Open Access
Issue |
MATEC Web Conf.
Volume 402, 2024
The 4th International Conference on Engineering, Technology, and Innovative Researches (The 4th ICETIR 2022)
|
|
---|---|---|
Article Number | 01006 | |
Number of page(s) | 7 | |
Section | Mechanical and Industrial Engineering | |
DOI | https://doi.org/10.1051/matecconf/202440201006 | |
Published online | 23 August 2024 |
- Afriansyah, A. and Saladin Mohruni, A. (2021) ‘Production Planning and Control System with Just in Time and Lean Production: A Review’, Journal of Mechanical Science and Engineering, 6(2), pp. 019–027. [CrossRef] [Google Scholar]
- Chapman, S. N. (2006) The fundamentals of production planning and control. [Google Scholar]
- Biswas, T. and Baral, R. N. (2021) ‘A Review on Production Planning and Control’, International Journal of Multidisciplinary Innovative Research, 1(1), pp. 70–78. [Google Scholar]
- V. Gaspers, Production Planning and Inventory Control, Jakarta: PT. Gramedia Pustaka Umum, 2004. [Google Scholar]
- S. A. Afolalu, B. B. Matthew, S. O. Ongbali, A. Abdulkareem, M. E. Emetere, and O. U. Iheanetu, “Overview impact of planning in production of a manufacturing sector,” IOP Conf Ser Mater Sci Eng, vol. 1036, no. 1, p. 012060, Mar. 2021, doi: 10.1088/1757-899x/1036/1/012060. [CrossRef] [Google Scholar]
- Sugarindra, M. and Nurdiansyah, R. (2020) ‘Production Capacity Optimization with Rough Cut Capacity Planning (RCCP)’, IOP Conference Series: Materials Science and Engineering, 722(1). [Google Scholar]
- E. D. Santibanez Gonzalez, S. Abbasi, and M. Azhdarifard, “Designing a reliable aggregate production planning problem during the disaster period,” Sustainable Operations and Computers, vol. 4, pp. 158–171, Jan. 2023, doi: 10.1016/j.susoc.2023.08.004. [CrossRef] [Google Scholar]
- G. Buxey, “Strategy not tactics drives aggregate planning,” Int J Prod Econ, vol. 85, no. 3, pp. 331–346, Sep. 2003, doi: 10.1016/S0925-5273(03)00120-8. [CrossRef] [Google Scholar]
- A. Jamalnia, J. B. Yang, D. L. Xu, and A. Feili, “Novel decision model based on mixed chase and level strategy for aggregate production planning under uncertainty: Case study in beverage industry,” Comput Ind Eng, vol. 114, pp. 54–68, Dec. 2017, doi: 10.1016/j.cie.2017.09.044. [CrossRef] [Google Scholar]
- Hafezalkotob, A., Chaharbaghi, S. and Lakeh, T. M. (2019) ‘Cooperative aggregate production planning: a game theory approach’, Journal of Industrial Engineering International, 15(s1), pp. 19–37. [CrossRef] [Google Scholar]
- Hill, J. A. et al. (2000) ‘Master production scheduling in capacitated sequence-dependent process industries’, International Journal of Production Research, 38(18), pp. 4743–4761. [CrossRef] [Google Scholar]
- Irawan et al. (2020) ‘Analysis Of Production Capacity Planning And Control In PT. Krakatau Wajatama With Rought Cut Capacity Planning (RCCP)’, Journal Industrial Engineering & Management Research, 1(2), pp. 207–218. [Google Scholar]
- Jamalnia, A. et al. (2019) ‘Evaluating the performance of aggregate production planning strategies under uncertainty in soft drink industry’, Journal of Manufacturing Systems, 50(November), pp. 146–162. [CrossRef] [Google Scholar]
- Rapi, A., Muthalib, I. S. and Asmal, S. (2020) ‘Implementation of the Rought Cut Capacity Planning (RCCP) Methods for the Planning of Bottled Drinking Water Production Capacity: A study case’, IOP Conference Series: Materials Science and Engineering, 885(1) [Google Scholar]
- Jayakumar, A., Krishnaraj, C. and Raghunayagan, P. (2017) ‘Aggregate Production Planning For A Pump Manufacturing Company: Chase Strategy’, International Research Journal of Engineering and Technology, 04(12), pp. 628–632. [Google Scholar]
- Nugraha, I., Hisjam, M. and Sutopo, W. (2020) ‘Aggregate Planning Method as Production Quantity Planning and Control to Minimizing Cost’, IOP Conference Series: Materials Science and Engineering, 943(1). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.