A heuristic for network project scheduling with random activity durations depending on the resource allocation

Golenko‐Ginzburg, Dimitri; Gonik, Aharon

doi:10.1016/s0925-5273(98)00044-9

Cited by 64 publications

(37 citation statements)

References 12 publications

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“…The same authors (Golenko-Ginzburg et al 1998) extended the case by considering random durations dependent on the resource allocation. Their purpose was to find both the activities starting times and the optimal allocation of resources in order to minimize expected project duration.…”

Section: Literature Reviewmentioning

confidence: 99%

Robust Optimization for the Discrete Time-Cost Tradeoff Problem with Cost Uncertainty

Hazır

Haouari

Erel

2014

Handbook on Project Management and Scheduling Vol. 2

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This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher's location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) PrefaceThis handbook is devoted to scientific approaches to the management and scheduling of projects. Due to their practical relevance, project management and scheduling have been important subjects of inquiry since the early days of Management Science and Operations Research and remain an active and vibrant field of study. The handbook is meant to provide an overview of some of the most active current areas of research. Each chapter has been written by well-recognized scholars, who have made original contributions to their topic. The handbook covers both theoretical concepts and a wide range of applications. For our general readers, we give a brief introduction to elements of project management and scheduling in the first chapter, where we also survey the contents of this book. We believe that the handbook will be a valuable and comprehensive reference to researchers and practitioners in project management and scheduling and hope that it might stimulate further research in this exciting and practically important field.Short-listing and selecting the contributions to this handbook and working with more than one hundred authors have been a challenging and rewarding experience for us. We are grateful to Günter Sch...

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Section: Literature Reviewmentioning

confidence: 99%

Robust Optimization for the Discrete Time-Cost Tradeoff Problem with Cost Uncertainty

Hazır

Haouari

Erel

2014

Handbook on Project Management and Scheduling Vol. 2

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“… stochastic or deterministic environment that forces the network to be CPM (Hazır et al, 2010a), PERT (Abbasi and Mukattash, 2001;Foldes and Soumis, 1993;Mokhtari et al, 2010) or GERT (Arisawa and Elmaghraby, 1972);…”

Section: Introductionmentioning

confidence: 99%

“… cost function behavior which may be discrete (Bregman, 2009), linear continuous (Mitchell andKlastorin, 2007), nonlinear convex (Peyghami et al, 2013) andlinear-piecewise (Vrat andKriengkrairut, 1986);  controllable variable in cost function may be in the modes of activities with allocated budget (Abbasi and Mukattash, 2001) or resources (Sunde and Lichtenberg, 1995);  response variable in cost function may be activity costs (Sunde and Lichtenberg, 1995) or its' durations (Godinho and Costa, 2007);…”

Section: Introductionmentioning

confidence: 99%

“… type of distribution function of cost and duration may be Beta (Abbasi and Mukattash, 2001), Normal (Golenko-Ginzburg and Gonik, 1998) or Exponential and Erlang (Azaron and Tavakkoli-Moghaddam, 2006;  objective function can be maximizing project completion probability in a predefined deadline with limited budget (Abbasi and Mukattash, 2001), minimizing direct cost to obtain a pre-defined threshold of mean completion time (Foldes and Soumis, 1993), minimizing direct cost to reach a predefined threshold of project completion probability in a deadline (Mokhtari et al, 2010), minimizing the total cost, including direct and indirect approaches (Gutjahr et al, 2000), minimizing mean of project completion time and minimizing variance of completion time and cost (Azaron and Tavakkoli-Moghaddam, 2006)  the solution approaches containing exact approaches (Arisawa and Elmaghraby, 1972;Azaron and TavakkoliMoghaddam, 2006;Gutjahr et al, 2000), Heuristic approaches (Bregman, 2009;Foldes and Soumis, 1993) and meta-heuristic approaches (Aghaie and Mokhtari, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…quality, is completely missed. Babu and Suresh (1996) introduced that the quality of the project may be affected by project crashing and developed a linear programming model to study the time-cost-quality trade-off (TCQTP). Khang and Myint (1999) applied the same method on an actual cement factory construction project in Thailand.…”

Section: Introductionmentioning

confidence: 99%

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A Scenario Based Stochastic Time-Cost-Quality Trade-Off model for Project Scheduling Problem

Golpîra

2014

IJMSBA

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This paper formulates a new time-cost trade-off problem under some uncertainties for a multi-phase project. To do this, a new approach is proposed based on goal programming in compliance with scenario-based stochastic optimization formulation. To the best of our knowledge, this problem has not been extensively treated in the literature. Computational results show the applicability and usefulness of the proposed method.

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Perspectives in Modern Project Scheduling

Józefowska¹,

Węglarz²

2006

International Series in Operations Research &Amp; Management Science

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A heuristic for network project scheduling with random activity durations depending on the resource allocation

Cited by 64 publications

References 12 publications

Robust Optimization for the Discrete Time-Cost Tradeoff Problem with Cost Uncertainty

Robust Optimization for the Discrete Time-Cost Tradeoff Problem with Cost Uncertainty

A Scenario Based Stochastic Time-Cost-Quality Trade-Off model for Project Scheduling Problem

Perspectives in Modern Project Scheduling

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