Decision bias and bullwhip effect in multiechelon supply chains: Risk preference models

M Pournader, A Narayanan, MF Keblis… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we investigate whether risk aversion, risk seeking, loss aversion, or prospect
theory could explain the ordering decisions in multiechelon supply chains. First, we develop …

Lot-streaming in energy-efficient three-stage remanufacturing system scheduling problem with inequal and consistent sublots

W Wang, G Yuan, DT Pham, H Zhang, D Wang… - Computers and …, 2024 - Elsevier
The well-accepted three-stage remanufacturing system scheduling aims to achieve
intelligent and green remanufacturing by reasonably coordinating limited resources in the …

An efficient approximation to the pull policy for hybrid manufacturing and remanufacturing systems with setup costs

GA Chua, Y Feng, JRL Senga, S Viswanathan - IISE Transactions, 2024 - Taylor & Francis
We consider a continuous-review inventory control problem for a hybrid manufacturing and
remanufacturing system with product recovery and setup costs. A pull policy has been …

Framework for adaptable remanufacturing

M Paul, D Eickholt, G Reinhart - Production & Manufacturing …, 2024 - Taylor & Francis
Remanufacturing has received increased attention for its potential to reduce resource
consumption and emissions in the manufacturing sector. Remanufacturing involves …

A decision support system to evaluate product recovery strategies and performance

S Kuik, L Diong - Journal of Systems and Information Technology, 2025 - emerald.com
Purpose An important consideration in the recovery strategies and performance of any given
returned product is to make appropriate decisions for post-use. This paper aims to examine …

[PDF][PDF] Optimizing JIT production and maintenance strategies for material management in the presence of quality decline and random demand fluctuations

H Rivera-Gomez, D Sanchez-Partida… - Acta …, 2024 - researchgate.net
Delays and extra expenses may be incurred if the materials required for specific activities
are unavailable, highlighting the importance of ensuring a timely flow of materials. For …

A Simulation-Based Decision Support Tool for Circularity: Remanufacturing of an Electric Machine Case Study

M Pérez Tay - 2023 - diva-portal.org
Over the last years, environmental concerns have grown regarding the pressure
manufacturing activities exerts on natural resources. Many materials have been classified by …

Identification of Antisocial Behavior Using Conventional Machine Learning and Deep Learning Algorithms

P Mathan, A Pimpalapure, P Sen - International Journal of …, 2024 - ejournal.rems.co.in
Online antisocial behavior encompasses actions that harm others in the digital realm. This
can include cyberbullying, trolling, spreading misinformation, hacking as well as …

Inventory Management with Deep Q Learning and Genetic Analytical Hierarchical Process

P Verma, G Sao - International Journal of Science …, 2024 - ejournal.rems.co.in
The contemporary landscape of inventory management, particularly in the realm of imperfect
production, necessitates innovative approaches to enhance efficiency and accuracy …