METHODS AND SYSTEMS FOR ENSURING ON-TIME DELIVERY (OTD) OF PRODUCT

The disclosure generally relates to methods and systems for ensuring the on-time delivery (OTD) of a product by a manufacturing company. According to the present disclosure, a part persona for each part is generated using a data model, by placing the part as an central entity and the one or more inf...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	GUPTA, Tanuj, SONI, Manish, HALDANKAR, Swanand Vishwas, SHETH, Chetan Inderjeet
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS 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
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	The disclosure generally relates to methods and systems for ensuring the on-time delivery (OTD) of a product by a manufacturing company. According to the present disclosure, a part persona for each part is generated using a data model, by placing the part as an central entity and the one or more influencing factors of each part that affect the OTD of the product are captured in the part persona. A trained intent and OTD prediction model is built and used to predict an initial intent and an initial OTD for each part, based on the corresponding part persona. Further, the trained intent and OTD prediction model is used to predict a successive intent and a successive OTD for each part, based on the conversations and the events. Hence the OTD of the product is accurately predicted and which is useful to ensuring the OTD of the product.