A two-stage stochastic programming project scheduling approach to production planning

Alfieri, Arianna; Tolio, Tullio; Urgo, Marcello

doi:10.1007/s00170-011-3794-4

Cited by 60 publications

(38 citation statements)

References 30 publications

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“…Some authors have conducted hypothetical problem-solving research (Markus et al, 2003;Sawik, 2009;Monostori et al, 2010;Tolio and Urgo, 2007;Tunali et al, 2011), and only two papers applied the model to a real industrial environment (Alfieri et al, 2011(Alfieri et al, , 2012. This lack of real-world cases corroborates the academic literature (e.g., Ramezanian et al, 2012) and…”

Section: Application Approachmentioning

confidence: 63%

“…Moreover, project-oriented production planning approaches, such as RCPS, have addressed aggregate levels of production planning in MTO and ETO contexts (Tolio and Urgo, 2007;Alfieri et al, 2011Alfieri et al, , 2012Radke et al, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Project-oriented planning approaches (e.g., resource constrained project scheduling -RCPS) serve as planning tools at aggregate levels in MTO or ETO systems (Tolio and Urgo, 2007;Alfieri et al, 2011Alfieri et al, , 2012Radke et al, 2013) and have been frequently addressed in the scientific literature (Neumann and Zimmermann, 2000;Markus et al, 2003;Tolio and Urgo, 2007;Monostori et al, 2010;Alfieri et al, 2012;Rieck et al, 2012;Artigues et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tactical capacity planning in a real-world ETO industry case: An action research

Carvalho

Oliveira

Scavarda

2015

International Journal of Production Economics

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Section: Application Approachmentioning

confidence: 63%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tactical capacity planning in a real-world ETO industry case: An action research

Carvalho

Oliveira

Scavarda

2015

International Journal of Production Economics

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“…Minimising the expected value of an objective function provides a significant improvement compared to pure deterministic approaches but nevertheless it fails in comprehensively estimating the quality of the schedule from the stochastic point of view (Alfieri et al, 2012;Tolio and Urgo, 2013;Yin et al, 2014). When we aim at minimizing the expected value of a scheduling objective function, e.g, the maximum lateness, we look at good performance in terms of respecting the due dates on average, but we fail in protecting the schedule against worst cases whose probability is low.…”

Section: Introduction and Problem Statementmentioning

confidence: 99%

A branch-and-bound approach for the single machine maximum lateness stochastic scheduling problem to minimize the value-at-risk

Urgo

Váncza

2018

Flex Serv Manuf J

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The research in the field of robust scheduling aims at devising schedules which are not sensitive -to a certain extent -to the disruptive effects of unexpected events. Nevertheless, the protection of the schedule from rare events causing heavy losses is still a challenging aim. The paper presents a novel approach for protecting the quality of a schedule by assessing the risk associated to the different scheduling decisions. The approach is applied to a stochastic scheduling problem with a set of jobs to be sequenced on a single machine. The release dates and processing times of the jobs are generally distributed independent random variables, while the due dates are deterministic. A branch-and-bound approach is taken to minimise the value-at-risk (VaR) of the distribution of the maximum lateness. The viability of the approach is demonstrated through a computational experiment and the application to an industrial problem in the tool making industry.

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“…The use of a project scheduling approach for aggregate production planning in MTO systems has been described by Neumann and Schwindt (1998), Hans (2001), , Márkus et al (2003), Alfieri et al (2011Alfieri et al ( , 2012a). Working at an aggregate level, the planner can devise a production plan, constrained by the capacity requirements, over a time horizon ranging from several weeks to several months.…”

Section: Project Scheduling Approaches For Mtomentioning

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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A two-stage stochastic programming project scheduling approach to production planning

Cited by 60 publications

References 30 publications

Tactical capacity planning in a real-world ETO industry case: An action research

Tactical capacity planning in a real-world ETO industry case: An action research

A branch-and-bound approach for the single machine maximum lateness stochastic scheduling problem to minimize the value-at-risk

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

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