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Simulation Modeling and Analysis of In-Plant Logistics at a Cement Manufacturing Plant in India
Authors: Sachin Kamble, Shradha Gawankar
Abstract:
This paper presents the findings of successful implementation of Business Process Reengineering (BPR) of cement dispatch activities in a cement manufacturing plant located in India. Simulation model was developed for the purpose of identifying and analyzing the areas for improvement. The company was facing a problem of low throughput rate and subsequent forced stoppages of the plant leading to a high production loss of 15000MT per month. It was found from the study that the present systems and procedures related to the in-plant logistics plant required significant changes. The major recommendations included process improvement at the entry gate, reducing the cycle time at the security gate and installation of an additional weigh bridge. This paper demonstrates how BPR can be implemented for improving the in-plant logistics process. Various recommendations helped the plant to increase its throughput by 14%.Keywords: Business process reengineering, simulation modeling, in-plant logistics, distribution process, cement industry.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1111773
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[1] Aguezzoul, A. (2014), “Third-party logistics problem: A literature review on criteria and methods”, Omega: International Journal of Management Science, Vol. 49, pp. 69–78.
[2] Boyson, S., Corsi, T., Dresner, M. and Rabinovich, E. (1999), “Managing effective third party logistics partnership: What does it take?”, Journal of Business Logistics, Vol. 20 No. 1, pp. 73–100.
[3] Jonsson, P. (2008), “Logistics and supply chain management”, Berkshire, UK: McGraw- Hill.
[4] Hsu, C. H., Wang, F.-K., and Tzeng, G.-H. (2012), “The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR”, Resources, Conservation and Recycling, Vol. 66, pp. 95–111.
[5] Farahani, R. Z., Rezapour, S. and Karadar, L. (2011), “Logistics operations and management”, Elsevier. 32 Jamestown Road London NW1 7BY 225 Wyman Street, Waltham, MA 02451, USA.
[6] Soeanu, A., Debbabi, M., Alhadidi, D., Makkawi, M., Allouche, M., Belanger, M. and Léchevin, N. (2015), “Transportation risk analysis using probabilistic model checking”, Expert Systems with Applications, Vol. 42 No. 9, pp. 4410–4421.
[7] Wang, Y., Ma, X., Lao, Y. and Wang, Y. (2014). “A fuzzy-based customer clustering approach with hierarchical structure for logistics network optimization”, Expert Systems with Applications, Vol. 41 No. 2, pp. 521–534.
[8] Alkhatib, S. F., Darlington, R., Yang, Z. and Nguyen, T. T. (2015), “A novel technique for evaluating and selecting logistics service providers based on the logistics resource view”, Expert Systems with Applications, Vol. 42 No. 15, pp. 6976–6989
[9] Grant, D. (2016), “Business analysis techniques in business reengineering”, Business Process Management Journal, Vol. 22 No, 1, pp.75 – 88
[10] Rinaldi, M, Montanari, R. and Bottani, E. (2015), “Improving the efficiency of public administrations through business process reengineering and simulation: A case study”, Business Process Management Journal, Vol. 21 No. 2, pp. 419-462.
[11] Asika, N. and Awolusi, O.D. (2013), “Modelling critical success factors of business process reengineering and business performance of Nigerian oil and gas companies”, International Journal of Services and Operations Management, Vol 15 No.1, pp. 28 – 43
[12] Goksoy, A., Ozsoy, B. and Vayvay, O. (2012), “Business Process Reengineering: Strategic Tool for Managing Organizational Change an Application in a Multinational Company”, International Journal of Business and Management, Vol. 7 No. 2, pp. 89 – 112.
[13] Gunasekaran, A., Walter, W., Chung and Kan, K. (2000) ‘Business process reengineering in a British company: a case study’, Logistics Information Management, Vol. 13 No. 5, pp.271–285.