IDEAS home Printed from https://ideas.repec.org/a/sae/simgam/v54y2023i6p730-759.html

Designing Simulation to Improve Production Efficiency of Batik Industry

Author

Listed:
  • Stefani Prima Dias Kristiana
  • Anna Maria Sri Asih
  • Andi Sudiarso

Abstract

Background The study deals with evaluating the production system for manufacturing batik, then developing a scenario for improving the system. Purpose The study aims to point out the possibilities of computerized simulations in designing , testing, and exploring scenario models of real production plants of Small-Medium enterprises (SMEs). Method The research is carried out as a case study , using a simulation approach to achieve the objectives. This study uses three data collection techniques: direct observation, qualitative interviews, and time study. The simulated model of the system is the basis for building improvement strategies. Results The simulation model yields more than 70% of the overall process time mainly consisting of idle time and waiting for the operator. It leads to an inefficient production system. Significant differences in processing time and assigning operators to workstations that are unbalanced cause inefficiency. Although most of the time was not efficient, the average utilization of the operator was 63.96%. The system has a good operator’s utility level because the average total utility value is higher than idle time. The operators are also responsible for other tasks that were included in the simulation . Discussion The study proves that simulation is a very promising approach that allows industrial owners to mimic the production process and resource assignments within the model. The production efficiency with existing resources can be enhanced with the balancing procedure between the workstations and the operators. The suggested system runs on the concept of assigning operators with lower utility to processes with high WIP queues. The operator can interact with multiple workstations. The proposed model reduces the total time required to produce the batik. Contribution The simulation helps the analyzed organization to evaluate the efficiency of the manufacturing process. Changing the parameters in the model can generate new utilization and efficiency for the system.

Suggested Citation

  • Stefani Prima Dias Kristiana & Anna Maria Sri Asih & Andi Sudiarso, 2023. "Designing Simulation to Improve Production Efficiency of Batik Industry," Simulation & Gaming, , vol. 54(6), pages 730-759, December.
    • Handle: RePEc:sae:simgam:v:54:y:2023:i:6:p:730-759
    DOI: 10.1177/10468781231205667
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/10468781231205667
    Download Restriction: no
    File URL: https://libkey.io/10.1177/10468781231205667?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. Sharifah Imihezri Syed Shaharuddin & Maryam Samirah Shamsuddin & Mohd Hafiz Drahman & Zaimah Hasan & Nurul Anissa Mohd Asri & Ahmad Amri Nordin & Norhashimah Mohd Shaffiar, 2021. "A Review on the Malaysian and Indonesian Batik Production, Challenges, and Innovations in the 21st Century," SAGE Open, , vol. 11(3), pages 21582440211, August.
    2. Opacic, Luke & Sowlati, Taraneh & Mobini, Mahdi, 2018. "Design and development of a simulation-based decision support tool to improve the production process at an engineered wood products mill," International Journal of Production Economics, Elsevier, vol. 199(C), pages 209-219.
    3. De Bruecker, Philippe & Van den Bergh, Jorne & Beliën, Jeroen & Demeulemeester, Erik, 2015. "Workforce planning incorporating skills: State of the art," European Journal of Operational Research, Elsevier, vol. 243(1), pages 1-16.
    4. Becker, Christian & Scholl, Armin, 2006. "A survey on problems and methods in generalized assembly line balancing," European Journal of Operational Research, Elsevier, vol. 168(3), pages 694-715, February.
    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. Balaraman Rajan & N. Ravichandran, 2019. "Case Article—Agile Auto Sub Assemblies: Challenges in Managing Growth, Resource Productivity, and Demand Variability," INFORMS Transactions on Education, INFORMS, vol. 20(1), pages 41-43, September.
    2. Sachin Modgil & Rohit Kumar Singh & Soni Agrawal, 2025. "Developing human capabilities for supply chains: an industry 5.0 perspective," Annals of Operations Research, Springer, vol. 348(3), pages 2075-2105, May.
    3. Ali İşeri & Hatice Güner & Ali Rıza Güner, 2025. "Pareto-optimal workforce scheduling with worker skills and preferences," Operational Research, Springer, vol. 25(2), pages 1-27, June.
    4. Walter, Rico & Schulze, Philipp & Scholl, Armin, 2021. "SALSA: Combining branch-and-bound with dynamic programming to smoothen workloads in simple assembly line balancing," European Journal of Operational Research, Elsevier, vol. 295(3), pages 857-873.
    5. García-Villoria, Alberto & Corominas, Albert & Nadal, Adrià & Pastor, Rafael, 2018. "Solving the accessibility windows assembly line problem level 1 and variant 1 (AWALBP-L1-1) with precedence constraints," European Journal of Operational Research, Elsevier, vol. 271(3), pages 882-895.
    6. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
    7. Opacic, Luke & Sowlati, Taraneh & Mobini, Mahdi, 2018. "Design and development of a simulation-based decision support tool to improve the production process at an engineered wood products mill," International Journal of Production Economics, Elsevier, vol. 199(C), pages 209-219.
    8. Borba, Leonardo & Ritt, Marcus & Miralles, Cristóbal, 2018. "Exact and heuristic methods for solving the Robotic Assembly Line Balancing Problem," European Journal of Operational Research, Elsevier, vol. 270(1), pages 146-156.
    9. Fırat, M. & Briskorn, D. & Laugier, A., 2016. "A Branch-and-Price algorithm for stable workforce assignments with hierarchical skills," European Journal of Operational Research, Elsevier, vol. 251(2), pages 676-685.
    10. Symitsi, Efthymia & Stamolampros, Panagiotis & Daskalakis, George & Korfiatis, Nikolaos, 2021. "The informational value of employee online reviews," European Journal of Operational Research, Elsevier, vol. 288(2), pages 605-619.
    11. Corominas, Albert & Pastor, Rafael & Plans, Joan, 2008. "Balancing assembly line with skilled and unskilled workers," Omega, Elsevier, vol. 36(6), pages 1126-1132, December.
    12. Rifat G. Ozdemir & Tugbanur Sezen, 2016. "Component inventory allocation in assembly line balancing with fuzzy performance ratings," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 8(1), pages 29-46.
    13. Boysen, Nils & Fliedner, Malte, 2008. "A versatile algorithm for assembly line balancing," European Journal of Operational Research, Elsevier, vol. 184(1), pages 39-56, January.
    14. Pereira, Jordi & Ritt, Marcus, 2023. "Exact and heuristic methods for a workload allocation problem with chain precedence constraints," European Journal of Operational Research, Elsevier, vol. 309(1), pages 387-398.
    15. Wang, Xiong & Ferreira, Fernando A.F. & Chang, Ching-Ter, 2022. "Multi-objective competency-based approach to project scheduling and staff assignment: Case study of an internal audit project," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    16. Marcel Albus & Timothée Hornek & Werner Kraus & Marco F. Huber, 2025. "Towards scalability for resource reconfiguration in robotic assembly line balancing problems using a modified genetic algorithm," Journal of Intelligent Manufacturing, Springer, vol. 36(2), pages 1175-1199, February.
    17. Roemer, Thomas A. & Ahmadi, Reza, 2010. "Models for concurrent product and process design," European Journal of Operational Research, Elsevier, vol. 203(3), pages 601-613, June.
    18. Mohamed-Amine Ouberkouk & Jean-Paul Boufflet & Aziz Moukrim, 2023. "Effective adaptive large neighborhood search for a firefighters timetabling problem," Journal of Heuristics, Springer, vol. 29(4), pages 545-580, December.
    19. Hamta, Nima & Fatemi Ghomi, S.M.T. & Jolai, F. & Akbarpour Shirazi, M., 2013. "A hybrid PSO algorithm for a multi-objective assembly line balancing problem with flexible operation times, sequence-dependent setup times and learning effect," International Journal of Production Economics, Elsevier, vol. 141(1), pages 99-111.
    20. Giacomo Dall’Olio & Rainer Kolisch, 2023. "Formation and Routing of Worker Teams for Airport Ground Handling Operations: A Branch-and-Price-and-Check Approach," Transportation Science, INFORMS, vol. 57(5), pages 1231-1251, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:sae:simgam:v:54:y:2023:i:6:p:730-759. 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: SAGE Publications (email available below). General contact details of provider: .

    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.