Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract This study presents mixed integer programming (MIP) models for production lot sizing problems with distribution costs using unit load devices such as pallets and containers. Problems that integrate production lot sizing decisions and loading of the products in vehicles (bins) are also modelled, in which constraints such as ight limits, volume restrictions or the value of the cargo loaded in the bins are considered. In general, these problems involve a trade-off beten production, inventory and distribution costs. Lot sizing decisions should take into account production capacity and product demand constraints. Distribution decisions are related to the loading and transport of products in unit load devices. The MIP models are solved by the branch-and-cut method of an optimization package and the results show that these approaches have the potential to address different practical situations.
['Flavio de Barros Molina', 'Reinaldo Morabito', 'Silvio Alexandre de Araujo']
I am writing a research paper on a idea MIP models for production lot sizing problems with distribution costs and cargo arrangement
[{"from": "human", "value": "I am writing a research paper on a idea MIP models for production lot sizing problems with distribution costs and cargo arrangement"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract This study presents mixed integer programming (MIP) models for production lot sizing problems with distribution costs using unit load devices such as pallets and containers. Problems that integrate production lot sizing decisions and loading of the products in vehicles (bins) are also modelled, in which constraints such as ight limits, volume restrictions or the value of the cargo loaded in the bins are considered. In general, these problems involve a trade-off beten production, inventory and distribution costs. Lot sizing decisions should take into account production capacity and product demand constraints. Distribution decisions are related to the loading and transport of products in unit load devices. The MIP models are solved by the branch-and-cut method of an optimization package and the results show that these approaches have the potential to address different practical situations."}]