- -

Methodology and model-based DSS to managing the reallocation of inventory to orders in LHP situations. Application to the ceramics sector

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Methodology and model-based DSS to managing the reallocation of inventory to orders in LHP situations. Application to the ceramics sector

Mostrar el registro completo del ítem

Oltra Badenes, RF.; Gil Gómez, H.; Merigó, JM.; Palacios Marqués, D. (2019). Methodology and model-based DSS to managing the reallocation of inventory to orders in LHP situations. Application to the ceramics sector. PLoS ONE. 14(7):1-19. https://doi.org/10.1371/journal.pone.0219433

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/157514

Ficheros en el ítem

Metadatos del ítem

Título: Methodology and model-based DSS to managing the reallocation of inventory to orders in LHP situations. Application to the ceramics sector
Autor: Oltra Badenes, Raúl Francisco Gil Gómez, Hermenegildo Merigó, José M. Palacios Marqués, Daniel
Entidad UPV: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Fecha difusión:
Resumen:
[EN] Lack of homogeneity in the product (LHP) is a problem when customers require homogeneous units of a single product. In such cases, the optimal allocation of inventory to orders becomes much more complex. Furthermore, ...[+]
Derechos de uso: Reconocimiento (by)
Fuente:
PLoS ONE. (issn: 1932-6203 )
DOI: 10.1371/journal.pone.0219433
Editorial:
Public Library of Science
Versión del editor: https://doi.org/10.1371/journal.pone.0219433
Tipo: Artículo

References

Alarcón, F., Alemany, M. M. E., Lario, F. C., & Oltra, R. F. (2011). La falta de homogeneidad del producto (FHP) en las empresas cerámicas y su impacto en la reasignación del inventario. Boletín de la Sociedad Española de Cerámica y Vidrio, 50(1), 49-58. doi:10.3989/cyv.072011

Wanke, P., Alvarenga, H., Correa, H., Hadi-Vencheh, A., & Azad, M. A. K. (2017). Fuzzy inference systems and inventory allocation decisions: Exploring the impact of priority rules on total costs and service levels. Expert Systems with Applications, 85, 182-193. doi:10.1016/j.eswa.2017.05.043

JÖNSSON, H., & SILVER, E. A. (1987). Stock allocation among a central warehouse and identical regional warehouses in a particular push inventory control system. International Journal of Production Research, 25(2), 191-205. doi:10.1080/00207548708919833 [+]
Alarcón, F., Alemany, M. M. E., Lario, F. C., & Oltra, R. F. (2011). La falta de homogeneidad del producto (FHP) en las empresas cerámicas y su impacto en la reasignación del inventario. Boletín de la Sociedad Española de Cerámica y Vidrio, 50(1), 49-58. doi:10.3989/cyv.072011

Wanke, P., Alvarenga, H., Correa, H., Hadi-Vencheh, A., & Azad, M. A. K. (2017). Fuzzy inference systems and inventory allocation decisions: Exploring the impact of priority rules on total costs and service levels. Expert Systems with Applications, 85, 182-193. doi:10.1016/j.eswa.2017.05.043

JÖNSSON, H., & SILVER, E. A. (1987). Stock allocation among a central warehouse and identical regional warehouses in a particular push inventory control system. International Journal of Production Research, 25(2), 191-205. doi:10.1080/00207548708919833

Wu, H. H., & Yeh, C. S. (2014). A Study of the Bin Inventory Allocation Model for LED-CM Plants. Applied Mechanics and Materials, 543-547, 4440-4443. doi:10.4028/www.scientific.net/amm.543-547.4440

Wu, H.-H., & Jiang, X.-Y. (2017). Improved genetic algorithms for optimization of inventory allocation in LED chip manufacturing plants. Journal of Interdisciplinary Mathematics, 20(3), 727-738. doi:10.1080/09720502.2017.1357328

Kristianto, Y., Gunasekaran, A., Helo, P., & Hao, Y. (2014). A model of resilient supply chain network design: A two-stage programming with fuzzy shortest path. Expert Systems with Applications, 41(1), 39-49. doi:10.1016/j.eswa.2013.07.009

Protopappa-Sieke, M., Sieke, M. A., & Thonemann, U. W. (2016). Optimal two-period inventory allocation under multiple service level contracts. European Journal of Operational Research, 252(1), 145-155. doi:10.1016/j.ejor.2016.01.013

Luo, K., Bollapragada, R., & Kerbache, L. (2017). Inventory allocation models for a two-stage, two-product, capacitated supplier and retailer problem with random demand. International Journal of Production Economics, 187, 168-181. doi:10.1016/j.ijpe.2016.12.014

Zhao, H., Huang, E., Dou, R., & Wu, K. (2019). A multi-objective production planning problem with the consideration of time and cost in clinical trials. Expert Systems with Applications, 124, 25-38. doi:10.1016/j.eswa.2019.01.038

Kang, K., Pu, W., Ma, Y., & Wang, X. (2018). Bi-objective inventory allocation planning problem with supplier selection and carbon trading under uncertainty. PLOS ONE, 13(11), e0206282. doi:10.1371/journal.pone.0206282

Esmaeili-Najafabadi, E., Fallah Nezhad, M. S., Pourmohammadi, H., Honarvar, M., & Vahdatzad, M. A. (2019). A joint supplier selection and order allocation model with disruption risks in centralized supply chain. Computers & Industrial Engineering, 127, 734-748. doi:10.1016/j.cie.2018.11.017

Chen, C.-M. J., & Thomas, D. J. (2017). Inventory Allocation in the Presence of Service-Level Agreements. Production and Operations Management, 27(3), 553-577. doi:10.1111/poms.12814

Chen, C.-Y., Zhao, Z.-Y., & Ball, M. O. (2001). Information Systems Frontiers, 3(4), 477-488. doi:10.1023/a:1012837207691

CHEN, C.-Y., ZHAO, Z., & BALL, M. O. (2009). A MODEL FOR BATCH ADVANCED AVAILABLE-TO-PROMISE. Production and Operations Management, 11(4), 424-440. doi:10.1111/j.1937-5956.2002.tb00470.x

Pibernik, R. (2005). Advanced available-to-promise: Classification, selected methods and requirements for operations and inventory management. International Journal of Production Economics, 93-94, 239-252. doi:10.1016/j.ijpe.2004.06.023

Pibernik, R. (2006). Managing stock‐outs effectively with order fulfilment systems. Journal of Manufacturing Technology Management, 17(6), 721-736. doi:10.1108/17410380610678765

Meyr, H. (2008). Customer segmentation, allocation planning and order promising in make-to-stock production. OR Spectrum, 31(1), 229-256. doi:10.1007/s00291-008-0123-x

Pibernik, R., & Yadav, P. (2008). Inventory reservation and real-time order promising in a Make-to-Stock system. OR Spectrum, 31(1), 281-307. doi:10.1007/s00291-007-0121-4

Venkatadri, U., Srinivasan, A., Montreuil, B., & Saraswat, A. (2006). Optimization-based decision support for order promising in supply chain networks. International Journal of Production Economics, 103(1), 117-130. doi:10.1016/j.ijpe.2005.05.019

Xiong, M. H., Tor, S. B., Bhatnagar, R., Khoo, L. P., & Venkat, S. (2006). A DSS approach to managing customer enquiries for SMEs at the customer enquiry stage. International Journal of Production Economics, 103(1), 332-346. doi:10.1016/j.ijpe.2005.08.008

Mahdavi Pajouh, F., Xing, D., Zhou, Y., Hariharan, S., Balasundaram, B., Liu, T., & Sharda, R. (2013). A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise Dates. Interfaces, 43(6), 503-517. doi:10.1287/inte.2013.0693

Yang, W., & Fung, R. Y. K. (2014). An available-to-promise decision support system for a multi-site make-to-order production system. International Journal of Production Research, 52(14), 4253-4266. doi:10.1080/00207543.2013.877612

Castiglione, C., Alfieri, A., & Pastore, E. (2018). Decision Support System to balance inventory in customer-driven demand. IFAC-PapersOnLine, 51(11), 1499-1504. doi:10.1016/j.ifacol.2018.08.288

Mhiri, E., Jacomino, M., Mangione, F., Vialletelle, P., & Lepelletier, G. (2015). Finite capacity planning algorithm for semiconductor industry considering lots priority. IFAC-PapersOnLine, 48(3), 1598-1603. doi:10.1016/j.ifacol.2015.06.314

Alemany, M. M. E., Lario, F.-C., Ortiz, A., & Gómez, F. (2013). Available-To-Promise modeling for multi-plant manufacturing characterized by lack of homogeneity in the product: An illustration of a ceramic case. Applied Mathematical Modelling, 37(5), 3380-3398. doi:10.1016/j.apm.2012.07.022

ALEMANY, M. M. E., A., A., BOZA, A., & FUERTES-MIQUEL, V. S. (2015). A MODEL-DRIVEN DECISION SUPPORT SYSTEM FOR REALLOCATION OF SUPPLY TO ORDERS UNDER UNCERTAINTY IN CERAMIC COMPANIES. Technological and Economic Development of Economy, 21(4), 596-625. doi:10.3846/20294913.2015.1055613

Grillo, H., Alemany, M. M. E., & Ortiz, A. (2016). A review of mathematical models for supporting the order promising process under Lack of Homogeneity in Product and other sources of uncertainty. Computers & Industrial Engineering, 91, 239-261. doi:10.1016/j.cie.2015.11.013

Grillo, H., Alemany, M. M. E., Ortiz, A., & Mula, J. (2017). A Fuzzy Order Promising Model With Non-Uniform Finished Goods. International Journal of Fuzzy Systems, 20(1), 187-208. doi:10.1007/s40815-017-0317-y

ZENG, Y.-R., WANG, L., & XU, X.-H. (2015). AN INTEGRATED MODEL TO SELECT AN ERP SYSTEM FOR CHINESE SMALL- AND MEDIUM-SIZED ENTERPRISE UNDER UNCERTAINTY. Technological and Economic Development of Economy, 23(1), 38-58. doi:10.3846/20294913.2015.1072748

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem