Computational evaluation of complexity parameters of machining and manufacturing system (Record no. 28429)

MARC details
000 -LEADER
fixed length control field 04523nam a22002537a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240129170129.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240129b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency TUPM
Language of cataloging eng
Transcribing agency -
Description conventions rda
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number DIS T 185
Item number L5 2023
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Li Jialin
245 ## - TITLE STATEMENT
Title Computational evaluation of complexity parameters of machining and manufacturing system
Statement of responsibility, etc. / Li Jialin
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Manila
Name of producer, publisher, distributor, manufacturer TUP
Date of production, publication, distribution, manufacture, or copyright notice 2023
300 ## - PHYSICAL DESCRIPTION
Extent 180 p.
Other physical details color illustration
Dimensions 28 cm.
Accompanying material +1 CD-ROM (4¾inches)
336 ## - CONTENT TYPE
Source rdacontent
337 ## - MEDIA TYPE
Source rdamedia
338 ## - CARRIER TYPE
Source rdacarrier
500 ## - GENERAL NOTE
General note Dissertation
502 ## - DISSERTATION NOTE
Dissertation note College of Industrial Education (CIE)
Degree type Doctor of Technology (DT)
Name of granting institution Technological University of the Philippines
Year degree granted 2023
520 3# - SUMMARY, ETC.
Summary, etc. "Green manufacturing is the core issue that the manufacturing industry must adhere to, but also one of the important paths of sustainable development, it plays a decisive role in the equipment manufacturing industry and the national economy. With the continuous development of manufacturing technology, the reasonable establishment of manufacturing control system complexity has become a prerequisite for giving full play to the advantages of advanced manufacturing technology, and is also one of the research hotspots in the field of production operation management. To minimize the difficulty of enterprise management and improve enterprise efficiency in the development of automation and self-actualization, it is necessary to take system complexity as a consideration factor in layout evaluation in the stage of system layout design. In this paper, based on the study of the complexity of machining manufacturing system, on the basis of satisfying the green manufacturing and manufacturing process, the complexity of machining manufacturing system in the process of production organization is deeply studied. By measuring the complexity of different layout schemes, the layout of the factory is evaluated, and the optimal scheme is obtained. (1) By summarizing the considerations of equipment layout evaluation in previous studies, it is pointed out that it is necessary to evaluate equipment layout scheme through system complexity. Based on the previous research on the complexity of machining manufacturing system, it is proposed to measure the complexity of machining manufacturing system by the complexity of process, and then evaluate the difference of different equipment layout. (2) Through the analysis of the analysis sources of factors affecting processing and manufacturing, the research framework of the complexity of machining and manufacturing system is proposed. On the premise of considering the complexity of the process, the complexity of machining and manufacturing system in the process of production organization is studied. The measurement methods of the complexity of one person and many machines, the complexity of operation and the complexity of decision are given by comprehensively considering the problem of one person and many machines in the system. the problem of multi-type product processing and the behavior process of workers in the production process. By redefining the complexity of the machining and manufacturing system, the differences of the complexity of the production organization are considered comprehensively, and then the differences of equipment layout are evaluated. (3) Establish an evaluation model, and use developed a software to program the model and verify the results. (4) Combined with the case of the machining and manufacturing system of the main parts of the two-stage deceleration, using the developed software for plane drawing, using SOLIDWORKS for factory simulation planning, the two methods proposed above are applied in practice, and the results obtained by the two methods are compared and analyzed. It is reasonable to measure the complexity of machining manufacturing system by considering the complexity of manufacturing process and production organization process. Through the production case of reducer parts, the proposed method is applied to the evaluation cases of different layout forms of the mechanical processing and manufacturing system of the part, which provides an effective decision-making basis for selecting the optimal equipment layout scheme of the manufacturing system. Author's abstract.<br/><br/>Keywords- Green manufacturing; Machine plus system: Complexity: <br/>Technological process; Layout evaluation. "<br/>
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Machining
-- Manufacturing
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Dissertation
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Inventory number Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification     TUP Manila Library TUP Manila Library Thesis Section-2nd floor 01/29/2024 DIS-2278   DIS T 185 L5 2023 c.1 DIS0002278 01/29/2024 01/29/2024 Dissertation



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