COMPUTER AIDED ASSEMBLY PLANNING USING MS EXCEL SOFTWARE – A CASE STUDY

Jolanta Brzozowska

jolantabrzozowska.89@gmail.com
International Tobacco Machinery Poland, Radom (Poland)

Arkadiusz Gola


Lublin University of Technology, Faculty of Mechanical Engineering, Department of Production Computerisation and Robotisation, Lublin (Poland)

Abstract

The issue of planning assembly operations remains crucial decision-making area for many of manufacturing companies. It becomes particularly significant in case of small and medium enterprises that perform unit or small-scale production, where the option of applying specialized software is often very limited – both due to high purchase price, but also due to its applicability to single unit manufacturing, that is executed based on individual customer orders. The present article describes the possibility of applying the MS Excel spreadsheet in the planning of machine assembly processes. It emphasises, in particular, the method for using the spreadsheet in subsequent stages of the process, and the identification of possible causes that have impact on problems with the planning process. We performed our analysis on the basis of actual data from one of the machine industry enterprises that manufactures in central Poland.


Keywords:

assembly, production planning, support, spreadsheet, MS Excel

Benjaafar, S., & El Hafsi, M. (2006). Production and inventory control of a single product assemble-to-order system with multiple customer classes. Management Science, 52(12), 1896–1912. https://doi.org/10.1287/mnsc.1060.0588
DOI: https://doi.org/10.1287/mnsc.1060.0588   Google Scholar

Ciesla, B., & Mleczko, J. (2021). Practical application of fuzzy logic in production control systems of engineer to order SMEs. Applied Computer Science, 17(1), 17-25. https://doi.org/10.23743/acs-2021-02
  Google Scholar

Danilczuk, W., & Gola, A. (2020). Computer-Aided Material Demand Planning Using ERP Systems and Business Intelligence Technology. Applied Computer Science, 16(3), 42–55. https://doi.org/10.23743/acs-2020-20
  Google Scholar

ElHafsi, M. (2009). Optimal integrated production and inventory control of an assemble-to-order system with multiple non-unitary demand classes. European Journal of Operational Research, 194(1), 127–142. https://doi.org/10.1016/j.ejor.2007.12.007
DOI: https://doi.org/10.1016/j.ejor.2007.12.007   Google Scholar

Gola, A. (2014). Economic Aspects of Manufacturing Systems Design. Actual Problems of Economics, 156(6), 205–212.
  Google Scholar

Gyulai, D., & Monostori, L. (2017). Capacity management of modular assembly systems. Journal of Manufacturing Systems, 43(1), 88-99. https://doi.org/10.1016/j.jmsy.2017.02.008
DOI: https://doi.org/10.1016/j.jmsy.2017.02.008   Google Scholar

Gyulai, D., Kadar, B., & Monostori, L. (2014). Capacity planning and resource allocation in assembly systems consisting of dedicated and Reconfigurable lines. Procedia CIRP, 25, 185–191. https://doi.org/10.1016/j.procir.2014.10.028
DOI: https://doi.org/10.1016/j.procir.2014.10.028   Google Scholar

Ju, F., & Li, J. (2014). A Bernoulli model of selective assembly systems. IFAC Proceedings Volumes, 47(3), 1692-1697. https://doi.org/10.3182/20140824-6-ZA-1003.00525
DOI: https://doi.org/10.3182/20140824-6-ZA-1003.00525   Google Scholar

Ju, F., Li, J., & Deng, W. (2017). Selective assembly system with unreliable Bernoulli machines and finite buffers. IEEE Transactions on Automation Science and Engineering, 14(1), 171–184. https://doi.org/10.1109/TASE.2016.2604371
DOI: https://doi.org/10.1109/TASE.2016.2604371   Google Scholar

Kamath, R., & Sarkar, E. (2020). The Engineer… No Longer a Person, but a Number of an Excel Sheet – Enterprise Resource Planning and Commoditisation of Labour. Global Labour Journal, 11(2), 103–117. https://doi.org/10.15173/glj.v11i2.4101
DOI: https://doi.org/10.15173/glj.v11i2.4101   Google Scholar

Li, J., Blumenfeld, D.E, Huang, N., & Alden, J.M. (2009). Throughput analysis of production systems: Recent advances and future topics. International Journal of Production Research, 47(14), 3823–3851. https://doi.org/10.1080/00207540701829752
DOI: https://doi.org/10.1080/00207540701829752   Google Scholar

Manitz, M. (2008). Queueing-model based analysis of assembly lines with finite buffers and general service times. Computers & Operations Research, 35(8), 2520-2536. https://doi.org/10.1016/j.cor.2006.12.016
DOI: https://doi.org/10.1016/j.cor.2006.12.016   Google Scholar

Pang, Z. (2015). Optimal control of a single-product assemble-to-order system with multiple demand classes and backordering. IEEE Transactions on Automatic Control, 60(2), 480–484. https://doi.org/10.1109/TAC.2014.2328451
DOI: https://doi.org/10.1109/TAC.2014.2328451   Google Scholar

Paprocka, I., Krenczyk, D., & Burduk, A. (2021). The Method of Production Scheduling with Uncertaintes Using the Ants Colony Optimisation. Applied Sciences-Basel, 11(1), 171. https://doi.org/10.3390/app11010171
DOI: https://doi.org/10.3390/app11010171   Google Scholar

Reiman, M.I., & Wang, Q. (2015). Asymptotically optimal inventory control for assemble-to-order system with identical lead times. Operations Research, 63(3), 489-749. https://doi.org/10.1287/opre.2015.1372
DOI: https://doi.org/10.1287/opre.2015.1372   Google Scholar

Sobaszek, Ł., Gola, A., & Kozłowski, E. (2017), Application of survival function in robust scheduling of production jobs. In Proceedings of the 2017 Federated Conference on Computer Science and Information Systems (FEDCSIS) (pp. 575–578). ACSIS. https://doi.org/10.15439/2017F276
DOI: https://doi.org/10.15439/2017F276   Google Scholar

Świć, A., & Gola, A. (2013). Economic Analysis of Casing Parts Production in a Flexible Manufacturing System. Actual Problems of Economics, 141(3), 526–533.
  Google Scholar

Tarigan, Z.J.H., Siagian, H., & Jie, F. (2021). Impact of Enhanced Enterprise Resource Planning (ERP) on Firm Performance through Green Supply Chain Management. Sustainability, 13(8), 4358. https://doi.org/10.3390/su13084358
DOI: https://doi.org/10.3390/su13084358   Google Scholar

Wikarek, J., Sitek, P., & Nielsen, P. (2019). Model of decision support for the configuration of manufacturing system. IFAC PapersOnLine, 52(13), 826–831. https://doi.org/10.1016/j.ifacol.2019.11.232
DOI: https://doi.org/10.1016/j.ifacol.2019.11.232   Google Scholar

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Published
2021-06-30

Cited by

Brzozowska, J., & Gola, A. (2021). COMPUTER AIDED ASSEMBLY PLANNING USING MS EXCEL SOFTWARE – A CASE STUDY. Applied Computer Science, 17(2), 70–89. https://doi.org/10.23743/acs-2021-14

Authors

Jolanta Brzozowska 
jolantabrzozowska.89@gmail.com
International Tobacco Machinery Poland, Radom Poland

Authors

Arkadiusz Gola 

Lublin University of Technology, Faculty of Mechanical Engineering, Department of Production Computerisation and Robotisation, Lublin Poland

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