IDEAS home Printed from https://ideas.repec.org/a/spr/comgts/v14y2017i2d10.1007_s10287-017-0276-7.html
   My bibliography  Save this article

A developed slope order index (SOI) for bottlenecks in projects and production lines

Author

Listed:
  • Mehdi Rajabi Asadabadi

    (The University of New South Wales)

Abstract

This paper finds a sequence of m jobs on one processor with the minimum total cost as a solution to the sequencing problem where the raw materials are either expensive to buy or carry. There have been numerous studies considering m jobs on one processor which consider various cost factors such as the total penalty cost. One of the important, but less investigated cost factors, in the previous studies, is the inventory carrying and its relevant capital costs. The inventory costs such as the holding cost and capital cost must be considered in proposing a solution to the sequencing problem. In this paper, by taking those costs into account to address the sequencing problem, a developed slope order index is computed to enable decision makers to a sufficient cost saving sequence of m jobs on one processor. This paper contributes the current knowledge by proposing a new sequencing solution in which some previously less observed costs are considered. The result of this paper can also be employed in scheduling of m jobs where there is a bottleneck and the inventories are expensive or their holding costs are considerable.

Suggested Citation

  • Mehdi Rajabi Asadabadi, 2017. "A developed slope order index (SOI) for bottlenecks in projects and production lines," Computational Management Science, Springer, vol. 14(2), pages 281-291, April.
  • Handle: RePEc:spr:comgts:v:14:y:2017:i:2:d:10.1007_s10287-017-0276-7
    DOI: 10.1007/s10287-017-0276-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10287-017-0276-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10287-017-0276-7?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
    ---><---

    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. Bilge Bilgen & Yelda Çelebi, 2013. "Integrated production scheduling and distribution planning in dairy supply chain by hybrid modelling," Annals of Operations Research, Springer, vol. 211(1), pages 55-82, December.
    2. Vaughan, Timothy S., 2007. "Cyclical schedules vs. dynamic sequencing: Replenishment dynamics and inventory efficiency," International Journal of Production Economics, Elsevier, vol. 107(2), pages 518-527, June.
    3. Herbert G. Campbell & Richard A. Dudek & Milton L. Smith, 1970. "A Heuristic Algorithm for the n Job, m Machine Sequencing Problem," Management Science, INFORMS, vol. 16(10), pages 630-637, June.
    4. Salah E. Elmaghraby, 1978. "The Economic Lot Scheduling Problem (ELSP): Review and Extensions," Management Science, INFORMS, vol. 24(6), pages 587-598, February.
    5. Robert McNaughton, 1959. "Scheduling with Deadlines and Loss Functions," Management Science, INFORMS, vol. 6(1), pages 1-12, October.
    6. Susan Heath & Jonathan Bard & Douglas Morrice, 2013. "A GRASP for simultaneously assigning and sequencing product families on flexible assembly lines," Annals of Operations Research, Springer, vol. 203(1), pages 295-323, March.
    7. B Mor & G Mosheiov, 2014. "Polynomial time solutions for scheduling problems on a proportionate flowshop with two competing agents," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(1), pages 151-157, January.
    8. Research and Statistics Department, 2016. "Planned Revisions of the Tankan," Bank of Japan Research Papers 16-12-27, Bank of Japan.
    9. Liji Shen & Lars Mönch & Udo Buscher, 2013. "An iterative approach for the serial batching problem with parallel machines and job families," Annals of Operations Research, Springer, vol. 206(1), pages 425-448, July.
    10. W. L. Eastman & S. Even & I. M. Isaacs, 1964. "Bounds for the Optimal Scheduling of n Jobs on m Processors," Management Science, INFORMS, vol. 11(2), pages 268-279, November.
    11. Donatas Elvikis & Vincent T’kindt, 2014. "Two-agent scheduling on uniform parallel machines with min-max criteria," Annals of Operations Research, Springer, vol. 213(1), pages 79-94, February.
    12. Öncü Hazır & Safia Kedad-Sidhoum, 2014. "Batch sizing and just-in-time scheduling with common due date," Annals of Operations Research, Springer, vol. 213(1), pages 187-202, February.
    13. William Gapp & P. S. Mankekar & L. G. Mitten, 1965. "Sequencing Operations to Minimize In-Process Inventory Costs," Management Science, INFORMS, vol. 11(3), pages 476-484, January.
    14. Adnan M. S. Fakir, 2016. "Revisiting the child health-wealth nexus," Health Economics Review, Springer, vol. 6(1), pages 1-13, December.
    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. Asadabadi, Mehdi Rajabi, 2017. "A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1049-1062.

    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. Shesh Narayan Sahu & Yuvraj Gajpal & Swapan Debbarma, 2018. "Two-agent-based single-machine scheduling with switchover time to minimize total weighted completion time and makespan objectives," Annals of Operations Research, Springer, vol. 269(1), pages 623-640, October.
    2. Tzafestas, Spyros & Triantafyllakis, Alekos, 1993. "Deterministic scheduling in computing and manufacturing systems: a survey of models and algorithms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 35(5), pages 397-434.
    3. Briskorn, Dirk & Zeise, Philipp & Packowski, Josef, 2016. "Quasi-fixed cyclic production schemes for multiple products with stochastic demand," European Journal of Operational Research, Elsevier, vol. 252(1), pages 156-169.
    4. Liu Guiqing & Li Kai & Cheng Bayi, 2015. "Preemptive Scheduling with Controllable Processing Times on Parallel Machines," Journal of Systems Science and Information, De Gruyter, vol. 3(1), pages 68-76, February.
    5. Zhang, Zhe & Song, Xiaoling & Gong, Xue & Yin, Yong & Lev, Benjamin & Zhou, Xiaoyang, 2024. "Coordinated seru scheduling and distribution operation problems with DeJong’s learning effects," European Journal of Operational Research, Elsevier, vol. 313(2), pages 452-464.
    6. Sündüz Dağ, 2013. "An Application On Flowshop Scheduling," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 1(1), pages 47-56, December.
    7. Jin Qian & Haiyan Han, 2022. "Improved algorithms for proportionate flow shop scheduling with due-window assignment," Annals of Operations Research, Springer, vol. 309(1), pages 249-258, February.
    8. Ramesh Bollapragada & Uday Rao, 1999. "Single-Stage Resource Allocation and Economic Lot Scheduling on Multiple, Nonidentical Production Lines," Management Science, INFORMS, vol. 45(6), pages 889-904, June.
    9. Solimanpur, M. & Vrat, Prem & Shankar, Ravi, 2004. "A heuristic to minimize makespan of cell scheduling problem," International Journal of Production Economics, Elsevier, vol. 88(3), pages 231-241, April.
    10. Barry B. & Quim Castellà & Angel A. & Helena Ramalhinho Lourenco & Manuel Mateo, 2012. "ILS-ESP: An Efficient, Simple, and Parameter-Free Algorithm for Solving the Permutation Flow-Shop Problem," Working Papers 636, Barcelona School of Economics.
    11. Gupta, Jatinder N.D. & Koulamas, Christos & Kyparisis, George J., 2006. "Performance guarantees for flowshop heuristics to minimize makespan," European Journal of Operational Research, Elsevier, vol. 169(3), pages 865-872, March.
    12. Beck, Fabian G. & Biel, Konstantin & Glock, Christoph H., 2019. "Integration of energy aspects into the economic lot scheduling problem," International Journal of Production Economics, Elsevier, vol. 209(C), pages 399-410.
    13. Hoogeveen, J. A. & Lenstra, J. K. & Veltman, B., 1996. "Preemptive scheduling in a two-stage multiprocessor flow shop is NP-hard," European Journal of Operational Research, Elsevier, vol. 89(1), pages 172-175, February.
    14. Yung-Chia Chang & Kuei-Hu Chang & Ching-Ping Zheng, 2022. "Application of a Non-Dominated Sorting Genetic Algorithm to Solve a Bi-Objective Scheduling Problem Regarding Printed Circuit Boards," Mathematics, MDPI, vol. 10(13), pages 1-21, July.
    15. Yunqiang Yin & Doudou Li & Dujuan Wang & T. C. E. Cheng, 2021. "Single-machine serial-batch delivery scheduling with two competing agents and due date assignment," Annals of Operations Research, Springer, vol. 298(1), pages 497-523, March.
    16. Balireddi, Sindhura & Uhan, Nelson A., 2012. "Cost-sharing mechanisms for scheduling under general demand settings," European Journal of Operational Research, Elsevier, vol. 217(2), pages 270-277.
    17. Tseng, Lin-Yu & Lin, Ya-Tai, 2009. "A hybrid genetic local search algorithm for the permutation flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 198(1), pages 84-92, October.
    18. Scholl, Armin & Becker, Christian, 2006. "State-of-the-art exact and heuristic solution procedures for simple assembly line balancing," European Journal of Operational Research, Elsevier, vol. 168(3), pages 666-693, February.
    19. Kramer, Arthur & Dell’Amico, Mauro & Iori, Manuel, 2019. "Enhanced arc-flow formulations to minimize weighted completion time on identical parallel machines," European Journal of Operational Research, Elsevier, vol. 275(1), pages 67-79.
    20. Nicholas G. Hall, 1988. "A multi‐item EOQ model with inventory cycle balancing," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(3), pages 319-325, June.

    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:spr:comgts:v:14:y:2017:i:2:d:10.1007_s10287-017-0276-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.