Using multiple criteria decision analysis to aid the selection of enterprise resource planning software : a case study
Parkhill, Ross and Belton, Valerie and Bititci, Umit and Roberts, Alastair and Smith, M.; Howlett, R.J., ed. (2010) Using multiple criteria decision analysis to aid the selection of enterprise resource planning software : a case study. In: Innovation through knowledge transfer. Smart Innovation Systems and Technologies . Springer-Verlag Berlin, GBR, pp. 39-49. ISBN 9783642145933 (https://doi.org/10.1007/978-3-642-14594-0_4)
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Abstract
BHC Ltd is a family owned SME which specialises in steel fabrication for the construction industry. Due to rapid growth over the past decade the company’s current business software has evolved from a collection of semi-integrated individual packages and Excel spreadsheets. To help the company become more efficient during the current financial downturn and to ensure they are capable of future growth, BHC Ltd initiated a project with the University of Strathclyde to select and implement an Enterprise Resource Planning (ERP) solution. This paper will provide a case study of BHC’s ERP selection process. In particular it will discuss how steel specific business requirements and organisational culture led us to use multiple criteria decision analysis (MCDA) when making a final software selection. The MCDA process that was followed is further discussed and includes the success that was achieved by using this approach.
ORCID iDs
Parkhill, Ross, Belton, Valerie ORCID: https://orcid.org/0000-0003-2555-1469, Bititci, Umit, Roberts, Alastair and Smith, M.; Howlett, R.J.-
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Item type: Book Section ID code: 42471 Dates: DateEvent2010PublishedSubjects: Technology > Engineering (General). Civil engineering (General) > Engineering design Department: Strathclyde Business School > Management Science
Faculty of Engineering > Design, Manufacture and Engineering Management
Faculty of Science > Pure and Applied ChemistryDepositing user: Pure Administrator Date deposited: 07 Jan 2013 15:30 Last modified: 11 Nov 2024 14:51 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/42471