Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Evaluation of techniques for manufacturing process analysis

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

In the last 20 years, several methodologies, models and tools have been developed for the analysis and optimisation of manufacturing systems in order to propose general improvements. Many of these techniques make extensive use of data modelling, simulation, decision-making support, expert systems and reference models. This paper presents the first outcome of a piece of research work to integrate manufacturing process analysis into an integrated modelling framework covering all aspects related to the shop-floor as it really is. The main methodologies and software tools have been identified and evaluated and the results tested on industrial examples. As a result of this evaluation it has been possible to identify the inefficiencies of the techniques. These problems are connected with integrating the different types of data to be analysed—such as quality, time, costs, resource capacity, productivity, flexibility or improvements—into a single analysis environment. The inefficiencies detected enable us to present a general framework for making better use of modelling techniques for manufacturing process analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • A. Al-Ahmari K. Ridway (1999) ArticleTitleAn integrated modelling method to support manufacturing systems analysis and design Computers in Industry 38 IssueID3 225–238 Occurrence Handle10.1016/S0166-3615(98)00094-3

    Article  Google Scholar 

  • Aquilano, N., Chase, R. (1991). Fundamentals of operations management. Irwin.

  • J. Barreiro J. Labarga A. Vizan J. Rios (2003) ArticleTitleInformation model for the integration of inspection activity in a concurrent engineering framework International Journal of Machine Tools & Manufacture 43 IssueID8 797–809 Occurrence Handle10.1016/S0890-6955(03)00060-9

    Article  Google Scholar 

  • A. Bilberg L. Alting (1994) ArticleTitleA systematic method for renewal of production technology Sessions on optimization of manufacturing systems. CIRP Annals 43 IssueID1 409–412

    Google Scholar 

  • M. Blosch J. Antony (1999) ArticleTitleExperimental design and computer-based simulation: a case study with the Royal Navy Managing Service Quality 9 IssueID5 311–319 Occurrence Handle10.1108/09604529910282481

    Article  Google Scholar 

  • Bosil, J., Giaglis, G., & Hlupic, V. (2000). IDEF diagrams and petri nets for business process modelling. In: Proceedings of the 2000 winter simulation conference (pp. 1676–1683).

  • R. Brennan B. Forough (1999) ArticleTitleA control frame work to support responsive manufacturing International Journal of Agile Manufacturing Systems 1 IssueID3 159–168 Occurrence Handle10.1108/14654659910296535

    Article  Google Scholar 

  • Busby, J. S. (1992). The value of advanced manufacturing technology. Butterworth–Heinemann.

  • A. Carrie R. Macintosh (1997) ArticleTitleAn assessment of GRAI grids and their use in the strathcycle integration method Production Planning and Control 8 IssueID2 106–113 Occurrence Handle10.1080/095372897235361

    Article  Google Scholar 

  • G.J. Colquhoun J.D. Gamble R.W. Braines (1989) ArticleTitleThe uses of IDEF0 to link design and manufacture in a CIM environment International Journal of Operations and Production Management 9 48–65 Occurrence Handle10.1108/EUM0000000001236

    Article  Google Scholar 

  • R. Smet ParticleDe L. Gelders (1997) ArticleTitleEvaluation of the role of waste in a truck manufacturing line using simulation Journal of Intelligent Manufacturing 8 IssueID5 449–458 Occurrence Handle10.1023/A:1018566417895

    Article  Google Scholar 

  • G. Doumeingts (1985) ArticleTitleHow to decentralise decision through GRAI model in production management Computers in Industry 6 IssueID6 501–514 Occurrence Handle10.1016/0166-3615(85)90031-4

    Article  Google Scholar 

  • G. Doumeingts B. Vallespir D. Chen (1995) ArticleTitleMethodologies for designing CIM system: a survey Computers in Industry 25 IssueID3 263–280 Occurrence Handle10.1016/0166-3615(94)00036-P

    Article  Google Scholar 

  • T.S. Felix J. Bing (2001) ArticleTitleThe applications of flexible manufacturing technologies in business process reengineering The International Journal of Flexible Manufacturing Systems 13 IssueID2 131–144 Occurrence Handle10.1023/A:1011179301118

    Article  Google Scholar 

  • H.A. Gabbar H. Yamashita K. Suzuki Y. Shimada (2003) ArticleTitleComputer aided RCM-based plant maintenance management system Robotics and Computer Integrated Manufacturing 19 IssueID5 449–458 Occurrence Handle10.1016/S0736-5845(03)00031-0

    Article  Google Scholar 

  • P. Girard G. Doumeingts (2004) ArticleTitleGRAI-engineering: a method to model, design an run engineering design departments International Journal of Computer Integrated Manufacturing 17 IssueID8 716–732 Occurrence Handle10.1080/0951192042000237492

    Article  Google Scholar 

  • Grabau, M. R., & Mauer, R. A. (1997). Using simulation to generate the data to balance an assembly line. In: Proceedings of the 1997 winter simulation conference (pp. 733–738).

  • R.E. Guiachetti (1999) ArticleTitleA standard manufacturing information model to support design for manufacturing in virtual enterprises Journal of Intelligent Manufacturing 10 IssueID1 49–60 Occurrence Handle10.1023/A:1008916530350

    Article  Google Scholar 

  • T. Guimaraes (1997) ArticleTitleEmpirically testing the antecedents of BPR success International Journal of Production Economics 50 IssueID2 65–68 Occurrence Handle10.1016/S0925-5273(97)00031-5

    Article  Google Scholar 

  • A. Gunasekaran B. Nath (1997) ArticleTitleThe role of information technology in business reengineering International Journal of Production Economics 5 IssueID2–3 91–104 Occurrence Handle10.1016/S0925-5273(97)00035-2

    Article  Google Scholar 

  • A. Gupta D.O. Stahl A.B. Whinston (1997) ArticleTitleA decentralised approach to estimate activity based costs and near-optimal resource allocation in flexible manufacturing systems International Journal of Flexible Manufacturing Systems 9 IssueID2 167–193 Occurrence Handle10.1023/A:1007919802284

    Article  Google Scholar 

  • G. Habchi C. Berchet (2003) ArticleTitleA model for manufacturing systems simulation with a control dimension Simulation Modelling 11 21–44 Occurrence Handle10.1016/S1569-190X(02)00097-7

    Article  Google Scholar 

  • Heredia, A. J. (1999). Indicator’s system to improving control process. Ph.D. Thesis. Alicante, Spain: Jaime I University.

  • V. Hlupic R.J. Paul (1999) ArticleTitleGuidelines for selection of manufacturing simulation software IEE Transactions on Design and Manufacturing 31 IssueID1 21–29

    Google Scholar 

  • L. Howard H. Lewis (2003) ArticleTitleThe development of a database system to optimise manufacturing processes during design Journal of Materials Processing Technology 134 IssueID3 374–382 Occurrence Handle10.1016/S0924-0136(02)01127-5

    Article  Google Scholar 

  • Z. Irani V. Hlupic L. Baldwin L. Love (2000) ArticleTitleReengineering manufacturing processes through simulation modelling Logistics Information Management 13 IssueID1 7–13 Occurrence Handle10.1108/09576050010306341

    Article  Google Scholar 

  • Y. Ito (2000) ArticleTitleAdaptative dynamic input–output analysis using neural networks Kybernetes 29 IssueID9 1087–1102 Occurrence Handle10.1108/03684920010342152

    Article  Google Scholar 

  • Jackson, T. (1996). Corporate diagnosis; setting the global standard for excellence. Productivity Press.

  • K. Jeong (2000) ArticleTitleConceptual frame for development of optimized simulation-based scheduling systems Expert Systems with Applications 18 IssueID4 299–306 Occurrence Handle10.1016/S0957-4174(00)00011-7

    Article  Google Scholar 

  • M. Jahangirian G.V. Conroy (2000) ArticleTitleIntelligent dynamic scheduling system: the application of genetic algorithms Integrated Manufacturing Systems 11 IssueID4 247–257 Occurrence Handle10.1108/09576060010326375

    Article  Google Scholar 

  • K.C. Johnny W.H. Ip T.C. Lee (1998) ArticleTitleThe development of an enterprise resources planning systems using a hierarchical design pyramid Journal of Intelligent Manufacturing 9 IssueID5 385–399 Occurrence Handle10.1023/A:1026409806874

    Article  Google Scholar 

  • H.W. Kang J.W. Kim S.J. Park (1998) ArticleTitleIntegrated modelling framework for manufacturing systems: A unified representation of the physical process and information system The International Journal of Flexible Manufacturing Systems 10 IssueID3 231–265 Occurrence Handle10.1023/A:1008073900676

    Article  Google Scholar 

  • C. Kim R. Weston A. Hodgson K. Lee (2003) ArticleTitleThe complementary use of IDEF and UML modelling approaches Computers in Industry 50 IssueID1 35–56 Occurrence Handle10.1016/S0166-3615(02)00145-8

    Article  Google Scholar 

  • A. Kusiak A. Zakarian (1996A) ArticleTitleA. Risk assessment of process models Computers Industrial Engineering 30 IssueID4 599–610 Occurrence Handle10.1016/0360-8352(95)00178-6

    Article  Google Scholar 

  • A. Kusiak A. Zakarian (1996b) ArticleTitleReability evaluation of process models IEEE Transactions and Components, Packaging, and Manufacturing Technology. Part A 19 268–275 Occurrence Handle10.1109/95.506113

    Article  Google Scholar 

  • O.B. Kwon J.J. Lee (2001) ArticleTitleA multi-agent intelligent system for efficient ERP maintenance Expert Systems with Applications 21 IssueID4 91–202 Occurrence Handle10.1016/S0957-4174(01)00039-2

    Article  Google Scholar 

  • A.W. Labib G.B. Williams R.F. O’Connor (1998) ArticleTitleAn intelligent maintenance model (system): an application of the analytic hierarchy process and a fuzzy logic rule-based controller Journal of the Operational Research Society 49 745–757 Occurrence Handle10.1038/sj.jors.2600542

    Article  Google Scholar 

  • D.C. Li C. Wu K.Y. Torng (1997) ArticleTitleUsing and unsupervised neural network and decision tree as knowledge acquisition tools for FMS scheduling International Journal of Systems Science 28 IssueID10 977–985

    Google Scholar 

  • Lingineni, M., Caraway, B., & Benhamin, P. C. (1995). A tutorial on Prosim: a knowledge-based simulation model design. In: Proceedings of the 1995 winter simulation conference (pp. 408–402).

  • Z. Ma W. Zhang W. Ma (2002) ArticleTitleExtending IDEF1X to model fuzzy data Journal of Intelligent Manufacturing 13 295–307 Occurrence Handle10.1023/A:1016028629702

    Article  Google Scholar 

  • Mayer, R. J., & White, P. (1991). BPR and modelling: using an engineering approach to mitigate risk. Knowledge Base Systems.

  • Mayer, R. J., & Menzel, C. P. (1995). Information integration for concurrent engineering (IICE) IDEF3 process description capture method report, Knowledge Based Systems Incorporated, Technical Report.

  • Miltenburg, J. (1995). Manufacturing strategy. Productivity Press.

  • A.B. Neely (1992) ArticleTitleA simulation study of bottleneck scheduling International Journal of Production Economics 26 187–192 Occurrence Handle10.1016/0925-5273(92)90062-C

    Article  Google Scholar 

  • NIST (1993). Integration definition for functional modelling (IDEF0). Federal Information Processing Standards Publications. FIPS PUB 183.

  • Ould, M. A. (1995). Business processes: Modelling and analysis for reengineering and improvement. John Wiley and Sons Inc.

  • P.C. Pendharkar (1999) ArticleTitleA computational study on design and performance issues of multi-agent intelligent systems for dynamic scheduling environments Expert Systems with Applications 16 IssueID2 121–133 Occurrence Handle10.1016/S0957-4174(98)00066-9

    Article  Google Scholar 

  • T. Perera K. Liyanage (2000) ArticleTitleMethodology for rapid identification and collection of input data in the simulation of the manufacturing systems Simulation Practice and Theory 7 IssueID1 645–656 Occurrence Handle10.1016/S0928-4869(99)00020-8

    Article  Google Scholar 

  • Rojas, F., & Martínez, A. I. (1998). From process modelling to enactment and simulation. In: Proceedings of the European simulation multiconference. Department of Computer Science, University of Manchester.

  • H. Rozenfeld F. Rentes W. Konig (1994) ArticleTitleWorkflow modelling for advanced manufacturing concepts. Sessions on optimisation of manufacturing systems CIRP Annals 43 IssueID1 385–388

    Google Scholar 

  • J. Sarkis D. Liles (1995) ArticleTitleUsing IDEF and QFD to develop and organizational decision support methodology for the strategic justification of computer-integrated technologies International Journal of Project Management 13 IssueID3 177–185 Occurrence Handle10.1016/0263-7863(94)00008-Z

    Article  Google Scholar 

  • R. Seidel (1998) ArticleTitleProductivity improvement in job shop production. Sessions on optimisation of manufacturing systems CIRP Annals 37 IssueID1 421–424 Occurrence Handle10.1016/S0007-8506(07)61668-0

    Article  Google Scholar 

  • Silver, B. (1997). BPR tools add power to workflow automation. Industry Insider Report.

  • T. Soon R. Souza (1997) ArticleTitleIntelligent simulation-based scheduling of work-cells: an approach Integrated Manufacturing Systems 9 IssueID3 6–23 Occurrence Handle10.1108/09576069710158754

    Article  Google Scholar 

  • E. Tillal P. Ray (2001) ArticleTitleEvaluation of tools for modelling manufacturing systems design with multiple levels of detail The International Journal of Flexible Manufacturing Systems 13 IssueID2 163–176 Occurrence Handle10.1023/A:1011183402027

    Article  Google Scholar 

  • Thompson, W. B. (1995). Introduction to witness and linking to process mapping tools. In: Proceedings of the 1995 winter simulation conference (pp. 462–466).

  • Trischler, W. (1996). Understanding and applying value-added assessment. ASQ Press.

  • F. Vernadat (2002) ArticleTitleEnterprise modelling and integration (EMI): Current status and research perspectives Annual Reviews in Control 26 15–25 Occurrence Handle10.1016/S1367-5788(02)80006-2

    Article  Google Scholar 

  • Vollmann, T., Dixon, R., & Nannu, A. (1989). Using the diagnostic tool. Manufacturing Executive Forum.

  • H. Wiendahl W. Ullmann (1993) ArticleTitleLogistics performance measurement of shop floor activities. sessions on optimisation of manufacturing systems CIRP Annals 42 IssueID1 509–512

    Google Scholar 

  • Williams, E. J., & Naraya, R. (1997). Application of simulation to scheduling, sequencing and materials handling. In: Proceedings of the 1997 winter simulation conference (pp. 861–865).

  • I.P. Tatsiopoulus N.A. Panayiotou S.T. Ponis (2002) ArticleTitleA modelling and evaluation methodology for E-Commerce enabled BPR Computers in Industry 49 IssueID1 107–121 Occurrence Handle10.1016/S0166-3615(02)00062-3

    Article  Google Scholar 

  • A. Zakarian A. Kusiak (2000) ArticleTitleAnalysis of process models IEEE Transactions on Electronics Packaging Manufacturing Computers & Industrial Engineering 23 IssueID2 137–147 Occurrence Handle10.1109/6104.846937

    Article  Google Scholar 

  • A. Zakarian A. Kusiak (2001) ArticleTitleProcess analysis and reengineering Computers & Industrial Engineering 41 IssueID2 135–150 Occurrence Handle10.1016/S0360-8352(01)00048-1

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical and Manufacturing Engineering, E. T. S. Ingenieros Industriales, Polytechnical University of Madrid (UPM), José Gutiérrez Abascal 2, 28006, Madrid, Spain

    J. C. Hernandez-Matias, A. Vizan & J. Rios

  2. Department of Operations and Production Management, E. T. S. Ingenieros Industriales, Polytechnical University of Madrid (UPM), José Gutiérrez Abascal 2, 28006, Madrid, Spain

    A. Hidalgo

Authors
  1. J. C. Hernandez-Matias
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Vizan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. Hidalgo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. J. Rios
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to J. C. Hernandez-Matias.

Additional information

Received July 2005 / Accepted January 2006

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hernandez-Matias, J.C., Vizan, A., Hidalgo, A. et al. Evaluation of techniques for manufacturing process analysis. J Intell Manuf 17, 571–583 (2006). https://doi.org/10.1007/s10845-006-0025-1

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-006-0025-1

Keywords

Search

Navigation