TY - JOUR
T1 - Determination of the Safety Stock for Intermittent Demand
T2 - the Grey and Hybrid Theories
AU - Faghidian, S. Fatemeh
AU - Khashei, Mehdi
AU - Khalilzadeh, Mohammad
N1 - Publisher Copyright:
© Iran University of Science and Technology 2022
PY - 2022/3
Y1 - 2022/3
N2 - This study seeks to introduce the influential factors in controlling and dealing with uncertainty in intermittent demand. Hybrid forecasting and Grey Theory have been used simultaneously due to their potential in facing complex nature and insufficient data. Different modeling and unbiased weighting results have been used to estimate the safety stock(SS) by theoretical and experimental methods. In other words, this work deals with the less studied feature of various modeling errors and their effect on SS determination and recommends its use to address the uncertainty of intermittent demand as a criterion for introducing a superior model in the field of inventory.
AB - This study seeks to introduce the influential factors in controlling and dealing with uncertainty in intermittent demand. Hybrid forecasting and Grey Theory have been used simultaneously due to their potential in facing complex nature and insufficient data. Different modeling and unbiased weighting results have been used to estimate the safety stock(SS) by theoretical and experimental methods. In other words, this work deals with the less studied feature of various modeling errors and their effect on SS determination and recommends its use to address the uncertainty of intermittent demand as a criterion for introducing a superior model in the field of inventory.
KW - Croston method
KW - Grey forecasting
KW - Hybrid modeling
KW - Intermittent demand
KW - Safety stock
UR - http://www.scopus.com/inward/record.url?scp=85126727927&partnerID=8YFLogxK
U2 - 10.22068/ijiepr.33.1.8
DO - 10.22068/ijiepr.33.1.8
M3 - Article
AN - SCOPUS:85126727927
SN - 2008-4889
VL - 33
JO - International Journal of Industrial Engineering and Production Research
JF - International Journal of Industrial Engineering and Production Research
IS - 1
ER -