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Optimal Production Planning - Omar Sakr - Bog

Optimal Production Planningaf Omar Sakr
Bag om Optimal Production Planning

Companies in the Consumer-Packaged Goods Industry are faced with a chronic dilemma: efficiency vs. agility. Companies must balance scale, which creates cost-saving opportunities, and flexibility, which often incurs incremental costs. Following extensive cost structure analysis and mapping of the company¿s supply chain network, a comprehensive Mixed Integer Linear Programming model was created. The model¿s objective function is cost minimization, which it must attempt considering ¿current-state¿ inputs and multiple operational constraints. The results suggest that a hybrid production planning strategy between ¿level-production¿ and ¿demand-chase¿ is preferred, and can generate significant cost savings. In summary, this strategy can help companies enhance their efficiency and reduce costs when optimizing the total end-to-end supply chain, instead of using department-based budget management.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9786206766926
  • Indbinding:
  • Paperback
  • Sideantal:
  • 56
  • Udgivet:
  • 16. August 2023
  • Størrelse:
  • 150x4x220 mm.
  • Vægt:
  • 102 g.
  • 2-3 uger.
  • 8. Oktober 2024
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Beskrivelse af Optimal Production Planning

Companies in the Consumer-Packaged Goods Industry are faced with a chronic dilemma: efficiency vs. agility. Companies must balance scale, which creates cost-saving opportunities, and flexibility, which often incurs incremental costs. Following extensive cost structure analysis and mapping of the company¿s supply chain network, a comprehensive Mixed Integer Linear Programming model was created. The model¿s objective function is cost minimization, which it must attempt considering ¿current-state¿ inputs and multiple operational constraints. The results suggest that a hybrid production planning strategy between ¿level-production¿ and ¿demand-chase¿ is preferred, and can generate significant cost savings. In summary, this strategy can help companies enhance their efficiency and reduce costs when optimizing the total end-to-end supply chain, instead of using department-based budget management.

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