عنوان انگلیسی مقاله:
Resilience cloud-based global supply chain network design under uncertainty: Resource-based approach
ترجمه فارسی عنوان مقاله:
انعطاف پذیری مبتنی بر ابر طراحی شبکه جهانی زنجیره تامین تحت عدم اطمینان: رویکرد مبتنی بر منابع
Sciencedirect - Elsevier - Computers & Industrial Engineering, 158 (2021) 107382: doi:10:1016/j:cie:2021:107382
This study presents a fuzzy multi-objective mathematical programming model to design an efficient and resil- ience global supply chain network structure based on the service-oriented approach. Service composition and transportation within globally scattered resources are considered under the cloud manufacturing paradigm. The proposed comprehensive model is adapted to a global electrical medical device manufacturing system. Key performance measures include robustness, agility, leanness, and flexibility as resiliency pillars are considered in designing the network under uncertainty. To efficiently deal with the computational tractability of this non- linear and multi-objective optimization problem, a new hybrid solution algorithm is developed that in- corporates fuzzy multi-criteria decision-making methods and augmented ε-constraint method. Obtained computational results of a real case study present that the proposed service-oriented global supply chain network design can respond to its global customers’ demands in a resilient as well as efficient manner.
Keywords: Resilience supply chain | Cloud manufacturing | Resource-based approach | Uncertainty | Multi-objective