Emerging production and information technologies have increased competition and consumer expectations, this leads to ever-shrinking product life cycles, volatile and unpredictable markets. In addition, natural disasters, accidents, supply disruptions increased the risk in today’s global and long supply chains. Keeping costs down and customers satisfied in a global marketplace requires companies to proactively manage supply and demand using state of art techniques, technologies and practices. This proposal describes a research program for building novel optimization models and efficient solution mechanisms that enable contemporary supply chains to optimally match demand and supply through demand management and sourcing decisions. The resulting modeling, analysis, and algorithmic development will also contribute advances in applied optimization theory and large-scale problem solving.
Field of science
- /natural sciences/earth and related environmental sciences/physical geography/natural disaster
- /social sciences/sociology/governance/crisis management
Call for proposal
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