Designing a new mathematical model based on ABC analysis for inventory control problem: A real case study

O Abdolazimi, D Shishebori, F Goodarzian… - RAIRO-operations …, 2021 - rairo-ro.org
In modern business today, organizations that hold large numbers of inventory items, do not
find it economical to make policies for the management of individual inventory items …

A non-compensatory classification approach for multi-criteria ABC analysis

MR Douissa, K Jabeur - Soft Computing, 2020 - Springer
ABC analysis is a widespread inventory management technique designed to classify
inventory items—based on their weighted scores—into three ordered categories A, B and C …

Improving Distributed Decision Making in Inventory Management: A Combined ABC‐AHP Approach Supported by Teamwork

IG Pérez Vergara, JA Arias Sánchez… - …, 2020 - Wiley Online Library
The need of organizations to ensure service levels that impact on customer satisfaction has
required the design of collaborative processes among stakeholders involved in inventory …

Root cause analysis for inverters in solar photo-voltaic plants

RMA Velásquez - Engineering Failure Analysis, 2020 - Elsevier
This research proposes a novel framework for autonomous root cause fault analysis, in a
complex process with continuous learning. The potential root cause candidates are selected …

Performance-based inventory classification methods for large-Scale multi-echelon replenishment systems

A Sheikh-Zadeh, MD Rossetti, MA Scott - Omega, 2021 - Elsevier
Inventory classification is a managerial method utilized to group items that share
predetermined characteristics, with the intent of assigning group-specific controls and …

[HTML][HTML] A hybrid fuzzy-stochastic multi-criteria ABC inventory classification using possibilistic chance-constrained programming

SH Razavi Hajiagha, M Daneshvar, J Antucheviciene - Soft Computing, 2021 - Springer
Inventory classification is a fundamental issue in the development of inventory policy that
assigns each inventory item to several classes with different levels of importance. This …

Performance enhanced Boosted SVM for Imbalanced datasets

R Sundar, M Punniyamoorthy - Applied Soft Computing, 2019 - Elsevier
In recent decades, researchers have proposed different boosting algorithms to improve the
learning abilities of classification techniques for imbalanced data. Especially for the SVM …

Robust ABC inventory classification using hybrid TOPSIS-alternative factor extraction approaches

A Hadi-Vencheh, P Wanke, A Jamshidi… - International Journal of …, 2023 - World Scientific
In this paper, we propose a robust ABC classification for inventories using a hybrid
technique for order of preference by similarity to ideal solution-alternative factor extraction …

Multistart with early termination of descents

A Žilinskas, J Gillard, M Scammell… - Journal of Global …, 2021 - Springer
Multistart is a celebrated global optimization technique frequently applied in practice. In its
pure form, multistart has low efficiency. However, the simplicity of multistart and multitude of …

A variable-scale dynamic clustering method

A Wang, X Gao - Computer Communications, 2021 - Elsevier
With the high intensity and density of aerospace launch in China, aerospace project
materials management faces various challenges, such as multiple aerospace projects …