Optimizing ERP readiness improvements under budgetary constraints

dc.contributor.author	Ahmadi, Sadra	en
dc.contributor.author	Yeh, Chung-Hsing	en
dc.contributor.author	Martin, Rodney	en
dc.contributor.author	Παπαγεωργίου, Ελπινίκη	el
dc.date.accessioned	2015-06-14T23:45:08Z
dc.date.available	2015-06-14T23:45:08Z
dc.date.issued	2015-06-15
dc.identifier.uri	http://hdl.handle.net/11400/16083
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.sciencedirect.com	en
dc.subject	Αλγόριθμοι
dc.subject	Algorithms
dc.title	Optimizing ERP readiness improvements under budgetary constraints	en
heal.type	journalArticle
heal.classification	Technology
heal.classification	Computer science
heal.classification	Τεχνολογία
heal.classification	Πληροφορική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Πληροφορική
heal.identifier.secondary	doi:10.1016/j.ijpe.2014.11.020
heal.language	en
heal.access	campus
heal.publicationDate	2015-03
heal.bibliographicCitation	Ahmadi, S., Papageorgiou, E., Yeh, C.-H. and Martin, R. (2015) Optimizing ERP readiness improvements under budgetary constraints. "International Journal of Production Economics", 161, p.105-115	en
heal.abstract	An organization needs to be ready before implementing a complex enterprise resource planning (ERP) system. To achieve this aim, organization has to address two questions: (1) “is the organization sufficiently ready to accept an ERP system” and (2) “what is the most cost effective plan for improving the readiness, if the organization is not sufficiently ready?”. To estimate the current readiness an organization must consider the interrelationships between influential readiness factors and find the best improvement plan as a multi-objective trade-off between the two objectives of maximum readiness and lowest cost. In this paper we demonstrate how to calculate the readiness, and then solve the multi-objective optimization problem. We estimate readiness by using fuzzy cognitive maps to include all the complex causal relationships between factors. We solve the multi-objective optimization problem by using the NSGA-II evolutionary algorithm. The final result is a set of optimal improvement plans where an organization can choose which plan suits it the best.	en
heal.publisher	Elsevier	en
heal.journalName	International Journal of Production Economics	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true