Omnichannel retail methods, including e-commerce, TikTok and other C-end channels, create uncertainty in demand planning and inventory preparation, increasing supply chain response difficulty
Midstream food industry categories have many SKUs (based on packaging specifications, promotional activities), which affects planning complexity
Lack of effective analysis of historical data prevents future market forecasting, causing imbalance between supply and demand in alcoholic beverages
Shelf-life rules make calculations of available inventory and inventory age complex
(Production/replenishment/procurement) batch and lot rules are numerous and complex, requiring high-performance optimization algorithms
The food processing industry has high requirements for raw material procurement, quality and traceability
Downstream industry chains affect food and beverage processing plans, such as special business scenarios like wholesale/near-expiry/bottle return
Recipes are complex, some requiring super BOM or formulas for planning formulation and management
Main plan considering various constraints promotes production-sales balance across regions through production task allocation and mold allocation
20% reduction in changeover frequency (especially major cleaning) increases capacity by 5%
Total inventory turnover days reduced from 44 to 28 days
Optimize procurement strategies considering supplier lead times, material inspection cycles and other lead times; coordinate with production plans to track procurement arrivals and adjust production plans accordingly; combine with inventory warning mechanisms to promptly identify inventory accumulation and excess situations for rapid response
Group-wide production-sales coordination considers the entire supply chain from "market demand - distributor inventory - marketing strategy - production capacity satisfaction - material kit satisfaction - inventory level control - sales/distributor allocation - shipping arrangement" for end-to-end global consideration, production-sales coordination, consistent planning, and integrated management
Check inventory supply assurance and in-process production supply assurance under demand fluctuations and changes; quickly adjust production plans based on gaps to ensure demand satisfaction; Considering shelf-life constraints, minimize inventory while meeting demand supply to avoid finished product losses; When inventory accumulation or obsolescence risks exist, automatically prompt warnings, verify shipment plans against demand satisfaction, and assist in adjusting production plans to avoid inventory accumulation
For multi-product mixed-line production, algorithms consider economic batch sizes and optimize changeover sequencing to reduce changeover losses and balance multi-process capacity to avoid semi-finished product losses Possess rapid calculation and decision-making capabilities; when demand changes, can calculate plan changes based on material kits and actual capacity to respond promptly to demand changes
Built a "Packaging Workshop Digital Platform" based on business and data flows, enabling full-process traceability of the entire production process from orders to product completion in the packaging workshop.
Achieved systematic management of scheduling plans, considering multiple complex planning factors, effectively improving planning scheduling efficiency and abnormal response speed.
Achieved collaboration between the group's central planning center and factory planning departments across multiple factories, establishing a central planning control model supported by factory planning.
Established an intelligent production planning system that schedules production under constraints of limited resources for people, machines, and materials, solving the requirements for central kitchen scheduling and refined production operations management.