Most manufacturing companies face strong competition and continuowus changes in market and customer requirements. Planning are frequently affected by the actions of suppliers and customers in their supply networks such as changes to orders that are already in production or re-planning caused by lack of materials or resources. Often, decisions have to be made without having a complete, real time...

In this work, we provide an overview of our previously published works on incorporating demand uncertainty in midterm planning of multisite supply chains. A stochastic programming based approach is described to model the planning process as it reacts to demand realizations unfolding over time. In the proposed bilevel-framework, the manufacturing decisions are modeled as ‘here-and-now’ decisions...

iran is among the world’s arid and semi-arid regions and its demand for water has been increased due topopulation growth, urbanization and the development the economic sectors (industrial and agricultural). inmany of these regions, the lack of planning and the unauthorized use of resources have led to excessiveexploitation and a lower level of groundwater. the usable groundwater for the country...

Unified Demand Planning process proposed is an intention to centralize demand planning activities for cascaded supply chain partners. It is a collaboration process based on electronic logistics.

Globalization increases product variety and shortens product life cycles. These lead to an increase in demand uncertainty and variability. Outsourcing to low-cost countries increases supply lead-time and supply uncertainty and variability. Coupled with the increase of mergers and acquisitions, which increase supply chain complexity, and the unforgiving nature of having too little or too much in...

Amixed integer stochastic programming model is established to support strategic planning of bioenergy supply chain systems and optimal feedstock resource allocation in an uncertain decision environment. The two-stage stochastic programming model, together with a Lagrange relaxation based decomposition solution algorithm, was implemented in a realworld case study in California to explore the pot...

Intensified industrialization in developing countries has recently resulted in huge electric power demand growth; however, electricity generation in these countries is still heavily reliant on inefficient and traditional non-renewable technologies. In this paper, we develop an integrated game-theoretic model for effective power systems planning thorough balancing between supply and demand for e...

Over the last several decades, globalization has led to supply chains that have become increasingly complex. Demand for goods and services has exploded in markets that were insignificant just a generation ago. In addition, global sourcing has led to longer and longer lead times on many products, making supply chains increasingly inflexible. These megatrends have made demand forecasting and plan...