Tata Consultancy Services Limited

Gm Global Technolgoy Operations, Inc.

Jeffrey Tew

Devadatta Madhukar Kulkarni

Peiling Wu

Stephan R Biller

Rajesh Sundaresan

Ramakrishnan Sundaram Srinivasan

Rajeev Shorey

Sampad Mohanty

Gaurav Bhandari

Raghunath D

Ashish Vasant Joglekar

Prakash M Hiremath

Gautam Abhay Kumar Sardar

Shang-Tae Yee

Venkatesh Prabhu

Present disclosure relates to method and synchronization system for synchronizing plurality of events associated with one or more processes in assembly line for tracing entity. Initially, information related to plurality of events associated with one or more processes from one or more devices is received, where each of the plurality of events comprises respective first timestamp. Upon receiving, the first timestamp between each of the plurality of events is synchronized by performing first level and second level synchronization. The synchronization converts first timestamp into second timestamp with respect to common reference timestamp. Further, the synchronization system may identify one or more defects based on quality value assigned to entity. Thus, the present disclosure helps the synchronization system to efficiently trace entity when a defect is identified and replaces/repairs the entity.

Method and system for synchronizing plurality of events in an assembly line

Sourcing is a practice of locating and selecting entities based on set criteria. Determining most appropriate supplier entities at the lowest cost can develop a competitive advantage. However, existing sourcing techniques lack effective ways to target best suppliers for right part bundling and to efficiently optimize sourcing cost for sustained savings. Present disclosure leverages machine learning and optimization methods with technology data to provide a computationally efficient solution. Relationships between parts and corresponding attributes are obtained for parts bundling and best supplier locations are mapped for selected part bundles. A sourcing cost minimizer is used in conjunction with an iterative process to grow or limit supplier capacity by constraining award amount, bundle mix, or number of supplier entities based on multiple alternative scenarios being defined to systemically minimize cost and manage risks driven by changes in customer demand or manufacturing location.

System and method for scenario-driven optimization of sourcing cost

Methods and systems for providing assistance in scheduling a plurality of tasks pertaining to a project are described. The method may include obtaining information pertaining to each of the plurality of tasks associated with the project for scheduling execution of the plurality of tasks. Further, the method may include computing a certainty index and a controllability index for each of the plurality of tasks. The certainty index and the controllability index is computed based on corresponding certainty scores and controllability scores determined for each of the plurality of tasks. The method also includes distributing the plurality of tasks into quadrants based on a threshold value determined for the certainty index and the controllability index. In addition, the method may include generating a sequence of execution of the plurality of tasks of the project based on the division of the tasks.

Task scheduling assistance

A system and method for calibrating an inventory planning model in a parts supply chain. The inventory planning model is determined based on certain input. A performance monitor measures the parts supply chain and provides performance metrics. The movement of parts through the parts supply chain is also monitored by a supply chain visibility system that keeps track of actual supply chain conditions. Both information on the actual supply chain conditions and the performance metrics is sent to a feedback filter that formats the information into an appropriate form. The feedback from the feedback filter is sent to a feedback controller. Based on the feedback information and the input, the feedback controller adjusts the input of the inventory planning model while determining how frequently the inventory planning model is calibrated and how the inventory planning model is calibrated.

Feedback control theoretic parts inventory management model

Methods, systems and computer program products for supporting supply chain facility performance analysis. Methods include maintaining supply chain facility configuration information for a plurality of supply chain facilities. The method also includes identifying variables that are attributed to performance of the supply chain facilities. Data corresponding to one or more of the variables for selected supply chain facilities in the plurality of supply chain facilities is collected. Performance analysis is performed for the selected supply chain facilities using the data as input. The performance analysis includes executing a data envelope analysis (DEA) based three-stage performance analysis model, executing a statistical analysis and executing a sensitivity analysis. The results of the performance analysis are output. The results include a performance ranking of the selected supply chain facilities, a prescription for performance improvement, a correlation analysis, and a sensitivity analysis.

Supply chain facility performance analyzer

Growing community of inventors

Rochester, MI, United States of America

Jeffrey Tew