Abstract
ABSTRACTConsidering the globalization concept, all companies around the world are able to communicate with each other, share their technologies, and eliminate their production incapability issues. To achieve this goal, Cloud manufacturing system has been proposed. One of the most important issues in Cloud manufacturing is service composition, in which composition of cloud services is determined to meet customer orders. This paper considers a single-product supply network over one period in Cloud manufacturing system with the goal of service composition optimization. The network is designed in a layered structure considering transportation and production services and customers can be classified in specific clusters. A new algorithm is proposed to assign the services to the network layers, and the problem is formulated as a mixed integer model with the objective of maximizing the profit of the network. Also as the problem has an NP-hard origin a meta-heuristic algorithm is exploited to solve it.
Highlights
Very recently, the globalization paradigm has intensified the needs for interoperability and integration among processes, operations, companies, and factories
Cloud manufacturing is the future model of manufacturing systems, and many of manufacturing companies will upgrade their systems into cloud-based manufacturing models
The high conformity and adaptability of cloud-based manufacturing systems are the keys that enable this model for future manufacturing environments and postIndustry 4.0 era
Summary
The globalization paradigm has intensified the needs for interoperability and integration among processes, operations, companies, and factories. Globalization has changed the structure of supply chains and the way they work (Wu et al 2013a, Delaram & Valilai, 2016, 2017) This change is mainly empowered by new manufacturing models especially Cloud manufacturing which decrease the cost of initial investment and increase the production speed by creating virtual production lines. In current manufacturing supply chain requirements flow down from product level to suppliers, who can engage sub-tier suppliers to assist with the product development process. These relationships can be fruitful for all parties involved, the opportunity to enhance the consumer needs Capacitated Vehicle Routing Problem (CVRP or CVRPTW): The vehicles have limited capacity for carrying the goods should be delivered
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