By Chandra Natarajan and Lee Hales
The field of network optimization has evolved to improve the many decisions associated with establishing and managing a complex supply chain network. But in spite of powerful mathematical algorithms and software, a number of challenges make effective planning difficult. To address these challenges, the authors have developed the simple six-step procedure aimed at improving planners' effectiveness on "simple" projects — those using existing models to address problems of relatively limited scope, such as the best existing location at which to add capacity, or the impact of a change in inventory policy, or of adding or closing a branch warehouse.
Read the full article here.
The field of network optimization has evolved to improve the many decisions associated with establishing and managing a complex supply chain network. But in spite of powerful mathematical algorithms and software, a number of challenges make effective planning difficult. To address these challenges, the authors have developed the simple six-step procedure aimed at improving planners' effectiveness on "simple" projects — those using existing models to address problems of relatively limited scope, such as the best existing location at which to add capacity, or the impact of a change in inventory policy, or of adding or closing a branch warehouse.
Read the full article here.
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