Journal of Advances in Developmental Research
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Strategic Management of Raw Material Inventory Variability in the Food Industry: Insights for Operations Managers, Supply Chain Leaders, and Industry Executives
| Author(s) | Luis Polo |
|---|---|
| Country | Venezuela |
| Abstract | This paper summarizes the key concepts presented in the book “Inventory Variation in Raw Materials in the Food Industry: A Practical and Analytical Approach,” authored by Luis Polo, Direct Sourcing & Supply Chain Head for Dairy and Liquid Categories in Venezuela and Chile, and invited professor at Nestlé’s International Executive Learning and Development Center, Rive Reine, Switzerland. The author is recognized for his expertise in data analytics and early initiatives in artificial intelligence within industrial environments. The food industry operates under high variability driven by perishability, seasonal supply, demand uncertainty, and logistical constraints, all of which significantly impact inventory accuracy and operational performance. This study analyzes the main drivers of inventory variation and proposes practical approaches to improve resilience and efficiency in supply chains. The analysis is supported by large-scale industrial references, including a global manufacturing network of approximately 442 factories across more than 180 countries, operating under a mixed structure of owned facilities, joint ventures, and affiliates. The paper integrates mass balance principles, process variability, and early-stage analytical models to define acceptable variation ranges across different industry segments. It also examines the limitations of mid-2010s industrial environments, including data constraints, fragmented systems, and early-stage AI adoption. Additionally, it highlights the importance of forecasting tools, safety stock optimization, and coordinated planning processes such as S&OP. The objective is to provide a practical framework for decision-makers to define realistic inventory tolerances, improve accuracy, and enhance operational efficiency in complex food supply chains.. |
| Keywords | Raw Material Inventory Variability, Food Supply Chain Management, Demand Forecasting, Inventory Optimization, Supply Chain Resilience, Perishable Goods Management |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 7, Issue 1, January-June 2016 |
| Published On | 2016-01-08 |
| Cite This | Strategic Management of Raw Material Inventory Variability in the Food Industry: Insights for Operations Managers, Supply Chain Leaders, and Industry Executives - Luis Polo - IJAIDR Volume 7, Issue 1, January-June 2016. DOI 10.71097/IJAIDR.v7.i1.1845 |
| DOI | https://doi.org/10.71097/IJAIDR.v7.i1.1845 |
| Short DOI | https://doi.org/hbx2ss |
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