Assis, RuiMarques, Pedro CarmonaSantos, José OliveiraVidal, Raphaela2022-09-192022-09-192019Assis, R.; Carmona Marques, P.; Oliveira Santos, J.; Vidal, R. (2019) . Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method. Open Engineering, 2019,9. p. 1-9. DOI: https://doi.org/10.1515/eng-2019-0062http://hdl.handle.net/10437/13107Open Engineering, 2019This article describes how to reach an item’s threshold, or in other words, the limit time for it to be re 5 trieved from stock and sold for a different use, as well as the remaining foreseen period for this situation to occur. Once a minimum length, or weight, is reached, left quan tities are more difficult to sell, as demand often exceeds the remaining parts or leftovers. The number of unfulfilled 10 orders increases, as time goes by, until it becomes further cost effective to dispose the leftover and sell it for a lower price and alternative use. A Monte Carlo simulation model was built in order to consider the randomness of future transactions and quantifying consequences providing this 15 way a simple and effective decision-making. KEYWORDS: Decision-making ; Economical Optimization ; Monte-Carlo Simulation ; Stochastic Processapplication/pdfengopenAccessGESTÃOGESTÃO DE STOCKSTOMADA DE DECISÃOOTIMIZAÇÃOPROCESSOS ESTOCÁSTICOSMANAGEMENTSTOCK MANAGEMENTDECISION MAKINGOPTIMIZATIONSTOCHASTIC PROCESSESarticle