A strategy of knowledge elicitation for developing an integrated bidding/production management expert system for the precast industry

Hdl Handle:
http://hdl.handle.net/10149/98193
Title:
A strategy of knowledge elicitation for developing an integrated bidding/production management expert system for the precast industry
Authors:
Dawood, N. N. (Nashwan)
Affiliation:
University of Teesside. School of Science and Technology. Division of Civil Engineering and Building.
Citation:
Dawood, N. N. (1996) 'A strategy of knowledge elicitation for developing an integrated bidding/production management expert system for the precast industry', Advances in Engineering Software, 25 (2-3), pp.225-234.
Publisher:
Elsevier
Journal:
Advances in Engineering Software
Issue Date:
1996
URI:
http://hdl.handle.net/10149/98193
DOI:
10.1016/0965-9978(95)00091-7
Abstract:
Bidding and production decisions, including the estimation of optimal mark-up on price, represent major decision problems for companies formulating a successful business strategy. The objective of this research was to develop a strategy for developing an integrated bidding/production management expert system to assess the suitability of incoming enquiries for a particular company and suggests a 'bid/no bid' decision. If a decision to bid is taken then the expert system should provide advice on the optimal mark-up to maximise the chance of winning potential contracts. The system developed in this paper is composed of an information system, that integrates design, estimation and production planning, and a knowledge-base to provide abstracted information and advice to managers in charge of bidding. The information system analyses the records of previous contracts and presents managers with vital information that minimises the risk of poor decisions associated with bidding. The knowledge-base is composed of intelligent rules which were elicited from previous contract records and experienced managers in charge of bidding. They are designed to advise managers on two major issues: bid/no bid and estimation of optimal tender price. A number of factors that affect bidding strategies were identified from reviewing previous bidding methodologies and surveying eight major companies in the UK by means of semi-structured interviews.
Type:
Article
Language:
en
Keywords:
bidding; expert systems; information systems; precasting
ISSN:
0965-9978
Rights:
Author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 07/05/2010]
Citation Count:
6 [Scopus, 07/05/2010]

Full metadata record

DC FieldValue Language
dc.contributor.authorDawood, N. N. (Nashwan)en
dc.date.accessioned2010-05-07T13:58:14Z-
dc.date.available2010-05-07T13:58:14Z-
dc.date.issued1996-
dc.identifier.citationAdvances in Engineering Software; 25(2-3):225-234en
dc.identifier.issn0965-9978-
dc.identifier.doi10.1016/0965-9978(95)00091-7-
dc.identifier.urihttp://hdl.handle.net/10149/98193-
dc.description.abstractBidding and production decisions, including the estimation of optimal mark-up on price, represent major decision problems for companies formulating a successful business strategy. The objective of this research was to develop a strategy for developing an integrated bidding/production management expert system to assess the suitability of incoming enquiries for a particular company and suggests a 'bid/no bid' decision. If a decision to bid is taken then the expert system should provide advice on the optimal mark-up to maximise the chance of winning potential contracts. The system developed in this paper is composed of an information system, that integrates design, estimation and production planning, and a knowledge-base to provide abstracted information and advice to managers in charge of bidding. The information system analyses the records of previous contracts and presents managers with vital information that minimises the risk of poor decisions associated with bidding. The knowledge-base is composed of intelligent rules which were elicited from previous contract records and experienced managers in charge of bidding. They are designed to advise managers on two major issues: bid/no bid and estimation of optimal tender price. A number of factors that affect bidding strategies were identified from reviewing previous bidding methodologies and surveying eight major companies in the UK by means of semi-structured interviews.en
dc.language.isoenen
dc.publisherElsevieren
dc.rightsAuthor can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 07/05/2010]en
dc.subjectbiddingen
dc.subjectexpert systemsen
dc.subjectinformation systemsen
dc.subjectprecastingen
dc.titleA strategy of knowledge elicitation for developing an integrated bidding/production management expert system for the precast industryen
dc.typeArticleen
dc.contributor.departmentUniversity of Teesside. School of Science and Technology. Division of Civil Engineering and Building.en
dc.identifier.journalAdvances in Engineering Softwareen
ref.citationcount6 [Scopus, 07/05/2010]en
or.citation.harvardDawood, N. N. (1996) 'A strategy of knowledge elicitation for developing an integrated bidding/production management expert system for the precast industry', Advances in Engineering Software, 25 (2-3), pp.225-234.-
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