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Flexible flow line scheduling considering machine eligibility in a digital dental laboratory

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  • Siavash Valizadeh
  • Omid Fatahi Valilai
  • Mahmoud Houshmand

Abstract

Introduction of digital solutions has made dentistry more efficient and effective in response to patients’ demands. Moreover, digital solution helps participants to manage daily workflow simpler than traditional practices. Scanners, CAD/CAM software, CNC machines and 3D printers are components of digital solutions in current dentistry. Responding to patients as quickly as possible is essential in medical fields and dentistry has similar situations. On the other hand, demands in dentistry are highly customized that it makes managing orders more difficult because each order needs special design and production. Thus, this paper assesses orders in digital dentistry and develops a mathematical model to optimize production planning and scheduling of orders by considering different objectives and requirements that are common in dentistry. In addition, a metaheuristics algorithm was developed based on PSO to respond to NP-hard challenges of the model. The developed algorithm includes two steps that PSO metaheuristics consider in the second step to search new solutions. Finally, through case studies, performance of the developed model and proposed algorithm was investigated. Developed algorithm generates solutions with proper quality considering makespan and total completion time objectives and required time to obtain a solution with high quality depends on problem data and can increase.

Suggested Citation

  • Siavash Valizadeh & Omid Fatahi Valilai & Mahmoud Houshmand, 2020. "Flexible flow line scheduling considering machine eligibility in a digital dental laboratory," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6513-6531, November.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:21:p:6513-6531
    DOI: 10.1080/00207543.2019.1683247
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    Cited by:

    1. Anupama Prashar, 2023. "Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2513-2528, August.
    2. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).

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