IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v35y2007i5p563-577.html
   My bibliography  Save this article

A hierarchical approach to multi-project planning under uncertainty

Author

Listed:
  • Hans, E.W.
  • Herroelen, W.
  • Leus, R.
  • Wullink, G.

Abstract

We survey several viewpoints on the management of the planning complexity of multi-project organisations under uncertainty. Based on these viewpoints we propose a positioning framework to distinguish between different types of project-driven organisations. This framework is meant to aid project management in the choice between the various existing planning approaches. We also discuss the current state of the art of hierarchical planning approaches both for traditional manufacturing and for project environments. Next, we introduce a generic hierarchical project planning-and-control framework that serves to position planning methods for multi-project planning under uncertainty. We discuss various techniques for dealing with the uncertainty inherent to the different hierarchical stages in a multi-project organisation. In the last part of this paper we discuss two cases from practice and relate these to the positioning framework that is put forward in the paper.

Suggested Citation

  • Hans, E.W. & Herroelen, W. & Leus, R. & Wullink, G., 2007. "A hierarchical approach to multi-project planning under uncertainty," Omega, Elsevier, vol. 35(5), pages 563-577, October.
    • Handle: RePEc:eee:jomega:v:35:y:2007:i:5:p:563-577
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305-0483(05)00158-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John Dumond & Vincent A. Mabert, 1988. "Evaluating Project Scheduling and Due Date Assignment Procedures: An Experimental Analysis," Management Science, INFORMS, vol. 34(1), pages 101-118, January.
    2. Kolisch, Rainer, 2001. "Make-to-order assembly management," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 14979, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Hartmann, Sonke & Sprecher, Arno, 1996. "A note on "hierarchical models for multi-project planning and scheduling"," European Journal of Operational Research, Elsevier, vol. 94(2), pages 377-383, October.
    4. Paul S. Adler & Avi Mandelbaum & Viên Nguyen & Elizabeth Schwerer, 1995. "From Project to Process Management: An Empirically-Based Framework for Analyzing Product Development Time," Management Science, INFORMS, vol. 41(3), pages 458-484, March.
    5. Lawrence, Stephen R. & Morton, Thomas E., 1993. "Resource-constrained multi-project scheduling with tardy costs: Comparing myopic, bottleneck, and resource pricing heuristics," European Journal of Operational Research, Elsevier, vol. 64(2), pages 168-187, January.
    6. Aaron J. Shenhar, 2001. "One Size Does Not Fit All Projects: Exploring Classical Contingency Domains," Management Science, INFORMS, vol. 47(3), pages 394-414, March.
    7. Yang, Kum-Khiong & Sum, Chee-Chuong, 1997. "An evaluation of due date, resource allocation, project release, and activity scheduling rules in a multiproject environment," European Journal of Operational Research, Elsevier, vol. 103(1), pages 139-154, November.
    8. Speranza, M. Grazia & Vercellis, Carlo, 1993. "Hierarchical models for multi-project planning and scheduling," European Journal of Operational Research, Elsevier, vol. 64(2), pages 312-325, January.
    9. I. Kurtulus & E. W. Davis, 1982. "Multi-Project Scheduling: Categorization of Heuristic Rules Performance," Management Science, INFORMS, vol. 28(2), pages 161-172, February.
    10. Lova, Antonio & Maroto, Concepcion & Tormos, Pilar, 2000. "A multicriteria heuristic method to improve resource allocation in multiproject scheduling," European Journal of Operational Research, Elsevier, vol. 127(2), pages 408-424, December.
    11. Gabriel R. Bitran & Elizabeth A. Haas & Arnoldo C. Hax, 1982. "Hierarchical Production Planning: A Two-Stage System," Operations Research, INFORMS, vol. 30(2), pages 232-251, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kosztyán, Zsolt T. & Katona, Attila I. & Kuppens, Kurt & Kisgyörgy-Pál, Mária & Nachbagauer, Andreas & Csizmadia, Tibor, 2022. "Exploring the structures and design effects of EU-funded R&D&I project portfolios," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    2. Carvalho, Andréa Nunes & Oliveira, Fabricio & Scavarda, Luiz Felipe, 2016. "Tactical capacity planning in a real-world ETO industry case: A robust optimization approach," International Journal of Production Economics, Elsevier, vol. 180(C), pages 158-171.
    3. Yan, Shangyao & Tang, Ching-Hui, 2009. "Inter-city bus scheduling under variable market share and uncertain market demands," Omega, Elsevier, vol. 37(1), pages 178-192, February.
    4. Bordley, Robert F. & Keisler, Jeffrey M. & Logan, Tom M., 2019. "Managing projects with uncertain deadlines," European Journal of Operational Research, Elsevier, vol. 274(1), pages 291-302.
    5. Faraz Salehi & S. Mohammad J. Mirzapour Al-E-Hashem & S. Mohammad Moattar Husseini & S. Hassan Ghodsypour, 2023. "A bi-level multi-follower optimization model for R&D project portfolio: an application to a pharmaceutical holding company," Annals of Operations Research, Springer, vol. 323(1), pages 331-360, April.
    6. Bogumiła Krzeszowska, 2013. "Three step procedure for a multiple criteria problem of project portfolio scheduling," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 23(4), pages 55-74.
    7. E. Demeulemeester & F. Deblaere & J. Herbots & O. Lambrechts & S. Van de Vonder, 2007. "A Multi-level Approach to Project Management under Uncertainty," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 391-409.
    8. Roland Braune & Karl F. Doerner, 2017. "Real-world flexible resource profile scheduling with multiple criteria: learning scalarization functions for MIP and heuristic approaches," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 952-972, August.
    9. Anıl Can & Gündüz Ulusoy, 2014. "Multi-project scheduling with two-stage decomposition," Annals of Operations Research, Springer, vol. 217(1), pages 95-116, June.
    10. Soepenberg, G.D. & Land, M.J. & Gaalman, G.J.C., 2012. "Adapting workload control for job shops with high routing complexity," International Journal of Production Economics, Elsevier, vol. 140(2), pages 681-690.
    11. Carvalho, Andréa Nunes & Oliveira, Fabricio & Scavarda, Luiz Felipe, 2015. "Tactical capacity planning in a real-world ETO industry case: An action research," International Journal of Production Economics, Elsevier, vol. 167(C), pages 187-203.
    12. Brachmann, Robert & Kolisch, Rainer, 2021. "The impact of flexibility on engineer-to-order production planning," International Journal of Production Economics, Elsevier, vol. 239(C).
    13. Wongthatsanekorn, Wuthichai & Realff, Matthew J. & Ammons, Jane C., 2010. "Multi-time scale Markov decision process approach to strategic network growth of reverse supply chains," Omega, Elsevier, vol. 38(1-2), pages 20-32, February.
    14. Beşikci, Umut & Bilge, Ümit & Ulusoy, Gündüz, 2015. "Multi-mode resource constrained multi-project scheduling and resource portfolio problem," European Journal of Operational Research, Elsevier, vol. 240(1), pages 22-31.
    15. Naber, Anulark & Kolisch, Rainer, 2014. "MIP models for resource-constrained project scheduling with flexible resource profiles," European Journal of Operational Research, Elsevier, vol. 239(2), pages 335-348.
    16. Vanhoucke, Mario, 2010. "Using activity sensitivity and network topology information to monitor project time performance," Omega, Elsevier, vol. 38(5), pages 359-370, October.
    17. Zapata, Juan C. & Reklaitis, Gintaras V., 2010. "Valuation of project portfolios: An endogenously discounted method," European Journal of Operational Research, Elsevier, vol. 206(3), pages 653-666, November.
    18. Ching-Torng Lin & Yuan-Shan Yang, 2015. "A Linguistic Approach to Measuring the Attractiveness of New Products in Portfolio Selection," Group Decision and Negotiation, Springer, vol. 24(1), pages 145-169, January.
    19. Wuliang Peng & Jiali lin & Jingwen Zhang & Liangwei Chen, 2022. "A bi-objective hierarchical program scheduling problem and its solution based on NSGA-III," Annals of Operations Research, Springer, vol. 308(1), pages 389-414, January.
    20. He, Naihui & Zhang, David Z. & Yuce, Baris, 2022. "Integrated multi-project planning and scheduling - a multiagent approach," European Journal of Operational Research, Elsevier, vol. 302(2), pages 688-699.
    21. Thomas, Anu & Venkateswaran, Jayendran & Singh, Gaurav & Krishnamoorthy, Mohan, 2014. "A resource constrained scheduling problem with multiple independent producers and a single linking constraint: A coal supply chain example," European Journal of Operational Research, Elsevier, vol. 236(3), pages 946-956.
    22. Gahm, Christian & Dünnwald, Bastian & Sahamie, Ramin, 2014. "A multi-criteria master production scheduling approach for special purpose machinery," International Journal of Production Economics, Elsevier, vol. 149(C), pages 89-101.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bredael, Dries & Vanhoucke, Mario, 2023. "Multi-project scheduling: A benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates," European Journal of Operational Research, Elsevier, vol. 308(1), pages 54-75.
    2. Krüger, Doreen & Scholl, Armin, 2009. "A heuristic solution framework for the resource constrained (multi-)project scheduling problem with sequence-dependent transfer times," European Journal of Operational Research, Elsevier, vol. 197(2), pages 492-508, September.
    3. Rob Eynde & Mario Vanhoucke, 2020. "Resource-constrained multi-project scheduling: benchmark datasets and decoupled scheduling," Journal of Scheduling, Springer, vol. 23(3), pages 301-325, June.
    4. Gómez Sánchez, Mariam & Lalla-Ruiz, Eduardo & Fernández Gil, Alejandro & Castro, Carlos & Voß, Stefan, 2023. "Resource-constrained multi-project scheduling problem: A survey," European Journal of Operational Research, Elsevier, vol. 309(3), pages 958-976.
    5. Gonçalves, J.F. & Mendes, J.J.M. & Resende, M.G.C., 2008. "A genetic algorithm for the resource constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1171-1190, September.
    6. Browning, Tyson R. & Yassine, Ali A., 2010. "Resource-constrained multi-project scheduling: Priority rule performance revisited," International Journal of Production Economics, Elsevier, vol. 126(2), pages 212-228, August.
    7. Anıl Can & Gündüz Ulusoy, 2014. "Multi-project scheduling with two-stage decomposition," Annals of Operations Research, Springer, vol. 217(1), pages 95-116, June.
    8. Yukang He & Tao Jia & Weibo Zheng, 2024. "Simulated annealing for centralised resource-constrained multiproject scheduling to minimise the maximal cash flow gap under different payment patterns," Annals of Operations Research, Springer, vol. 338(1), pages 115-149, July.
    9. Lova, Antonio & Maroto, Concepcion & Tormos, Pilar, 2000. "A multicriteria heuristic method to improve resource allocation in multiproject scheduling," European Journal of Operational Research, Elsevier, vol. 127(2), pages 408-424, December.
    10. Yang, Kum-Khiong & Sum, Chee-Chuong, 1997. "An evaluation of due date, resource allocation, project release, and activity scheduling rules in a multiproject environment," European Journal of Operational Research, Elsevier, vol. 103(1), pages 139-154, November.
    11. Philipp Melchiors & Rainer Kolisch & John J. Kanet, 2024. "The performance of priority rules for the dynamic stochastic resource-constrained multi-project scheduling problem: an experimental investigation," Annals of Operations Research, Springer, vol. 338(1), pages 569-595, July.
    12. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    13. Yaghoubi, Saeed & Noori, Siamak & Azaron, Amir & Fynes, Brian, 2015. "Resource allocation in multi-class dynamic PERT networks with finite capacity," European Journal of Operational Research, Elsevier, vol. 247(3), pages 879-894.
    14. Hartmann, Sönke & Briskorn, Dirk, 2008. "A survey of variants and extensions of the resource-constrained project scheduling problem," Working Paper Series 02/2008, Hamburg School of Business Administration (HSBA).
    15. M. Suresh & Pankaj Dutta & Karuna Jain, 2015. "Resource Constrained Multi-Project Scheduling Problem with Resource Transfer Times," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 32(06), pages 1-30, December.
    16. Yaghoubi, Saeed & Noori, Siamak & Azaron, Amir & Tavakkoli-Moghaddam, Reza, 2011. "Resource allocation in dynamic PERT networks with finite capacity," European Journal of Operational Research, Elsevier, vol. 215(3), pages 670-678, December.
    17. Vo[ss], Stefan & Witt, Andreas, 2007. "Hybrid flow shop scheduling as a multi-mode multi-project scheduling problem with batching requirements: A real-world application," International Journal of Production Economics, Elsevier, vol. 105(2), pages 445-458, February.
    18. Azaron, Amir & Fynes, Brian & Modarres, Mohammad, 2011. "Due date assignment in repetitive projects," International Journal of Production Economics, Elsevier, vol. 129(1), pages 79-85, January.
    19. Izack Cohen & Boaz Golany & Avraham Shtub, 2005. "Managing Stochastic, Finite Capacity, Multi-Project Systems through the Cross-Entropy Methodology," Annals of Operations Research, Springer, vol. 134(1), pages 183-199, February.
    20. Indranil R. Bardhan & Vish V. Krishnan & Shu Lin, 2007. "Project Performance and the Enabling Role of Information Technology: An Exploratory Study on the Role of Alignment," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 579-595, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jomega:v:35:y:2007:i:5:p:563-577. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.