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Modular packaging facilitate customization for accommodating variable product sizes in a product family. When determining package sizes for product variability, packaging engineers does not find difficulty to determine package dimension for less product variety whereas if the product variety is more, then determining the dimension of modular package involves complex decision-making and time-consuming process to find the optimal solution. This in turn directly impacts the overall lead time of the supply chain. Thus, in this paper a dynamic programming is developed to determine the quantity and dimension of modular packages for every demand of assorted products sizes. The program helps in finding the optimum modularity level of the modular packaging by identifying the midpoint between reduced space wastage and minimum production quantity. Four different case studies are employed in this research to illustrate how the levels of modularity has the effect on reducing the source material wastage by volume. From the results of the case studies, the percentage improved in the container space utilization is represented.
Louie, Marshal and B, Kumar
"A Dynamic Programming Approach to Determine Optimum Modularity Level in Industrial Packaging,"
Journal of Applied Packaging Research: Vol. 13:
1, Article 1.
Available at: https://repository.rit.edu/japr/vol13/iss1/1
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