complex production processes; eradication of waste; optimisation; SIPOC; work design; Complex production; Complex production process; Design procedure; Eradication of waste; Industrial production; Optimisations; Production process; Scientists and engineers; Work design; Engineering (all)
Abstract :
[en] Despite nearly two centuries of efforts by scientists and engineers to enhance the efficiency of production processes, today's production processes continue to be inefficient and wasteful. As the production process's complexity increases, the working designer's ability to identify all losses and inefficiencies in the process decreases. Therefore, implementing a procedure that will enable a higher-quality work design is crucial in such production processes. This paper aims to develop a procedure for work design, especially in complex production processes, which will eliminate waste and optimise the process before the implementation. Additionally, the developed procedure ensures the identification of all necessary activities so the production process can proceed without stoppages and interruptions. The development of this procedure is based on the results of an analysis of scientific papers dealing with this topic and on the synthesis of procedures aimed at eliminating problems that result in inefficiency and ineffectiveness of work activities. The developed procedure has been tested in two production processes, and the results confirm achieving the set goals.
Precision for document type :
Review article
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Beker, Ivan; University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
Lazarević, Milovan; University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
OROSNJAK, Marko ; University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
External co-authors :
yes
Language :
English
Title :
mSIPOC-Work Design Procedure for Complex Industrial Production Process
Publication date :
27 February 2025
Journal title :
Tehnicki Vjesnik
ISSN :
1330-3651
eISSN :
1848-6339
Publisher :
Strojarski Facultet
Volume :
32
Issue :
2
Pages :
756 - 765
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
This research has been supported by the Serbian Ministry of Science, Technological Development, and Innovation (Contract No. 451-03-65/2024-03/200156) and the Faculty of Technical Sciences, University of Novi Sad, through project \"Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad\" (No. 01-3394/1).
Parker, S. K. (2014). Beyond Motivation: Work Design For Development, Health, Ambidexterity, and More. Annual Review of Psychology, (65), 661-691.
Parker, S. K. & Wall, T. D. (1998). Job and Work Design. SAGE Publications
Parker, S. K., Morgeson, F. P., & Johns, G. (2017). One hundred years of work design research: Looking back and looking forward. Journal of Applied Psychology, 102(3), 403-420. https://doi.org/10.1037/apl0000106
Challenger, R., Clegg, C. W., & Shepherd, C. (2013). Function allocation in complex systems: Reframing an old problem. Ergonomics, 56(7), 1051-1069. https://doi.org/10.1080/00140139.2013.790482
Hackman, J. R. (1980). Work redesign and motivation. Professional Psychology: Research and Practice, 11(3), 445-455. https://doi.org/10.1037/0735-7028.11.3.445
Parker, S. K., Andrei, D. M., & Van de Broeck, A. (2019). Poor Work Design Begets Poor Work Design: Capacity and Willingness Antecedents of Individual Work Design Behaviours. Journal of Applied Psychology, 104(7), 907-928. https://doi.org/10.1037/apl0000383
Ríos, M. F., Castellanos, R. S. M., & De Calvo, J. M. D. M. (2008). Dimensiones básicasen el diseño del trabajo: Nuevos aportes a la flexibilidad funcional. Psicothema, 20(4), 773-779.
Clegg, C. W. (2000). Sociotechnical principles for system design. Applied Ergonomics, 31(5), 463-477.
Grant, A. M. & Parker, S. K. (2009). Redesigning Work Design Theories: The Rise of Relational and Proactive Perspectives. Academy of Management Annals, 3(1), 317-375. https://doi.org/10.5465/19416520903047327
Campion, M. A. (1988). Interdisciplinary Approaches to Job Design: A Constructive Replication with Extensions. Journal of Applied Psychology, 73(3), 467-480. https://doi.org/10.1037/0021-9010.73.3.467
Morgeson, F. P. & Humphrey, S. E. (2006). The Work Design Questionnaire (WDQ): Developing and validating a comprehensive measure for assessing job design and the nature of work. Journal of Applied Psychology, 91(6), 1321-1339. https://doi.org/10.1037/0021-9010.91.6.1321
Parker, S. K. & Knight, C. (2023). The SMART model of work design: A higher order structure to help see the wood from the trees. Human Resource Management, 1-27. https://doi.org/10.1002/hrm.22200
Laring, J, Forsman, M., Kadefors, R. & Ortengren, R. (2002). MTM-based ergonomic workload analysis. International Journal of Industrial Ergonomics, 30(3), 135-148.
Laring, J., Christmansson, M., Kadefors, R., & Örtengren, R. (2005). ErgoSAM: A preproduction risk identification tool. Human Factors and Ergonomics in Manufacturing, 15(3), 309-325. https://doi.org/10.1002/hfm.20028
Sakamoto, S. (2010). Beyond World Class Productivity-Industrial Engineering Practice and Theory. Springer, London
Brannick, M. T., Levine, E. L., & Morgeson, F. P. (2020). Job and Work ANALYSIS: Methods, Research, and Applications for Human Resource Management. SAGE Publications, Inc. https://doi.org/10.4135/9781483329505
Fantini, P., Pinzone, M., & Taisch, M. (2020). Placing the operator at the centre of Industry 4.0 design: Modelling and assessing human activities within cyber-physical systems. Computers and Industrial Engineering, 139(February 2018), 105058. https://doi.org/10.1016/j.cie.2018.01.025
Abubakar Bugvi, S., Hameed Mughal, K., Siddiqa Bugvi, A., Fawad Jamil, M., & Mehmood, Q. (2022). Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics. Malaysian Journal of Society and Space, 18(3), 1-22. https://doi.org/10.17576/geo-2022-1803-01
Das, B. (1999). Development of a comprehensive industrial work design model. Human Factors and Ergonomics in Manufacturing, 9(4), 393-411. https://doi.org/10.1002/(SICI)1520-6564(199923)9:4<393::AID-HFM6>3.0.CO;2-D
Niepce, W. & Molleman, E. (1998). Work design issues in lean production from a sociotechnical systems perspective: Neo-taylorism or the next step in sociotechnical design? Human Relations, 51(3), 259-287.
Cherns, A. (1987). Principles of Sociotechnical Design Revisited. Human Relations, 40(3), 153-162.
Cherns, A. (1976). The principles of sociotechnical design. Human Relations, 29(8), 783-792.
Bruning, P. F. & Campion, M. A. (2019). Exploring job crafting: Diagnosing and responding to the ways employees adjust their jobs. Business Horizons, 62(5), 625-635. https://doi.org/10.1016/j.bushor.2019.05.003
Csikszentmihalyi, M. (2008). Flow: The psychology of optimal experience: Steps toward enhancing the quality of life. Harper Perennial Modern Classics.
Todić, V. (2023). Integrated model of product manufacturing cycle time estimation. Journal of Production Engineering, 26(2), 7-12. https://doi.org/10.24867/jpe-2023-02-007
Kolus, A., Wells, R., & Neumann, P. (2018). Production quality and human factors engineering: A systematic review and theoretical framework. Applied Ergonomics, 73(October 2017), 55-89. https://doi.org/10.1016/j.apergo.2018.05.010
Bakker, A. B. & Demerouti, E. (2007). The Job Demands-Resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328. https://doi.org/10.1108/02683940710733115
Rev, A., Psychol, O., Behav, O., Bakker, A. B., Demerouti, E., & Sanz-vergel, A. (2023). Job Demands-Resources Theory: Ten Years Later.
Parker, S. K. (2017). Work design growth model: How work characteristics promote learning and development. Autonomous Learning in the Workplace, (January), 137-161. https://doi.org/10.4324/9781315674131
Morgeson, F. P. & Campion, M. A. (2002). Minimizing tradeoffs when redesigning work. Personnel Psychology, 55(3), 589-612.
Donovan, K. M. & Fluegge-Woolf, E. R. (2015). Under Construction: An Experiential Exercise Illustrating Elements of Work Design. Journal of Management Education, 39(2), 276-296. https://doi.org/10.1177/1052562913520158
Hackman, R. J. & Oldham, G. R. (1980). Work redesign. Addison-Wesley Publishing Company.
Parker, S. K. & Jorritsma, K. (2021). Good work design for all: Multiple pathways to making a difference. European Journal of Work and Organizational Psychology, 30(3), 456-468. https://doi.org/10.1080/1359432X.2020.1860121
Humphrey, S. E., Nahrgang, J. D., & Morgeson, F. P. (2007). Integrating Motivational, Social, and Contextual Work Design Features: A Meta-Analytic Summary and Theoretical Extension of the Work Design Literature. Journal of Applied Psychology, 92(5), 1332-1356. https://doi.org/10.1037/0021-9010.92.5.1332
Schmitt, N. W., Highhouse, S., & Weiner, I. B. (Eds.). (2013). Handbook of Psychology-Vol 12: Industrial and Organizational Psychology. John Wiley & Sons, Inc.
Cordery, J. (1997). Reinventing work design theory and practice. Australian Psychologist, 32(3), 185-189. https://doi.org/10.1080/00050069708257379
Rosen, P. H. & Wischniewski, S. (2018). Task Design in Human-Robot-Interaction Scenarios-Challenges from a Human Factors Perspective. Advances in Intelligent Systems and Computing, 592, 71-82. https://doi.org/10.1007/978-3-319-60366-7_8
Older, M. T., Waterson, P. E., & Clegg, C. W. (1997). A critical assessment of task allocation methods and their applicability. Ergonomics, 40(2), 151-171.
Wrzesniewski, A. & Dutton, J. (2001). Crafting a Job: Revisioning Employees as active crafters of their work. The Academy of Management Review, 26(2), 179-201.
Scharp, Y. S., Bakker, A. B., Breevaart, K., Kruup, K., & Uusberg, A. (2023). Playful work design: Conceptualization, measurement, and validity. Human Relations, 76(4), 509-550. https://doi.org/10.1177/00187267211070996
Elsbach, K. D. & Hargadon, A. B. (2006). Enhancing creativity through "mindless" work: A framework of workday design. Organization Science, 17(4), 470-483. https://doi.org/10.1287/orsc.1060.0193
Parker, S. K. & Grote, G. (2020). Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World. Applied Psychology, 1171-1204. https://doi.org/10.1111/apps.12241
Brynjolfsson, E., Mitchell, T., & Rock, D. (2018). What Can Machines Learn and What Does It Mean for Occupations and the Economy? AEA Papers and Proceedings, 108, 43-47. https://doi.org/10.1257/pandp.20181019
