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8 Collaborative Working Strategies
Published in Stephen Emmitt, Kirti Ruikar, Collaborative Design Management, 2013
The process related change that a technology can bring about is, according to (Laudon and Laudon, 2002) four-fold: Process automation, which is the most common form of change where organisations use computers to speed up the performance and efficiency of existing tasks and functions.Rationalisation of procedures, which involves the streamlining of standard operating procedures, eliminating obvious bottlenecks, so that automation makes operating procedures more efficient.Business process re-engineering, which is a powerful form of organisational change in which business processes are analysed, simplified and redesigned.Paradigm shift, which involves rethinking the nature of the business and the nature of the organisation itself.
Establishment of critical success factors for implementation of product lifecycle management systems
Published in International Journal of Production Research, 2020
Shikha Singh, Subhas Chandra Misra, Felix T. S. Chan
The literature review and expert opinion have resulted in 17 success factors responsible for successful implementation of PLM systems in manufacturing organisations. These factors were categorised into three main dimensions, viz. technology, business process and practices, and people (Grieves 2006). In order to achieve the PLM goals, right PLM tool and business process alignment are prerequisites to PLM systems implementation. The business processes of a given organisation can be significantly improved before implementing PLM, but this requires business process re-engineering (Singh and Misra 2018a). Rangan et al. (2005) have described the importance of business processes on PLM implementation as ‘this lack of process commonality usually results in non-standardized and suboptimal PLM implementation with a high cost of ownership being passed to companies implementing such process-oriented integrations.’ The required business process and its re-engineering must be adequately understood to avail the potential benefits of PLM (Garetti et al. 2005).