scholarly journals A Similarity-Based Hierarchical Clustering Method for Manufacturing Process Models

2019 ◽  
Vol 11 (9) ◽  
pp. 2560
Author(s):  
Hyun Ahn ◽  
Tai-Woo Chang
Keyword(s):  
Hierarchical Clustering ◽  
Operations Management ◽  
Manufacturing Process ◽  
Manufacturing Industry ◽  
Clustering Algorithm ◽  
Process Models ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Agglomerative Clustering ◽  
Clustering Method

As the adoption of information technologies increases in the manufacturing industry, manufacturing companies should efficiently manage their data and manufacturing processes in order to enhance their manufacturing competency. Because smart factories acquire processing data from connected machines, the business process management (BPM) approach can enrich the capability of manufacturing operations management. Manufacturing companies could benefit from the well-defined methodologies and process-centric engineering practices of this BPM approach for optimizing their manufacturing processes. Based on the approach, this paper proposes a similarity-based hierarchical clustering method for manufacturing processes. To this end, first we describe process modeling based on the BPM-compliant standard so that the manufacturing processes can be controlled by BPM systems. Second, we present similarity measures for manufacturing process models that serve as a criterion for the hierarchical clustering. Then, we formulate the hierarchical clustering problem and describe an agglomerative clustering algorithm using the measured similarities. Our contribution is considered on the assumption that a manufacturing company adopts the BPM approach and it operates various manufacturing processes. We expect that our method enables manufacturing companies to design and manage a vast amount of manufacturing processes at a coarser level, and it also can be applied to various process (re)engineering problems.

Research on NMF Based Hierarchical Clustering Methods

2010 ◽  
Vol 439-440 ◽  
pp. 1306-1311
Author(s):  
Fang Li ◽  
Qun Xiong Zhu
Keyword(s):  
Hierarchical Clustering ◽  
Clustering Algorithm ◽  
Clustering Methods ◽  
Agglomerative Clustering ◽  
Clustering Method ◽  
Hierarchical Agglomerative Clustering ◽  
Hierarchical Clustering Methods

LSI based hierarchical agglomerative clustering algorithm is studied. Aiming to the problems of LSI based hierarchical agglomerative clustering method, NMF based hierarchical clustering method is proposed and analyzed. Two ways of implementing NMF based method are introduced. Finally the result of two groups of experiment based on the TanCorp document corpora show that the method proposed is effective.

scholarly journals A hierarchical clustering method for random intervals based on a similarity measure

2021 ◽  
Author(s):  
Ana Belén Ramos-Guajardo
Keyword(s):  
Hierarchical Clustering ◽  
Similarity Measure ◽  
Clustering Algorithm ◽  
Real Life ◽  
Stopping Criterion ◽  
Clustering Method ◽  
Bootstrap Test ◽  
Empirical Performance ◽  
Random Intervals ◽  
Expected Values

AbstractA new clustering method for random intervals that are measured in the same units over the same group of individuals is provided. It takes into account the similarity degree between the expected values of the random intervals that can be analyzed by means of a two-sample similarity bootstrap test. Thus, the expectations of each pair of random intervals are compared through that test and a p-value matrix is finally obtained. The suggested clustering algorithm considers such a matrix where each p-value can be seen at the same time as a kind of similarity between the random intervals. The algorithm is iterative and includes an objective stopping criterion that leads to statistically similar clusters that are different from each other. Some simulations to show the empirical performance of the proposal are developed and the approach is applied to two real-life situations.

A Desktop Application for Sustainability Performance Assessment of Composed Unit-Based Manufacturing Systems

2017 ◽  
Author(s):  
Matteo M. Smullin ◽  
Zahra Iman ◽  
Karl R. Haapala
Keyword(s):  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Sustainability Assessment ◽  
Information Modeling ◽  
Process Models ◽  
System Level ◽  
Manufacturing Processes ◽  
Modeling Framework ◽  
Process Flow ◽  
Desktop Application

Life cycle assessment software packages such as SimaPro, GaBi, and Umberto have become well-established tools for conducting environmental impact analysis. However, applications for broader sustainability assessment are limited. Recent research has developed an information modeling framework to compose models of unit manufacturing processes for sustainability assessment and has led to the definition of unit manufacturing process information modeling concepts. An engineer can use the framework to conduct manufacturing system-level sustainability assessments by composing models of unit manufacturing processes. Assessment results can aid engineers in selecting the superior manufacturing process flow for a given product. To demonstrate usefulness of the information framework, a prototype desktop application has been developed. The application was implemented in Windows Project Foundation (WPF) using C# as the coding language to create a graphical user interface. Mathworks MATLAB serves as the calculation engine. Unit manufacturing process models follow the framework and are read by the application, which produces a sustainability assessment for the manufacturing process flow. A manufacturing process flow for an automobile-like metal product acts is used to demonstrate the software application.

scholarly journals Smart Process Optimization and Adaptive Execution with Semantic Services in Cloud Manufacturing ‡

2018 ◽  
Author(s):  
Luca Mazzola ◽  
Philipp Waibel ◽  
Patrick Kaphanke ◽  
Matthias Klusch
Keyword(s):  
Business Process ◽  
Process Analysis ◽  
Building Blocks ◽  
Process Models ◽  
Just In Time ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Time Service ◽  
Business Process Models ◽  
Service Oriented

A new requirement for the manufacturing companies in Industry 4.0 is to be flexible with respect to changes in demands, requiring them to react rapidly and efficiently on the production capacities. Together with the trend to use Service-Oriented Architectures (SOA), this requirement induces a need for agile collaboration among supply chain partners, but also between different divisions or branches of the same company. In order to address this collaboration challenge, we~propose a novel pragmatic approach for the process analysis, implementation and execution. This~is achieved through sets of semantic annotations of business process models encoded into BPMN 2.0 extensions. Building blocks for such manufacturing processes are the individual available services, which are also semantically annotated according to the Everything-as-a-Service (XaaS) principles and stored into a common marketplace. The optimization of such manufacturing processes combines pattern-based semantic composition of services with their non-functional aspects. This is achieved by means of Quality-of-Service (QoS)-based Constraint Optimization Problem (COP) solving, resulting in an automatic implementation of service-based manufacturing processes. The produced solution is mapped back to the BPMN 2.0 standard formalism by means of the introduced extension elements, fully detailing the enactable optimal process service plan produced. This approach allows enacting a process instance, using just-in-time service leasing, allocation of resources and dynamic replanning in the case of failures. This proposition provides the best compromise between external visibility, control and flexibility. In this way, it provides an optimal approach for business process models' implementation, with a full service-oriented taste, by implementing user-defined QoS metrics, just-in-time execution and basic dynamic repairing capabilities. This paper presents the described approach and the technical architecture and depicts one initial industrial application in the manufacturing domain of aluminum forging for bicycle hull body forming, where the advantages stemming from the main capabilities of this approach are sketched.

Study on Use of Information Technologies in Manufacturing Processes

2015 ◽  
Vol 795 ◽  
pp. 220-226
Author(s):  
Joanna Tabor
Keyword(s):  
Information Technology ◽  
Manufacturing Process ◽  
Information Technologies ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Process Automation ◽  
Work Safety ◽  
Industrial Processing ◽  
Average Value ◽  
Level Of Use

This paper contains analysis and assessment of use of information technologies in manufacturing processes performed over the years 2010-2013 by manufacturing companies that employ at least 10 employees. Although companies use many different information technology automation devices and tools, this paper is only focused upon manufacturing process automation devices, since these automation devices exert a significant impact upon improvement of work safety levels. As a result of this study, industrial processing sector’s divisions were identified with the highest level of use of determined automation devices in relation to the adopted average value for the industrial processing sector as a whole, and directions of changes were identified in the area of use of the particular automation devices in the analysed groups of manufacturing companies being active in Poland.

Developing a Capability-Based Similarity Metric for Manufacturing Processes

2017 ◽  
Author(s):  
Kevin Li ◽  
William Z. Bernstein
Keyword(s):  
Decision Making ◽  
Manufacturing Process ◽  
Product Life Cycle ◽  
Process Model ◽  
Die Casting ◽  
Process Models ◽  
Manufacturing Processes ◽  
Design Phase ◽  
Similarity Metric ◽  
On Line

Manufacturing taxonomies and accompanying metadata of manufacturing processes have been catalogued in both reference books and databases on-line. However, such information remains in a form that is uninformative to the various stages of the product life cycle, including the design phase and manufacturing-related activities. This challenge lies in the varying nature in how the data is captured and represented. In this paper, we explore measures for comparing manufacturing data with the goal of developing a capability-based similarity metric for manufacturing processes. To judge the effectiveness of these metrics, we apply permutations of them to 26 manufacturing process models, such as blow molding, die casting, and milling, that were created based on the ASTM E3012-16 standard. Furthermore, we provide directions towards the development of an aggregate similarity metric considering multiple capability features. In the future, this work will contribute to a broad vision of a manufacturing process model repository by helping ease decision-making for engineering design and planning.

Role of Modelling in the Development of High Performance Steels for Important Engineering Applications

2013 ◽  
Vol 794 ◽  
pp. 493-501
Author(s):  
Palla V. Sivaprasad ◽  
Narendra Girase ◽  
Supriya Sarkar ◽  
Olle Wijk
Keyword(s):  
Modeling And Simulation ◽  
Manufacturing Process ◽  
High Performance ◽  
Manufacturing Industry ◽  
Oil And Gas ◽  
Optimum Process ◽  
Manufacturing Processes ◽  
Tube Extrusion ◽  
Increasing Demand ◽  
Experimental Trials

Stainless steels of different types and grades are being developed world over to meet ever increasing demand for enhanced materials performance. Advanced stainless steel products have applications in a variety of industries including nuclear, defence, space, chemical, oil and gas, medical and appliance. It is understood that the properties of the alloys strongly depend not only on the chemical composition but also on their microstructure, which in turn depends on parameters in the manufacturing process. Therefore, the challenge to the manufacturing industry is not only selection of optimum composition but also relevant manufacturing processes to meet the requirements. Designing a manufacturing process and optimum process schedules using experimental trials is both time consuming and expensive. Modeling and simulation play an important role to reduce these times effectively. This paper presents important points to be considered to produce clean steels and highlights the applicability of modeling techniques that can be effectively applied in a manufacturing industry. Some of the case studies that are included in the paper are Computational Fluid Dynamics model to understand gas atomisation Finite element modeling of compound tube extrusion In conclusion, the power of modeling and simulation to understand manufacturing processes is highlighted.

Unit Manufacturing Process Models for Ferromagnetic and Non-Ferromagnetic Alloy Surface Inspection Methods

2015 ◽  
Author(s):  
Ian C. Garretson ◽  
Kevin W. Lyons ◽  
Mahesh Mani ◽  
Swee Leong ◽  
Matthew D. Carter ◽  
...  
Keyword(s):  
Continuous Improvement ◽  
Manufacturing Process ◽  
Performance Metrics ◽  
Process Models ◽  
Manufacturing Processes ◽  
Mathematical Basis ◽  
Sustainability Performance ◽  
Ferromagnetic Alloys ◽  
Individual Unit ◽  
Aircraft Component

Industrial use of natural resources are increasing at an alarming rate. Engineering and decision support tools are needed for analyzing and curbing industrial consumption of resources. Further, assessment methods to measure and indicate continuous improvement are also needed. Modeling individual manufacturing processes facilitates the generation of quantifiable evidence that improvements are being made. Such a modeling approach is developed and demonstrated in this paper to characterize sustainability performance of two metals inspection processes: magnetic particle inspection for ferromagnetic alloys and penetrant inspection for non-ferromagnetic alloys. Individual unit manufacturing process (UMP) models were developed by observing the inspection practices at an aircraft component manufacturer, and a mathematical basis for comparison with other inspection processes was identified. The paper further demonstrates the aggregation of performance metrics from all UMPs across a manufacturing process flow thus providing a basis for generating detailed sustainability performance assessments of manufactured products. By developing and documenting a comprehensive set of UMP models, more complete knowledge of manufacturing processes can be gained by industry practitioners, leading to continuous improvement of sustainability performance.

scholarly journals Partial Context Similarity of Gene/Proteins in Leukemia Using Context Rank Based Hierarchical Clustering Algorithm

2015 ◽  
Vol 5 (3) ◽  
pp. 483
Author(s):  
Shahana Bano ◽  
K.Rajasekara Rao
Keyword(s):  
Natural Language Processing ◽  
Hierarchical Clustering ◽  
Language Processing ◽  
Large Scale ◽  
Protein Identification ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Filtering Algorithm ◽  
Context Similarity ◽  
Hierarchical Clustering Algorithm

In this paper we proposed a method which avoids the choice of natural language processing tools such as pos taggers and parsers reduce the processing overhead. Moreover, we suggest a structure to immediately create a large-scale corpus annotated along with disease names, which can be applied to train our probabilistic model. In this proposed work context rank based hierarchical clustering method is applied on different datasets namely colon, Leukemia, MLL medical diseases. Optimal rule filtering algorithm is applied on these datasets to remove unwanted special characters for gene/protein identification. Finally, experimental results show that proposed method outperformed existing methods in terms of time and clusters space.

scholarly journals Smart Process Optimization and Adaptive Execution with Semantic Services in Cloud Manufacturing

2018 ◽  
Author(s):  
Luca Mazzola ◽  
Philipp Waibel ◽  
Patrick Kaphanke ◽  
Matthias Klusch
Keyword(s):  
Business Process ◽  
Process Analysis ◽  
Building Blocks ◽  
Process Models ◽  
Just In Time ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Time Service ◽  
Business Process Models ◽  
Service Oriented

A new requirement for the manufacturing companies in Industry 4.0 is to be flexible with respect to changes in demands, requiring them to react rapidly and efficiently on the production capacities. Together with the trend to use Service-Oriented Architectures (SOA), this requirement induces a need for agile collaboration among supply chain partners, but also between different divisions or branches of the same company. In order to address this collaboration challenge, we propose a novel pragmatic approach for the process analysis, implementation and execution. This is achieved through sets of semantic annotations of business process models encoded into BPMN 2.0 extensions. Building blocks for such manufacturing processes are the individual avaialble services, which are also semantically annotated according to the Everything-as-a-Service (XaaS) principles and stored into a common marketplace. The optimization of such manufacturing processes combines pattern-based semantic composition of services with their non-functional aspects. This is achieved by means of Quality-of-Services (QoS) based constraint optimization problem (COP) solving, resulting in an automatic implementation of service-based manufacturing processes. The produced solution is mapped back to the BPMN 2.0 standard formalism by the means of introduced extension elements, fully detailing the enactable optimal process service plan produced. This approach allows enacting a process instance, using just-in-time service leasing, allocation of resources, and dynamic replanning in case of failures. This proposition provides the best compromise between external visibility, control and flexibility. In this way, it provides an optimal approach for business process models implementation, with a full service-oriented taste, by implementing user-defined QoS metrics, just-in-time execution and basic dynamic repairing capabilities. This paper presents the described approach, the technical architecture and depicts one initial industrial application in the manufacturing domains of aluminum forging for bicycle hull body forming, where the advantages stemming from the main capabilities of this approach are sketched.

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