| dc.contributor.author | Swanepoel, H.F. | |
| dc.contributor.author | Wichers, J.H. | |
| dc.date.accessioned | 2016-11-10T11:10:54Z | |
| dc.date.available | 2016-11-10T11:10:54Z | |
| dc.date.issued | 2016 | |
| dc.identifier.citation | Swanepoel, H.F. & Wichers, J.H. 2016. Engineering management and business intelligence: the importance of plant design base. (In Van Dyk, L., ed. Proceedings of the 27th annual Southern African Institute for Industrial Engineering Conference, 27-29 Oct, Stonehenge, South Africa. p.31-49). [http://conferences.sun.ac.za/index.php/saiie27/saiie27] | en_US |
| dc.identifier.isbn | 978-1-86822-671-9 | |
| dc.identifier.uri | http://hdl.handle.net/10394/19384 | |
| dc.identifier.uri | http://conferences.sun.ac.za/index.php/saiie27/saiie27 | |
| dc.description.abstract | Most popular business improvement models center their framework and approaches around business process improvement – thus on people, process and technology aspects of the business. They tend to drive business process improvement cycle elements, and seldom evaluate the impact of not using high quality critical plant design and control data effectively. As a result, these business models generally struggle to quantify their value proposition as they lack the plant and process data needed to demonstrate/prove value. This paper highlights the importance of understanding and using the plant design base as a primary input to process plant business improvement models and initiatives | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | SAIIE | en_US |
| dc.title | Engineering management and business intelligence: the importance of plant design base | en_US |
| dc.type | Presentation | en_US |
| dc.contributor.researchID | 10065350 - Wichers, Jacob Harm | |
