COLD CHAIN LOGISTICS AND THE PERFORMANCE OF FRESH PRODUCE FIRMS IN NAIROBI CITY COUNTY, KENYA

Maureen Chepchirchir Lipwop, Dr. John Achuora

Abstract


The study sought to establish the influence of cold chain logistics on the performance of fresh produce firms in Nairobi City County, Kenya. Specifically, the study intended to determine the influence of cold transportation mode, cold material handling, cold storage and cold information management systems on the performance of fresh produce firms. The study adopted a descriptive research design and a census survey was done on 103 fresh produce firms. The unit of analysis for this study was the fresh produce firms in Nairobi County while the unit of observation was the heads of Supply Chain Management (SCM). A structured questionnaire was used to collect primary data from the respondents. Descriptive statistics were used to describe and summarize data with the help of SPSS. Further, Pearson Correlation was used to test the assumptions of the regression model and multiple regression was used to test the study hypothesized model. The study concludes that cold transportation mode has a positive and significant effect on the performance of fresh produce firms and cold material handling has a positive and significant effect on the performance of fresh produce firms. It also concluded that cold storage facility has a positive and significant effect on the performance of fresh produce firms and that information management system has a positive and significant effect on the performance of fresh produce firms. The study recommends that the management of the fresh produce firms should minimize paper work and maximize usage of information management systems to facilitate supply chain management and to increase their customer service and profitability levels. Also, Adoption of technology in managing information will help the firms improve their efficiency and improve product quality; this will help companies improve their performance.

Key Words: Cold transportation mode, Cold material handling, Performance 


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References


Ashok, A., Brison, M. & LeTallec, (2017), “Improving cold chain systems: challenges and solutionsâ€, 35(17), 2217-2223.

Balaji, M. & Arshinder, K. (2016), “Modeling the causes of food wastage in Indian perishable food supply chainâ€, Resources, Conservation and Recycling. 114, 153-167.

Bibi, F., Guillaume, C., Gontard, N., & Sorli, B. (2017). A review: RFID technology having sensing aptitudes for food industry and their contribution to tracking and monitoring of food products. Trends in Food Science & Technology

Bourlakis, M., Maglaras, G., Aktas, E., Gallear, D. & Fotopoulos, C. (2018), “Firm size and sustainable performance in food supply chains: insights from Greek SMEsâ€, International Journal of Production Economics, 152(2), 112-130.

C2SLDS: A WSN-based perishable food shelf-life prediction and LSFO strategy decision support system in cold chain logistics. Food Control, 38, 19-29.

Coyle, W. W. Hall, & N. Ballenger (2017) “Transportation Technology and The Rising Share of U.S. Perishable Food Tradeâ€, Economic Research Service/USDA, Changing Structure of Global Food Consumption and Trade / WRS-01-1.

Defraeye, T., Cronjé, P., Verboven, P., Opara, U. L., & Nicolai, B. M. (2015). Ambient loading of citrus fruit into reefers for cooling during marine transport by vertical airflow: a CFD analysis. Submitted (in Review).

Emenike, C. C. Van Eyk N. P. & Hoffman, A. J. (2016). Improving Cold Chain Logistics through RFID temperature sensing and Predictive Modelling. IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, 2331-2338.

Frank, B. B. (2018). Corrugated box compression - A literature survey. Packaging Technology and Science, 105–128.

Jaco M. (2020). Profit-making idea: Cold chain solutions in East Africa

Lu, L., Zheng, W., Lv, Z., & Tang, Y. (2015). The State of Food Insecurity in the World - Policy options to address price volatility and high prices, FAO, 2015

Lutukai M, Bunde EA, Hatch B, et al. (2019). Using data to keep vaccines cold in Kenya: remote temperature monitoring with data review teams for vaccine management. Glob Health Sci Pract, 7(4), 585-597.

Matthew T. (2020) A ‘Private-sector Success Story’? Uncovering the Role of Politics and the State in Kenya’s Horticultural Export Sector,

Papargyropoulou, E., Lozano, R., Steinberger, J.K., Wright, N. and bin Ujang, Z. (2014), “The food waste hierarchy as a framework for the management of food surplus and food wasteâ€, Journal Cleaner Production, Vol. 76, pp. 106-115.

PawanexhKohli R. M. (2019) Public-private knowledge partnership redefining the cold-chain Grant, Contemporary Strategy Analysis: Text and Cases, (8 edition), Chichester, West Sussex, United Kingdon: Wiley, 2013.

Qi, L., Xu, M., Fu, Z., Mira, T., & Zhang, X. (2018). Development and application of time–temperature indicators used on food during the cold chain logistics. Packaging Technology and Science, 26, 80-90.

Rao, S., Naftar, S., Baliga, s, & Unnikrishnana, B. (2016). Evaluation, Awareness, Practice and Management of Cold Chain at the Primary Health Care Centers in Coastal South India. Journal of Nepal Paediatric Society, 32(1), 19-22.

Rees, J. (2017) Refrigeration Nation: A History of Ice,Appliances, and Enterprise in America, Johns Hopkins University Press.

Saif, A. & Elhedhli, S. (2016), “Cold supply chain design with environmental considerations: a simulation-optimization approachâ€, European Journal of Operational Research, 251(1), 274-287.

Shabani, A., Torabipour, S.M.R. & Saen, R.F. (2015), “A new super-efficiency dual-role FDH procedure: an application in dairy cold chain for vehicle selectionâ€, International Journal of Shipping and Transport Logistics. 71(4) 426-456.

Shashi, Cerchione, R., Singh, R., Centobelli, P., & Shabani, A. (2018). Food cold chain management: From a structured literature review to a conceptual framework and research agenda. International Journal of Logistics Management, 29(3), 792-821.

Shukla, M. & Jharkharia, S. (2017), “Agri-fresh produce supply chain management: a state-of-the-art literature reviewâ€, International Journal of Operations & Production Management, 33(2), 114-158.

Suriyan S. & Chollawit K. (2020). Efficiency of Ultrasonic Treatment on Postharvest Quality and Bioactive Compounds of ‘Kim Ju’ Guava Fruit During Short-Term Storage at Room Temperature, 2020. The Journal of Development Studies, DOI: 10.1080/00220388.2020.1715944

Tao, Shi, & Wen, H. (2017). Optimization of vehicle routing problem with time windows for cold chain logistics based on carbon tax. Sustainability, 9(5), 694.

USAID. (2016). The fresh fruit and vegetable markets of East Africa: An assessment of regional value chain actors, activities and constraints in Kenya, Tanzania and Uganda.

Xiao, X., He, Q., Fu, Z., Xu, M., & Zhang, X. (2016). Applying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logistics. Food Control, 60, 656-666.

Xing, M.M. & Chang, (2015), “Temperature management for the quality assurance of a perishable food supply chainâ€, Food Control, 40, 198-207.

Yahia, E.M. (2016). Postharvest technology of food crops in the Near East and North Africa (NENA) region. p.643-663. In: R. Dris (ed.), Crops: Quality, Growth and Biotechnology. WFL Publisher, Helsinki, Finland.


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