The Integration of the Theory of Constraints and the Time-Driven Activity-Based Costing System for the Improvement of Production Processes in an SME
La integración de la Teoría de las Restricciones y el Sistema de Costes por Actividades en función del tiempo para la mejora de los procesos de producción en una PYME
Supporting Agencies
- Cukurova University Department of Scientific Research Projects, with the project numbers: SDK-2017-8209
Abstract
In this study, the Time-Driven Activity-Based Costing System (TDABC) is discussed with the Theory of Constraints (TOC). The integration of TDABC and TOC has enabled the determination of the bottleneck activities by the examination of the entire production capacity. For this purpose, a case study was carried out in a manufacturing company. In line with the aim of the case study, the capacity usage based on the TDABC system and capacity constraints were determined within the framework of the TOC. As a result of this study, the following findings were obtained: The activities in the production process of the company were divided into 10 resource centers. Capacity constraints were determined in two of them and it was determined that the order received in the period subject to the study could not meet the production. It was also understood that the degree of products' utilization of operating activities changed due to the differences in the production processes and that the product with a more complex production process required more capacity utilization. This creates a resource constraint for some activities. Then the solutions based on the five-stage improvement of the theory of constraints were proposed to reduce the identified capacity constraints. The solutions were proposed considering the short and long term. The decision of the product mix that would provide the highest profitability in the short term was made by linear programming and products to be discontinued were decided. Overwork or recruitment of additional staff was proposed to increase the capacity in the long run. The results of the study support the managerial decisions in terms of capacity management, product mix decisions, and improvement of production processes by using the time equations of TDABC. Based on the results of this study, businesses that manufacture products that go through different production processes can benefit from the determination of the utilization degree of the products, the idle and bottleneck capacity, and solutions for their improvement.
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References
Alsmadi, M., Almani, A., & Khan, Z. (2014). Implementing an integrated ABC and TOC approach to enhance decision making in a Lean context: A case study. International Journal of Quality & Reliability Management, 31(8), 906-920. https://doi.org/10.1108/IJQRM-04-2013-0063
Barrett, R. (2005). Time-Driven Costing: The Bottom Line on the New ABC. Business Performance Management, 3(1), 35-39.
Blackstone, J. H. (2001). Theory of constraints-a status report. International Journal of Production Research, 39(6), 1053-1080. https://doi.org/10.1080/00207540010028119
Boyd, L. H., & Cox III, J. F. (2002). Optimal decision making using cost accounting information. International Journal of Production Research, 40(8), 1879-1898. https://doi.org/10.1080/00207540210122239
Demirciou{g}lu, E. N., & Demirciou{g}lu, M. (2016). Üretme-Satın Alma Kararlarında Faaliyete Dayalı Maliyet Sistemi ve Kısıtlar Teorisi: Doğrusal Programlama İle Örnek Uygulama, Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 13(33), 316-333
DugDale, D., & Jones, T. C. (1998). Throughput accounting: transforming practices? The British Accounting Review, 30(3), 203-220. https://doi.org/10.1006/bare.1997.0062
Etemadi, S., Mohammadi, B., Akbarian Bafghi, M. J., Hedayati Poor, M., & Gholamhoseini, M. T. (2018). A New Costing System in Hospital Management: Time-Driven Activity-Based Costing: A Narrative Review. Evidence Based Health Policy. Management and Economics, 2(2), 133-140.
Ganorkar, A. B., Lakhe, R. R., & Agrawal, K. N. (2018). Implementation of TDABC in SME: a case study. Journal of Corporate Accounting & Finance, 29(2), 87-113. https://doi.org/10.1002/jcaf.22327
Gill, A. (2008). Identifying Potential Bottlenecks Through Activity Under-Utilization Cost. International Journal of Simulation Modelling, 7(4), 165-175. https://doi.org/10.2507/IJSIMM07(4)1.104
Goldratt, E. M., & Cox, J. (2016). Amaç: sürekli iyileştirme süreci. İstanbul, Turkey: Optimist.
Grida, M., & Zeid, M. (2019). A system dynamics-based model to implement the theory of constraints in a healthcare system. Simulation, 95(7), 593-605. https://doi.org/10.1177/0037549718788953
Gupta, M. C. & Boyd, L. (2008). Theory of constraints: a theory for operations management. International Journal of Operations & Production Management, 28(10), 991-1012. https://doi.org/10.1108/01443570810903122
Gupta, M. C., Bridgman, S., & Kaur Sahi, G. (2015). Application of TOC-based framework to improve market orientation in a non-profit organization. Journal of Strategic Marketing, 23(7), 579-599. https://doi.org/10.1080/0965254X.2014.1001865
Hoozée, S., Vermeire, L., & Bruggeman, W. (2012). The Impact of Refinement on the Accuracy of Time‐driven ABC. Abacus, 48(4), 439-472. https://doi.org/10.1111/j.1467-6281.2012.00366.x
Huang, S. Y., Chen, H. J., Chiu, A. A., & Chen, C. P. (2014). The application of the theory of constraints and activity-based costing to business excellence: the case of automotive electronics manufacture firms. Total quality management & business excellence, 25(5-6), 532-545. https://doi.org/10.1080/14783363.2013.820023
Ifandoudas, P., & Gurd, B. (2010). Costing for decision- making in a theory of constraints environment, Journal of Applied Management Accounting Research, 8(1), 43-58
Kaplan, R. S. (1988). One cost system isn't enough. Harvard Business Review, January, 1-12. Available at https://hbr.org/1988/01/one-cost-system-isnt-enough
Kaplan, R., & Anderson, S. (2004). Time-Driven Activity-Based Costing, Harvard Business Review, 82(11), 131-138. Available at https://hbr.org/2004/11/time-driven-activity-based-costing
Kee, R., & Schmidt, C. (2000). A comparative analysis of utilizing activity-based costing and the theory of constraints for making product-mix decisions. International Journal of Production Economics, 63(1), 1-17. https://doi.org/10.1016/S0925-5273(99)00005-5
Kohli, A.S., & Gupta, M. (2010). Improving operations strategy: Application of TOC principles in a small business. Journal of Business & Economics Research, 8(4), 37--46. https://doi.org/10.19030/jber.v8i4.713
Myrelid, A., & Olhager, J. (2015). Applying modern accounting techniques in complex manufacturing. Industrial Management & Data Systems, 115(3), 402-418. https://doi.org/10.1108/IMDS-09-2014-0250
Myrelid, A., & Olhager, J. (2019). Hybrid manufacturing accounting in mixed process environments: A methodology and a case study. International Journal of Production Economics, 210, 137-144. https://doi.org/10.1016/j.ijpe.2019.01.024
Namazi, M. (2016). Time-driven activity-based costing: Theory, applications and limitations. Iranian Journal of Management Studies, 9(3), 457-482
Northrup, C. L. (2004). Dynamics of Profit-focused Accounting: Attaining Sustained Value and Bottom-line Improvement. Boca Raton, Fla: J. Ross Publishing.
Oker, F., & Adiguzel, H. (2016). Time-driven activity-based costing: an implementation in a manufacturing company. The Journal of Corporate Accounting & Finance, 27(3), 39-56. https://doi.org/10.1002/jcaf.22144
Reynolds, A., Fourie, H., & Erasmus, L. (2018). A framework for time-driven activity-based costing implementation at small and medium enterprises. Southern African Journal of Entrepreneurship and Small Business Management 10(1), a194. https://doi.org/10.4102/sajesbm.v10i1.194
Ridder, H. G. (2017). The theory contribution of case study research designs, Business Research, 10(2), 281-305. https://doi.org/10.1007/s40685-017-0045-z
Robbins, A. W. (2011). Process improvement in the public sector: a case for the theory of constraints, Journal of Government Financial Management, 60(2), 44-46.
Ruhl, J. M. (1996). An Introduction to the Theory of Constraints, Journal of Cost Management, 10(2), 43-48.
Santana, A., & Afonso, P. (2015). Analysis of Studies on Time-Driven Activity-Based Costing (TDABC). The International Journal of Management Science and Information Technology, 15, 133-157. Available at http://hdl.handle.net/10419/178794
Sheu, C., Chen, M., & Kovar, S. (2003). Integrating ABC and TOC for better manufacturing decision making. Integrated Manufacturing Systems, 14(5), 433-441. https://doi.org/10.1108/09576060310477834
Siguenza-Guzman, L., den Abbeele, A. V., & Cattrysse, D. (2014). Time-Driven Activity-Based Costing Systems for Cataloguing Processes: A Case Study. Liber Quarterly: The Journal of European Research Libraries, 23(3), 160-186.
Sobreiro, V. A., Mariano, E. B., & Nagano, M. S. (2014). Product mix: the approach of throughput per day. Production Planning & Control, 25(12), 1015-1027. https://doi.org/10.1080/09537287.2013.798705
Tanis, V. N., & Ozyapici, H. (2012). The measurement and management of unused capacity in a time-driven activity-based costing system. Journal of Applied Management Accounting Research, 10(2), 43-55.
Tarzibashi, O. F. F., & Ozyapici, H. (2019). The Impact of the Magnitude of Overhead Costs on the Difference between ABC and TDABC Systems. Foundations of Management, 11(1), 81-92. https://doi.org/10.2478/fman-2019-0007
Watson, K. J., Blackstone, J. H., & Gardiner, S. C. (2007). The evolution of a management philosophy: The theory of constraints. Journal of Operations Management, 25(2), 387-402. http://dx.doi.org/10.1016/j.jom.2006.04.004
Yun, B. J., Prabhakar, A. M., Warsh, J., Kaplan, R., Brennan, J., Dempsey, K. E., & Raja, A. S. (2016). Time-driven activity-based costing in emergency medicine. Annals of Emergency Medicine, 67(6), 765-772. http://dx.doi.org/10.1016/j.annemergmed.2015.08.004
Zhang, X., & Yi, H. (2008). The analysis of logistics cost based on time-driven ABC and TOC. In Service Operations and Logistics, and Informatics, IEEE/SOLI 2008. IEEE International Conference, 2, 1631-1635.
Zhuang, Z. Y., & Chang, S. C. (2017). Deciding product mix based on time-driven activity-based costing by mixed integer programming. Journal of Intelligent Manufacturing, 28(4), 959-974. https://doi.org/10.1007/s10845-014-1032-2
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