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Comparing scheduling appointment rules performance in health care units : a discrete event simulation approach

Klojda, Thiago Nunes; Fortuna, Antônio Pedro de Britto … - In: Problems of management in the 21st century 16 (2021) 1, pp. 28-41

Persistent link: https://www.econbiz.de/10012616083

A simulation optimisation approach for managing bed capacity in an intensive care unit

Mohamed, Israa; Hussein, Rania - In: Journal of information & knowledge management : JIKM 20 (2021) 1, pp. 2150001-1-2150001-14

Persistent link: https://www.econbiz.de/10012602400

A framework for developing generalisable discrete event simulation models of hospital emergency departments

Boyle, Laura M.; Marshall, Adele H.; Mackay, Mark - In: European journal of operational research : EJOR 302 (2022) 1, pp. 337-347

Persistent link: https://www.econbiz.de/10013269750

Designing pandemic-resilient voting systems

Schmidt, Adam; Albert, Laura A. - In: Socio-economic planning sciences : the international … 80 (2022), pp. 1-17

Persistent link: https://www.econbiz.de/10013194100

Patient pathway modelling using discrete event simulation to improve the management of COPD

Yakutcan, Usame; Demir, Eren; Hurst, John R.; Taylor, … - In: Journal of the Operational Research Society 73 (2022) 4, pp. 754-778

Persistent link: https://www.econbiz.de/10013281355

Quantifying the benefits of digital supply chain twins : a simulation study in organic food supply chains

Binsfeld, Tom; Gerlach, Benno - In: Logistics 6 (2022) 3, pp. 1-23

Background: Digital supply chain twins (DSCT) are gaining increased attention in academia and practice and their positive impact on logistics and supply chain management (LSCM) performance is often highlighted. Still, LSCM executives are hesitant regarding DSCT implementation. One reason is the...

Persistent link: https://www.econbiz.de/10013287867

Additive manufacturing and supply chain configuration : modelling and performance evaluation

Rinaldi, Marta; Caterino, Mario; Macchiaroli, Roberto - In: Journal of industrial engineering and management : JIEM 15 (2022) 1, pp. 103-123

Purpose: the aim of the study is to compare the performance of different supply chain configurations adopting Additive Manufacturing. Five input factors have been varied with the aim of testing the response of the supply chain to different starting conditions. In order to evaluate the supply...

Persistent link: https://www.econbiz.de/10012815136

Simulation modeling and analysis for sustainable supply chains

Gumzej, Roman; Rakovska, Miroslava - In: Sustainable logistics and production in Industry 4.0 : …, (pp. 145-160). 2020

Persistent link: https://www.econbiz.de/10012795021

Modelling and simulation of automated manufacturing systems for evaluation of complex schedules

Kim, Chulhan; Lee, Tae-eog - In: International journal of production research 51 (2013) 12, pp. 3734-3747

Persistent link: https://www.econbiz.de/10009775718

Decision making using simulation methods in sustainable transportation

Rabe, Markus; Goldsman, David Morris - In: Sustainable transportation and smart logistics : …, (pp. 305-333). 2019

Persistent link: https://www.econbiz.de/10013263041