...G.T.S. Ho; S.K. Choy; P.H. Tong; V. Tang Purpose Demand forecast methodologies have been studied extensively to improve operations in e-commerce. However, every forecast inevitably contains errors, and this may result in a disproportionate impact on operations, particularly in the dynamic nature...

... to issue purchase orders according to more dependable demand forecasts. Eleonora Bottani is the corresponding author and can be contacted at: eleonora.bottani@unipr.it 18 04 2018 13 08 2018 10 11 2018 07 12 2018 © Emerald Publishing Limited 2019 Emerald Publishing...

...Shuyun Ren; Tsan-Ming Choi Purpose – Panel data-based demand forecasting models have been widely adopted in various industrial settings over the past few decades. Despite being a highly versatile and intuitive method, in the literature, there is a lack of comprehensive review examining...

... industrial settings. Forecasting intermittent demand is a rather difficult task but of critical importance for corresponding cost savings. The current study aims to examine the empirical outcomes of three heuristics towards the modification of established intermittent demand forecasting approaches. Design...

... assessment of SAP^®'s forecasting models. Peter M. Catt can be contacted at: peter.catt@predictive.co.nz © Emerald Group Publishing Limited 2008 Manufacturing resource planning Demand forecasting Error analysis Our study evaluates the sales forecasting models of SAP...

... Publishing Limited 2005 Demand forecasting Manufacturing industries Inventory control Remanufacturing, as defined by The Remanufacturing Institute, is the process of disassembly of products during which time parts are cleaned, repaired or replaced and then reassembled to sound working...