
Artificial Intelligence in Operations Research
Palgrave Macmillan (Publisher)
Published on 28. April 1992
Book
Hardback
376 pages
978-0-333-55117-2 (ISBN)
Description
A collection of articles which are divided into five parts: practical experiences regarding the use of artificial intelligence in operational research, application areas, production planning and scheduling, simulation and methodology.
More details
Language
English
Place of publication
Basingstoke
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 282 mm
Width: 213 mm
Weight
1160 gr
ISBN-13
978-0-333-55117-2 (9780333551172)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
Part 1 Practical experiences: operational research participation in artificial intelligence, G.I.Doukidis and R.J.Paul; a survey of the application of artificial intelligence techniques within the OR society, G.I.Doukidis and R.J.Paul; from OR to knowledge-based systems - an industrial experience, H.Walters and R.Schtaklef; a five hour expert system tutorial for management students, P.N.Finley et al; experiences in developing an expert system for MBA admissions, P.N.Finley and M.King. Part 2 Application areas: combining operational research and artificial intelligence, G.I.Doukidis and R.J.Paul; an artificial intelligence approach for improving computer communications network topologies, S.Pierre and H.H.Hoang; multicriteria analysis represented by artificial intelligence techniques, G.Balestra and A.Tsoukias; using an expert system to monitor an automatic stock control system, J.C.Thorpe et al; simple expert systems for computer assisted instruction, M.King and L.McAulay; fuzzy ordinal models for AI-OR, I.B.Turksen; administering rule development in rule-based expert systems, P.N.Finley et al. Part 3 Production planning and scheduling: operational research approaches to artificial intelligence in production planning and scheduling, R.J.Paul and G.I.Doukidis; the cheduler's predictive experise - an interdisciplinary perspective, K.N.McKay et al; a knowledge-based approach to production planning, P.Duchessi and R.M.O'Keefe; an expert system frameowrk for economic evaluation of machining operation planning, G.Zhang et al; an integrated framework for generating and revising factory schedules, S.F.Smith et al; distribution of empty railcars by an expert system - a case study with comparison to OR approaches, A.Beurrier et al; integration of AI and OR techniques for computer-aided algorithmic design in the vehicle routing domain, J.Y.Potvin et al. Part 4 Simulation: artificial intelligence and expert systems in simulation modeling, R.J.Paul and G.I.Doukidis; a simulation and learning technique for generating knowledge about manufacturing systems behaviour, H.Pierreval and H.Ralambondrainy; replenishment at sea, T.M.Williams et al; knowledge-based design and simulation environment (KBDSE) - foundational concepts and implementation, J.W.Rozenblit et al; artificial intelligence and decision analysis, F.W.Dewhurst and E.A.Gwinnet; is there a place in OR for intelligent tutoring systems?, M.Angelides and G.I.Doukidis. (Part contents).