Zheng, P, Lu, Y, Xu, X et al. (1 more author) (2017) A system framework for OKP product planning in a cloud-based design environment. Robotics and Computer-Integrated Manufacturing, 45. pp. 73-85. ISSN 0736-5845
Abstract
Nowadays, one-of-a-kind (OKP) companies, which generally operate in an 'engineer-to-order' business mode, strive to deliver individualized products with quality to achieve customer satisfaction. Thus, an accurate and prompt analysis of customer requirements (CRs) in the early design stage is critical to its success. However, most OKP companies are small or medium-sized enterprises (SMEs). Due to the limited resources and low product planning budget, they often cannot obtain abundant CR information nor can they afford the expense of complicated planning process. To address these issues, a system framework is proposed in support of OKP product planning process in a cloud-based design (CBD) environment. The challenges and future market niches of OKP companies are presented. The comparison of typical distributed systems shows that CBD, which utilizes advanced information technologies and business model, has advantages in providing sufficient resources, decreasing product development time span for OKP companies in a cost-efficient way. This article describes the proposed system architecture, the business interaction process and the information communication among customers, designers and marketing analysts at the product planning stage. To validate the proposed framework, a prototype system module MyProduct is under development in the CBD environment with an illustrative example.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2016 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Robotics and Computer-Integrated Manufacturing. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | One-of-a-kind production; Product planning; Cloud-based design; Cloud manufacturing; Mass customisation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Feb 2017 15:24 |
Last Modified: | 11 Jan 2023 12:53 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.rcim.2016.04.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:112863 |
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