A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry
Chemical industries usually involve continuous and large-scale production processes that require demanding inventory control systems. This paper aims to show the results of the implementation of a mixed-integer programming model (MIP) based on the Generic Materials and Operations Planning Problem (G...
- Autores:
-
Coronado Hernández, Jairo Rafael
Romero-Conrado, Alfonso R.
Ochoa-González, Olmedo
Quintero-Arango, Humberto
Vargas, Ximena
Gatica, Gustavo
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9515
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9515
https://link.springer.com/chapter/10.1007/978-3-030-47679-3_12
- Palabra clave:
- Inventory turnover
Production planning
GMOP
Fertilizers
Chemical industry
Optimization
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry |
| title |
A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry |
| spellingShingle |
A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry Inventory turnover Production planning GMOP Fertilizers Chemical industry Optimization |
| title_short |
A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry |
| title_full |
A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry |
| title_fullStr |
A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry |
| title_full_unstemmed |
A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry |
| title_sort |
A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry |
| dc.creator.fl_str_mv |
Coronado Hernández, Jairo Rafael Romero-Conrado, Alfonso R. Ochoa-González, Olmedo Quintero-Arango, Humberto Vargas, Ximena Gatica, Gustavo |
| dc.contributor.author.none.fl_str_mv |
Coronado Hernández, Jairo Rafael Romero-Conrado, Alfonso R. Ochoa-González, Olmedo Quintero-Arango, Humberto Vargas, Ximena Gatica, Gustavo |
| dc.subject.keywords.spa.fl_str_mv |
Inventory turnover Production planning GMOP Fertilizers Chemical industry Optimization |
| topic |
Inventory turnover Production planning GMOP Fertilizers Chemical industry Optimization |
| description |
Chemical industries usually involve continuous and large-scale production processes that require demanding inventory control systems. This paper aims to show the results of the implementation of a mixed-integer programming model (MIP) based on the Generic Materials and Operations Planning Problem (GMOP) for optimizing the inventory turnover in a fertilizer company. Results showed significant improvements for Inventory Turnover Ratios and overall costs when compared with an empirical production planning method. |
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2020 |
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2020-10-30T16:14:10Z |
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2020-10-30T16:14:10Z |
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2020-05-22 |
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2020-10-29 |
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Coronado-Hernández J.R., Romero-Conrado A.R., Ochoa-González O., Quintero-Arango H., Vargas X., Gatica G. (2020) A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry. In: Saeed K., Dvorský J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science, vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_12 |
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978-3-030-47678-6 |
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https://hdl.handle.net/20.500.12585/9515 |
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https://link.springer.com/chapter/10.1007/978-3-030-47679-3_12 |
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10.1007/978-3-030-47679-3_12 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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Coronado-Hernández J.R., Romero-Conrado A.R., Ochoa-González O., Quintero-Arango H., Vargas X., Gatica G. (2020) A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry. In: Saeed K., Dvorský J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science, vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_12 978-3-030-47678-6 10.1007/978-3-030-47679-3_12 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/9515 https://link.springer.com/chapter/10.1007/978-3-030-47679-3_12 |
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eng |
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11 páginas |
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Coronado Hernández, Jairo Rafael86b71d5d-cfcc-464b-9792-545bb0afd5a5Romero-Conrado, Alfonso R.1d138280-5541-46fa-9c48-b8127f2bda56Ochoa-González, Olmedodde0e6dc-ad6e-4d72-81f1-be470171d56aQuintero-Arango, Humberto9154b54b-e64a-4135-8ced-633f840c5766Vargas, Ximena119d63f5-8e49-441b-b75d-019805bd8bbdGatica, Gustavofe6fa1c9-2c41-4f0b-9b8c-8dbc65eb42a02020-10-30T16:14:10Z2020-10-30T16:14:10Z2020-05-222020-10-29Coronado-Hernández J.R., Romero-Conrado A.R., Ochoa-González O., Quintero-Arango H., Vargas X., Gatica G. (2020) A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry. In: Saeed K., Dvorský J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science, vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_12978-3-030-47678-6https://hdl.handle.net/20.500.12585/9515https://link.springer.com/chapter/10.1007/978-3-030-47679-3_1210.1007/978-3-030-47679-3_12Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarChemical industries usually involve continuous and large-scale production processes that require demanding inventory control systems. This paper aims to show the results of the implementation of a mixed-integer programming model (MIP) based on the Generic Materials and Operations Planning Problem (GMOP) for optimizing the inventory turnover in a fertilizer company. Results showed significant improvements for Inventory Turnover Ratios and overall costs when compared with an empirical production planning method.11 páginasapplication/pdfengLecture Notes in Computer Science, vol 12133.Computer Information Systems and Industrial Management - 19th International Conference, CISIM 2020, Proceedings. 134.145A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industryinfo:eu-repo/semantics/lectureinfo:eu-repo/semantics/publishedVersionOtrohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_8544Inventory turnoverProduction planningGMOPFertilizersChemical industryOptimizationinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbCartagena de IndiasInvestigadoresCalcium Nitrate - an overview|ScienceDirect Topics. https://www.sciencedirect.com/topics/chemistry/calcium-nitrateNPK Fertilizers - an overview|ScienceDirect Topics. https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/npk-fertilizersAllman, A., Palys, M.J., Daoutidis, P.: Scheduling-informed optimal design of systems with time-varying operation: a wind-powered ammonia case study. AIChE J. 65(7) (2019). https://doi.org/10.1002/aic.16434Amaran, S., et al.: Long-term turnaround planning for integrated chemical sites. Comput. Chem. Eng. 72, 145–158 (2015). https://doi.org/10.1016/j.compchemeng.2014.08.003Burawat, P.: Guidelines for improving productivity, inventory, turnover rate, and level of defects in manufacturing industry. Int. J. Econ. Perspect. 10(4), 88–95 (2016)Castillo, P.C., Castro, P.M., Mahalec, V.: Multiperiod inventory pinch algorithm for integrated planning and scheduling of oil refineries. In: Computing and Systems Technology Division 2016 - Core Programming Area at the 2016 AIChE Annual Meeting, pp. 402–404 (2016)Cunha, A.L., Santos, M.O.: Mathematical modelling and solution approaches for production planning in a chemical industry. Pesquisa Operacional 37(2), 311–331 (2017). https://doi.org/10.1590/0101-7438.2017.037.02.0311Dziurzanski, P., Zhao, S., Swan, J., Indrusiak, L.S., Scholze, S., Krone, K.: Solving the multi-objective flexible job-shop scheduling problem with alternative recipes for a chemical production process. In: Kaufmann, P., Castillo, P.A. (eds.) EvoApplications 2019. LNCS, vol. 11454, pp. 33–48. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-16692-2_3Garcia-Sabater, J.P., Maheut, J., Marin-Garcia, J.A.: A new formulation technique to model materials and operations planning: the generic materials and operations planning (GMOP) problem. Eur. J. Ind. Eng. 7(2), 119–147 (2013). https://doi.org/10.1504/EJIE.2013.052572Kwak, J.K.: Analysis of inventory turnover as a performance measure in manufacturing industry. Processes 7(10) (2019).Li, D., Zhang, X.: How time horizons and arbitrage cost influence the turnover premium? Appl. Econ. 51(44), 4833–4848 (2019). https://doi.org/10.1080/00036846.2019.1602713Maheut, J., Garcia-Sabater, J.P.: Algorithm for complete enumeration based on a stroke graph to solve the supply network configuration and operations scheduling problem. J. Ind. Eng. Manage. 6(3 SPL.ISS), 779–795 (2013). https://doi.org/10.3926/jiem.550Maheut, J., Garcia-Sabater, J.P., Mula, J.: The generic materials and operations planning (GMOP) problem solved iteratively: a case study in multi-site context. In: Frick, J., Laugen, B.T. (eds.) APMS 2011. IAICT, vol. 384, pp. 66–73. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33980-6_8Maheut, J., Garcia-Sabater, J.P.: A parallelizable heuristic for solving the generic materials and operations planning in a supply chain network: a case study from the automotive industry. IFIP Adv. Inf. Commun. Technol. 397, 151–157 (2013). https://doi.org/10.1007/978-3-642-40352-1_20Mostafaei, H., Harjunkoski, I.: Continuous-time scheduling formulation for multipurpose batch plants. AIChE J. 66(2) (2020). https://doi.org/10.1002/aic.16804Nugroho, Y.K., Zhu, L.: An integration of algal biofuel production planning, scheduling, and order-based inventory distribution control systems. Biofuels, Bioprod. Biorefin. 13(4), 920–935 (2019). https://doi.org/10.1002/bbb.1982Odongo, I., Nag, B.: Achieving quality by rapid inventory turnover in the supply chain. Int. J. Prod. Qual. Manage. 19(2), 209–241 (2016). https://doi.org/10.1504/IJPQM.2016.078888Otashu, J.I., Baldea, M.: Scheduling chemical processes for frequency regulation. Appl. Energy 260 (2020). https://doi.org/10.1016/j.apenergy.2019.114125Pacheco Velásquez, E.A.: Un modelo para la optimización de políticas de inventario conjuntas en cadenas de suministro. INGE CUC 9(1), 11–23 (2013). http://revistascientificas.cuc.edu.co/index.php/ingecuc/article/view/105Reetz, H.F.: Fertilizantes e seu Uso Eficiente, vol. 2 (2016). www.anda.org.brRomero-Conrado, A.R., Coronado-Hernandez, J.R., Rius-Sorolla, G., García-Sabater, J.P.: A Tabu list-based algorithm for capacitated multilevel IoT-sizing with alternate bills of materials and co-production environments. Appl. Sci. (Switz.) 9(7), 1464 (2019). https://doi.org/10.3390/app9071464Sabah, B., Nikolay, T., Sylverin, K.T.: Production planning under demand uncertainty using Monte Carlo simulation approach: a case study in fertilizer industry. In: Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019, pp. 1–6. Institute of Electrical and Electronics Engineers (IEEE), January 2019). https://doi.org/10.1109/IESM45758.2019.8948112Talay, I., Özdemir-Akyıldırım, Ö.: Optimal procurement and production planning for multi-product multi-stage production under yield uncertainty. Eur. J. Oper. Res. 275(2), 536–551 (2019). https://doi.org/10.1016/j.ejor.2018.11.069Wiemer, P.: Production planning and scheduling in chemical and pharmaceutical industry. In: European Control Conference, ECC 1999 - Conference Proceedings, pp. 4836–4841 (2015). https://doi.org/10.23919/ecc.1999.7100102Yang, L.: Design of production management system in ERP of coal chemical industry. Chem. Eng. Trans. 65, 475–480 (2018). https://doi.org/10.3303/CET1865080Zheng, H.: Chemical enterprise production management system based on ERP. Chem. Eng. 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