methods in demand planning. A cross-industry analysis for current machine learning approaches within the field of demand … applied machine learning methods in the field of demand planning are identified. The literature research focuses on machine … learning applications across industries wherein demand planning plays a major role. Findings: This comparative analysis of …

to determine the safety stock levels in supply chain systems that face demand uncertainty. We model customer demand … placement problem in supply chains, but most studies assume independent and identically distributed demand. Our approach is …

is also benefit for the citizen, because cold chain could promise the food safety and the demand of the special cold food …. Beijing, as the capital, the level of food chain is high, compared to other cities, and analysis of the demand status and … over our country. Design/methodology/approach: In this paper, in accordance with the investigation, we analysis the demand …

Background: Transportation demand forecasting is an essential activity for logistics operators and carriers. It … statistics and deep learning models for transportation demand forecasts. This work aimed to perform a case study of aggregated … transportation demand forecasts in 54 distribution centers of a Brazilian carrier. Methods: A computational simulation and case study …