[HTML][HTML] Stochastic simulation under input uncertainty: A review

CG Corlu, A Akcay, W Xie - Operations Research Perspectives, 2020 - Elsevier
Stochastic simulation is an invaluable tool for operations-research practitioners for the
performance evaluation of systems with random behavior and mathematically intractable …

Engineer-to-order challenges and issues: A systematic literature review of the manufacturing industry

CS Fortes, AB Tenera, PF Cunha - Procedia Computer Science, 2023 - Elsevier
Companies in engineer–to–order (ETO) manufacturing environments that seek efficiency
gains through adopting a mass customisation strategy meet significant challenges. The …

[PDF][PDF] MODELO INTEGRADO PARA A MELHORIA DA RESILIÊNCIA NO CUMPRIMENTO DE PRAZOS DE ENTREGA EM SISTEMAS PRODUTIVOS DE …

CADORS FORTES - 2023 - run.unl.pt
No ambiente competitivo em que as empresas atuam, os clientes procuram, cada vez mais,
a personalização dos seus produtos, existindo a necessidade de responder de forma eficaz …

[PDF][PDF] Operations Research Perspectives

CG Corlu, A Akcay, W Xie - Operations Research, 2020 - coe.neu.edu
Stochastic simulation is an invaluable tool for operations-research practitioners for the
performance evaluation of systems with random behavior and mathematically intractable …

Analysis of equipment utilization at random order arrivals and random output

LI Korolkova, N Mashrabov… - Journal of Physics …, 2020 - iopscience.iop.org
The aim of this work is to study equipment utilization of an enterprise. To examine the
random order arrivals and random output, we use the supply and demand model, in which …

Risk assessment in pharmaceutical supply chains under unknown input-model parameters

A Akcay, T Martagan, CG Corlu - 2018 Winter Simulation …, 2018 - ieeexplore.ieee.org
We consider a pharmaceutical supply chain where the manufacturer sources a customized
product with unique attributes from a set of unreliable suppliers. We model the likelihood of a …