A significant volume of research has concentrated on operating-system directed power management (OSPM). The primary focus of previous research has been the development of OSPM policies. Under different conditions, one policy may outperform another and vice versa. Hence, it is difficult, or even impossible, to design the “best” policy for all computers. We present a software framework called the...

the bullwhip effect plays an important role in supply chain management especially in a highly volatile market where prices change due to many unexpected reasons brought about by different phenomenon such as global warming. traditionally, one may expect a reduction on demand when there is a significant move on market price. however, the recent changes on global economy imply that the demand for ...

In this study, the pricing problem of a transportation service provider company is considered. Our goal is to find optimal prices by using probabilistic dynamic programming. A fuzzy IF-THEN-rule based system is used to identify the demand levels under different prices and other characteristics of the journey. The results obtained by optimal price policies show that the revenue increases by appl...

This paper (a) provides a methodological taxonomy of pricing, financing, reimbursement, and cost containment methodologies for pharmaceuticals; (b) analyzes complex agency relationships and the health versus industrial policy tradeoff; (c) pinpoints financing measures to balance safety and effectiveness of medicines and their affordability by publicly funded systems in transition; and (d) highl...

this paper explains a model for analyzing and measuring the propagation of order amplifications (i.e. bullwhip effect) for a single-product supply network topology considering exogenous uncertainty and linear and time-invariant inventory management policies for network entities. the stream of orders placed by each entity of the network is characterized assuming customer demand is ergodic. in fa...

In recent years, aiming to reduce the Greenhouse Gas pollution and promote energy efficiency and conservation among consumers’ energy use, price policies and price changes derived from environmental regulations have played a more important role. In this paper, using the most recent annual state-level panel data for 48 states, I estimate a dynamic partial adjustment model for electricity demand ...

We present solution methodologies for vehicle routing problems (VRPs) with stochastic demand, with a specific focus on the vehicle routing problem with stochastic demand (VRPSD) and the vehicle routing problem with stochastic demand and duration limits (VRPSDL). The VRPSD and the VRPSDL are fundamental problems underlying many operational challenges in the fields of logistics and supply chain m...

This lecture provides an introduction to the problem of managing the energy demand of mobile devices. Reducing energy consumption, primarily with the goal of extending the lifetime of battery-powered devices, has emerged as a fundamental challenge in mobile computing and wireless communication. The focus of this lecture is on a systems approach where software techniques exploit state-of-the-art...

This paper examines the effect of inflation on real growth in a Solow growth model using data from a cross section of countries over a 30-year period. The advantage of using a theoretical model is that it reduces the risk that the results will reflect data-mining. The results suggest that the 5 percentage point reduction in inflation from the 1970s to the 1980s would increase the growth rate of...

Sustainability assessment of urban water and wastewater infrastructures, especially when it comes to managing existing systems, is paramount importance. Hence, this study presents a comprehensive approach investigate the sustainability real system under different demand management policies (WDMPs) in operation maintenance stage. In regard, life cycle (LCSA) used through its three main pillars, ...