Research Article | Open Access
Volume 8 | Issue 4 | Year 2021 | Article Id. IJEMS-V8I4P105 | DOI : https://doi.org/10.14445/23939125/IJEMS-V8I4P105

Teasing The Relationship Between Collaborative Planning System For Maritime Supply Partners And Enhancement of The Operation of The Port In Namibia


Kakonda Rebecca T, Dr. Kavindame Romanus Kawana

Citation :

Kakonda Rebecca T, Dr. Kavindame Romanus Kawana, "Teasing The Relationship Between Collaborative Planning System For Maritime Supply Partners And Enhancement of The Operation of The Port In Namibia," International Journal of Economics and Management Studies, vol. 8, no. 4, pp. 43-51, 2021. Crossref, https://doi.org/10.14445/23939125/IJEMS-V8I4P105

Abstract

There is a linkage on management, planning, and cohesiveness remained a challenging factor to fully explore the Namibian Transportation and Supply Chain Management potential in the country. The problem identified is that Namibia maritime supply chain partners are facing challenges to work together to enhance the operations of the ports in Namibia due to a lack of a collaborative planning system. The study intended to analyze key elements and factors that are critical to Collaborative Planning, Forecasting and Replenishment CPFR as a measure to improve the cooperative of all stakeholders in the industry throughout the supply chain management system through improved transportation and cargo handling. Information shared between suppliers and retailers aids in planning, and satisfying customer demands through a supportive system of shared information. This allows for continuous updating of inventory and upcoming requirements, making the end-to-end supply chain process more efficient. The main objective of the study is to investigate the role of a collaborative planning system for maritime supply chain partners in enhancing port operations in Namibia. Seven Institutions, which are the partners in the maritime supply chain, namely Namport, TransNamib, Road fund administration, Roads authority, Air Namibia, Airport Company, and NCCI, participated in this study, whereby for each institution, 10 respondents were purposefully selected. An open-ended and closed ended questions, which will be used to uncover the role of cps in enhancing port operation in Namibia. 77.1% of the participants felt that poor communication within the planning system results in poor service delivery, while 85.3% agreed that the lack of a planning system leads to inefficiency and ineffective service delivery. Due to the findings that Port Management and Governance Plays a big role in the collaborative planning system, there is a need for the Government of the Republic of Namibia to establish a working committee at the National Level to oversee the aspects of the Collaborative Planning System for Supply Chain Partners. It will be good if the Ministry of Works and Transport, supported by the National Planning Commission, Spearheads this committee.
The findings of the study also reveal that, the capacity building plays a key in enhancing port operation, is as much as a collaborative planning system is concerned. Therefore, it is recommended, that the Government need to find a way to continuously build capacity for the port of Namibia in order to maintain and sustain a collaborative planning system effective.

Keywords

Maritime Supply Partners

References

[1] Air Namibia, Air Namibia, viewed 10 September (2012), from www. airnamibia. com. na
[2] Ascension L. M., González-Ramirez, R.G., Bearzotti, L.A., Smith, N.R., & Camacho-Vallejo, J.F., A collaborative supply chain management system for a maritime port logistics chain. doi: nnahttp://www.scielo.org.mx/pdf/jart/v12n3/v12n3a10.pdf ., (2014).
[3] Barros Neto, W., de Paiva Gomes, L. C., Severino, M. R., & Godinho Filho, M. (2017). A decision support framework for production flow coordination using supply chain management practices, ordering systems, and modeling techniques. In M. Amorim, C. Ferreira, M. Vieira Junior, & C. Prado (Eds.), Engineering Systems and Networks. Lecture Notes in Management and Industrial Engineering (pp. 71-77). Cham, Switzerland: Springer.
[4] CIA, 2012, Fact book: Namibia, viewed 10 July 2012, from https://www.cia.gov/library/ publications/the-world-fact book/geos/wa.html.
[5] Christopher J. Savage1 Logan Fransman1 Andrew K. Jenkins Logistics in Namibia: Issues and challenges. The Polytechnic of Namibia, Namibia., (2013).
[6] Essays, UK., A Study on Using Mixed Methods in Research Psychology.,(2013). Essay. Retrieved from https://www.ukessays.com/essays/psychology/a study on Using mixed methods in research psychology essay.php?cref=1
[7] Fernández, I., García, N., Pino, R., & de la Fuente, D., Supply chain
management: The systemic challenge. In Advances in Management Engineering (2017) 109-119. Cham, Switzerland: Springer
[8] Gandhi, A. V., Gandhi, A. V., Shaikh, A., Shaikh, A., Sheorey, P. A., & Sheorey, P. A., Impact of supply chain management practices on firm performance: Empirical evidence from a developing country. International Journal of Retail &Distribution Management, 45(4)(2017) 366-384.
[9] Hollmann, R. L., Scavarda, L. F., & Thomé, A. M. T. (2015). Collaborative planning, forecasting, and replenishment: A literature review. International Journal of Productivity and Performance Management, 64(7), 971-993.
[10] Holmstrőm, J., Småros, J., Disney, S. M., & Towill, D. R., Collaborative supply chain Configurations: The implications for supplier performance in production and Inventory control. In Developments in Logistics and Supply Chain Management (2016) 27-37. Basingstoke, UK: Palgrave Macmillan.
[11] Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L., Multivariate Data Analysis (7th ed.). USA: Pearson Prentice Hall., (2013).
[12] Hu, L., & Bentler, P. M., Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1)(1999) 1-55. doi:10.1080/10705519909540118
[13] Ivanov, D., Tsipoulanidis, A., & Schönberger, J., Operations and Supply Chain Ponte,Strategy. In Global Supply Chain and Operations Management (2017) 69-96. Springer International Publishing.
[14] Jia, Z. Z., Deschamps, J. C., & Dupas, R., A negotiation protocol to improve planning Coordination in transport-driven supply chains. Journal of Manufacturing Systems, 38(2016) 13-26.
[15] Kline, P., An Easy Guide For Factor Analysis. New York, USA: Routledge., (1994).
[16] Kumar, G., Banerjee, R. N., Meena, P. L., & Ganguly, K. K., Joint planning and Problem-solving roles in supply chain collaboration. IIMB Management Review, 29(1)(2017) 45-57.
[17] Pallant, J., SPSS survival manual: A step-by-step guide to data analysis using SPSS. England: Open University Press.
[18] Peter M. Ralston, R. Glenn Richey, Scott J. Grawe, The past and future of supply chain Collaboration: a literature synthesis and call for research, The International Journal of Logistics Management, 28(2)(2017) 508-530.
[19] Ramanathan, U., How Smart Operations Help Better Planning and Replenishment: Empirical Study–Supply Chain Collaboration for Smart Operations. In Supply Chain Management in the Big Data Era (2017) 25-49. IGI Global.
[20] Springer, Cham.; Ślaski, P., Logistics Processes Management in Supply Chain. Archives of Business Research, 5(1)(2017).
[21] Stevens, G. C., & Johnson, M., Integrating the Supply Chain… 25 years On. International Journal of Physical Distribution & Logistics Management, 46(1)(2016) 19-42.
[22] Seifert, T. Baltic Sea Science Congress 2003 Helsinki: August 24-28, (2003)
[23] Seifert, D., Collaborative planning, forecasting, and replenishment: How to create a supply chain advantage. New York: AMACOM., (2003).
[24] Savage, C., Fransman,L. & Jenkins, A.K., Logistics in Namibia: Issues and challenges. The Polytechnic of Namibia., (2013).
[25] Tabachnick, B. G., & Fidell, L. S. (Using multivariate statistics). Using multivariate statistics.Boston: Pearson/Allyn & Bacon.