Highlights in Customer-driven Operations Management Research
| Autor: | Stefan Wiesner, Bjørn Borsøe Christensen, Thorsten Wuest, Ann-Louise Andersen, Ang Liu, Khaled Medini, Fei Tao, David Romero |
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| Přispěvatelé: | École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Institut Henri Fayol (FAYOL-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département Génie de l’environnement et des organisations (FAYOL-ENSMSE), Institut Henri Fayol-Ecole Nationale Supérieure des Mines de St Etienne, Aalborg University [Denmark] (AAU), West Virginia University [Morgantown], Department of Materials and Production [Aalborg], Bremer Institut für Produktion und Logistik GmbH (BIBA), Universität Bremen, Tecnológico de Monterrey (ITESM), Beihang University (BUAA), Breuil, Florent, Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Institut Henri Fayol-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE) |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Computer science media_common.quotation_subject Industry 40 Customer-Driven Complexity Management 02 engineering and technology Value Network 010501 environmental sciences 01 natural sciences 020901 industrial engineering & automation Complexity management Production (economics) Operational complexity Quality (business) Operations management 0105 earth and related environmental sciences General Environmental Science media_common Operations Management Requirements engineering 9. Industry and infrastructure [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Product (business) Value network Key (cryptography) General Earth and Planetary Sciences [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation |
| Zdroj: | Procedia CIRP 7th CIRP Global Web Conference, Towards Shifted Production Value Stream Patterns Inference of Data, Models and Technology 7th CIRP Global Web Conference, Towards Shifted Production Value Stream Patterns Inference of Data, Models and Technology, Oct 2019, Berlin, Germany Medini, K, Andersen, A-L, Wuest, T, Christensen, B, Wiesner, S, Romero, D, Liu, A & Tao, F 2019, ' Highlights in Customer-driven Operations Management Research ', Procedia CIRP, vol. 86, pp. 12-19 . https://doi.org/10.1016/j.procir.2020.01.026 |
| ISSN: | 2212-8271 |
| Popis: | International audience; The evolution from mass-produced to mass-customized and even personalized products, services, and product-service bundles leads to increasing complexity of operations management. These new realities challenge companies in both business-to-business and business-to-customer markets to compete not only on the traditional basis of cost, quality, and delivery time but also on the capabilities in managing this increasing operational complexity. The objective of this paper is to identify key challenges and opportunities in managing operations in complex customer-driven manufacturing covering the value network, requirements engineering, product configuration, and the production systems, as well as the opportunities for handling these through digitally-enabled methods and tools for materializing the Industry 4.0 vision of efficient lot-size-one productions. |
| Databáze: | OpenAIRE |
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