An explainable machine learning model for material backorder prediction in inventory management

C Ntakolia, C Kokkotis, P Karlsson, S Moustakidis - Sensors, 2021 - mdpi.com
Global competition among businesses imposes a more effective and low-cost supply chain
allowing firms to provide products at a desired quality, quantity, and time, with lower …

Solving order planning problem using a heuristic approach: The case in a building material distributor

CN Wang, NAT Nguyen, TT Dang - Applied sciences, 2020 - mdpi.com
For building material distributors, order planning is a key process as a result of the increase
in construction projects' scale and complexity. In this paper, the integration of simulation …

Exploring the connections between backrooms, inventory record inaccuracies, and waste

MJ Bixler, D Honhon - Sustainability, 2021 - mdpi.com
This paper explores the impact of retail store backrooms on inventory record inaccuracies
(IRI) and waste. A trend in the retail industry is operating in the absence of a backroom …

Closed-form (R, S) inventory policies for perishable inventory systems with supply chain disruptions

LL Czerniak, MS Daskin, MS Lavieri… - INFOR: Information …, 2023 - Taylor & Francis
Hospital pharmacy managers make inventory decisions for thousands of different perishable
drugs. Commonly, these managers do not have the resources to implement advanced …

Performance of stochastic inventory system with a fresh item, returned item, refurbished item, and multi-class customers

K Jeganathan, S Selvakumar, S Saravanan… - Mathematics, 2022 - mdpi.com
This paper deals with an integrated and interconnected stochastic queuing-inventory system
with a fresh item, a returned item, and a refurbished item. This system provides a multi-type …

Optimal replenishment policies and trade credit for integrated inventory problems in fuzzy environment

W Xu, L Zhang, J Cui - Mathematical Problems in Engineering, 2022 - Wiley Online Library
In this highly volatile, uncertain, complex, and ambiguous (VUCA) environment, a fuzzy
inventory optimization problem is a hot topic that received the most attention from both …

A Markovian approach to modeling a periodic order‐up‐to‐level policy under stochastic discrete demand and lead time with lost sales

NTT Duc, PD Tai… - … in Operational Research, 2022 - Wiley Online Library
In this paper, a periodic order‐up‐to‐level policy is developed by using a Markovian
approach. Customer demand is modeled by using an empirical distribution. Unmet customer …

Inventory Positioning in Supply Chain Network: A Service-Oriented Approach

NTT Duc, PD Tai, J Buddhakulsomsiri - IEEE Access, 2022 - ieeexplore.ieee.org
This study develops a mixed-integer linear programming model based on a guaranteed
service approach for an inventory positioning problem in a supply chain under the base …

Theoretical relationship between the cluster size of orders in the materials requirement planning

TD Tobares, MM Mieras, RR Palma… - … Journal of Logistics …, 2023 - inderscienceonline.com
In times of globalisation and competitive markets, it is crucial for organisations to focus their
activities on processes planned to promote efficiency. Material requirements planning …

Review of Inventory Models with Different Demand, Deterioration, and Payment Options for Product-Oriented

J Soni, CR Vaghela - 2024 - papers.ssrn.com
This research aims to construct inventory framework for several demand and deterioration
situations, conduct a search of the literature and become familiar with documentation and …