Refine
Year of publication
Document Type
- Conference Proceeding (41)
- Part of a Book (36)
- Contribution to a Periodical (19)
- Article (10)
- Lecture (5)
- Book (3)
- Working Paper (3)
- Report (2)
- Internet Paper (1)
Is part of the Bibliography
- no (120)
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)
- Flexibilität (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)
- Liefertermintreue (1)
- Liefertreue (1)
- Logistik (5)
- Logistiknetzwerk (1)
- MES (1)
- Management-Cybernetics (1)
- Manufacturing Execution System (1)
- Manufacturing-Execution (1)
- Markteinführung (1)
- Maschinenbau (2)
- Materialwirtschaft (1)
- Maturity Model, Maturity Index (1)
- Middleware+ (1)
- Nachhaltigkeit (1)
- Natural-Language-Processing (1)
- Network configuration (1)
- Outsourcing (1)
- PAS 1074 (1)
- PPC (2)
- PPS (20)
- 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 (26)
- Produktionsplanung und -steuerung (4)
- Produktionsregelung (1)
- Produktionssteuerung (23)
- Produktionssystem (5)
- Produktionstheorie (1)
- Produktkomplexität (1)
- Produktlebenszyklus (1)
- Projektentwicklung (1)
- Prozesskomplexität (1)
- Prozessmanagement (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 (5)
- Simulation (4)
- Smart Data (1)
- Software (1)
- Softwarearchitektur (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 (3)
- 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)
- delivery reliability (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 equipment industry (1)
- machinery and plant engineering industry (1)
- management (1)
- manufacturing (1)
- manufacturing companies (1)
- modularization (1)
- myOpenFactory (2)
- non-hierarchical production networks (1)
- 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)
- production theory (1)
- 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 (3)
- supply chain planning (1)
- sustainability (1)
- system dynamics (3)
- viable system model (3)
- working capital management (1)
- Änderungsmanagement (2)
Institute
- Produktionsmanagement (120) (remove)
Die Hauptherausforderung bei der Entwicklung einer produktionstechnisch geprägten Produktionstheorie darin, eine Verbindung der (produktions-)technischen Teildisziplinen zu einem theoretischen Beschreibungsmodell zu erreichen. Dieses gilt es unter Berücksichtigung der bestehenden Produktionstheorien um eine ökonomische Input-Output-Betrachtung zu erweitern.
Dieser bedarf einer theoretischen Betrachtung des Einflusses von Stellgrößen in verschiedenen Bewertungsdimensionen auf die Wirtschaftlichkeit eines Produktionssystems. Hierzu gilt es die relevanten Einflussgrößen und deren wechselseitigen Abhängigkeiten in einem Modell zu verknüpfen, welches die Grundlage zur Bestimmung des optimalen Betriebspunktes des Produktionssystems darstellt. In diesem Modell sollen formale Submodelle aus unterschiedlichen Fachdisziplinen analysiert und integriert werden, wodurch sichergestellt wird, dass der Stand der Forschung aus den produktionstechnischen Fachbereichen, wie der Fertigungstechnik, Werkzeugmaschinen, Logistik und Produktionsplanung und -steuerung (PPS), genutzt wird, um den ökonomischen Einfluss der Einflussgrößen zu quantifizieren.
Aktuell ist noch nicht geklärt, wie sich das Zusammenwirken von Menschen und betrieblichen Anwendungssystemen bei der Bearbeitung der Aufgaben der PPS nach der Umsetzung von Industrie 4.0 entwickelt. Zur Systematisierung der Auswirkungen von Industrie 4.0 auf die PPS werden in diesem Beitrag die sechs Reifegradstufen des acatech Industrie-4.0-Maturity-Index mit der Aufgabensicht des Aachener PPS-Modells kombiniert und die Reifegradstufen für ausgewählte Unteraufgaben der PPS spezifiziert.
Industrie 4.0 bringt enorme Veränderungen und bietet große Verbesserungspotenziale für die Produktionsplanung und -steuerung. Aufbauend auf dem Aachener PPS-Modell wird in diesem Beitrag in Anlehnung an den Industrie-4.0-Maturity-Index der acatech eine reifegradbasierte Untersuchung der Entwicklung der Produktionsplanung und -steuerung im Kontext von Industrie 4.0 präsentiert.
Generation of a Data Model For Quotation Costing Of Make To Order Manufacturers From Case Studies
(2022)
For contract or make to order manufacturers, quotation costing is a complex process that is mainly performed based on experience. Due to the high diversity of the product range of these mostly small or medium-sized companies (SMEs) and the poor data situation at the time of quotation preparation, the quality of the calculation is subject to strong variations and uncertainties. The gap between the initial quotation costing and the actual costs to be spent (pre- and post-calculation) is crucial to the existence of SMEs. Digitalization in general can help companies to get a better understanding of processes and to generate data. For improving these processes, an understanding of the important data for that specific process is crucial. Accurate quotation costing for customized products is time-consuming and resource-intensive, as there is a lack of an overview of data to be used within the process. This paper therefore derives a data model for supporting quotation costing in the company, based on literature-based costing procedures and recorded case studies for quotation and calculation. Based on the results, SMEs will have a first overview of the needed data for quotation costing to optimize their calculation process.
Human behavior in supply chains is insufficiently explored. Wrong decisions by decision makers leads to insufficient behavior and lower performance not only for the decision maker, but also for other stakeholders along the supply chain. In order to study the complex decision situation, we developed a supply chain game in which we studied experimentally the decisions of different stakeholder within the chain. 121 participants took part in a web-based supply chain game. We investigated the effects of gender, personality and technical competency on the performance within the supply chain. Also, learnability and the effect of presence of point-of-sale data are investigated. Performance depended on the position within the chain and fluctuating stock levels were observed in form of the bullwhip effect. Furthermore, we found that risk taking had an impact on the performance and that the performance improved after the first round of the game. [https://link.springer.com/chapter/10.1007/978-3-642-39226-9_46]
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.
The Impact Of Manufacturing Execution Systems On The Digital Transformation Of Production Systems
(2021)
With the focus of manufacturing companies on the digital transformation, Manufacturing Execution Systems are market-ready, modular software solutions for manufacturing companies to integrate the value-adding and supporting processes horizontal and vertical in the company. Companies, especially small and mediumsized companies, face high internal and external costs for the implementation of the MES modules. An advantage of MES is the possibility to implement the systems in a continually, module-by-module approach, with the benefit of timely distributed investments. By realizing fast improvements, companies can use the benefits for further module implementations. This paper proposes a maturity model to measure the impact of an MES on the digital transformation of the company’s production systems. The model fulfils two purposes. The first, companies can measure the impact based on the difference between its current maturity index and the potential index of an implemented MES. The second is, the user can identify what impact an MES has in general on the digital transformation since the developed maturity model is derived from an established industry 4.0 maturity model. The development of the maturity model is based on the methodologies of AKKASOGLU and focuses on the further development of an established model. As an outlook, the application of the model will be described briefly. The proposed maturity model can directly be used by practitioners and offers implications for further development of MES functionalities.
Blockchain as Middleware+
(2019)
In supporting decision making of manufacturing companies, the added value of cross-domain data exchange for aggregating information is well established in enterprise organization research and is represented, for example, in the reference model “Internet of Production” (IoP). Currently, there is little research regarding the role of Blockchain technology in such a reference model and how specifically the IoP needs to be expanded to address cross-company data exchange. This paper presents a proposal for such an extension to outline the use of Blockchain technology and to elaborate the open research demands for implementation. In particular, desk research and the development of concrete use cases for cross-company data exchange between business application systems were carried out. The results are, on the one hand, extending the IoP by a third dimension, which corresponds to the supply chain, and, on the other hand clarification of the role Blockchain technology can take in this context.
This paper won the John Burbidge Best Paper Award (see Attachment 2).
Die Dezentralität ist einer der bedeutsamsten Aspekte der Blockchain-Technologie. Dennoch gibt es große Unterschiede in der Dezentralität verschiedener Blockchain-Applikationen. Ziel der vorliegenden Arbeit ist es, eine strukturelle und funktionelle Durchdringung des Aspekts der Dezentralität zu erreichen und Eigenschaften zu finden, die es ermöglichen verschiedene Blockchain-Applikationen in ihrer Dezentralität zu differenzieren. Der vorliegende Beitrag legt dar, dass die Datenverteilung und die Zugangsberechtigungen (Lese- und Schreibzugang) entscheidende Eigenschaften für die Dezentralität der Blockchain Applikationen sind. Diese Eigenschaften werden mithilfe eine morphologische Analyse untersucht und es wird ein detaillierter Überblick über die verschiedenen Ausprägungen der genannten Eigenschaften und der Auswirkungen auf die Dezentralität gegeben.
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.