Office chair scales based on static sitting posture

Xu, Ji‐Feng; Zhang, Hanning; Nie, Zichao

doi:10.2495/iceee140851

Search citation statements

Order By: Relevance

Paper Sections

Select...

The Spare Parts Inventory Control Model1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2014

2021

Publication Types

Select...

Article1

Book1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Common methods for demand forecasting include weighted moving average, exponential smoothing, Croston and bootstrap, etc. Croston usually be adapted to the demand forecasting for spare parts in advance period and, and at the same time it has good performance in the forecasting of discontinuous spare parts demand [6], thus we adapt it to forecast the spare parts demand in this model.…”

Section: The Spare Parts Inventory Control Modelmentioning

confidence: 99%

Research on Control Model for Spare Parts Inventory Based on the Optimal Replenishment Cycle

Gao

Yong

Zhou

et al. 2014

AMM

View full text Add to dashboard Cite

Control model for spare parts inventory is established based on the optimal replenishment cycle. The replenishment cycle impact on the spare parts inventory control is analyzed as well as the demand forecasting. First, the optimal replenishment cycle is given by using the method of the lowest cost of inventory. Then according to the demand characteristic of the spare parts, the safety stock can be calculated. Finally on the basis of the demand forecasting, the calculation method of spare parts replenishment quantity is given. A numerical example is presented to verify the validity and practicability of the model.

show abstract

Section: The Spare Parts Inventory Control Modelmentioning

confidence: 99%