Supply And Demand

Master Trading - Supply-Demand, Wyckoff, Candlesticks, and More with FusionFX!

What contribution can nuclear energy make to improve the security of energy supply? This study, which examines a selection of OECD member countries, qualitatively and quantitatively validates the often intuitive assumption that, as a largely domestic source of electricity with stable costs and no greenhouse gas emissions during production, nuclear energy can make a positive contribution.

Sales & Operation Planning (S&OP): Generate balanced & unconstrained demand

Master the art of efficient supply chain and logistics management to drive operational success and business growth.

The proliferation of renewable energy enhances the sustainability of power systems, but the inherent variability also poses great challenges to the planning and operation of large power grids. The corresponding electric power deficiencies can be compensated by fast ramping generators and energy storage devices. However, frequent ramp up/down power adjustments can increase the operation and the maintenance cost of generators.

This study covers the latent demand outlook for water supply and irrigation systems across the states and cities of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given some 12,919 cities across in the United States. For each city in question, the percent share the city is of it’s state and of the United States is reported. These comparative benchmarks allow the reader to quickly gauge a city vis-à-vis others.

Driving Business and Operational Excellence through Supply Chain Management in Industry & Manufacturing

This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address riskneutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on integrated disruption mitigation and recovery decision-making and innovative, computationally efficient multi-portfolio approach to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc.

This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address risk-neutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks.