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

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

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dc.contributor.author Oltra Badenes, Raúl Francisco es_ES
dc.contributor.author Gil Gómez, Hermenegildo es_ES
dc.contributor.author Merigó, José M. es_ES
dc.contributor.author Palacios Marqués, Daniel es_ES
dc.date.accessioned 2020-12-19T04:32:27Z
dc.date.available 2020-12-19T04:32:27Z
dc.date.issued 2019-07-11 es_ES
dc.identifier.issn 1932-6203 es_ES
dc.identifier.uri http://hdl.handle.net/10251/157514
dc.description.abstract [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, in an MTS environment, an optimal initial allocation may become less than ideal over time, due to different circumstances. This problem occurs in the ceramics sector, where the final product varies in tone and calibre. This paper proposes a methodology for the reallocation of inventory to orders in LHP situation (MERIO-LHP) and a model-based decision-support system (DSS) to support the methodology, which enables an optimal reallocation of inventory to order lines to be carried out in real businesses environments in which LHP is inherent. The proposed methodology and model-based DSS were validated by applying it to a real case at a ceramics company. The analysis of the results indicates that considerable improvements can be obtained with regard to the quantity of orders fulfilled and sales turnover. es_ES
dc.language Inglés es_ES
dc.publisher Public Library of Science es_ES
dc.relation.ispartof PLoS ONE es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Methodology and model-based DSS to managing the reallocation of inventory to orders in LHP situations. Application to the ceramics sector es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1371/journal.pone.0219433 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1371/journal.pone.0219433 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 19 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.description.issue 7 es_ES
dc.identifier.pmid 31295338 es_ES
dc.identifier.pmcid PMC6622491 es_ES
dc.relation.pasarela S\391233 es_ES
dc.description.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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references Chen, C.-Y., Zhao, Z.-Y., & Ball, M. O. (2001). Information Systems Frontiers, 3(4), 477-488. doi:10.1023/a:1012837207691 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references Pibernik, R. (2006). Managing stock‐outs effectively with order fulfilment systems. Journal of Manufacturing Technology Management, 17(6), 721-736. doi:10.1108/17410380610678765 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES


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