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Warianty tytułu
Języki publikacji
Abstrakty
The Complexity Index method is an approach developed to help manufacturing companies quantify complexity in production. This paper sheds light on the connection between complexity and manufacturing problems and how the Complexity Index method was used to capture the areas in a production line with high levels of complexity to determine the sources of manufacturing problems related to labour time, surplus production, and manufacturing error. The main areas perceived as complex were due to Work Instructions, Work Content, and Product Variants. The perceived complexities were assessed for proper actions to be taken to decrease their level of complexity. The correlations between complexity and manufacturing problems were used for tracking related issues and ways for improvement. This study presents data on the use of workers’ perception to uncover the areas of complexity, which could be used by the management team to pragmatically capture difficulties and issues related to manufacturing problems to improve the production system.
Rocznik
Tom
Strony
46--53
Opis fizyczny
Bibliogr. 25 poz., tab.
Twórcy
autor
- Beirut Arab University, Lebanon
Bibliografia
- Budde, L., Nagler, O., & Friedli, T., (2015). A Method to Set up a Complexity Index to Improve Decision-Making Performance. Procedia CIRP, 36, 53-58.
- Chryssolouris, G., Efthymiou, K., Papakostas, N., Mourtzis, D., & Pagoropoulos, A. (2013). Flexibility and Complexity: Is It a Trade-Off? International Journal of Production Research, 51, 23-24.
- Fässberg, T., Harlin, U., Garmer, K., Gullander, P., Fasth, Å., Mattsson, S., Dencker, K., Davidsson, A., & Stahre, J. (2011). An Empirical Study Towards a Definition of Production Complexity. 21st International Conference on Production Research (ICPR), Stuttgart, Germany.
- Grote G. (2004). Uncertainty Management at the Core of System Design. Annual Reviews in Control, 28, 267-274.
- Gullander P., Mattsson S., Tommy F., Langeghem H. V., Zeltzer L., LImère V., Aghezzaf E-H., & Stahre J. (2012). Comparing Two Methods to Measure Assembly Complexity from an Operator Perspective. Swedish Production Symposium (SPS12). Linköping, Sweden.
- Johansson, P. E. C., Mattsson, S., Moestam, L., & Fast-Berglund, A. (2016). Multi-Variant Truck Production - Product Variety and its Impact on Production Quality in Manual Assembly. Procedia CIRP, 54, 245-250.
- Karlsson, M., Mattsson, S., Fast-Berglund, Å., & Stahre, J. (2013). Could the use of ICT tools be the way to increase competitiveness in Swedish industry? 12th IFAC Symposium on Analysis, Design, and Evaluation of Human-Machine Systems. Las Vegas, USA, 179-186.
- Kohr, D., Budde, L., & Friedli, T. (2017). Identifying Complexity Drivers in Discrete Manufacturing and Process Industry. The 50th CIRP Conference on Manufacturing Systems. Procedia CIRP, 63, 52-57.
- Li, D., Mattsson, S., Salunkhe, O., Fast-Berglund, A., Skoogh, A., & Broberg, J. (2018). Effects of Information Content in Work Instructions for Operator Performance. Procedia Manufacturing, 25, 268-635.
- Liker, J. K. (2004). The 14 principles of the Toyota way: An executive summary of the culture behind TPS. The Toyota Way, 14, 35-41.
- Mattsson, S. (2013). What is perceived as complex in final assembly? To define, measure and manage production complexity. Licentiate, Chalmers University of Technology. Gothenburg, Sweden.
- Mattsson, S., Ekstranda, E., & Tarrar, M. (2018). Understanding disturbance handling in complex assembly: analysis of complexity index method results. Procedia Manufacturing, 25, 213-222.
- Mattsson, S., Gullander, P., Harlin, U., Bäckstrand, G., Fasth, A., & Davidsson, A. (2012). Testing Complexity Index – a Method for Measuring Perceived Production Complexity. Procedia CIRP, 3, 394-399.
- Mattsson, S., Karlssona, M., Fast-Berglunda, Å., & Hanssona, I. (2014). Managing production complexity by empowering workers: six cases. Procedia CIRP, 17, 212-217.
- Mavrikios, D., Karabatsou, V., Pappas, M., & Chryssolouris, G. (2007). An Efficient Approach to Human Motion Modeling for the Verification of Human- Centric Product Design and Manufacturing in Virtual Environments. Robotics and Computer-Integrated Manufacturing, 23(5), 533-543.
- Ohno, T. (1988). Toyota production system: Beyond largescale production. Florida, USA: CRC Press.
- Riesener, M., Dölle, C., Koch, J., & Schuh, G. (2019). Information requirements for a data-based analysis of product and service complexity, Procedia CIRP, 83, 279-284.
- Salminen, V., Yassine, A., & Riitahuhta, A. (2000). Strategic management of complexity in distributed product development. Proceedings of NordDesign, S, 275-285.
- Sivadasan, S., Efstathiou, J., Calinescu, A., & Huatuco, L. H. (2006). Advances on Measuring the Operational Complexity of Supplier-Customer Systems. European Journal of Operational Research, 171, 208-226.
- Soliman, M., Abreu Saurin, T., & Anzanello, M. J. (2018). The impacts of lean production on the complexity of socio-technical systems. International Journal of Production Economics, 197, 342-357.
- Soltysova, Z., & Bednar, S. (2015). Complexity management in terms of mass customized manufacturing. Polish Journal of Management Studies, 12(2), 139-149.
- Sony, M. (2018). Industry 4.0 & lean management: a proposed integration model and research propositions. Production & Manufacturing Research, 6(1), 416-432.
- Tarrar, M., Svensson Harari, N., & Mattsson, S. (2016). Using the Complexity Index to discuss improvements at work: A case study in an automotive company. Conference: 7th Swedish Production Symposium.
- Trattner, A., Hvam, L., Forza, C., & Herbert-Hansen, Z. N. L. (2019). Product complexity and operational performance: A systematic literature review, CIRP Journal of Manufacturing Science and Technology, 25, 69-83.
- Ukala, A. N., & Sunmola, F. K. (2020). A Rule-Based Approach for Product Assembly Complexity Review in the Context of Virtual Engineering, Procedia Manufacturing, 51, 557-564.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6b00f37b-99e4-4337-9792-bdd6af381a15