Loading...
| Friend's email | |
| Your name | |
| Your email | |
| enter code | |
This page was sent successfuly
Bookmark
Review List
627 viewed
A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy
Aghamohammadzadeh, E
A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy
Aghamohammadzadeh, E ; Sharif University of Technology | 2020
627
Viewed
- Type of Document: Article
- DOI: 10.1080/00207543.2019.1640406
- Publisher: Taylor and Francis Ltd , 2020
- Abstract:
- In recent years, economic globalisation and manufacturing resource globalisation as two key factors have driven enterprises to transform their business processes to survive in competitive environments. This transformation is challenging as manufacturing enterprises should maintain their support for their customers with high-quality products, lower cost, product customisation capabilities, and quick delivery. Moreover, globalisation has resulted in geographically distributed suppliers across the globe. This challenge will turn into a major research topic when paradigms like Cloud manufacturing are introduced. Cloud manufacturing is a new paradigm which provides ubiquitous, convenient, on-demand network access to a shared pool of configurable manufacturing resources. In this paper, to achieve the ideal goal of Cloud manufacturing, the concept of supplier network logistics planning and manufacturing service composition is focused. Every production task and logistics operation would be defined as a service considering operation process chart flows. The paper has proposed a mathematical model which selects an optimal set of manufacturing and logistics service composition in order to lower operation and logistics costs in operational perspective while fulfilling a novel idea for configured cloud entropy of logistics and operation suppliers. Finally, the paper has presented a numerical example and concluded the remarks, and outlined future research. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group
- Keywords:
- Cloud manufacturing ; Cloud-entropy ; Logistics ; QoS ; Service composition ; Computer aided manufacturing ; Entropy ; Manufacture ; Quality of service ; Competitive environment ; Economic globalisation ; Manufacturing enterprise ; Manufacturing operations ; Manufacturing resource ; Product customisation ; Service compositions ; Industrial research
- Source: International Journal of Production Research ; Volume 58, Issue 7 , 2020 , Pages 1987-2015
- URL: https://www.tandfonline.com/doi/abs/10.1080/00207543.2019.1640406