IDEAS home Printed from https://ideas.repec.org/a/vrs/founma/v6y2014i3p7-24n1.html
   My bibliography  Save this article

Declarative Modeling for Production Order Portfolio Scheduling

Author

Listed:
  • Banaszak Zbigniew

    (Warsaw University of Technology, Faculty of Management, Warsaw, Poland)

  • Bocewicz Grzegorz

    (Koszalin University of Technology, Dept. of Computer Science and Management, Poland)

Abstract

A declarative framework enabling to determine conditions as well as to develop decision-making software supporting small- and medium-sized enterprises aimed at unique, multi-project-like and mass customized oriented production is discussed. A set of unique production orders grouped into portfolio orders is considered. Operations executed along different production orders share available resources following a mutual exclusion protocol. A unique product or production batch is completed while following a given activity’s network order. The problem concerns scheduling a newly inserted project portfolio subject to constraints imposed by a multi-project environment The answers sought are: Can a given project portfolio specified by its cost and completion time be completed within the assumed time period in a manufacturing system in hand? Which manufacturing system capability guarantees the completion of a given project portfolio ordered under assumed cost and time constraints? The considered problems regard finding a computationally effective approach aimed at simultaneous routing and allocation as well as batching and scheduling of a newly ordered project portfolio subject to constraints imposed by a multi-project environment. The main objective is to provide a declarative model enabling to state a constraint satisfaction problem aimed at multi-project-like and mass customized oriented production scheduling. Multiple illustrative examples are discussed.

Suggested Citation

  • Banaszak Zbigniew & Bocewicz Grzegorz, 2014. "Declarative Modeling for Production Order Portfolio Scheduling," Foundations of Management, Sciendo, vol. 6(3), pages 7-24, December.
  • Handle: RePEc:vrs:founma:v:6:y:2014:i:3:p:7-24:n:1
    DOI: 10.1515/fman-2015-0014
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/fman-2015-0014
    Download Restriction: no

    File URL: https://libkey.io/10.1515/fman-2015-0014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Khayat, Ghada El & Langevin, Andre & Riopel, Diane, 2006. "Integrated production and material handling scheduling using mathematical programming and constraint programming," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1818-1832, December.
    2. Zbigniew A. Banaszak, 2006. "CP-Based Decision Support for Project Driven Manufacturing," International Series in Operations Research & Management Science, in: Joanna Józefowska & Jan Weglarz (ed.), Perspectives in Modern Project Scheduling, chapter 0, pages 409-437, Springer.
    Full references (including those not matched with items on IDEAS)

    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. Bocewicz Grzegorz & Banaszak Zbigniew, 2009. "Abductive Reasoning Driven Approach to Project - Like Production Flow Prototyping," Foundations of Management, Sciendo, vol. 1(1), pages 43-62, January.
    2. Chen, Lu & Langevin, André & Lu, Zhiqiang, 2013. "Integrated scheduling of crane handling and truck transportation in a maritime container terminal," European Journal of Operational Research, Elsevier, vol. 225(1), pages 142-152.
    3. Torres, Isidro Ramos & Romero Dessens, Luis Felipe & Martínez Flores, José Luis & Olivares Benítez, Elías, 2015. "Review of Comprehensive Approaches in Optimizing AGV Systems," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights. Proceedings of the Hamburg , volume 22, pages 203-232, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Banaszak, Z.A. & Zaremba, M.B. & Muszynski, W., 2009. "Constraint programming for project-driven manufacturing," International Journal of Production Economics, Elsevier, vol. 120(2), pages 463-475, August.
    5. Reinhard Bürgy & Heinz Gröflin, 2016. "The blocking job shop with rail-bound transportation," Journal of Combinatorial Optimization, Springer, vol. 31(1), pages 152-181, January.
    6. Dalila B. M. M. Fontes & Seyed Mahdi Homayouni, 2019. "Joint production and transportation scheduling in flexible manufacturing systems," Journal of Global Optimization, Springer, vol. 74(4), pages 879-908, August.
    7. Zhang, Yingfeng & Zhang, Geng & Du, Wei & Wang, Junqiang & Ali, Ebad & Sun, Shudong, 2015. "An optimization method for shopfloor material handling based on real-time and multi-source manufacturing data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 282-292.
    8. K. C. Bhosale & P. J. Pawar, 2019. "Material flow optimisation of production planning and scheduling problem in flexible manufacturing system by real coded genetic algorithm (RCGA)," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 381-423, June.
    9. Olatunde T. Baruwa & Miquel A. Piera, 2016. "A coloured Petri net-based hybrid heuristic search approach to simultaneous scheduling of machines and automated guided vehicles," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4773-4792, August.
    10. Fontes, Dalila B.M.M. & Homayouni, S. Mahdi & Gonçalves, José F., 2023. "A hybrid particle swarm optimization and simulated annealing algorithm for the job shop scheduling problem with transport resources," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1140-1157.

    More about this item

    Statistics

    Access and download statistics

    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:vrs:founma:v:6:y:2014:i:3:p:7-24:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.