Cost efficiency analysis of logistics and warehouse business

Authors

  • Rizka Amalia Nur Hasana Universitas Dian Nusantara
  • Setiyo Purwanto Universitas Dian Nusantara

DOI:

https://doi.org/10.12928/fokus.v14i1.9979

Abstract

Cost efficiency is a key focus in various aspects of a company's operational activities, and the supply chain plays an important role in achieving this goal. To better understand how the supply chain may affect cost-effectiveness, this study examines just-in-time, total quality management, and performance measurement systems in the context of Kosambi Warehouse Area, Tangerang, which involves collecting primary and secondary data using a quantitative approach. A total of 138 respondents were selected using a simple random sampling technique. SPSS software was used to analyze the data. The findings demonstrate that just-in-time has a negative and significant effect on cost efficiency. However, total quality management has a positive and significant influence on cost efficiency. The performance measurement system has a positive and significant influence on cost efficiency.

References

Abbas, J. (2020). Impact of total quality management on corporate green performance through the mediating role of corporate social responsibility. Journal of Cleaner Production, 242, 118458. https://doi.org/10.1016/j.jclepro.2019.118458

Abdurahimovna, C. D., & Sultanbekovna, M. M. (2022). Cost and accounting concepts in accounting and their accounting. Global Scientific Review, 4, 21–26.

Agarwal, A. (2021). Investigating design targets for effective performance management system: applying balance scorecard using QFD. Journal of Advances in Management Research, 18(3), 353–367. https://doi.org/10.1108/JAMR-05-2020-0075

Albloushi, B. (2023). Total quality management practices and corporate sustainable development in manufacturing companies: The mediating role of green innovation. Management Research Review, 46(1), 20–45. https://doi.org/10.1108/MRR-03-2021-0194

Alzoubi, H. M., In’airat, M., & Ahmed, G. (2022). Investigating the impact of total quality management practices and six sigma processes to enhance the quality and reduce the cost of quality: The case of Dubai. International Journal of Business Excellence, 27(1), 94–109. https://doi.org/10.1504/IJBEX.2022.123036

Balkhi, B., Alshahrani, A., & Khan, A. (2022). Just-in-time approach in healthcare inventory management: Does it work ? Saudi Pharmaceutical Journal, 30(12), 1830–1835. https://doi.org/10.1016/j.jsps.2022.10.013

Belhadi, A. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change, 163. https://doi.org/10.1016/j.techfore.2020.120447

Chen, R., Lee, Y. D., & Wang, C. H. (2020). Total quality management and sustainable competitive advantage: Serial mediation of transformational leadership and executive ability. Total Quality Management & Business Excellence, 31(5–6), 451–468. https://doi.org/10.1080/14783363.2018.1476132

Chi, O. H., Gursoy, D., & Chi, C. G. (2020). Tourists’ attitudes toward the use of artificially intelligent (AI) devices in tourism service delivery: Moderating role of service value seeking. Journal of Travel Research, 61(1), 170–185. https://doi.org/10.1177/0047287520971054

Chiarini, A. (2020). Industry 4.0, quality management, and TQM world. A systematic literature review and a proposed agenda for further research. The TQM Journal, 32(4), 603–616. https://doi.org/10.1108/TQM-04-2020-0082

Damasceno, B. (2020). Hypothesis testing BT research on cognition disorders: Theoretical and methodological issues. Springer International Publishing.

Elvina, E., Anggraeni, S., Sasongko, S. N., & Erlandian, A. Y. (2022). The influence of total quality management (TQM) on quality cost efficiency and managerial performance and the implications for company performance. Indonesian Interdisciplinary Journal of Sharia Economics, 5(2), 459-480. https://doi.org/10.31538/iijse.v5i2.2161

Ewing, R., & Park, K. (2020). Basic quantitative research methods for urban planners. Taylor & Francis.

Frederico, G. F. (2020). Supply chain 4.0: Concepts, maturity and research agenda. Supply Chain Management, 25(2), 262–282. https://doi.org/10.1108/SCM-09-2018-0339

Frederico, G. F., Garza-Reyes, J. A., Kumar, A., & Kumar, V. (2021). Performance measurement for supply chains in the Industry 4.0 era: A balanced scorecard approach. International Journal of Productivity and Performance Management, 70(4), 789–807. https://doi.org/10.1108/IJPPM-08-2019-0400

Giannakis, M., Dubey, R., Vlachos, I., & Ju, Y. (2020). Supplier sustainability performance evaluation using the analytic network process. Journal of Cleaner Production, 247, 119439. https://doi.org/10.1016/j.jclepro.2019.119439

Green, K. W., Inman, R. A., Sower, V. E., & Zelbst, P. J. (2019). Impact of JIT, TQM and green supply chain practices on environmental sustainability. Journal of Manufacturing Technology Management, 30(1), 26–47. https://doi.org/10.1108/JMTM-01-2018-0015

Haekal, J., & Setiawan, I. (2020). Comparative analysis of raw materials control using JIT and EOQ method for cost efficiency of raw material supply in automotive components company Bekasi, Indonesia. International Journal of Engineering Research and Advanced Technology, 06(10), 76–82. https://doi.org/10.31695/ijerat.2020.3661

Hussein, M., & Zayed, T. (2021). Critical factors for successfully implementing the just-in-time concept in modular integrated construction: A systematic review and meta-analysis. Journal of Cleaner Production, 284, 124716. https://doi.org/10.1016/j.jclepro.2020.124716

Kamble, S. S., Gunasekaran, A., Ghadge, A., & Raut, R. (2020). A performance measurement system for industry 4.0 enabled smart manufacturing system in SMEs: A review and empirical investigation. International Journal of Production Economics, 229. https://doi.org/10.1016/j.ijpe.2020.107853

Karamouz, S. S., Kahnali, R. A., & Ghafournia, M. (2021). Supply chain quality management performance measurement: Systematic review. International Journal of Quality & Reliability Management, 38(2), 484–504. https://doi.org/10.1108/IJQRM-03-2019-0073

Khalfallah, M., & Lakhal, L. (2021). The relationships between TQM, TPM, JIT and agile manufacturing: An empirical study in industrial companies. The TQM Journal, 33(8), 1735–1752. https://doi.org/10.1108/TQM-12-2020-0306

Khan, S. A. R. (2021). Industry 4.0 and circular economy practices: A new era business strategies for environmental sustainability. Business Strategy and the Environment, 30(8), 4001–4014. https://doi.org/10.1002/bse.2853

Kraus, S., Rehman, S. U., & García, F. J. S. (2020). Corporate social responsibility and environmental performance: The mediating role of environmental strategy and green innovation. Technological Forecasting and Social Change, 160, 120262. https://doi.org/10.1016/j.techfore.2020.120262

Kula, E., Greuter, E., Deursen, A. V., & Gousios, G. (2022). Factors affecting on-time delivery in large-scale agile software development. IEEE Transactions on Software Engineering, 48(9), 3573–3592. https://doi.org/10.1109/TSE.2021.3101192

Kumar, P. (2021). Managing supply chains for sustainable operations in the era of industry 4.0 and circular economy: Analysis of barriers. Resources, Conservation and Recycling, 164. https://doi.org/10.1016/j.resconrec.2020.105215

Lahane, S., Kant, R., & Shankar, R. (2020). Circular supply chain management: A state-of-art review and future opportunities. Journal of Cleaner Production, 258, 120859. https://doi.org/10.1016/j.jclepro.2020.120859

Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial Marketing Management, 29(1), 65–83. https://doi.org/10.1016/S0019-8501(99)00113-3

Liao, S. (2023). Review of just-in-time material distribution scheduling for mixed flow assembly lines considering transfer vehicle handling energy consumption. Journal of Innovation and Development, 3(1), 126-131. https://doi.org/10.54097/jid.v3i1.8434

Liu, Z., & Nishi, T. (2020). Analyzing just-in-time purchasing strategy in supply chains using an evolutionary game approach. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 14(5). https://doi.org/10.1299/jamdsm.2020jamdsm0070

Lohr, S. L. (2021). Sampling: Design and analysis. CRC Press.

Lopes, M. A., & Martins, R. A. (2021). Mapping the impacts of industry 4.0 on performance neasurement systems. IEEE Latin America Transactions, 19(11), 1912–1923. https://doi.org/10.1109/TLA.2021.9475625

Ma, B., Limierta, J., Teo, C. C., & Wong, Y. D. (2024). Unveiling consumers’ nonlinear evaluation of service performances in online food delivery: A quantitative Kano analysis. British Food Journal, 126(2), 834–863. https://doi.org/10.1108/BFJ-06-2023-0503

Msallam, A. A., Al Hila, A. A., Naser, S. S. A., & Al Shobaki, M. J. (2020). The effect of total quality management in achieving the requirements of quality of career among university colleges employees. International Journal of Academic Management Science Research (IJAMSR), 4 (10), 45-65.

Nudurupati, S. S., Garengo, P., & Bititci, U. S. (2021). Impact of the changing business environment on performance measurement and management practices. International Journal of Production Economics, 232, 107942. https://doi.org/10.1016/j.ijpe.2020.107942

Nugroho, A., Christiananta, B., Wulani, F., & Pratama, I. (2022). Exploring the association among just in time, total quality and supply chain management influence on firm performance: Evidence from Indonesia (doctoral dissertation, Universitas Ciputra).

Patrucco, A. S., Moretto, A., & Knight, L. (2021). Does relationship control hinder relationship commitment? The role of supplier performance measurement systems in construction infrastructure projects. International Journal of Production Economics, 233, 108000. https://doi.org/10.1016/j.ijpe.2020.108000

Phan, A. C., Nguyen, H. T., Nguyen, H. A., & Matsui, Y. (2019). Effect of total quality management practices and JIT production practices on flexibility performance. Empirical Evidence from International Manufacturing Plants, 11(11), 3093. https://doi.org/10.3390/su11113093

Reddivari, S., Bhowmik, T., & Hollis, C. (2019). Automated support to capture verbal just-in-time requirements via audio mining and cluster-based visualization. Journal of Industrial Information Integration, 14, 41–49. https://doi.org/10.1016/j.jii.2018.06.001

Sadriddinovich, J. T. (2023). Capabilities of SPSS software in high volume data processing testing. American Journal of Public Diplomacy and International Studies, 1(9), 82-86.

Saffar, N. A. G. A., & Obeidat, A. (2020). The effect of total quality management practices on employee performance: The moderating role of knowledge sharing. Management Science Letters, 10(1), 77-90. https://doi.org/10.5267/j.msl.2019.8.014

Sekaran, U. (2017). Metode Penelitian untuk Bisnis Pendekatan Pengembangan-Keahlian. Salemba Empat.

Shafiq, M., Lasrado, F., & Hafeez, K. (2019). The effect of TQM on organisational performance: Empirical evidence from the textile sector of a developing country using SEM. Total Quality Management & Business Excellence, 30(1–2), 31–52. https://doi.org/10.1080/14783363.2017.1283211

Sjödin, D., Parida, V., Jovanovic, M., & Visnjic, I. (2020). Value creation and value capture alignment in business model innovation: A process view on outcome-based business models. Journal of Product Innovation Management, 37(2), 158–183. https://doi.org/10.1111/jpim.12516

Sugiyono. (2019). E-book metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.

Tine, B. P., Yalamanchili, S., & Kim, H. (2020). Tango: An optimizing compiler for just-in-time RTL simulation. In 2020 Design, Automation & Test in Europe Conference & Exhibition (pp. 157-162). IEEE.

Ye, Y., Suleiman, M. A., & Huo, B. (2022). Impact of just-in-time (JIT) on supply chain disruption risk: the moderating role of supply chain centralization. Industrial Management and Data Systems, 122(7), 1665–1685. https://doi.org/10.1108/IMDS-09-2021-0552

Yusuf, A., & Soediantono, D. (2022). Supply chain management and recommendations for implementation in the defense industry: A literature review. International Journal of Social and Management Studies, 3(3), 63-77. https://doi.org/10.5555/ijosmas.v3i3.142

Zhou, B., & Peng, T. (2017). Scheduling the in-house logistics distribution for automotive assembly lines with just-in-time principles. Assembly Automation, 37(1), 51–63. https://doi.org/10.1108/AA-04-2016-028

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Published

2024-03-23

How to Cite

Hasana, R. A. N., & Purwanto, S. (2024). Cost efficiency analysis of logistics and warehouse business. Jurnal Fokus Manajemen Bisnis, 14(1), 97–107. https://doi.org/10.12928/fokus.v14i1.9979

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