Order Batching and Performance of Food and Beverage Manufacturing Firms in Kenya

Authors

  • Nyamwaro Lorna Kerubo Scholar, Jomo Kenyatta University of Agriculture and Technology image/svg+xml
  • Dr. Elizabeth Wachiuri, (PhD) Senior Lecturer: Jomo Kenyatta University of Agriculture and Technology image/svg+xml
  • Dr. Eric Namusonge, (PhD) Senior Lecturer, Taita Taveta University, Kenya

DOI:

https://doi.org/10.61108/ijsshr.v3i2.196

Keywords:

Order Batching, Correlated Ordering, Random Ordering, Balanced Ordering, Performance

Abstract

This study examined the relationship between order batching as a component of the bullwhip effect and the performance of food and beverage manufacturing firms in Kenya. The research was motivated by persistent inefficiencies in the sector’s supply chain, including inventory volatility, rising operational costs, and stagnant contribution to GDP despite the Vision 2030 target of 20%. Order batching, manifested through correlated, random, and balanced ordering, has been identified in literature as a key driver of demand variability and operational inefficiencies. The study adopted a descriptive research design with a post-positivist philosophical approach. The target population was 217 food and beverage firms registered by the Kenya Association of Manufacturers, from which 208 respondents were sampled using simple random sampling. Primary data was collected through structured and unstructured questionnaires and analyzed using SPSS version 25. Both correlation and regression analyses were applied. The findings revealed that order batching significantly and positively influences firm performance, explaining 72.3% of the variance. Specifically, batching improved production efficiency, resource utilization, cost savings, and customer responsiveness. The study concludes that effective batching strategies mitigate the bullwhip effect and enhance profitability, sales volume, and market share. It recommends adoption of demand-driven, collaborative, and balanced batching practices to improve competitiveness.

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References

. Atieno, O. E., & Karuti, J. M. (2019). Effect of supply chain disruptions on the performance of food manufacturing firms in Kenya. International Journal of Business and Management, 7(3), 98-115.

. Barney, J. B. (2018). Gaining and Sustaining Competitive Advantage. Addison – Wesley Publishing Company, New York

. Barratt, M. (2018). "Understanding the meaning of collaboration in the supply chain", Supply Chain Management: An International Journal, 9(1),30-43.

. Boute, R. N., Lambrecht, M. R., & Van Houdt, B. (2017). Performance evaluation of a production/inventory system with periodic review and endogenous lead times. Naval Research Logistics, 54(4) 462–473.

. Boz, E., & Aras, N. (2022). The order batching problem: A state-of-the-art review. Sigma Journal of Engineering and Natural Sciences, 40(2), 402–420. https://dergipark.org.tr/en/download/article-file/2470183

. Buchmeister, Pavlinjek & Palcic (2015). Bullwhip effect problem in supply chains in Slovenia. Advances in Production Engineering & Management Journal; 1, 45-55.

. Buzzell R. (2017), "The Costly Bargain of Trade Promotion," Harvard Business Review, 6 (8), 141-148

. Chen, L. (2017). Bullwhip effect measurement and its implications. Operations Research, 60(4), 771–784.

. Chen, L., & Lee H., (2018). Bullwhip Effect Measurement and Its Implications. Fuqua School of Business, Duke University, Durham, NC 27708, pp. 12 – 22

. Dimitrios, P. (2015). The effect of inventory management on firm performance. International journal of productivity and performance management, 3, 57-62.

. Graves S., (2009) A single-item inventory model for a non stationary demand process. Manufacturing & Service Operations Management, 1(1), 50–61,

. Hopp, W. J., & Spearman, M. L. (2015). Factory Physics. Irwin, McGraw-Hill, 2nd edition,.

. https://doi.org/10.1016/j.jbusres.2021.10.056

. Jiang, L., Wang, S., & Wang, X. (2021). Order batching and sequencing for minimizing the total order completion time in pick-and-sort warehouses. Expert Systems with Applications, 187, 115943. https://doi.org/10.1016/j.eswa.2021.115943

. Joseph, H., & Wilck, V. (2017); Managing the Bullwhip Effect; Dual Degree, Industrial Engineering And Operations Research, College Of Engineering

. Pardo, E. G., Gil-Borrás, S., Alonso-Ayuso, A., & Duarte, A. (2024). Order batching problems: Taxonomy and literature review. European Journal of Operational Research, 1, 1–24. https://doi.org/10.1016/j.ejor.2023.02.019

. Saremi H. & Seydeh., M.Z. (2018). Management of Distribution Channels. Indian Journal Science Resources, 5(3), 452-456.

. Sorescu, A., Frambach, R., Singh, J., Rangaswamy, A. & Bridges, C. (2017).‘Innovations in Retail Business Models’.Journal of Retailing,8 (1) 3-16.

. South African Reserve Bank. (2021). Understanding South Africa's trade policy and performance (Working Paper No. 2117).

. South African Reserve Bank. (2023). Inflation and labour markets in the wake of the pandemic. BIS Papers No 142, 273-276.

. Yigitbasioglu O. (2019). Price fluctuationswith key suppliers. International Journal of Physical Distribution and Logistics Management, 40(7), 550-578.

. Zhang X., & Lu Q. (2016). Impact of Customer Response to Stock-out on Bullwhip Effect: Under Supply Chain Disruption[J]. Chinese Journal of Management Science, 24(7): 54-62.

. Zhao, X., & Wang, Y. (2022). Gig worker learning: An empirical study on on-demand delivery. Journal of Business Research, 139, 1234–1245.

. Zhou, X., & Lai, K. K. (2020). A comparative study of demand forecasting models for a multi-store retailer. Journal of Big Data, 7, Article 71. https://doi.org/10.1186/s40537-020-00358-1

. Zulu, S., & Banda, H. (2015). The implications of labour productivity and labour costs on the South African economy. Journal of Economics and Behavioral Studies, 7(6), 19-29.

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Published

2025-09-16

How to Cite

Nyamwaro, L. K., Wachiuri , E. W., & Namusonge , E. (2025). Order Batching and Performance of Food and Beverage Manufacturing Firms in Kenya . International Journal of Social Science and Humanities Research (IJSSHR) ISSN 2959-7056 (o); 2959-7048 (p), 3(2), 156–167. https://doi.org/10.61108/ijsshr.v3i2.196