IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v32y2021i2d10.1007_s10845-020-01593-y.html
   My bibliography  Save this article

Concurrent optimization of process parameters and product design variables for near net shape manufacturing processes

Author

Listed:
  • Daniele Marini

    (University of Strathclyde)

  • Jonathan R. Corney

    (University of Strathclyde)

Abstract

This paper presents a new systematic approach to the optimization of both design and manufacturing variables across a multi-step production process. The approach assumes a generic manufacturing process in which an initial near net shape (NNS) process is followed by a limited number of finishing operations. In this context the optimisation problem becomes a multi-variable problem in which the aim is to optimize by minimizing cost (or time) and improving technological performances (e.g. turning force). To enable such computation a methodology, named conditional design optimization (CoDeO) is proposed which allows the modelling and simultaneous optimization of process parameters and product design (geometric variables), using single or multi-criteria optimization strategies. After investigation of CoDeO’s requirements, evolutionary algorithms, in particular Genetic Algorithms, are identified as the most suitable for overall NNS manufacturing chain optimization The CoDeO methodology is tested using an industrial case study that details a process chain composed of casting and machining processes. For the specific case study presented the optimized process resulted in cost savings of 22% (corresponding to equivalent machining time savings) and a 10% component weight reduction.

Suggested Citation

  • Daniele Marini & Jonathan R. Corney, 2021. "Concurrent optimization of process parameters and product design variables for near net shape manufacturing processes," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 611-631, February.
  • Handle: RePEc:spr:joinma:v:32:y:2021:i:2:d:10.1007_s10845-020-01593-y
    DOI: 10.1007/s10845-020-01593-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-020-01593-y
    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/s10845-020-01593-y?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. Zhonglei Liu & Xuekun Li & Dingzhu Wu & Zhiqiang Qian & Pingfa Feng & Yiming Rong, 2019. "The development of a hybrid firefly algorithm for multi-pass grinding process optimization," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2457-2472, August.
    2. R. Venkata Rao & Dhiraj P. Rai & J. Balic, 2019. "Multi-objective optimization of abrasive waterjet machining process using Jaya algorithm and PROMETHEE Method," Journal of Intelligent Manufacturing, Springer, vol. 30(5), pages 2101-2127, June.
    3. Hao Liu & Yue Wang & Liangping Tu & Guiyan Ding & Yuhan Hu, 2019. "A modified particle swarm optimization for large-scale numerical optimizations and engineering design problems," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2407-2433, August.
    4. Albert Y. Ha & Evan L. Porteus, 1995. "Optimal Timing of Reviews in Concurrent Design for Manufacturability," Management Science, INFORMS, vol. 41(9), pages 1431-1447, September.
    5. Minghai Yuan & Hongyan Yu & Jinting Huang & Aimin Ji, 2019. "Reconfigurable assembly line balancing for cloud manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2391-2405, August.
    6. Emel Kızılkaya Aydoğan & Yılmaz Delice & Uğur Özcan & Cevriye Gencer & Özkan Bali, 2019. "Balancing stochastic U-lines using particle swarm optimization," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 97-111, January.
    7. Ullah Saif & Zailin Guan & Li Zhang & Fei Zhang & Baoxi Wang & Jahanzaib Mirza, 2019. "Multi-objective artificial bee colony algorithm for order oriented simultaneous sequencing and balancing of multi-mixed model assembly line," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1195-1220, March.
    8. Nurezayana Zainal & Azlan Mohd Zain & Nor Haizan Mohamed Radzi & Muhamad Razib Othman, 2016. "Glowworm swarm optimization (GSO) for optimization of machining parameters," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 797-804, August.
    9. R. Venkata Rao & Dhiraj P. Rai & J. Balic, 2018. "Multi-objective optimization of machining and micro-machining processes using non-dominated sorting teaching–learning-based optimization algorithm," Journal of Intelligent Manufacturing, Springer, vol. 29(8), pages 1715-1737, 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. Mohd Bilal Naim Shaikh & Mohammed Ali & Umer Masood Chaudry & Muhammad Kashif Khan, 2024. "Metrics for Sustainability and Circular Economy Practices in Context to Modern Manufacturing Environment," Circular Economy and Sustainability, Springer, vol. 4(3), pages 2073-2091, September.

    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. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    2. Raghav Prasad Parouha & Pooja Verma, 2022. "An innovative hybrid algorithm for bound-unconstrained optimization problems and applications," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1273-1336, June.
    3. Elango Natarajan & Varadaraju Kaviarasan & Wei Hong Lim & Sew Sun Tiang & S. Parasuraman & Sangeetha Elango, 2020. "Non-dominated sorting modified teaching–learning-based optimization for multi-objective machining of polytetrafluoroethylene (PTFE)," Journal of Intelligent Manufacturing, Springer, vol. 31(4), pages 911-935, April.
    4. Christian Terwiesch & Christoph H. Loch, 1999. "Measuring the Effectiveness of Overlapping Development Activities," Management Science, INFORMS, vol. 45(4), pages 455-465, April.
    5. Xiaobao Zhu & Jing Shi & Fengjie Xie & Rouqi Song, 2020. "Pricing strategy and system performance in a cloud-based manufacturing system built on blockchain technology," Journal of Intelligent Manufacturing, Springer, vol. 31(8), pages 1985-2002, December.
    6. Diefenbach, Johannes & Stolletz, Raik, 2022. "Stochastic assembly line balancing: General bounds and reliability-based branch-and-bound algorithm," European Journal of Operational Research, Elsevier, vol. 302(2), pages 589-605.
    7. Atif Açıkgöz & Irem Demirkan & Gary P. Latham & Cemil Kuzey, 2021. "The Relationship Between Unlearning and Innovation Ambidexterity with the Performance of New Product Development Teams," Group Decision and Negotiation, Springer, vol. 30(4), pages 945-982, August.
    8. Gülru F. Özkan-Seely & Cheryl Gaimon & Stylianos Kavadias, 2015. "Dynamic Knowledge Transfer and Knowledge Development for Product and Process Design Teams," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 177-190, May.
    9. Nitindra R. Joglekar & Ali A. Yassine & Steven D. Eppinger & Daniel E. Whitney, 2001. "Performance of Coupled Product Development Activities with a Deadline," Management Science, INFORMS, vol. 47(12), pages 1605-1620, December.
    10. Jeremy Hutchison-Krupat, 2018. "Communication, Incentives, and the Execution of a Strategic Initiative," Management Science, INFORMS, vol. 64(7), pages 3380-3399, July.
    11. Chakravarty, Amiya K., 2001. "Overlapping design and build cycles in product development," European Journal of Operational Research, Elsevier, vol. 134(2), pages 392-424, October.
    12. Sosa, Manuel E., 2003. "Factors that influence technical communication in distributed product development : an empirical study in the telecommunications industry," Working papers WP 4123-00., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    13. Pauline Ong & Chon Haow Chong & Mohammad Zulafif Rahim & Woon Kiow Lee & Chee Kiong Sia & Muhammad Ariff Haikal Ahmad, 2020. "Intelligent approach for process modelling and optimization on electrical discharge machining of polycrystalline diamond," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 227-247, January.
    14. Robson Flavio Castro & Moacir Godinho-Filho & Roberto Fernandes Tavares-Neto, 2022. "Dispatching method based on particle swarm optimization for make-to-availability," Journal of Intelligent Manufacturing, Springer, vol. 33(4), pages 1021-1030, April.
    15. Pankaj Setia & Balaji Rajagopalan & Vallabh Sambamurthy & Roger Calantone, 2012. "How Peripheral Developers Contribute to Open-Source Software Development," Information Systems Research, INFORMS, vol. 23(1), pages 144-163, March.
    16. Alejandro Salado & Hanumanthrao Kannan, 2018. "A mathematical model of verification strategies," Systems Engineering, John Wiley & Sons, vol. 21(6), pages 593-608, November.
    17. Akhilesh Bajaj & Sunder Kekre & Kannan Srinivasan, 2004. "Managing NPD: Cost and Schedule Performance in Design and Manufacturing," Management Science, INFORMS, vol. 50(4), pages 527-536, April.
    18. Nadia Bhuiyan & Donald Gerwin & Vince Thomson, 2004. "Simulation of the New Product Development Process for Performance Improvement," Management Science, INFORMS, vol. 50(12), pages 1690-1703, December.
    19. Anshuman Kumar Sahu & Siba Sankar Mahapatra, 2021. "Prediction and optimization of performance measures in electrical discharge machining using rapid prototyping tool electrodes," Journal of Intelligent Manufacturing, Springer, vol. 32(8), pages 2125-2145, December.
    20. Hashemi-Petroodi, S. Ehsan & Thevenin, Simon & Kovalev, Sergey & Dolgui, Alexandre, 2023. "Markov decision process for multi-manned mixed-model assembly lines with walking workers," International Journal of Production Economics, Elsevier, vol. 255(C).

    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:joinma:v:32:y:2021:i:2:d:10.1007_s10845-020-01593-y. 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.