Suchergebnisse - "Matthias Thürer"

(Re)-discovering simulation as a critical element of OM/SCM research: call for research

Autoren: Steven Alexander Melnyk Matthias Thürer Constantin Blome et al.

Weitere Verfasser: Steven Alexander Melnyk Matthias Thürer Constantin Blome et al.

Quelle: International Journal of Operations & Production Management, (2023)

Schlagwörter: Management of Technology and Innovation, Strategy and Management, General Decision Sciences, 12. Responsible consumption

Dateibeschreibung: text

Zugangs-URL: https://hdl.handle.net/2078.1/282660
https://eprints.lancs.ac.uk/id/eprint/212312/

Dynamic planned lead times in production planning and control systems: does the lead time syndrome matter?

Autoren: Matthias Thürer Nuno O. Fernandes Stefan Haeussler et al.

Quelle: International Journal of Production Research. 61:1268-1282

Schlagwörter: 8. Economic growth, 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology

Dateibeschreibung: text

Zugangs-URL: https://eprints.lancs.ac.uk/id/eprint/164806/

From Supply Chain Risk to Systemwide Disruptions: Research Opportunities in Forecasting, Risk Management, and Product Design

Autoren: Tyson Browning Maneesh Kumar Nada Sanders et al.

Quelle: SSRN Electronic Journal.

Schlagwörter: 0502 economics and business, 05 social sciences

Design science research in operations management: is there a single type?

Autoren: Bagni, Gustavo Godinho Filho, Moacir Finne, Max et al.

Quelle: Production Planning & Control; Apr2025, Vol. 36 Issue 6, p789-807, 19p

Schlagwörter: DESIGN science, OPERATIONS management, RESEARCH methodology, EMPIRICAL research

Shop floor dispatching with variable urgent operations based on Workload Control: An assessment by simulation

Autoren: Mingze Yuan Lin Ma Ting Qu et al.

Quelle: IET Collaborative Intelligent Manufacturing, Vol 5, Iss 3, Pp n/a-n/a (2023)

Schlagwörter: job shop scheduling, manufacturing industries, manufacturing systems, Manufactures, TS1-2301, Technological innovations. Automation, HD45-45.2

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2516-8398

Zugangs-URL: https://doaj.org/article/872949c5cc7449b8a5f95fb8d5751079

The DDMRP Replenishment Model: An Assessment by Simulation.

Autoren: Fernandes, Nuno O. Djabi, Suleimane Thürer, Matthias et al.

Quelle: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 21, p3483, 13p

Schlagwörter: SUPPLY chains, INVENTORY control, PARAMETERIZATION, COMPUTER simulation, BUFFER inventories, BUFFER storage (Computer science)

Dynamic planned lead times in production planning and control systems: does the lead time syndrome matter?

Autoren: Thürer, Matthias Fernandes, Nuno O. Haeussler, Stefan et al.

Quelle: International Journal of Production Research; Feb2023, Vol. 61 Issue 4, p1268-1282, 15p, 5 Charts, 2 Graphs

Schlagwörter: PRODUCTION planning, LEAD time (Supply chain management), PRODUCTION control, MATERIAL requirements planning, SCHEDULING

Is lean a theory? Viewpoints and outlook

Autoren: Pär Åhlström Pamela Danese Peter Hines et al.

Quelle: International Journal of Operations & Production Management. 41:1852-1878

Schlagwörter: Lean, Lean theory, Operational excellence, 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology

Dateibeschreibung: application/pdf

Zugangs-URL: https://research.utwente.nl/en/publications/is-lean-a-theory-viewpoints-and-outlook
https://www.research-collection.ethz.ch/handle/20.500.11850/516895
https://hdl.handle.net/11577/3416353
https://doi.org/10.1108/IJOPM-06-2021-0408

Measuring employee involvement in Lean Manufacturing efforts: proposal of a robust scale.

Autoren: de Medeiros, Nayara Cardoso Godinho Filho, Moacir Callefi, Mario Henrique et al.

Quelle: International Journal of Production Research; Jun2025, Vol. 63 Issue 12, p4590-4615, 26p

Schlagwörter: EMPLOYEE participation in management, EXPLORATORY factor analysis, CONFIRMATORY factor analysis, LEAN management, JOB involvement

Semiconductor supply chain resilience and disruption: insights, mitigation, and future directions.

Autoren: Xiong, Wei Wu, David D. Yeung, Jeff H. Y.

Quelle: International Journal of Production Research; May2025, Vol. 63 Issue 9, p3442-3465, 24p

Schlagwörter: SUPPLY chain disruptions, SUPPLY chains, SEMICONDUCTOR industry, LANDSCAPE changes, PUBLIC health, SUPPLY chain management

Implementation of digital twins as a tool for increasing the efficiency of business operations.

Autoren: Korepin, Vadim Mohamed, Tarek Ismail Zhaksylyk, Almash et al.

Quelle: Economics of Innovation & New Technology; Jul2025, Vol. 34 Issue 5, p689-704, 16p

Schlagwörter: DIGITAL twin, DATA analytics, DIGITAL technology, HIGH technology industries, CLUSTER analysis (Statistics), DIGITIZATION

(Re)-discovering simulation as a critical element of OM/SCM research: call for research.

Autoren: Melnyk, Steven Alexander Thürer, Matthias Blome, Constantin et al.

Quelle: International Journal of Operations & Production Management; 2024, Vol. 44 Issue 7, p1376-1389, 14p

Schlagwörter: SUPPLY chain management, PRODUCTION management (Manufacturing), ARTIFICIAL intelligence, OPERATIONS management, MACHINE learning

The strong effect of flexible capacities on achievable WIP levels and throughput times: a simple model and its implications.

Autoren: Lödding, Hermann Steffens, Constantin Winter, Michael

Quelle: International Journal of Production Research; Mar2025, Vol. 63 Issue 6, p2291-2304, 14p

Schlagwörter: QUEUING theory, FORECASTING, EQUATIONS

From supply chain risk to system-wide disruptions: research opportunities in forecasting, risk management and product design.

Autoren: Browning, Tyson Kumar, Maneesh Sanders, Nada et al.

Quelle: International Journal of Operations & Production Management; 2023, Vol. 43 Issue 12, p1841-1858, 18p

Schlagwörter: SUPPLY chains, PRODUCT design, SUPPLY chain management, PRODUCT management, COVID-19 pandemic

Exploring the applications of natural language processing and language models for production, planning, and control activities of SMEs in industry 4.0: a systematic literature review.

Autoren: Mathieu, Bourdin Anas, Neumann Thomas, Paviot et al.

Quelle: Journal of Intelligent Manufacturing; Dec2025, Vol. 36 Issue 8, p5263-5283, 21p

Schlagwörter: NATURAL language processing, LANGUAGE models, DIGITAL technology, INDUSTRY 4.0, SMALL business

The practitioner perspective is more complete: analysing supply chain collaboration for the circular economy.

Autoren: Sudusinghe, Jayani Ishara Seuring, Stefan

Quelle: Production Planning & Control; Nov2025, Vol. 36 Issue 15, p2196-2219, 24p

Schlagwörter: SUPPLY chains, CIRCULAR economy, COOPERATION, DELPHI method, EXPERTISE, ADVISORY boards, SCHOLARLY method

Exploring the socio-technical interactions associated with lean implementation: a systematic literature review.

Autoren: Liu, Canlong González, Vicente A. Pavez, Ignacio et al.

Quelle: Production Planning & Control; Nov2025, Vol. 36 Issue 15, p2109-2141, 33p

Schlagwörter: SOCIOTECHNICAL systems, LEAN management, INQUIRY (Theory of knowledge), OPERATIONS management, EMPIRICAL research, BIBLIOMETRICS, TREND analysis

Deep learning and sequence mining for manufacturing process and sequence selection.

Autoren: Zhao, Changxuan Dinar, Mahmoud Melkote, Shreyes N.

Quelle: International Journal of Production Research; Jul2024, Vol. 62 Issue 14, p5293-5314, 22p

Schlagwörter: CONVOLUTIONAL neural networks, GRAPH neural networks, DEEP learning, MANUFACTURING processes, ARTIFICIAL neural networks

When digital technologies and Lean collide: The impact on performance and people.

Quelle: Strategic Direction; 2024, Vol. 40 Issue 5, p12-15, 4p

Schlagwörter: DIGITAL technology, LEAN management, INDUSTRY 4.0, DIGITAL transformation, RESEARCH personnel

Rethinking Skinner’s model: strategic trade-offs in products and services

Autoren: Matthias Thürer Garvan Whelan Roberto Sarmiento

Quelle: Management Research Review. 39:1199-1213

Schlagwörter: 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology

Zugangs-URL: https://www.emeraldinsight.com/doi/10.1108/MRR-02-2015-0042
https://www.bv.fapesp.br/pt/publicacao/122769/rethinking-skinners-model-strategic-trade-offs-in-products/
https://www.emerald.com/insight/content/doi/10.1108/MRR-02-2015-0042/full/html
https://ideas.repec.org/a/eme/mrrpps/v39y2016i10p1199-1213.html