manufacturing companies. However, existing accounting approaches are primarily based on manual data preparation, although manufacturing companies already have a variety of IT systems and resulting data available. The gap analysis carried out based on the GHG Protocol and an reference ERP system shows how much of the required information for CO2 accounting can be integrated from an ERP system. The ERP system can cover 20 % of the required information. The information availability can be increased to 49 % through additionally identified modifications of the ERP system. Integrating the CO2 accounting tool with other systems of the IT landscape, e. g. Energy Information System, enables an additional increase.
Based on the increasingly complex value creation networks, more and more event-based systems are being used for decision support. One example of a category of event-based systems is supply chain event management. The aim is to enable the best possible reaction to critical exceptional events based on event data. The central element is the event, which represents the information basis for mapping and matching the process flows in the event-based systems. However, since the data quality is insufficient in numerous application cases and the identification of incorrect data in supply chain event management is considered in the literature, this paper deals with the theoretical derivation of the necessary data attributes for the identification of incorrect event data. In particular, the types of errors that require complex identification strategies are considered. Accordingly, the relevant existing error types of event data are specified in subtypes in this paper. Subsequently, the necessary information requirements and information available regarding identification are considered using a GAP analysis. Based on this gap, the necessary data attributes can then be derived. Finally, an approach is presented that enables the generation of the complete data set. This serves as a basis for the recognition and filtering out of erroneous events in contrast to standard and exception events.
The complexity and volatility of companies’ environment increase the relevance of disruption preparation. Resilience enables companies to deal with disruptions, reduce their impact and ensure competitiveness. Especially in the context of procurement, disruptions can cause major challenges while resilience contributes to ensuring material availability. Even though past disruptions have posed various challenges and companies have recognized the need to increase resilience, resilience is often not designed systematically. One major challenge is the number of potential measures to increase resilience. The systematic design of resilience thus requires a detailed understanding of domain-specific measures. This also includes an understanding of the contribution of these measures to different resilience components and their interdependencies. This paper proposes a systematic approach for configuring resilience in procurement which enables the evaluation and selection of resilience measures. Based on a resilience framework, a resilience configurator is developed. The basis of the configurator are resilience potentials that have been characterized and clustered. Overarching approaches to design resilience and indicators to evaluate resilience are presented. Moreover, a procedure is proposed to ensure practical applicability. To evaluate the results two case studies are conducted. The results enable companies to systematically design their resilience in procurement.