Title: OPTIMIZATION ALGORITHM OF WAREHOUSE BUSINESS PROCESSES OF PRODUCTION COMPANIES

Author: Tetiana Kashtalian

Abstract: Objective: This conceptual study suggests an integrated adaptation algorithm for the store’s business processes in manufacturing companies where kitting, delivery on the line, complement and selecting orders must meet strict time and lack of quality. Methods: We have synthesize devidence from studies that have been reviewed by fifteen peers reporting to range assignment, dosing of orders, directing collectors or robots, shelvesor sequencing of the underneath and empirical assessment to finternalre production. Using the design lens, we mapped decision –making layers, goals and obstacles compared to precise, apparent and mathematical approaches and derived from a derivative design and algorithm. No primary data was collected, The results are still working. Conclusions: Synthesis suggests that integrated storage models –Baching models reduce the line under constant travel lands equential basic lines, especially at sloping speed and correlated order. Double –level architecture is designed: MILP or Barriers Strategic Program for Territorial and War Horizon in combination with an operating dispatcher that creates a dose and tourism with generations of columns, dynamic programming and local search. The light evaluation protocol with synthetic layout, demand profiles and strong main power indicators are specified. Conclusion: The post provides a reproductive plan prepared for pilot testing in production warehouses. Boundaries are accepted, The road is practical. Future work should be verified on plants.

Keywords: Warehouse optimization, production logistics, storage assignment, order batching, and picker routing.

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