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Demand uncertainty in construction supply chains : a discrete event simulation study

Vidalakis, C.; Tookey, J. E.; Sommerville, J. - In: Journal of the Operational Research Society : OR 64 (2013) 8, pp. 1194-1204

Persistent link: https://www.econbiz.de/10009788135

Construction site layout planning using a simulation-based decision support tool

RazaviAlavi, SeyedReza; AbouRizk, Simaan - In: Logistics 5 (2021) 4, pp. 1-25

factors and decision variables. Methods: To improve site layout planning, this study aims to develop a simulation … layout plan within a simulation environment and provides seamless interactions between the site layout model and the … simulation model. These capabilities facilitate planning construction site layout using simulation by establishing two …

Persistent link: https://www.econbiz.de/10012661267

Simulation and gaming in construction business : design of a module-oriented modeling approach based on system dynamics and its prototypical implementation in research and educatio...

Karl, Christian K. (contributor) - 2014

Persistent link: https://www.econbiz.de/10010517401

Agent-based modeling of construction firms' organizational behavior in public tenders

Gladkikh, Valeriya; Alekseev, Aleksandr - In: Journal of risk and financial management : JRFM 16 (2023) 2, pp. 1-19

construction firms were obtained by the computer simulation of the construction firms’ strategic behavior in public tenders …

Persistent link: https://www.econbiz.de/10014305891

The cutting stock problem with multiple manufacturing modes applied to a construction industry

Lemos, Felipe Kesrouani; Cherri, Adriana Cristina; … - In: International journal of production research 59 (2021) 4, pp. 1088-1106

Persistent link: https://www.econbiz.de/10012484645

A decision support approach employing the PROMETHEE method and risk factors for critical supply assessment in large-scale projects

Cunha, Richard Alex da; Rangel, Luís Alberto Duncan; … - In: Operations research perspectives 9 (2022), pp. 1-14

The purpose of this article is twofold: to identify the critical risk factors (RFs) that impact supply chains (SC) in the engineering, procurement, and construction of large-scale projects (EPC-LSP) of the oil and gas industry (OGI) and to apply these RFs in a mathematical model developed, based...

Persistent link: https://www.econbiz.de/10014245315