The Effect of Production Planning Practices on Supply Chain Performance: A Case Study of Corteva Agriscience (Z) Ltd
DOI:
https://doi.org/10.5281/zenodo.13368647Keywords:
production planning, multiple linear regression, supply chain management, corteva, zambiaAbstract
This Paper investigates the effects of production planning practices on supply chain performance at Corteva Agriscience Zambia, utilizing a case study approach with 60 actively involved employees. The study identifies key production planning practices in use which including Capacity Planning, Aggregate Planning, Operational Planning, Production Scheduling, Inventory Management, and Demand Planning & Forecasting, revealing their widespread adoption. It also examines how these practices assess supply chain performance. A multiple linear regression analysis is performed to gauge their impact, showing positive effects of Aggregate Planning, Capacity Planning, and Production Scheduling, while Materials Resources Planning (MRP) and Demand Planning & Forecasting have limited influence. These findings contribute to the supply chain management field and provide actionable recommendations for improving production planning in manufacturing organizations.
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