Mixed integer goal programming model for ABC classification based warehouse storage volume and travel distance optimization

The performance of a unit-load warehouse depends on numerous parameters such as storage area, layout, aisle configuration, width-to-depth ratio, the number and locations of dock doors, storage policy, etc. These parameters typically relate to the layout configuration, which can be either traditional (rectangle-shaped) or non-traditional (contour-line-shaped). In this paper, we analyze the performance of rectangle-shaped and contour-line-shaped storage areas within a unit-load warehouse having multiple dock doors. Expected distances traveled in rectangle-shaped storage areas are compared with expected distances in their counterpart contour-line-based storage areas when an ABC class-based storage policy is used to assign unit-loads. For a single product class, the expected-distance for a rectangle-shaped storage area is at most 6.07% greater than it is for the corresponding contour-line-shaped storage area. Depending on the skewness of the ABC curve or storage areas for multiple classes, the expected distance for rectangle-shaped storage areas can be no more than 0.59% greater than it is for the corresponding contour-line shaped storage areas when multiple dock doors are distributed with a specified distance between them.

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Mixed integer goal programming model for ABC classification based warehouse storage volume and travel distance optimization

Cited by 2 publications

References 8 publications

Minimization of Product Transportation and Temporary Storage Costs for Home Appliances Manufacturing Factories

Minimization of Product Transportation and Temporary Storage Costs for Home Appliances Manufacturing Factories

Comparison of Expected Distances in Traditional and Non-Traditional Layouts

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