Neural network application for time standards setting in assembly and disassembly
More details
Hide details
University of Bielsko-Biała, Bielsko-Biała, Poland
Submission date: 2020-04-03
Acceptance date: 2020-07-02
Online publication date: 2020-09-25
Publication date: 2020-09-25
Journal of Machine Engineering 2020;20(3):106–116
Time standards belong to the key indicators of production process effectiveness. The paper discusses time standard setting in the production process. One of the important stages of the production process is assembly, which is a crucial stage in case of manufacturing customized products. The aim of the article is to show the methods of time standard setting which facilitate assembly planning. Specific goals of the article are focused on finding common attributes useful in assembly tasks characteristics and changeover, as well as finding value intervals helpful in assembly description. Shortening the product lifecycle, new product development and product customization bring about the development of a modular reconfigurable assembly line. The development of flexible assembly lines requires standards related to typical assembly tasks and tools. Reconfiguration and balancing assembly lines require a knowledge base related to time standards. This article presents examples of typical tasks, tools and time standards for planning product assembly and changeover which use the assembly and disassembly processes.
GUDEHUS T., KOTZAB H., 2009, Comprehensive Logistics, Springer-Verlag Berlin Heidelberg, DOI: 10.1007/978-3-642-24367-7.
SCHEDIN J., SVENSSON-HARARI N., JACKSON M., DELERYD M., 2016, Management of Newness in an Assembly System, Journal of Machine Engineering, 16/1, 92–108.
GORSKI F., ZAWADZKI P., HAMROL A. 2016, Knowledge Based Engineering As a Condition of Effective Mass Production of Configurable Products by Design Automation, Journal of Machine Engineering, 16/4, 5–30.
MÜLLER R., ESSER M., EILERS J., 2013, Assembly Oriented Design Method for Reconfigurable Processes and Equipment, In Schuh G., Neugebauer R., Uhlmann E. (eds) Future Trends in Production Engineering, Springer, Berlin, Heidelberg.
KANG X., PENG Q., 2014, Integration of CAD Models with Product Assembly Planning in a Web-based 3D Visualized Environment, Int. J. Interact. Des. Manuf., 8, 121–131.
MITAL A., DESAI A., SUBRAMANIAN A., MITAL A., 2014, Product Development, Elsevier, ISBN: 9780127 999456.
CHAN A.H.S., HOFFMANN E.R., CHUNG C.M.W., 2017, Subjective Estimates of Times for Assembly Work. International Journal of Industrial Ergonomics, 61, 149–155.
COHEN Y., SINGER G., GOLAN M., GOREN-BAR D., 2013, Automating the Transformation from a Prototype to a Method of Assembly, in K. Elleithy and T. Sobh (eds.), Innovations and Advances in Computer, Information, Systems Sciences, and Engineering, Lecture Notes in Electrical Engineering 152, DOI: 10.1007/978-1-4614-3535-8_8, Springer Science+Business Media New York.
RITCHIE J.M., SUNG R.C.W., ROBINSON G., DAY P.N., DEWAR R.G., CORNEY J.R., SIMMONS J.E.L. 2008, Automated Design Analysis, Assembly Planning and Motion Study Analysis Using Immersive Virtual Reality. In D. Talabă and A. Amditis (eds.), Product Engineering: Tools and Methods Based on Virtual Reality, 485–506, Springer Science + Business Media B.V.
LIU X., NI Z., LIU J., CHENG Y., 2016, Assembly Process Modeling Mechanism Based on the Product Hierarchy, Int. J. Adv. Manuf. Technol., 82, 391–405.
LI J.R., WANG Q.H., HUANG P., SHEN H.Z. 2010, A Novel Connector-Knowledge-Based Approach for Disassembly Precedence Constraint Generation, Int. J. Adv. Manuf. Technol., 49, 293–304.
BOBKA P., HEYN J., HENNINGSON J.O., RÖMER M., ENGBERS T., DIETRICH F., DRÖDER K., 2018, Development of an Automated Assembly Process Supported With an Artificial Neural Network, Journal of Machine Engineering, 18/3, 28–41.
VOSNIAKOS G.C., TSIFAKIS A., BENARDOS P., 2006, Neural Network Simulation Metamodels and Genetic Algorithms in Analysis and Design of Manufacturing Cells, Int. J. Adv. Manuf. Technol. 29. 541–550.
EIGNER M., ERNST J., ROUBANOV D., DEUSE J., SCHALLOW J., EROHIN O., 2013, Product Assembly Information to Improve Virtual Product Development, In Abramovici M., Stark R. (eds) Smart Product Engineering, Lecture Notes in Production Engineering, Springer, Berlin, Heidelberg.
ALBERS A., SAUER B., STEINHILPER W., 2008, Konstruktionselemente des Maschinenbaus, Springer, Berlin.
ZHANG Q.J., GUPTA K.C., 2000, Neural Networks for RF and Microwave Design, Artech House, USA.
LEE N., AN Y., TSUNG F., 2005, Studying Effects of Screw-Fastening Process on Assembly Accuracy, Int. J. Adv. Manuf. Technol.. 25, 493,
GROOVER M.P., 2006, Work Systems: The Methods, Measurement & Management of Work, Prentice-Hall.
AFT L.S., 2000, Work Measurement and Methods Improvement, Wiley.
NIEBEL B., FREIVALDS A., 2008, Methods, Standards and Work Design, McGraw-Hill.
CHAN A.H.S., HOFFMANN E.R., 2013, Subjective Difficulty of Movements with Ongoing Visual Control. J. Mot. Behav., 45/6, 507–517.
CHAN A.H.S., HOFFMANN E.R., 2016, Subjective Estimation of Task Time and Task Difficulty of Simple Movement Tasks, J. Mot. Behav., 49, 185–199.