The bullwhip effect is a well-known phenomenon of demand information distortion in supply chains. To measure the bullwhip effect in a supply chain, researchers often resort to material flow data, i.e., shipments and sales data, as proxies for order and demand information. In this paper, we study the accuracy of such an approximated bullwhip measure and provide remedies for correcting the estima...

• Support for very large deployments Would you like to become more demand-driven by using true end-customer demand for forecasting and replenishment planning? Are you able to understand and respond using downstream consumption data? Have you been unable to do this because of the large data volumes and performance limitations using traditional hardware and software? Oracle® In-Memory Consumption...

It is important to share demand information among the members in supply chains. In recent years, production and inventory systems with advance demand information (ADI) have been discussed, where advance demand information means the information of demand which the decision maker obtains before the corresponding actual demand arrives. Appropriate production and inventory control using demand info...

Energy storage systems (ESS) are penetrating into various sections of power system through different applications. ESS can be used either as a buffer for intermittent renewable energy sources or as a stand-alone distributed storage for load shifting. ESS use different types of storage devices such as lead-acid batteries, lithium ion batteries, flow batteries, and super-capacitors. Hybrid ESS co...

We investigate dynamic interactions of market driven consumer behavior using phase space reconstruction, which has been developed to analyze nonlinear dynamical systems. This approach provides important and unique empirical insights into U.S. beef demand. Results from the phase space reconstruction analysis demonstrate distinct differences between intertemporal shorter run impacts from food saf...

With the Internet applications in the commercial area of rapid spread, consumer demand-driven experience of becoming a leading Internet development. At the same time, e-commerce as the representative of the social network of constantly new changes. In computer systems and social integration of e-commerce systems are highly interactive, the consumer bears an increasingly important role in consum...

Recently, there has been much interest in performing demand-driven data-flow analysis in software development environments. Demand-driven analysis techniques compute data-flow fact(s) for a particular program point, rather than computing data-flow information for the entire program. The existing work in this area, however, assumes that the static call graph is available for the entire program. ...

Demand-driven systems follow the model where customers enter the system, request some service, and then depart. Examples are databases, transaction processing systems and operating systems, which form the system software layer between the applications and the hardware. Achieving scalability at the system software layer is critical for the scalability of the system as a whole, and yet this layer...

introduction: the aim of this study was to compare the formation of dentinal crack and craze lines in the root dentin during root canal preparation with three different niti endodontic systems, naming reciproc (rcp), protaper universal (ptu) and mtwo. methods and materials: one hundred extracted mandibular premolars with single canals were selected and decoronated. the teeth were randomly divid...