Stability and resource allocation in project planning

Leus, Roel; Herroelen, Willy

doi:10.1080/07408170490447348

Cited by 114 publications

(121 citation statements)

References 35 publications

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“…It is obvious that for a feasible flow , X D C. / is a sufficient set; conversely, if the selection X defines a feasible ES-policy, then a feasible flow exists with E [ C. / Â T .E [ X/. A further discussion of the equivalence between ESpolicies and resource flows can be found in Leus and Herroelen (2004) and Leus (2011a,b).…”

Section: Scheduling Policiesmentioning

confidence: 99%

“…Such networks have recently been proposed by various sources (Artigues and Roubellat 2000;Bowers 1995;Leus and Herroelen 2004;Naegler and Schoenherr 1989;. In this chapter, the word flow usually refers to a resource flow, unless noted otherwise.…”

Section: Scheduling Policiesmentioning

confidence: 99%

“…Also, design involves the activity of personal and collective creativity, and this too adds a subjective complexity to the management of NPD. For all these reasons, NPD is a complex process, and hence difficult to manage (Smulders et al 2003;Leus and Herroelen 2004;Olin and Wickenberg 2001). This chapter applies a systems engineering method to represent this complex situation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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: Scheduling Policiesmentioning

confidence: 99%

Section: Scheduling Policiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Bougeret et al (2016) study robust scheduling with an uncertainty set as proposed by , for minimizing the weighted sum of completion times on a single machine and for minimizing makespan on parallel and unrelated machines. Robustness and stability measures have also been defined for generating robust schedules, both in machine scheduling (Leon et al, 1994;Daniels and Kouvelis, 1995;Goren and Sabuncuoglu, 2009) as well as in project scheduling (Leus and Herroelen, 2004). Robust scheduling has also been studied from an industrial viewpoint, especially in the field of chemical engineering, see for example Lin et al (2004); Janak et al (2007).…”

Section: Literature Reviewmentioning

confidence: 99%

The Robust Machine Availability Problem

2017

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We define and solve the robust machine availability problem in a parallel machine environment, which aims to minimize the number of identical machines required while completing all the jobs before a given deadline. Our formulation preserves a user-defined robustness level regarding possible deviations in the job durations. For better computational performance, a branch-andprice procedure is proposed based on a set covering reformulation. We use zero-suppressed binary decision diagrams (ZDDs) for solving the pricing problem, which enable us to manage the difficulty entailed by the robustness considerations as well as by extra constraints imposed by branching decisions. Computational results are reported that show the effectiveness of a pricing solver with ZDDs compared with a MIP solver.

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“…The resource allocation problem for the RCPSP problem is strongly NP-hard for just one resource type [29]. To model the problem, a resource flow network is used including the edges of the original activity network G(V, E) and the set E R of additional edges.…”

Section: Resource Allocationmentioning

confidence: 99%

Heuristics for project scheduling with discounted cash flows optimisation

Klimek¹,

Łebkowski²

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The article presents the resource-constrained project scheduling problem with the maximisation of discounted cash flows from the contractor's perspective: with cash outflows related to starting individual activities and with cash inflows for completing project stages (milestones). The authors propose algorithms for improving a forward active schedule by iterative one-unit right shifts of activities, taking into account different resource flow networks. To illustrate the algorithms and problem, a numerical example is presented. Finally, the algorithms are tested using standard test problems with additionally defined cash flows and contractual milestones.

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Stability and resource allocation in project planning

Cited by 114 publications

References 35 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

The Robust Machine Availability Problem

Heuristics for project scheduling with discounted cash flows optimisation

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