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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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  • Raul Oltra-Badenes
  • Hermenegildo Gil-Gomez
  • Jose M Merigo
  • Daniel Palacios-Marques

Abstract

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.

Suggested Citation

  • Raul Oltra-Badenes & Hermenegildo Gil-Gomez & Jose M Merigo & Daniel Palacios-Marques, 2019. "Methodology and model-based DSS to managing the reallocation of inventory to orders in LHP situations. Application to the ceramics sector," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-19, July.
  • Handle: RePEc:plo:pone00:0219433
    DOI: 10.1371/journal.pone.0219433
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    1. Ping Josephine Xu & Russell Allgor & Stephen C. Graves, 2009. "Benefits of Reevaluating Real-Time Order Fulfillment Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 340-355, January.
    2. Herbert Meyr, 2009. "Customer segmentation, allocation planning and order promising in make-to-stock production," Springer Books, in: Herbert Meyr & Hans-Otto Günther (ed.), Supply Chain Planning, pages 117-144, Springer.
    3. Venkatadri, Uday & Srinivasan, Ashok & Montreuil, Benoit & Saraswat, Ashish, 2006. "Optimization-based decision support for order promising in supply chain networks," International Journal of Production Economics, Elsevier, vol. 103(1), pages 117-130, September.
    4. Pibernik, Richard, 2005. "Advanced available-to-promise: Classification, selected methods and requirements for operations and inventory management," International Journal of Production Economics, Elsevier, vol. 93(1), pages 239-252, January.
    5. Chien-Yu Chen & Zhen-Ying Zhao & Michael O. Ball, 2001. "Quantity and Due Date Quoting Available to Promise," Information Systems Frontiers, Springer, vol. 3(4), pages 477-488, December.
    6. Richard Pibernik & Prashant Yadav, 2009. "Inventory reservation and real-time order promising in a Make-to-Stock system," Springer Books, in: Herbert Meyr & Hans-Otto Günther (ed.), Supply Chain Planning, pages 169-195, Springer.
    7. Kai Kang & Wei Pu & Yanfang Ma & Xiaoyu Wang, 2018. "Bi-objective inventory allocation planning problem with supplier selection and carbon trading under uncertainty," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-25, November.
    8. Valerie Botta-Genoulaz & Pierre-Alain Millet, 2005. "A classification for better use of ERP systems," Post-Print hal-00392168, HAL.
    9. Bernard Grabot & Valerie Botta-Genoulaz, 2005. "Editorial: Special Issue on Enterprise Resource Planning systems (ERP)," Post-Print hal-00392204, HAL.
    10. Protopappa-Sieke, Margarita & Sieke, Marcel A. & Thonemann, Ulrich W., 2016. "Optimal two-period inventory allocation under multiple service level contracts," European Journal of Operational Research, Elsevier, vol. 252(1), pages 145-155.
    11. Xiong, M.H. & Tor, S.B. & Bhatnagar, Rohit & 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, Elsevier, vol. 103(1), pages 332-346, September.
    12. Luo, Kai & Bollapragada, Ramesh & Kerbache, Laoucine, 2017. "Inventory allocation models for a two-stage, two-product, capacitated supplier and retailer problem with random demand," International Journal of Production Economics, Elsevier, vol. 187(C), pages 168-181.
    13. Ma, N., 2014. "Optimal scope of supply chain network & operations design," Other publications TiSEM e6187708-b664-44bf-aef8-f, Tilburg University, School of Economics and Management.
    14. Meyr, H., 2009. "Customer Segmentation, Allocation Planning and Order Promising in Make-to-Stock Production," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36061, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    15. Valerie Botta-Genoulaz & Pierre-Alain Millet & Bernard Grabot, 2005. "A survey on the recent research literature on ERP systems," Post-Print hal-00392165, HAL.
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    1. Hermenegildo Gil-Gomez & Raul Oltra-Badenes & Vicente Guerola-Navarro & Pablo Zegarra Saldaña, 2023. "Crowdfunding: a bibliometric analysis," International Entrepreneurship and Management Journal, Springer, vol. 19(1), pages 27-45, March.
    2. Raul Oltra-Badenes & Hermenegildo Gil-Gomez & Vicente Guerola-Navarro & Pau Vicedo, 2019. "Is It Possible to Manage the Product Recovery Processes in an ERP? Analysis of Functional Needs," Sustainability, MDPI, vol. 11(16), pages 1-16, August.

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