IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v196y2018icp261-268.html
   My bibliography  Save this article

Prioritizing process improvement initiatives in manufacturing environments

Author

Listed:
  • Aqlan, Faisal
  • Al-Fandi, Lawrence

Abstract

In today's competitive and globalized markets, companies need to focus on eliminating wastes in their processes and implement continuous improvement initiatives. Lean and Six Sigma are two process improvement philosophies that have been successfully applied by many organizations to improve their business processes. Selecting and prioritizing process improvement initiatives in the workplace can be a challenging task, especially when multiple decision factors are involved. In this study, a proposed framework for prioritizing process improvement initiatives in manufacturing environments is developed which considers process variables, resource constraints, and operator skills. The framework ranks workplace areas and uses a multi-objective optimization model to assign improvement projects and associated operators. A case study from a manufacturing environment is used to illustrate the applicability of the proposed framework.

Suggested Citation

  • Aqlan, Faisal & Al-Fandi, Lawrence, 2018. "Prioritizing process improvement initiatives in manufacturing environments," International Journal of Production Economics, Elsevier, vol. 196(C), pages 261-268.
    • Handle: RePEc:eee:proeco:v:196:y:2018:i:c:p:261-268
    DOI: 10.1016/j.ijpe.2017.12.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527317304103
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2017.12.004?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. Aqlan, Faisal & Lam, Sarah S. & Ramakrishnan, Sreekanth, 2014. "An integrated simulation–optimization study for consolidating production lines in a configure-to-order production environment," International Journal of Production Economics, Elsevier, vol. 148(C), pages 51-61.
    2. Jiunn-Chenn Lu & Taho Yang, 2015. "Implementing lean standard work to solve a low work-in-process buffer problem in a highly automated manufacturing environment," International Journal of Production Research, Taylor & Francis Journals, vol. 53(8), pages 2285-2305, April.
    3. Kalashnikov, Vyacheslav & Benita, Francisco & López-Ramos, Francisco & Hernández-Luna, Alberto, 2017. "Bi-objective project portfolio selection in Lean Six Sigma," International Journal of Production Economics, Elsevier, vol. 186(C), pages 81-88.
    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. Costa, Luana Bonome Message & Godinho Filho, Moacir & Fredendall, Lawrence D. & Devós Ganga, Gilberto Miller, 2021. "Lean six sigma in the food industry: Construct development and measurement validation," International Journal of Production Economics, Elsevier, vol. 231(C).
    2. Robert Bucki & Petr Suchánek, 2019. "Comparative Simulation Analysis of the Performance of the Logistics Manufacturing System at the Operative Level," Complexity, Hindawi, vol. 2019, pages 1-36, May.
    3. Artan Veseli & Agron Bajraktari & Anka Trajkovska Petkoska, 2024. "The Implementation of Lean Manufacturing on Zero Waste Technologies in the Food Processing Industry: Insights from Food Processing Companies in Kosovo and North Macedonia," Sustainability, MDPI, vol. 16(14), pages 1-21, July.
    4. Li, Bo & Tan, Zhen & Arreola-Risa, Antonio & Huang, Yiwei, 2023. "On the improvement of uncertain cloud service capacity," International Journal of Production Economics, Elsevier, vol. 258(C).
    5. Mircea Fulea & Bogdan Mocan & Mihai Dragomir & Mircea Murar, 2023. "On Increasing Service Organizations’ Agility: An Artifact-Based Framework to Elicit Improvement Initiatives," Sustainability, MDPI, vol. 15(13), pages 1-25, June.

    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. Masoud Rahiminezhad Galankashi & Farimah Mokhatab Rafiei & Maryam Ghezelbash, 2020. "Portfolio selection: a fuzzy-ANP approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-34, December.
    2. Sunder M, Vijaya & Ganesh, L.S., 2021. "Lean additives in a service factory: A design science approach," Technovation, Elsevier, vol. 104(C).
    3. Martina BOBALOVA & Veronika NOVOTNA, 2021. "Modeling Of Time Delayed Processes In Business Economics," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 79-89, November.
    4. Emil Ratter & Stanislaw Nader, 2022. "The Use of Lean Management Tools in Production Companies with Implemented Total Quality Management (TQM)," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 357-368.
    5. José Carlos Sá & Manuel Reis & José Dinis-Carvalho & Francisco J. G. Silva & Gilberto Santos & Luis P. Ferreira & Vanda Lima, 2022. "The Development of an Excellence Model Integrating the Shingo Model and Sustainability," Sustainability, MDPI, vol. 14(15), pages 1-28, August.
    6. Shishvan, Masoud Soleymani & Benndorf, Jörg, 2019. "Simulation-based optimization approach for material dispatching in continuous mining systems," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1108-1125.
    7. Ran Etgar & Yuval Cohen, 2022. "Roadmap Optimization: Multi-Annual Project Portfolio Selection Method," Mathematics, MDPI, vol. 10(9), pages 1-23, 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:proeco:v:196:y:2018:i:c:p:261-268. 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/locate/ijpe .

    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.