Data-Driven Decision Making In Large Scale Production Planning
Production planning is a very important part for a company in making the right decisions before carrying out production activities in order to obtain maximum profit with a minimum level of production costs. Production planning is defined as a process in producing goods and services within a certain period by considering resources such as labor, materials, machinery and etc. In this research, a production planning model is produced based on several variables and parameters that can assist in making production decisions
Alarcón, F., Perez, D., & Boza, A. (2016). Using the Internet of Things in a Production Planning Context. Brazilian Journal of Operations & Production Management, 13(1), 72.
A. D. Dimitriadis, N. Shah, and C. C. Pantelides, “RTN-based rolling horizon algorithms for medium term scheduling of multipurpose plants,” Comput. Chem. Eng., vol. 21, pp. S1061–S1066, 1997.
C. C. Pantelides, “Unified frameworks for optimal process planning and scheduling,” in Proceedings on the second conference on foundations of computer aided operations, 1994, pp. 253–274.
C. M. McDonald and I. A. Karimi, “Planning and scheduling of parallel semicontinuous processes. 1. Production planning,” Ind. Eng. Chem. Res., vol. 36, no. 7, pp. 2691–2700, 1997.
E. Kondili, C. C. Pantelides, and R. W. H. Sargent, “A general algorithm for short-term scheduling of batch operations—I. MILP formulation,” Comput. Chem. Eng., vol. 17, no. 2, pp. 211–227, 1993.
G. Schilling and C. C. Pantelides, “Optimal periodic scheduling of multipurpose plants,” Comput. Chem. Eng., vol. 23, no. 4–5, pp. 635–655, 1999.
Jira, C., & Toffel, M. W. (2013). Engaging supply chains in climate change. Manufacturing and Service Operations Management.
L. G. Papageorgiou and C. C. Pantelides, “A hierarchical approach for campaign planning of multipurpose batch plants,” Comput. Chem. Eng., vol. 17, pp. S27–S32, 1993.
M. H. Bassett et al., “Perspectives on model based integration of process operations,” Comput. Chem. Eng., vol. 20, no. 6–7, pp. 821–844, 1996.
N. Shah, C. C. Pantelides, and R. W. H. Sargent, “Optimal periodic scheduling of multipurpose batch plants,” Ann. Oper. Res., vol. 42, no. 1, pp. 193–228, 1993.
P. M. Castro, A. P. Barbosa-Póvoa, and H. A. Matos, “Optimal periodic scheduling of batch plants using RTN-based discrete and continuous-time formulations: a case study approach,” Ind. Eng. Chem. Res., vol. 42, no. 14, pp. 3346–3360, 2003.
S. Bose and J. F. Pekny, “A model predictive framework for planning and scheduling problems: a case study of consumer goods supply chain,” Comput. Chem. Eng.,
S. Orcun, I. K. Altinel, and Ö. Hortaçsu, “General continuous time models for production planning and scheduling of batch processing plants: mixed integer linear program formulations and computational issues,” Comput. Chem. Eng., vol. 25, no. 2–3, pp. 371–389, 2001.
S. A. van den Heever and I. E. Grossmann, “A strategy for the integration of production planning and reactive scheduling in the optimization of a hydrogen supply network,” Comput. Chem. Eng., vol. 27, no. 12, pp. 1813–1839, 2003.
X. X. Zhu and T. Majozi, “Novel continuous time MILP formulation for multipurpose batch plants. 2. Integrated planning and scheduling,” Ind. Eng. Chem. Res., vol. 40, no. 23, pp. 5621–5634, 2001.
How to Cite
Copyright (c) 2022 Dea Christefa, Herman Mawengkang; Muhammad Zarlis
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.