... and customer satisfaction. Design/methodology/approach An integrated optimization framework is developed for the MMIRP-QD, which incorporates quantity discounts, replenishment lead times, stockout penalties and a flexible replenishment strategy. First, an innovative demand forecasting model is proposed...

...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. Some studies have proposed integrated models where ANNs is combined with other tools to make the demand prediction more effective. Among these studies, Kabir and Hasin (2014) proposed a forecasting model that exploits the adaptive...

...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...

... planning Demand forecasting Error analysis Our study evaluates the sales forecasting models of SAP^®'s enterprise resource planning (ERP) system using a quantitative methodology, details of which are explained in the following sections. SAP^® is the largest European software...

... components. Vokurka and Davis (2004) propose strategic groupings of “standardizers”, “customizers” and “automators” to classify manufacturing facilities – remanufacturing plants are typically “customizers” in this schema. © Emerald Group Publishing Limited 2005 Demand forecasting...