Tobacco leaf raw material warehouse-out multi-target scheduling method based on dynamic planning

The invention relates to an intelligent logistics scheduling technology, and aims to provide a tobacco leaf raw material warehouse-out multi-target scheduling method based on dynamic planning. Comprising the steps of establishing a raw material attribute model and a raw material demand measurement m...

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Bibliographische Detailangaben
Hauptverfasser:	PENG YONGGANG, ZHANG JIAXIN, XI JIAQIN, SUN XIAOHAN, YANG MENGMENG, ZHANG YIFAN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention relates to an intelligent logistics scheduling technology, and aims to provide a tobacco leaf raw material warehouse-out multi-target scheduling method based on dynamic planning. Comprising the steps of establishing a raw material attribute model and a raw material demand measurement model; according to the production characteristics of tobacco leaf raw material alcoholization and tobacco leaf substitution, optimization indexes suitable for tobacco leaf raw material warehouse-out distribution are proposed, and a warehouse-out scheduling multi-objective optimization model is established; based on the raw material attribute model and the raw material demand measurement and calculation model, solving the warehouse-out scheduling multi-objective optimization model by adopting a dynamic programming algorithm with constraints; and according to the evaluation index, evaluating and preferentially selecting a path plan of warehouse-out scheduling, and selecting a corresponding tobacco leaf type and a sta