Design of a hybrid cloud manufacturing environment for production of personalized products
type: CreativeWork
description: The growing demand for highly customised products has seen manufacturing companies seek new ways to streamline their internal business processes, reconstruct their production lines, and reengineer their business models to increase responsiveness in a dynamic market. As such, the effective management and utilisation of global manufacturing resources are crucial to achieving customer satisfaction and enabling companies to deliver fast time-to-market customised products at changing production scales. However, manufacturing companies, especially Small and Medium-sized Enterprises (SMEs) have limited resources and experience, and lack effective systems and tools to work in an ever-increasingly distributed, networked cloud environment that calls for significant production flexibility. This results in a need for better resource management and production planning in a global production network. In response to this need, the MCloud project was begun. The key objective of this project was to develop an integrated solution to enable rapid production of highly customised products, using globally sourced manufacturing resources. A flexible, web-based system (MCloud) was developed with the aim of enabling rapid configuration of distributed manufacturing resources through better understanding of resource constraints for the production of highly customised products. The overall system model is inspired by an emerging service-oriented manufacturing paradigm – cloud manufacturing. Cloud manufacturing is a serviceoriented, knowledge-based new mode of networked manufacturing. It aims at facilitating manufacturers to minimise their product life-cycle expenses, maximise production efficiency, and provide agile accommodation of the available manufacturing assets to the variable demands of customers. Cloud manufacturing assumes that manufacturers use crowdsourcing and outsourcing models for manufacturing operations and supporting services. To determine the significant research dimensions t…
abstract: The growing demand for highly customised products has seen manufacturing companies seek new ways to streamline their internal business processes, reconstruct their production lines, and reengineer their business models to increase responsiveness in a dynamic market. As such, the effective management and utilisation of global manufacturing resources are crucial to achieving customer satisfaction and enabling companies to deliver fast time-to-market customised products at changing production scales. However, manufacturing companies, especially Small and Medium-sized Enterprises (SMEs) have limited resources and experience, and lack effective systems and tools to work in an ever-increasingly distributed, networked cloud environment that calls for significant production flexibility. This results in a need for better resource management and production planning in a global production network. In response to this need, the MCloud project was begun. The key objective of this project was to develop an integrated solution to enable rapid production of highly customised products, using globally sourced manufacturing resources. A flexible, web-based system (MCloud) was developed with the aim of enabling rapid configuration of distributed manufacturing resources through better understanding of resource constraints for the production of highly customised products. The overall system model is inspired by an emerging service-oriented manufacturing paradigm – cloud manufacturing. Cloud manufacturing is a serviceoriented, knowledge-based new mode of networked manufacturing. It aims at facilitating manufacturers to minimise their product life-cycle expenses, maximise production efficiency, and provide agile accommodation of the available manufacturing assets to the variable demands of customers. Cloud manufacturing assumes that manufacturers use crowdsourcing and outsourcing models for manufacturing operations and supporting services. To determine the significant research dimensions t…
author: Lu, Y
license: https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
date published: 2016
date modified: 2026-07-24T01:06:10Z
provider: University of Auckland
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: ResearchSpace@Auckland

PropertyValue
property ID: Handle
value: https://hdl.handle.net/2292/31208