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IMPACT OF SUPPLY CHAIN PRODUCTION PLANNING TECHNIQUES ON THE QUALITY OF TABLE WATER IN WARRI METROPOLIS, DELTA STATE, NIGERIA John Udevieme Eru1*, Toju-Eyetigha Patience2, Enaruna Dubem Victor3 and Charles Odeyovwi Okorefe4 1&4Department of Marine Transport and Logistics, Nigeria Maritime University, Okerenkoko, Delta State, Nigeria. 2National Open University of Nigeria, Emevor Study Centre, Delta State, Nigeria. 3Department of Maritime Economics and Finance, Nigeria Maritime University, Okerenkoko, Delta State, Nigeria. *Correspondent E-mail ✉: joneru2001@yahoo.co.uk Accepted April 27, 2025 Supply chain planning has become indispensable to production firms in recent years due to the diverse and competitive markets that these firms operate in. Table water production is a very sensitive and complex market as producers must ensure topmost efficiency in both quality of products as well as meeting market demands. The main objective of this research was to examine the impact of supply chain production planning techniques on the quality of table water in Warri Metropolis. The basis of methodology was influenced by review of extant and related literature which justified the use of variables and statistical tools to examine the PUSH, PULL or PUSH-PULL techniques as applicable in the supply chain production planning process. The data was primary in nature and was sourced using a properly structured questionnaire. The population of the study included 400 targeted personnel, including owners and operators, from table water plants in Warri metropolis. Sampling was done using the Taro Yamane technique and 200 samples were used. The methods of data analysis involved descriptive statistics such as the percentage frequency, as well as the Ordinary Least Squares (OLS) regression technique which was used to test the hypothesis of the study. At 5% level of statistical significance, Control of the supply chain planning (p-value:0.050); Integration with supplier (p-value:0.015); Strategic distribution planning (p-value: 0.000); and supply Chain Decisions (p-value :0.04, all indicate positive impacts on supply chain performance. Collaborative Supply Chain Planning also has a positive impact on supply chain performance though not statistically significant with p-value of 0.121. Based on these results, the null hypothesis which states that there is no significant relationship between the supply chain production planning techniques used and the quality of water sold to final consumers by table (pure) water plants in Warri metropolis, was rejected. Thus, the study concludes that supply chain production planning techniques impact significantly on the quality of table water in the study area. It is recommended that operators in the water production industry should receive at least one form of formal training and production planning must be prioritized. Key words: Supply Chain, Production Planning, Push-Pull, Quality, Table Water, Regression. Full Text PDF (320 KB) |
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