Nowadays, more and more enterprises are aware and motivated to adhere to collaborative
platforms as business enablers, allowing groups of companies to improve their offer and …

Demand forecasting is an important task for retailers as it is required for various operational
decisions. One key challenge is to forecast demand on special days that are subject to vastly …

The effects of collaborative planning, forecasting and replenishment in the performance of
supply chains have been discussed in the literature. In this research paper, we posit that …

The demand for a particular product or service is typically associated with different
uncertainties that can make them volatile and challenging to predict. Demand …

Structural equation analysis for multi-stage analysis on Radio Frequency Identification
(RFID) diffusion in the health care industry. Faced with an increasingly competitive business …

In the past few decades several supply chain management initiatives such as Vendor
Managed Inventory, Continuous Replenishment and Collaborative Planning Forecasting …

In recent years, machine learning models based on big data have been introduced into
marketing in order to transform customer data into meaningful insights and to make strategic …

The purpose of this paper is to analyze the performance variables of flexible manufacturing
system (FMS). This study was performed by different approaches viz. interpretive structural …

We develop actionable design propositions for collaborative sales and operations planning
(S&OP) based on the observation of contexts in which benefits are generated—or are …

Reliable demand forecasts are critical for effective supply chain management. Several
endogenous and exogenous variables can influence the dynamics of demand, and hence a …