Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis

LW Wong, GWH Tan, KB Ooi, B Lin… - International Journal of …, 2024 - Taylor & Francis
This study posits that the use of artificial intelligence (AI) enables supply chains (SCs) to
dynamically react to volatile environments, and alleviate potentially costly decision-makings …

Typology and literature review on multiple supplier inventory control models

J Svoboda, S Minner, M Yao - European Journal of Operational Research, 2021 - Elsevier
This paper reviews the literature on inventory models with multiple sourcing options and
presents a typology for classification. By means of the classification, the progression of the …

[HTML][HTML] A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process

J Barros, P Cortez, MS Carvalho - Operations Research Perspectives, 2021 - Elsevier
This paper analyses literature contributions in the search for safety stock problem under
uncertainties and risks in the procurement process, focusing on the dimensioning problem …

Logic-based Benders decomposition

JN Hooker, G Ottosson - Mathematical Programming, 2003 - Springer
Benders decomposition uses a strategy of``learning from one's mistakes.''The aim of this
paper is to extend this strategy to a much larger class of problems. The key is to generalize …

Managing uncertainty through supply chain flexibility: reactive vs. proactive approaches

R Angkiriwang, IN Pujawan… - … & Manufacturing Research, 2014 - Taylor & Francis
The purpose of this paper is to obtain insights into the typology of uncertainty and relevant
strategies adopted by manufacturing companies to achieve better supply chain flexibility …

Simulation-based optimization methods for setting production planning parameters

M Gansterer, C Almeder, RF Hartl - International Journal of Production …, 2014 - Elsevier
This paper refers to a hierarchical production planning system in a make-to-order
environment. A challenging task in this context is to determine good production parameter …

Impact of lead time variability in supply chain risk management

D Bandaly, A Satir, L Shanker - International Journal of Production …, 2016 - Elsevier
In this article, we study the impact of lead time variability on the performance of supply chain
risk management in the beer industry. The stakeholders considered are the empty aluminum …

A template-based approach to measure supply chain flexibility: a case study of Indian soap manufacturing firm

RK Singh, P Acharya, S Modgil - Measuring Business Excellence, 2020 - emerald.com
Purpose The purpose of this study is to quantify the supply chain flexibility for an Indian soap
manufacturing firm and to measure its performance. The authors made an attempt to find key …

The optimal replenishment policy for time-varying stochastic demand under vendor managed inventory

K Govindan - European Journal of Operational Research, 2015 - Elsevier
Abstract A Vendor Managed Inventory (VMI) partnership places the responsibility on the
vendor (rather than on buyers) to schedule purchase orders for inventory replenishment in …

Two-stage supply chain design with safety stock placement decisions

MS Puga, S Minner, JS Tancrez - International Journal of Production …, 2019 - Elsevier
In this paper, we propose a supply chain design model that integrates facility location with
safety stock placement and delivery strategy decisions, to reflect their interdependence and …