학술논문
Developing demand forecasting model of remanufactured parts of mining machinery
Document Type
Article
Author
Source
In Procedia CIRP 2020 90:85-90
Subject
Language
ISSN
2212-8271
Abstract
Remanufacturing is an effective measure for circular economy. In a maintenance business of mining machines, remanufactured parts are used as spare parts. In this business, forecasting demand of parts is critical for reproduction planning. This research proposes a demand forecasting model regarding the replacement as probability event. In the forecasting model, the demand is simulated using the actual data of mining machinery operation. The results show that, although there exist gaps between the simulated and the actual values, the simulation succeeded in reproducing rough trends of the demand. Solving these gaps will increase the accuracy of the demand forecast.