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Titolo:
An integrated survey of deterministic project scheduling
Autore:
Kolisch, R; Padman, R;
Indirizzi:
Carnegie Mellon Univ, H John Heinz III Sch Publ Policy & Management, Pittsburgh, PA 15213 USA Carnegie Mellon Univ Pittsburgh PA USA 15213 nt, Pittsburgh, PA 15213 USA Tech Univ Darmstadt, Inst Betriebswirtschaftslehre, D-64289 Darmstadt, Germany Tech Univ Darmstadt Darmstadt Germany D-64289 D-64289 Darmstadt, Germany
Titolo Testata:
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
fascicolo: 3, volume: 29, anno: 2001,
pagine: 249 - 272
SICI:
0305-0483(200106)29:3<249:AISODP>2.0.ZU;2-R
Fonte:
ISI
Lingua:
ENG
Soggetto:
RESOURCE-CONSTRAINED PROJECTS; NET PRESENT VALUE; DISCOUNTED CASH FLOWS; COST TRADEOFF PROBLEM; DUMMY-ACTIVITIES PROBLEM; DECISION-SUPPORT SYSTEM; BOUND PROCEDURE; MULTIPLE RESOURCE; GENETIC ALGORITHM; GENERAL-CLASS;
Keywords:
deterministic project scheduling; NPV maximization; makespan minimization; model-data-algorithm integration; decision support systems; commercial project management systems;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
--discip_BC--
Citazioni:
256
Recensione:
Indirizzi per estratti:
Indirizzo: Padman, R Carnegie Mellon Univ, H John Heinz III Sch Publ Policy & Management, Pittsburgh, PA 15213 USA Carnegie Mellon Univ Pittsburgh PA USA 15213urgh, PA 15213 USA
Citazione:
R. Kolisch e R. Padman, "An integrated survey of deterministic project scheduling", OMEGA-INT J, 29(3), 2001, pp. 249-272

Abstract

There have been many survey papers in the area of project scheduling in recent years. These papers have primarily emphasized modeling and algorithmiccontributions for specific classes of project scheduling problems, such asnet present value (NPV) maximization and makespan minimization, with and without resource constraints. Paralleling these developments has been the research in the area of project scheduling decision support, with its emphasis on data sets, data generation methods, and so on, that are essential to benchmark, evaluate, and compare the new models, algorithms and heuristic techniques. These investigations have extended the frontiers of research and application in all areas of project scheduling and management. In this paper, we survey the vast literature in this area with a perspective that integrates models, data, and optimal and heuristic algorithms, for the major classes of project scheduling problems. We also include recent surveys that have compared commercial project scheduling systems. Finally, we present an overview of web-based decision support systems and discuss the potential of this technology in enabling and facilitating researchers and practitioners in identifying new areas of inquiry and application. (C) 2001 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 31/03/20 alle ore 09:41:37