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Business Modeling / Operation Research / Big Data Analytics, 2017
Viewing 1 to 17 of 17
The Effect Factors and Location Planning Method Study of a Novel Car-Sharing Network
Author(s): Mi, J., Jie, H., Zhu, H., Liu, H. et al.
Abstract With the development of the Internet for vehicles, the Car-sharing has been developed rapidly in recent years. This paper focuses on the network programming and distribution for Car-sharing, ....
Engineering Productivity Increase with Organization Architectures
Author(s): Koark, F. and Korandla, A.
Abstract Motivation - Ambiguous product targets, a global market, innovation pressure, changing process requirements and limited resources describe the situation for engineering management in the most....
Big Data Analytics: How Big Data is Shaping Our Understanding of Electrified Vehicle Customers
Author(s): Ahmed, N. and Kapadia, J.
Abstract Electrified vehicles including Battery Electric Vehicles (BEVs) and Plug-In Hybrid Vehicles (PHEVs) made by Ford Motor Company are fitted with a telematics modem to provide customers with the....
Cost-Effective Reduction of Greenhouse Gas Emissions via Cross-Sector Purchases of Renewable Energy Certificates
Author(s): Miao, S., Chao, X., Tamor, M., Fu, Y. et al.
Abstract Over half of the greenhouse gas (GHG) emissions in the United States come from the transportation and electricity generation sectors. To analyze the potential impact of cross-sector cooperati....
Gain Customer Insights Using NLP Techniques
Author(s): Akella, K., Venkatachalam, N., Gokul, K., Choi, K. et al.
Abstract Voice of customer is typically captured through multiple connect points like surveys, warranty claims, social media, and so on. Customer verbatim is collected through these connect points to ....
An Optimization Model for Reallocating Stamped Parts
Author(s): Lyon, J., Park, J., Fradkin, Y., and Tornabene, J.
Abstract We describe an optimization model developed by Ford Motor Company to reallocate stamped parts between facilities when business conditions change. How can the business meet new targets when de....
Analyzing Customer Preference to Product Optional Features in Supporting Product Configuration
Author(s): Sha, Z., Saeger, V., Wang, M., Fu, Y. et al.
Abstract For achieving viable mass customization of products, product configuration is often performed that requires deep understanding on the impact of product features and feature combinations on cu....
Using an Assembly Sequencing Application to React to a Production Constraint: a Case Study
Author(s): Fradkin, Y., Cordonnier, M., Henry, A., and Newton, D.
Abstract Ford Motor Company’s assembly plants build vehicles in a certain sequence. The planned sequence for the plant’s trim and final assembly area is developed centrally and is sent to the plant se....
A Novel Approach to Create Dimensional Tolerance Requirements from Expert Knowledge
Author(s): Murari, T., Ungaretti, P., and Moret, M.
Abstract Geometric Dimensioning and Tolerancing is used to describe the allowed feature variations regarding the product design. Tolerance specification is important in many stages of all phases on pr....
A Cost-Effective Offline Routing Optimization Approach to Employee Shuttle Services
Author(s): Zhao, Y., Zhou, H., and Liu, Y.
Abstract Ride Hailing service and Dynamic Shuttle are two key smart mobility practices, which provide on-demand door-to-door ride-sharing service to customers through smart phone apps. On the other ha....
Big Data Analysis of Battery Charge Power Limit Impact on Electric Vehicle Driving Range while Considering Driving Behavior
Author(s): Bryan, S., Guido, M., Ostrowski, D., and Ahmed, N.
Abstract It is desirable to find methods to increase electric vehicle (EV) driving range and reduce performance variability of Plug-in Hybrid Electric Vehicles (PHEV). One strategy to improve EV range....
Predictive Analytics in Automobile Industry: A Comparison between Artificial Intelligence and Econometrics
Author(s): Shalini, V., Krishnamurthy, S., and Narasimhan, S.
Abstract This study compares the model efficacy of Neural Network and Vector Auto Regression. Further it also analyses the impact of predictors controlling for total industry volume. Understanding bot....
Planning Flexible Maintenance for Heavy Trucks using Machine Learning Models, Constraint Programming, and Route Optimization
Author(s): Biteus, J. and Lindgren, T.
Abstract Maintenance planning of trucks at Scania have previously been done using static cyclic plans with fixed sets of maintenance tasks, determined by mileage, calendar time, and some data driven p....
Statistical Characterization, Pattern Identification, and Analysis of Big Data
Author(s): Wei, Z. and Nikbin, K.
In the Big Data era, the capability in statistical and probabilistic data characterization, data pattern identification, data modeling and analysis is critical to understand the data, to find....
Customer Data Driven PHEV Refuel Distance Modeling and Estimation
Author(s): Gong, Q. and Kapadia, J.
Abstract Plug-in hybrid electric vehicles (PHEV) have an EV mode driving range which can cover a portion of customer daily driving. This EV mode range affects the refuel frequency substantially compar....
A Data-Driven Diagnostic System Utilizing Manufacturing Data Mining and Analytics
Author(s): Guo, W., Guo, S., Wang, H., Yu, X. et al.
Abstract The wide applications of automatic sensing devices and data acquisition systems in automotive manufacturing have resulted in a data-rich environment, which demands new data mining methodologi....
Utilizing Public Vehicle Travel Survey Data Sets for Vehicle Driving Pattern and Fuel Economy Studies
Author(s): Khemri, N., Ying, H., Supina, J., and Syed, F.
Abstract Realistic vehicle fuel economy studies require real-world vehicle driving behavior data along with various factors affecting the fuel consumption. Such studies require data with various vehic....
Viewing 1 to 17 of 17