781,906 research outputs found
Survey on Additive Manufacturing, Cloud 3D Printing and Services
Cloud Manufacturing (CM) is the concept of using manufacturing resources in a
service oriented way over the Internet. Recent developments in Additive
Manufacturing (AM) are making it possible to utilise resources ad-hoc as
replacement for traditional manufacturing resources in case of spontaneous
problems in the established manufacturing processes. In order to be of use in
these scenarios the AM resources must adhere to a strict principle of
transparency and service composition in adherence to the Cloud Computing (CC)
paradigm. With this review we provide an overview over CM, AM and relevant
domains as well as present the historical development of scientific research in
these fields, starting from 2002. Part of this work is also a meta-review on
the domain to further detail its development and structure
Low carbon manufacturing: Characterization, theoretical models and implementation
Today, the rising of carbon dioxide (CO2) emissions is becoming the crucial factor for global warming especially in industrial sectors. Therefore, the research to reduce carbon intensity and enhance resources utilization in manufacturing industry is starting to be a timely topic. Low carbon manufacturing (LCM) can be referred to the manufacturing process that produces low carbon emissions intensity and uses energy and resources efficiently and effectively during the process as well.
In this paper, the concepts of LCM are discussed and the LCM associated theoretical models, characterization and implementation perspective explored. The paper is structured in four parts. Firstly, the conception of low carbon manufacturing is critically reviewed then the characterization of low carbon manufacturing is discussed and formulated. Third part, the theoretical models are developed with initial models by using the theory from supply chain modeling and linear programming solutions (LP). The models show the relationship of resource utilizations and related variables for LCM in two levels: shop-floor and extended supply chain. Finally, the pilot implementations of LCM are discussed with two approaches: desktop or micro machines and devolved manufacturing. The paper is concluded with further discussions on the potential and application of LCM for manufacturing industry
Measuring the level of lean readiness of the Hong Kong's manufacturing industry
Increasingly competitive business environments have forced manufacturing organisations to continuously seek improvements in their production processes as an alternative to achieve operational excellence. Lean manufacturing principles and techniques based on the elimination waste have been widely used by manufacturing organisations around the world to drive such improvements. The purpose of this paper is to present an empirical study that evaluates the readiness level of the Hong Kongâs manufacturing industry to provide a foundation for the successful implementation and/or sustainment of lean practices. To conduct this study, the paper adapts an assessment framework developed by Al-Najem et al. [16]. Thus, the lean readiness assessment is based on six quality practices (i.e. planning & control; processes; human resources; customer relations; supplier relations; and top management & leadership) related to lean manufacturing. One research question and three hypotheses were formulated and tested using a combination of inferential statics (i.e. Leveneâs test and t-test) and descriptive statistics. Data were collected through a survey questionnaire responded by 9 manufacturing organisations with operations in Hong Kong. The findings suggest that the Hong Kongâs manufacturing organisations surveyed do not currently have a well-developed foundation to implement or sustain lean manufacturing. In particular, these organisations present important opportunities to further develop some quality practices such as processes, planning & control, customer relations, supplier relations, human resources, and top management & leadership. The improvement of these quality practices will ensure, according to Al-Najem et al.âs [16] framework, a more effective implementation and sustainment of lean manufacturing in their operations
Nonterrestrial utilization of materials: Automated space manufacturing facility
Four areas related to the nonterrestrial use of materials are included: (1) material resources needed for feedstock in an orbital manufacturing facility, (2) required initial components of a nonterrestrial manufacturing facility, (3) growth and productive capability of such a facility, and (4) automation and robotics requirements of the facility
An investigation into the cloud manufacturing based approach towards global high value manufacturing for smes
Considering the high labour costs and intensive competitions in the global market, improving the effective deployment of innovative design and manufacturing and utilisation of all existing technical information, for the full life cycle of the product, is essential and much needed for manufacturing Small and Medium sized Enterprises (SMEs) in particular. Cloud Manufacturing , as a powerful tool supported with âbig dataâ, will likely enable SMEs to move towards using dynamic scalability and âfreeâ available data resources in a virtual manner and to provide solution-based, value-added, digital-driven manufacturing service over the Internet. The research presented in this paper aims to develop a cloud manufacturing based approach towards value-added, knowledge/solution driven manufacturing for SMEs, where there are many constraints in engaging responsive high value manufacturing. The paper will present the framework, architecture and key moderator technologies for implementing cloud manufacturing and the associated application perspectives. The paper concludes with further discussion on the potential and application of the approach
Enhanced cell controller for aerospace manufacturing
Aerospace manufacturing industry is unique in that production typically focuses on high variety and quality but extremely low volume. Manufacturing processes are also sometimes unique and not repeatable and, hence, costly. Production is getting more expensive with the introduction of industrial robots and their cells. This paper describes the development of the Flexa Cell Coordinator (FCC), a system that is providing a solution to manage resources at assembly cell level. It can control, organise and coordinate between the resources and is capable of controlling remote cells and resources because of its distributed nature. It also gives insight of a system to the higher management via its rich reporting facility and connectivity with company systems e.g., Enterprise Resource Planner (ERP). It is able to control various kinds of cells and resources (network based) which are not limited to robots and machines. It is extendable and capable of adding multiple numbers of cells inside the system. It also provides the facility of scheduling the task to avoid the deadlocking in the process. In FCC resources (e.g., tracker) can also be shared between cells
Simulating Primary Manufacturing Area (PMA) activities of fixed trailing edge panels production
Simulation clearly has the potential to play an important role in manufacturing decision-making at many levels. This simulation study is conducted at the local manufacturing plant that manufactures fixed trailing edge panels for
the aerospace industry. The model focused on operational activities at the primary manufacturing area of cutting and laminating of aircraftâs composite parts. The model built was used to investigate a variety of issues, for example
to determine the impact of a proposed change, without affecting production.The result shows that when production rate was increased by 20% to investigate the current plant capacity, the current resources capacity was unable to tolerate this increment. From the model experimentation, an increase of 60 minutes working time for ply cutter machines and 75 minutes of lay up operators found to be the best design to meet the expected production throughput and increase resources utilisation
Harvesting Near Earth Asteroid Resources Using Solar Sail Technology
Near Earth asteroids represent a wealth of material resources to support future space ventures. These resources include water from C-type asteroids for crew logistic support; liquid propellants electrolytically cracked from water to fuel crewed vehicles and commercial platforms; and metals from M-type asteroids to support in-situ manufacturing. In this paper the role of solar sail technology will be investigated to support the future harvesting of near Earth asteroid resources. This will include surveying candidate asteroids though in-situ sensing, efficiently processing asteroid material resources and returning such resources to near-Earth space. While solar sailing can be used directly as a low cost means of transportation to and from near Earth asteroids, solar sail technology itself offers a number of dual-use applications. For example, solar sails can in principle be used as solar concentrators to sublimate material. If a metal-rich M-type asteroid is processed through solar heating, then the flow of metal resources made available could be manufactured into further reflective area. The additional thermal power generated would then accelerate the manufacturing process. Such a strategy could enable rapid in-situ processing of asteroid resources with exponential scaling laws. It is proposed that solar sailing therefore represents a key technology for harvesting near Earth asteroids, using sunlight both as heat for asteroid processing and radiation pressure for resource transportation
Product to process lifecycle management in assembly automation systems
Presently, the automotive industry is facing enormous pressure due to global competition and ever
changing legislative, economic and customer demands. Product and process development in the
automotive manufacturing industry is a challenging task for many reasons. Current product life
cycle management (PLM) systems tend to be product-focussed. Though, information about
processes and resources are there but mostly linked to the product. Process is an important aspect,
especially in assembly automation systems that link products to their manufacturing resources. This
paper presents a process-centric approach to improve PLM systems in large-scale manufacturing
companies, especially in the powertrain sector of the automotive industry. The idea is to integrate
the information related to key engineering chains i.e. products, processes and resources based upon
PLM philosophy and shift the trend of product-focussed lifecycle management to process-focussed
lifecycle management, the outcome of which is the Product, Process and Resource Lifecycle
Management not PLM only
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