research-article

An explainable machine learning pipeline for backorder prediction in inventory management systems

Authors:

Charis Ntakolia,

Christos Kokkotiis,

Serafeim Moustakidis,

Elpiniki PapageorgiouAuthors Info & Claims

PCI '21: Proceedings of the 25th Pan-Hellenic Conference on Informatics

Pages 229 - 234

https://doi.org/10.1145/3503823.3503866

Published: 22 February 2022 Publication History

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Cited By

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Antunez JSalazar JCastañeda P(2024)Predictive model based on machine learning for raw material purchasing management in the retail sector.Proceedings of the 2024 International Conference on Advanced Robotics, Automation Engineering and Machine Learning10.1145/3677454.3677456(6-11)Online publication date: 28-Jun-2024
https://dl.acm.org/doi/10.1145/3677454.3677456
Ali AJayaraman RAzar EMaalouf M(2024)Maximizing supply chain performance leveraging machine learning to anticipate customer backordersComputers & Industrial Engineering10.1016/j.cie.2024.110414194(110414)Online publication date: Aug-2024
https://doi.org/10.1016/j.cie.2024.110414
Rana ASharma R(2024)Developing Artificial Neural Network Based Model for Backorder Prediction in Supply Chain ManagementRecent Advances in Operations Management and Optimization10.1007/978-981-99-7445-0_24(267-276)Online publication date: 20-Mar-2024
https://doi.org/10.1007/978-981-99-7445-0_24
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An explainable machine learning pipeline for backorder prediction in inventory management systems
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PCI '21: Proceedings of the 25th Pan-Hellenic Conference on Informatics

November 2021

499 pages

ISBN:9781450395557

DOI:10.1145/3503823

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 22 February 2022

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PCI 2021

PCI 2021: 25th Pan-Hellenic Conference on Informatics

November 26 - 28, 2021

Volos, Greece

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Antunez JSalazar JCastañeda P(2024)Predictive model based on machine learning for raw material purchasing management in the retail sector.Proceedings of the 2024 International Conference on Advanced Robotics, Automation Engineering and Machine Learning10.1145/3677454.3677456(6-11)Online publication date: 28-Jun-2024
https://dl.acm.org/doi/10.1145/3677454.3677456
Ali AJayaraman RAzar EMaalouf M(2024)Maximizing supply chain performance leveraging machine learning to anticipate customer backordersComputers & Industrial Engineering10.1016/j.cie.2024.110414194(110414)Online publication date: Aug-2024
https://doi.org/10.1016/j.cie.2024.110414
Rana ASharma R(2024)Developing Artificial Neural Network Based Model for Backorder Prediction in Supply Chain ManagementRecent Advances in Operations Management and Optimization10.1007/978-981-99-7445-0_24(267-276)Online publication date: 20-Mar-2024
https://doi.org/10.1007/978-981-99-7445-0_24
Li DLi XGu FPan ZChen DMadden A(2023)A Universality–Distinction Mechanism-Based Multi-Step Sales Forecasting for Sales Prediction and Inventory OptimizationSystems10.3390/systems1106031111:6(311)Online publication date: 19-Jun-2023
https://doi.org/10.3390/systems11060311
Shajalal MBoden AStevens G(2022)Explainable product backorder prediction exploiting CNN: Introducing explainable models in businessesElectronic Markets10.1007/s12525-022-00599-z32:4(2107-2122)Online publication date: 9-Nov-2022
https://doi.org/10.1007/s12525-022-00599-z

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Multi-objective optimization of hybrid backorder inventory model

Asymptotic Optimality of Order-Up-To Policies in Lost Sales Inventory Systems

Minimizing the Total Cost in an Integrated Vendor--Managed Inventory System

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