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Determining the conditions for the effective organization of order service by the logistics department of a manufacturing company

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Reducing transportation costs significantly enhances the overall efficiency of a manufacturing company.
The study proposes ten alternative schemes for order service organization based on a four-factor experimental design.
A structural model highlights interactions between participants in transportation service technology within the logistics department.
Developed forecasting models assist in making informed decisions based on order parameters, aiming for cost-effective logistics solutions.

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Analysis of transportation cost reduction via optimized order service organization in logistics departments.

Cherepakha et al. (2025) studied this question.

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