The bullwhip effect (BWE) describes a phenomenon that involves the increasing amplification of demand variability along a supply chain (SC). The BWE has been a subject that has received continuous attention from researchers over the past 15 years and is a concern for SC managers because it is a...

In an upstream supply chain dedicated to the mass production of customized products, many sources create production instability: the level and structure of production in the final assembly line, variability of lead times, quality issues, packaging and loading constraints on transportation,...

Accurate cash flow forecasting is essential for successful management of firms and it becomes especially critical during uncertain market and credit conditions. Without accurate cash flow forecasting, a firm may fail to meet its short-term obligations and risk bankruptcy. Accurate cash flow...

In a supply chain the variability of the orders received by the supplier can be greater than the demand variability. This phenomenon is named bullwhip effect. Some researchers are quantified the bullwhip by measuring the differences between observed variances in the different stages of the...

The present article refers to the bullwhip effect that negatively influences the supply chain performance. This effect is experienced by various industries, from fast moving consumer goods to IT products. The consequences for the supply chain members are the following: increased costs, lower...

In an upstream supply chain dedicated to the mass production of customized products, many sources create production instability: the level and structure of production in the final assembly line, variability of lead times, quality issues, packaging and loading constraints on transportation,...

Using a simulated supply chain experiment based on the well-known "beer game," we examine how changes in order and delivery cycles, availability of shared point-of-sale (POS) information, and the pattern of customer demand affect supply chain efficiency. We find that speeding up cycle time is...

An important observation in supply chain management, known as the bullwhip effect, suggests that demand variability increases as one moves up a supply chain. In this paper we quantify this effect for simple, two-stage supply chains consisting of a single retailer and a single manufacturer. Our...

This paper presents a multistage supply chain model that is based on Autoregressive Integrated Moving Average (ARIMA) time-series models. Given an ARIMA model of consumer demand and the lead times at each stage, it is shown that the orders and inventories at each stage are also ARIMA, and...

Many theoretical models adopt a normative approach and assume that decision makers are perfect optimizers. In contrast, this paper takes a descriptive approach and considers bounded rationality, in the sense that decision makers are prone to errors and biases. Our decision model builds on the...