Toward Optimal Churn Management: A Partial Least Square (PLS) Model

In a very competitive mobile telecommunication industry business environment, marketing managers need a business intelligence model that allows them to maintain an optimal (at least a near optimal) level of churners very effectively and efficiently while minimizing the costs throughout their marketing programs. As a first step toward optimal churn management program for marketing managers, this paper focuses on building an accurate and concise predictive model for the purpose of churn prediction utilizing a Partial Least Square (PLS)-based methodology on highly correlated data sets among variables. A preliminary experiment demonstrates that the presented model provides more accurate performance than traditional prediction models and identifies key variables to better understand churning behaviors

Domain Reduction Strategy for Non Line of Sight Imaging

This paper presents a novel optimization-based method for non-line-of-sight (NLOS) imaging that aims to reconstruct hidden scenes under various setups. Our method is built upon the observation that photons returning from each point in hidden volumes can be independently computed if the interactions between hidden surfaces are trivially ignored. We model the generalized light propagation function to accurately represent the transients as a linear combination of these functions. Moreover, our proposed method includes a domain reduction procedure to exclude empty areas of the hidden volumes from the set of propagation functions, thereby improving computational efficiency of the optimization. We demonstrate the effectiveness of the method in various NLOS scenarios, including non-planar relay wall, sparse scanning patterns, confocal and non-confocal, and surface geometry reconstruction. Experiments conducted on both synthetic and real-world data clearly support the superiority and the efficiency of the proposed method in general NLOS scenarios

Mapping Strategic Goals and Operational Performance Metrics for Smart Manufacturing Systems

AbstractThe complexity of the relationship of strategic goals to operational performance across the many levels of a manufacturing system inhibits the realization of Smart Manufacturing Systems (SMS). This paper proposes a method for identifying what aspects of a manufacturing system should be addressed to respond to changing strategic goals. The method uses standard techniques in specifying a manufacturing system and the relationship between strategic goals and operational performance metrics. Two existing reference models related to manufacturing operations are represented formally and integrated to support the proposed method. The method is illustrated for a single scenario using agility as a strategic goal. By replicating the proposed method for other strategic goals and with multiple scenarios, a comprehensive set of performance challenges can be identified

SCULPTURED 포켓 가공을 위한 가공특징형상 추출

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Robust Anomaly Detection of Melt-Pool Monitoring for Laser Power Bed Additive Manufacturing Process

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A SUPPLIER DISCOVERY FRAMEWORK FOR EFFECTIVE AND EFFICIENT CONFIGURATION OF A SUPPLY CHAIN

A supplier registry can play a central role in configuring a global supply chain for service-oriented enterprise integration by providing an open platform for publishing and discovering suppliers distributed over Internet. The availability of correct classification schemes used to organize suppliers based on their capability descriptions is the key to building an effective registry. This paper discusses the clustering-based construction of classification schemes from existing capability descriptions of suppliers and then the registration and retrieval of suppliers based on these classification schemes. This approach is based on the use of similarity measures to discriminate any two suppliers’ capability descriptions. The results look promising in that small medium suppliers can expose themselves to the large companies in an efficient manner, while large companies can diversify their supply sources.&nbsp

Extraction of Behavioural Requirements for Simulation-based Performance Evaluation of Manufacturing Systems

A simulation model enables manufacturers to accurately evaluate the performance of their manufacturing systems. A vital input to build simulation models of manufacturing systems is the system behaviour, which is modelled based on extensive data on manufacturing systems and their elements. However, for outsourced manufacturing systems, data provided from external suppliers to manufacturers are generally limited and insufficient. Therefore, a solution is required to identify and secure system behaviour from available data. We propose herein a behaviour extraction process along with detailed activities and diagrams to extract system behaviour from limited data. By using the systems engineering standard ANSI/EIA-632, the proposed process systematically restructures available data on a manufacturing system and its elements and then provides complete system behaviour to build a simulation model. A case study on a cooling water control system in a hot strip mill convincingly demonstrates the applicability and effectiveness of the proposed process.11Nsciescopu

Assembly Sequence Determination from Design Data Using Voxelization

Determination of assembly sequence of components is a key issue in assembly operation. Although a number of articles dealing with assembly sequence determination have appeared, an efficient and general methodology for complex products has yet to appear. The objective of this paper is to present the problems and models used to generate assembly sequence from design data. An essential idea of this research is to acquire a finite number of voxels from any complex geometric entity, such as 3D planar polygons, hollow spheres, cylinders, cones, tori, etc. In order to find a feasible assembly sequence, the following four steps are needed: (1) The components composing of an assembly product are identified and then the geometric entities of each component are extracted. (2) The geometric entities extracted in the first step are translated into a number of voxels. (3) All the mating or coupling relations between components are found by considering relations between voxels. (4) The components to be disassembled are determined using CCGs (Component Coupling Graph).clos