Supply Chain Optimization and Performance of Agro-Processing Firms in Kiambu County, Kenya

Authors

  • Patrick Nyamweya Jomo Kenyatta University of Agriculture and Technology
  • Dr. Anthony Osoro (Ph.D) Jomo Kenyatta University of Agriculture and Technology

DOI:

https://doi.org/10.47604/ijscm.2651

Keywords:

Supply Chain, Optimization, Performance, Agro-Processing Firms

Abstract

Purpose: The purpose of the study was to establish the relationship between supply chain optimization and performance of agro-processing firms in Kiambu County, Kenya.

Methodology: The study used descriptive research design, where both qualitative and quantitative research was applied. The target population was 240 respondents from the concerned departments in Kiambu County, Kenya. The researcher carried census survey since respondents are manageable. The research technique was purposive random sampling techniques with different stratus. 10% (24) of the respondents were pilot tested for validity and reliability of the research instrument. Data was analyzed using descriptive statistics and inferential statistics with the help of Statistical Package for Social Science version 28 and the same was now presented in a form of tables and figures. The pilot and validity test results was over 0.7 and 0.5 respectively. The research proceeded to actual data collection with few adjustments of research questionnaire. Data was presented in form of tables.

Findings: The study findings indicate that Supply Chain optimization has a broad impact on performance of agro-processing firms in Kiambu County, Kenya. The study revealed that there is a positive relationship between inventory optimization and performance of agro-processing firms, sustainability optimization influences performance of agro-processing firms, demand forecasting had a positive effect on performance of agro-processing firms and there is a positive relationship between reduced cost optimization and performance of agro-processing firms in Kiambu County, Kenya.

Unique Contribution to Theory, Practice and Policy: This study was anchored on inventory theory. The study's recommendation to all firms is that the implementation of supply chain optimization and performance of agro-processing firms in Kiambu County, Kenya was a significant relationship. This study recommends that the best performance of agro-processing firms in Kiambu County, Kenya should strive to be proactive on how to perform better to retain integrity and improve transparency and accountability on performance of agro-processing firms in Kiambu County.

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References

Becker, G. S. (1962). Investment in human capital: A theoretical analysis. Journal of Political Economy, 70 (5).

Bratton J. (Eds.). (2003). Strategic human resource management, Theory and Practice (Second edition ed.) .USA, North America .

Carver, R. (1996). Theory for practice: A framework for thinking about experiential education. Journal of Experiential Education, 19 (1), 8-13

Daud, Y. Multi objective optimization of a multiregional electricity system in an archipelagic state: The role of renewable energy in energy system sustainability. Renew. Sustain. Energy Rev. 201777, 423-439.

Dhunny, A.Z.; Allam, Z.; Lobine, D.; Lollchund, M.R. Sustainable renewable energy planning and windfarming optimization from a biodiversity perspective. Energy 2019,185, 1282-1297.

Dincer, I.; Zamï¬rescu, C. Sustainability Dimensions of Energy. Compr. Energy Syst. 2018,1, 101-152

Fan, Y.; Xia, X. A multi-objective optimization model for energy-efficiency building envelope retroï¬tting plan with rooftop PV system installation and maintenance. Appl. Energy 2017,189, 327-335.

Goudarzi, S.; Anisi, M.H.; Kama, N.; Doctor, F.; Soleymani, S.A.; Sangaiah, A.K. Predictive modelling of building energy consumption based on a hybrid nature-inspired optimization algorithm. Energy Build.2018,196, 83-93.

Jawahar, N.; SatishPandian, G.; Gunasekaran, A.; Subramanian, N. An Optimization Model for Sustainability Program. Ann. Oper. Res. 2017,250, 389-425.

Li, H.; Wang, S. Coordinated optimal design of zero/low energy buildings and their energy systems based onmulti-stage design optimization. Energy 2019,189, 116202.

Management, No. 3, 27-28.

Meng, K.; Lou, P.; Peng, X.; Prybutok, V. Multi-objective optimization decision-making of quality dependent product recovery for sustainability. Int. J. Prod. Econ. 2017,188, 72-85

Okumu, E. A., & Bett, S. (2019). Inventory management practices and organization performance of steel industries in Kiambu County, Kenya. International Journal of Current Aspects, 3(III), 71-82.

Ongeri, N.V. and Osoro, A. (2021) Effect of Warehouse Consolidation on Performance of Registered Distribution Firms in Kiambu City County, Kenya. The international journal of business & management Publications, Volume 9, Issue 10, October 2021 ISSN 2321-8916.

Pratama, Y.W.; Purwanto, W.W.; Tezuka, T.; McLellan, B.C.; Hartono, D.; Hidayatno, A.;

Vincent, J.L.; Gan, H.K.; Wong, K.T.; Tse, J.C.P.; Cheng, I.M.C.; Lo, C.M.C. Simulation-based evolutionary optimization for energy-efficient layout plan design of high-rise residential buildings. J. Clean. Prod.2019,231, 1375-1388.81.

Zhang, B. (2013) Supply Chain Management Theory and Its Application. Enterprise Reform and Management, No. 3, 27-28.

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Published

2024-06-08

How to Cite

Nyamweya, P., & Osoro, A. (2024). Supply Chain Optimization and Performance of Agro-Processing Firms in Kiambu County, Kenya. International Journal of Supply Chain Management, 9(3), 24–45. https://doi.org/10.47604/ijscm.2651

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