A review on reinforcement learning algorithms and applications in supply chain management

B Rolf, I Jackson, M Müller, S Lang… - … Journal of Production …, 2023 - Taylor & Francis
Decision-making in supply chains is challenged by high complexity, a combination of
continuous and discrete processes, integrated and interdependent operations, dynamics …

Zero defect manufacturing in 2024: a holistic literature review for bridging the gaps and forward outlook

F Psarommatis, G May, V Azamfirei - International Journal of …, 2024 - Taylor & Francis
This study conducts a comprehensive review and analysis of zero defect manufacturing
(ZDM), a strategic and imperative approach in manufacturing, aiming at eliminating defects …

[HTML][HTML] Realizing zero-waste value chains through digital twin-driven S&OP: A case of grocery retail

S Sengupta, H Dreyer - Computers in Industry, 2023 - Elsevier
We posit that the zero-defect mindset from manufacturing is a crucial step in the direction of
achieving zero-waste value chains. Using a reflective conversation approach within a food …

[HTML][HTML] A systematic analysis for map** product-oriented and process-oriented zero-defect manufacturing (zdm) in the industry 4.0 era

F Psarommatis, G May - Sustainability, 2023 - mdpi.com
Quality is a key aspect in the era of Industry 4.0. Zero-defect manufacturing (ZDM) as the
latest quality assurance approach. It can be implemented in two different approaches: the …

Learning-based production, maintenance, and quality optimization in smart manufacturing systems: A literature review and trends

PD Paraschos, DE Koulouriotis - Computers & Industrial Engineering, 2024 - Elsevier
With the introduction of manufacturing paradigms, including Industry 4.0, production
research has shifted its focus to enabling intelligent manufacturing systems within industrial …

Smart Master Production Scheduling by Deep Reinforcement Learning: An Exploratory Analysis

JC Serrano-Ruiz, J Mula, R Poler… - Working Conference on …, 2024 - Springer
By providing a consolidated view of demand, production capacity and inventory status, the
master production schedule (MPS) enables collaborative networks to be optimised, planned …

Optimisation of production scheduling and sequencing problems in industry 4.0

M Tarazona, J Mula, R Poler - The International Conference on Industrial …, 2022 - Springer
This article presents an initial overview of optimisation models applied to production
scheduling and sequencing in the Industry 4.0 (I4. 0) environment. It reviews algorithms …

Envisioning Digital Twin (DT) driven Sales and Operational Planning (S&OP) Process

GW Saputro, N Sridaran - 2022 - ntnuopen.ntnu.no
This thesis investigates the potential impact of Digital Twin (DT) in Sales and Operation
Planning (S&OP) context. The goal of the study is to investigate DT in the context of S&OP to …