The Role
Configure and optimize Blue Yonder ESP/MPS for multi-plant batch manufacturing: model constraints, translate BOM and resource capacities into solver configurations, balance OEE, material and vendor limits, debug ESP solver logs and constraint traces, and communicate optimization outcomes to plant managers.
Summary Generated by Built In
Domain Persona: Industrial Operations Operations Research Planner & Capacity Architect
Key Core Tables: SKU, PRODUCTIONMETHOD, BOM, RES, RESEFF, PLANORDERS
Differentiated Responsibilities:
Constraint-Based Network Modeling: Translate complex, multi-stage manufacturing plants, production line
capacities, infinite vs. finite resource windows, and multi-tier Bill of Materials (BOM) into linear programming or
heuristic solver configurations.
Master Production Scheduling (MPS) Optimization: Configure the ESP solver engine to resolve complex
trade-offs between manufacturing asset utilization (OEE), raw material constraints, vendor capacities, and
cross-plant component sharing.
Target Role-Specific Experience & Skills:
Proven track record handling multi-plant, highly constrained batch-manufacturing environments (e.g., chemical,
food processing, or high-volume consumer packaging).
Deep operational mastery over master data structures governing production yields, setup-times, changeovers,
and co-product/by-product logic.
Advanced capability to debug ESP solver logs, analyze constraint traces, and explain linear optimization paths
to plant managers.
Skills Required
- Experience configuring Blue Yonder Enterprise Supply Planning (ESP) / MPS solver engines
- Proven track record handling multi-plant, highly constrained batch-manufacturing environments (chemical, food processing, high-volume packaging)
- Ability to translate multi-stage manufacturing, production line capacities, and multi-tier BOM into linear programming or heuristic solver configurations
- Deep mastery of master data structures governing production yields, setup-times, changeovers, and co-product/by-product logic
- Advanced capability to debug ESP solver logs, analyze constraint traces, and explain optimization paths to plant managers
- Familiarity with key planning tables: SKU, PRODUCTIONMETHOD, BOM, RES, RESEFF, PLANORDERS
- Experience optimizing trade-offs among manufacturing asset utilization (OEE), raw material constraints, vendor capacities, and cross-plant component sharing
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The Company
What We Do
AlgoLeap specializes in AI-powered software solutions, digital product engineering, and IT consulting services, focusing on digital transformation and AI-driven innovation.
