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Peak electricity demand control of manufacturing systems by gale-shapley algorithm with discussion on open innovation engineering

Renna, Paolo - In: Journal of open innovation : technology, market, and … 6 (2020) 2/29, pp. 1-15

simulation results show how the model can improve the performance of the manufacturing system in several conditions tested. In … allocation model can reduce the peak power, keeping the throughput performance level. This paper proposes a game theory to … uses the Gale-Shapley algorithm that forms couples of under and overloaded machines. Then, each couple exchanges the power …

Persistent link: https://www.econbiz.de/10012231611

On the variance of single-run unbiased stochastic derivative estimators

Cui, Zhenyu; Fu, Michael; Hu, Jian-Qiang; Liu, Yanchu; … - In: INFORMS journal on computing : JOC 32 (2020) 2, pp. 390-407

Persistent link: https://www.econbiz.de/10012242769

Simulation-based single vs. dual sourcing analysis in the supply chain with consideration of capacity disruptions, big data and demand patterns

Ivanov, Dmitry - In: International journal of integrated supply management : … 11 (2017) 1, pp. 24-43

Persistent link: https://www.econbiz.de/10011776626

Revealing interfaces of supply chain resilience and sustainability : a simulation study

Ivanov, Dmitry - In: International journal of production research 56 (2018) 10, pp. 3509-3525

Persistent link: https://www.econbiz.de/10011888090

A new unbiased stochastic derivative estimator for discontinuous sample performances with structural parameters

Peng, Yijie; Fu, Michael; Hu, Jian-Qiang; Heidergott, Bernd - In: Operations research 66 (2018) 2, pp. 487-499

Persistent link: https://www.econbiz.de/10011845997

From natural language to simulations : applying AI to automate simulation modelling of logistics systems

Jackson, Ilya; Sáenz, María Jesús; Ivanov, Dmitry - In: International journal of production research 62 (2024) 4, pp. 1434-1457

Persistent link: https://www.econbiz.de/10014458584

Maximum likelihood estimation by Monte Carlo simulation : toward data-driven stochastic modeling

Peng, Yijie; Fu, Michael; Heidergott, Bernd; Lam, Henry - In: Operations research 68 (2020) 6, pp. 1896-1912

Persistent link: https://www.econbiz.de/10012392175

Simulation-based ripple effect modelling in the supply chain

Ivanov, Dmitry - In: International journal of production research 55 (2017) 7/8, pp. 2083-2101

Persistent link: https://www.econbiz.de/10011648471

Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience : a research note

Ivanov, Dmitry; Das, Ajay - In: International journal of integrated supply management : … 13 (2020) 1, pp. 90-102

Persistent link: https://www.econbiz.de/10012252670

Technical note: central limit theorems for estimated functions at estimated points

Glynn, Peter W.; Fan, Lin; Fu, Michael; Hu, Jian-Qiang; … - In: Operations research 68 (2020) 5, pp. 1557-1563

Persistent link: https://www.econbiz.de/10012301573