Supply chain data integration: A literature review

AAC Vieira, LMS Dias, MY Santos, GAB Pereira… - Journal of Industrial …, 2020 - Elsevier
Supply chains (SCs) are dynamic networks subject to uncertainties and risks that may occur
anywhere, anytime, and whose consequences affect the entities that comprise such SC …

Advancements in sustainable manufacturing supply chain modelling: a review

OK Wofuru-Nyenke, TA Briggs, DO Aikhuele - Process Integration and …, 2023 - Springer
Managers at various echelons of supply chains are continuously faced with problems of
examining and improving supply chain processes with the aim of improving productivity and …

Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments

P Priore, B Ponte, R Rosillo… - International Journal of …, 2019 - Taylor & Francis
Firms currently operate in highly competitive scenarios, where the environmental conditions
evolve over time. Many factors intervene simultaneously and their hard-to-interpret …

The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems

TE Goltsos, B Ponte, S Wang, Y Liu… - … Journal of Production …, 2019 - Taylor & Francis
Recent years have witnessed companies abandon traditional open-loop supply chain
structures in favour of closed-loop variants, in a bid to mitigate environmental impacts and …

Forecasting accuracy influence on logistics clusters activities: The case of the food industry

V Gružauskas, E Gimžauskienė, V Navickas - Journal of Cleaner …, 2019 - Elsevier
The current approaches to supply chain management generate large amounts of food waste
due to the growing urbanization levels, increasing consumer demand for organic products …

Information sharing in supply chains with heterogeneous retailers

R Dominguez, S Cannella, AP Barbosa-Póvoa… - Omega, 2018 - Elsevier
This work analyses partial information sharing involving retailers with different operational
configurations. Retailers are characterized by four operational factors, ie, demand variance …

Simulation of an automotive supply chain using big data

AAC Vieira, LMS Dias, MY Santos, GAB Pereira… - Computers & Industrial …, 2019 - Elsevier
Abstract Supply Chains (SCs) are dynamic and complex networks that are exposed to
disruption, which have consequences hard to quantify. Thus, simulation may be used, as it …

Proportional order-up-to policies for closed-loop supply chains: the dynamic effects of inventory controllers

S Cannella, B Ponte, R Dominguez… - International Journal of …, 2021 - Taylor & Francis
Increasing the understanding of the management of closed-loop supply chains (CLSCs) is
fundamental to accelerate the much-desired transition towards the circular economy. From …

Artificial intelligence in supply chain management: enablers and constraints in pre-development, deployment, and post-development stages

X Hao, E Demir - Production Planning & Control, 2024 - Taylor & Francis
This study presents a comprehensive investigation into the AI supply chain journey,
combining a systematic literature review (SLR) and empirical interviews with supply chain …

Understanding and predicting what influence online product sales? A neural network approach

F Hou, B Li, AYL Chong, N Yannopoulou… - Production Planning & …, 2017 - Taylor & Francis
Understanding the factors that influence sales is important for online sellers to manage their
supply chains. This study aims to examine the roles of online reviews and reviewer …