The Evaluation and Improvement of the Production Processes of an Automotive Industry Company via Simulation and Optimization
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Liu, Xuejuan & Wang, Wenbin & Peng, Rui, 2015. "An integrated production, inventory and preventive maintenance model for a multi-product production system," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 76-86.
- Cavagnini, Rossana & Hewitt, Mike & Maggioni, Francesca, 2020. "Workforce production planning under uncertain learning rates," International Journal of Production Economics, Elsevier, vol. 225(C).
- Matthias Thürer & Nuno O. Fernandes & Mark Stevenson, 2022. "Production planning and control in multi-stage assembly systems: an assessment of Kanban, MRP, OPT (DBR) and DDMRP by simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 60(3), pages 1036-1050, February.
- Tarik Aouam & Kobe Geryl & Kunal Kumar & Nadjib Brahimi, 2018. "Production planning with order acceptance and demand uncertainty," Post-Print hal-01998733, HAL.
- Yun, Huimin & Wang, Meng & Feng, Wei & Tan, Tianwei, 2013. "Process simulation and energy optimization of the enzyme-catalyzed biodiesel production," Energy, Elsevier, vol. 54(C), pages 84-96.
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.- Severino, Gonzalo & Rivera, José & Parot, Roberto & Otaegui, Ernesto & Fuentes, Andrés & Reszka, Pedro, 2024. "Workforce and task optimization to guarantee oxygen bottling under a COVID-19 pandemic scenario: A Chilean case study," International Journal of Production Economics, Elsevier, vol. 271(C).
- Zhao, Xian & He, Zongda & Wu, Yaguang & Qiu, Qingan, 2022. "Joint optimization of condition-based performance control and maintenance policies for mission-critical systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
- Kajjoune, Oussama & Aouam, Tarik & Zouadi, Tarik & Ranjan, Ravi Prakash, 2023. "Dynamic lot-sizing in a two-stage supply chain with liquidity constraints and financing options," International Journal of Production Economics, Elsevier, vol. 258(C).
- Gössinger, Ralf & Helmke, Hanna & Kaluzny, Michael, 2017. "Condition-based release of maintenance jobs in a decentralised production-maintenance system – An analysis of alternative stochastic approaches," International Journal of Production Economics, Elsevier, vol. 193(C), pages 528-537.
- Manda, A.B. & Uzsoy, Reha, 2021. "Managing product transitions with learning and congestion effects," International Journal of Production Economics, Elsevier, vol. 239(C).
- Carlos Cuartas & Jose Aguilar, 2023. "Hybrid algorithm based on reinforcement learning for smart inventory management," Journal of Intelligent Manufacturing, Springer, vol. 34(1), pages 123-149, January.
- Jaber, M.Y. & Peltokorpi, J. & Glock, C.H. & Grosse, E.H. & Pusic, M., 2021. "Adjustment for cognitive interference enhances the predictability of the power learning curve," International Journal of Production Economics, Elsevier, vol. 234(C).
- Junzo Watada & Nureize Binti Arbaiy & Qiuhong Chen, 2021. "Hybrid Uncertainty-Goal Programming Model with Scaled Index for Production Planning Assessment," FinTech, MDPI, vol. 1(1), pages 1-24, November.
- Yang, Li & Zhao, Yu & Peng, Rui & Ma, Xiaobing, 2018. "Hybrid preventive maintenance of competing failures under random environment," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 130-140.
- Biswajit Sarkar & Bikash Koli Dey & Mitali Sarkar & Ali AlArjani, 2021. "A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
- Polotski, V. & Kenne, J.-P. & Gharbi, A., 2019. "Joint production and maintenance optimization in flexible hybrid Manufacturing–Remanufacturing systems under age-dependent deterioration," International Journal of Production Economics, Elsevier, vol. 216(C), pages 239-254.
- Rakiz, Asma & Absi, Nabil & Fenies, Pierre, 2023. "Comparing approaches for a multi-level planning problem in a mining industry," International Journal of Production Economics, Elsevier, vol. 265(C).
- Vadery, Vinu & Narayanan, Binitha N. & Ramakrishnan, Resmi M. & Cherikkallinmel, Sudha Kochiyil & Sugunan, Sankaran & Narayanan, Divya P. & Sasidharan, Sreenikesh, 2014. "Room temperature production of jatropha biodiesel over coconut husk ash," Energy, Elsevier, vol. 70(C), pages 588-594.
- Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
- Vávra, Aleš & Hájek, Martin & Skopal, Frantisek, 2017. "The removal of free fatty acids from methyl ester," Renewable Energy, Elsevier, vol. 103(C), pages 695-700.
- Pourzolfaghar, Hamed & Abnisa, Faisal & Daud, Wan Mohd Ashri Wan & Aroua, Mohamed Kheireddine, 2016. "A review of the enzymatic hydroesterification process for biodiesel production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 245-257.
- Janbarari, Seyed Reza & Ahmadian Behrooz, Hesam, 2020. "Optimal and robust synthesis of the biodiesel production process using waste cooking oil from different feedstocks," Energy, Elsevier, vol. 198(C).
- Kumar, Ashok & Gudiukaite, Renata & Gricajeva, Alisa & Sadauskas, Mikas & Malunavicius, Vilius & Kamyab, Hesam & Sharma, Swati & Sharma, Tanvi & Pant, Deepak, 2020. "Microbial lipolytic enzymes – promising energy-efficient biocatalysts in bioremediation," Energy, Elsevier, vol. 192(C).
- Liang, Xuezheng, 2013. "Synthesis of biodiesel from waste oil under mild conditions using novel acidic ionic liquid immobilization on poly divinylbenzene," Energy, Elsevier, vol. 63(C), pages 103-108.
- Ba, Kader & Dellagi, Sofiene & Rezg, Nidhal & Erray, Walid, 2016. "Joint optimization of preventive maintenance and spare parts inventory for an optimal production plan with consideration of CO2 emission," Reliability Engineering and System Safety, Elsevier, vol. 149(C), pages 172-186.
More about this item
Keywords
mixed integer programming; discrete event simulation; production process improvement; optimization;All these keywords.
Statistics
Access and download statisticsCorrections
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:gam:jsusta:v:15:y:2023:i:3:p:2331-:d:1048402. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.