A Metadata Based Manufacturing Resource Registration Approach for Extrusion Equipment in Cloud Manufartacturing

2021 ◽  
Author(s):  
Yue Liu ◽  
Youling Chen
Keyword(s):  
Manufacturing Resource

Deep learning and complex network theory based analysis on socialized manufacturing resources utilisations and an application case study

2021 ◽  
pp. 1063293X2110031
Author(s):  
Maolin Yang ◽  
Auwal H Abubakar ◽  
Pingyu Jiang
Keyword(s):  
Deep Learning ◽  
Complex Network ◽  
Network Models ◽  
Neural Network Models ◽  
Complex Network Theory ◽  
New Type ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Resource Characteristics

Social manufacturing is characterized by its capability of utilizing socialized manufacturing resources to achieve value adding. Recently, a new type of social manufacturing pattern emerges and shows potential for core factories to improve their limited manufacturing capabilities by utilizing the resources from outside socialized manufacturing resource communities. However, the core factories need to analyze the resource characteristics of the socialized resource communities before making operation plans, and this is challenging due to the unaffiliated and self-driven characteristics of the resource providers in socialized resource communities. In this paper, a deep learning and complex network based approach is established to address this challenge by using socialized designer community for demonstration. Firstly, convolutional neural network models are trained to identify the design resource characteristics of each socialized designer in designer community according to the interaction texts posted by the socialized designer on internet platforms. During the process, an iterative dataset labelling method is established to reduce the time cost for training set labelling. Secondly, complex networks are used to model the design resource characteristics of the community according to the resource characteristics of all the socialized designers in the community. Two real communities from RepRap 3D printer project are used as case study.

Research on Mass Manufacturing Resource Sensory Data Management Based on Hadoop

2016 ◽  
Vol 693 ◽  
pp. 1880-1885 ◽  
Author(s):  
Kai Kai Su ◽  
Wen Sheng Xu ◽  
Jian Yong Li
Keyword(s):  
Distributed Storage ◽  
Cloud Manufacturing ◽  
Distributed File System ◽  
Service Platform ◽  
Sensory Data ◽  
Computing Model ◽  
Hadoop Distributed File System ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Management Method

Aiming at the management issue of mass sensory data from the manufacturing resources in cloud manufacturing, a management method for mass sensory data based on Hadoop is proposed. Firstly, characteristics of sensory data in cloud manufacturing are analyzed, meanings and advantages of Internet of Things and cloud computing are elaborated. Then the structure of the cloud manufacturing service platform is proposed based on Hadoop, the information model of manufacturing resources in cloud manufacturing is defined, and the data cloud in the cloud manufacturing service platform is designed. The distributed storage of mass sensory data is implemented and a universal distributed computing model of mass sensory data is established based on the characteristics of Hadoop Distributed File System (HDFS).

Research of Cloud Manufacturing Technology in the Development of Digital Intelligent Production Control Platform

2014 ◽  
Vol 644-650 ◽  
pp. 3241-3244
Author(s):  
Ge Li Feng
Keyword(s):  
Production Control ◽  
Production Condition ◽  
Resource Planning ◽  
Cloud Manufacturing ◽  
Manufacturing Technology ◽  
Theory Of Constraints ◽  
Manufacturing Resource Planning ◽  
The Status ◽  
Nc Machine ◽  
Manufacturing Resource

This paper focuses on the application of cloud manufacturing technology in the development of digital intelligent production control platform. Combined with the characteristics of NC machine shop, using the cloud manufacturing technology, the intelligent scheduling of production plan based on the theory of constraints, and multi-objective scheduling optimization technology, developed the target task balance optimization, manufacturing resource planning, equipment load balance module etc., achieved tracking and monitoring of the status of schedule, completion, production etc., ensure the statistics and analysis of production data correct and complete, and provide the basis for evaluation of production condition.

Representation and Exchange of Digital Catalogues of Cutting Tools

2014 ◽  
Author(s):  
Yujiang Li ◽  
Qiuling Huang ◽  
Mikael Hedlind ◽  
Gunilla Sivard ◽  
Magnus Lundgren ◽  
...  
Keyword(s):  
System Architecture ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Cloud Manufacturing ◽  
Software Systems ◽  
Semantic Classification ◽  
Product Models ◽  
Important Research Topic ◽  
Manufacturing Resource ◽  
General Product

Information management for manufacturing resources such as cutting tools is an important research topic in the context of cloud manufacturing. Vendors and customers usually use catalogues to communicate information for such manufacturing resource. Incompatibilities of information in syntax, semantics, and structure among supply chains often result in inefficient manual sharing and management of the catalogue information. It is difficult for cloud based applications to pool information from various sources. This communication failure calls for a system neutral solution for data modeling and exchange to enhance interoperability of the cutting tool catalogue information. Previous studies has present solutions for representation of the cutting tool information with STEP AP242 (ISO/DIS 10303-242) with semantic classification referring to a PLib (ISO 13584, Part Library) based dictionary. This approach can be extended for the catalogue modeling, due to functionalities for specification and configuration control of general product variants in the same standard. With a modeling approach with standardized information schemas, system architecture to guide implementation is proposed to enhance the communication in practice. Relative elements to represent vendors’ catalogues and customers’ requirements are modeled. Associations to the PLib-based dictionary complete semantics and enable information mapping between vendors and customers. Principles of the mapping are identified to facilitate implementation of related software systems. Prototypes are developed to verify the proposed system architecture. The proposed solution is promising to migrate to other types of products than cutting tools, because the data models are based on the general product models defined in AP242.

A retrospective overview of Journal of Enterprise Information Management using bibliometric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Naveen Donthu ◽  
Gaurav Kumar Badhotiya ◽  
Satish Kumar ◽  
Gunjan Soni ◽  
Nitesh Pandey
Keyword(s):  
Retrospective Analysis ◽  
Information Management ◽  
Descriptive Analysis ◽  
Resource Planning ◽  
Enterprise Information ◽  
Content Type ◽  
Regression Methods ◽  
Manufacturing Resource Planning ◽  
Manufacturing Resource ◽  
The Impact

PurposeJournal of Enterprise Information Management (JEIM) is a leading journal that publishes studies on applied information management relevant to industry personals, academicians and researchers. This study uses bibliometric tools to present a retrospective analysis of the journal's outcomes.Design/methodology/approachThe authors applied bibliometric tools for analysing the impact, topic coverage, renowned authors with affiliation, citation, methodology and analysis of the JEIM corpus. Additionally, they used bibliographic coupling to develop a graphical visualisation and analyse the journal's thematic evolution.FindingsWith 16 yearly articles, JEIM contributed 656 research articles on various themes. The major themes that have come to define the JEIM over this time include information and systems, supply chain management, manufacturing resource planning, communication technologies and small- to medium-sized enterprises. Empirical methodology, quantitative techniques with descriptive analysis and regression methods are the most preferred. The article's primary research purpose shows the majority of theory-verifying articles. Co-authorship analysis reveals that the single-author trend is decreasing and the journal now has articles with international collaborations.Originality/valueThis study is the retrospective analysis of the JEIM, which is useful for aspiring contributors and the journal's editors.

Enterprise Resource Planning and Integration

2010 ◽  
pp. 1263-1271
Author(s):  
Karl Kurbel
Keyword(s):  
Enterprise Resource Planning ◽  
Closed Loop ◽  
Resource Planning ◽  
Production Program ◽  
Mrp Ii ◽  
Manufacturing Resource Planning ◽  
Comprehensive Information ◽  
Floor Control ◽  
Manufacturing Resource ◽  
Proper Material

Enterprise resource planning (ERP) is a state-of-the-art approach to running organizations with the help of comprehensive information systems, providing support for key business processes and more general, for electronic business (e-business). ERP has evolved from earlier approaches, in particular, materials requirement planning (MRP) and manufacturing resource planning (called MRP II) in the 1980s. The focus of MRP and MRP II was on manufacturing firms. The essential problem that MRP attacked was to determine suitable quantities of all parts and materials needed to produce a given master production schedule (also called a “production program”), plus the dates and times when those quantities had to be available. Application packages for MRP have been available from the 1960s on. In the beginning, they were mostly provided by hardware vendors like IBM, Honeywell Bull, Digital Equipment, Siemens, etc. MRP was later expanded to closed-loop MRP to include capacity planning, shop floor control, and purchasing, because as Oliver Wight (1884) puts it: “Knowing what material was needed was fine, but if the capacity wasn’t available, the proper material couldn’t be produced” (p. 48). The next step in the evolution was MRP II (manufacturing resource planning). According to the father of MRP II, Oliver Wight, top management involvement in the planning is indispensable. Therefore, MRP II expands closed-loop MRP “to include the financial numbers that management needs to run the business and a simulation capability” (Wight, 1984, p. 54). Enterprise resource planning (ERP) has its roots in the earlier MRP II concepts, but it extends those concepts substantially into two directions. ERP takes into account that other types of enterprises than those producing physical goods need comprehensive information system (IS) support as well, and even in the manufacturing industry, there are more areas than those directly related to the production of goods that are critical for the success of a business.

Coordination and Optimization of Large Equipment Complete Service in Cloud Based Manufacturing

2017 ◽  
Vol 13 (4) ◽  
pp. 56-71 ◽  
Author(s):  
Xiaochun Sheng ◽  
Kefeng Wang
Keyword(s):  
Theoretical Basis ◽  
Scientific Method ◽  
Cloud Manufacturing ◽  
Collaborative Optimization ◽  
Collaborative Management ◽  
Manufacturing Resource ◽  
The Stability ◽  
And Control ◽  
Manufacturing Mode ◽  
Resource Service

The paper studies the cloud manufacturing service platform and mode in the coordination and optimization of large equipment complete service (LECS). A set of theory based system of coordination and optimization is systematically established to support and implement LECS' cloud manufacturing mode. The research results show that the collaborative logic framework proposed is of macro guidance significance; the composite synergy mechanism system designed realizes all-round cooperative target; the collaborative optimization model and algorithm established have validity and practicality through instance verification. It systematically realizes the collaborative management of resource choice and optimizing configuration, the plan and control in the process of service, and so on. It can ensure the stability of manufacturing resource service seamless, green, environmental protection, and high quality. It achieves optimization of the overall system coordination. The study also provides a theoretical basis and scientific method for large equipment enterprise from manufacturer to a service integrator transformation.

Sign in / Sign up

Export Citation Format

Share Document