Warehouse Analytics in Supply Chain Management Certification

Examine traditional warehouse location models that favor weight- and volume-losing raw materials near production sources, while non weight-losing materials stay near markets, with transport and information technology advances reshaping norms.

The factor rating model is a simple, location decision method for warehouses and production sites. It guides SMEs to rate factors—workers, raw materials, and nearness to market—on a 1–5 scale.

Evaluate three warehouse locations by scoring workers, fabric, and market with weights of 5, 4, and 3, producing Noida's 103 score and guiding the most attractive choice.

Use a factor rating model to compare locations like Chandigarh, Pune, Noida, and Bombay by worker cost, water availability, and market proximity. Chandigarh is the most attractive.

Use the break-even model to compare fixed and variable costs across Noida, Delhi, and Mumbai for five to fifteen lakh units, guiding warehouse location.

Apply the center of gravity model to locate a warehouse using demand data and geographical coordinates, calculating weighted x and y centers when cost data is unavailable.

Apply the Ardalan heuristic to decide the sequence of warehouse or store locations, opening one first and expanding gradually based on distances, market demand, and market importance.

apply the ardalan heuristic model pt 2 to select warehouse sites using a distance matrix weighted by demand and market importance, iteratively choosing the lowest score and updating.

Given fixed warehouses and markets, with known demand, supply, and transportation costs, determine shipment quantities from each warehouse to each market to minimize total transportation cost.

Form a linear programming model to minimize total transportation cost by deciding shipment quantities from warehouses to demand cities, subject to supply and demand constraints.

Assess how space requirements in a warehouse vary by product type, with examples. Determine stacking heights and aisle needs, and apply the 30 percent extra space rule for optimal layout.

Explore typical warehouse layout diagrams, gates, docking and staging areas, aisles, racks, and forklift routes to grasp space calculation, QA, charging points, and receiving and despatch workflows.

Calculate warehouse space by adding the staging and loading areas with the storing area, and plan frequent in and out patterns to minimize how long products stay.

Apply the EOQ formula to weekly demand to determine the economic order quantity, about 634 units, implying 1,584 annual orders and highlighting warehouse space trade-offs seen in Amazon models.

Explore abc and fsn analysis to prioritize warehouse space and item placement, applying pareto principles to stock decisions, from fast-moving essentials to slow-moving and non-moving items, with eoq-driven savings.

Explore space calculation for staging and docking areas in a warehouse using the dock space formula that rounds up loads received in two hours per shift to determine pallets.

Analyze warehouse capacity with 40 trucks daily, each with 52 pallets occupying 2 by 2.4 meters. Calculate unload and stage time within a 10-hour shift and pallet space, rounding up.

Calculate the loading and staging area by sizing pallet space and doubling movement space to total 3744 m square, then determine the space required for the racks.

Calculate the rack layout by determining the module width from aisles, pallet widths, and clearance, ensuring space for forklifts, pallets, and worker movement between racks.

Determine the module length by summing the iron beam width, three clearances, and pallet lengths to allocate space for two pallets across the rack.

Determine the module height as the sum of the ion beam height, the empty pallet height, the permissible carton height, and clearance above the pallet.

Calculate warehouse space by converting dimensions to meters, comparing pallet and carton volumes to determine max cartons, then apply module calculations for aisles, clearances, and stacking height.

Calculate carton and pallet volumes, determine cartons per pallet and total pallets, then compute stacking modules and storage area to optimize warehouse space through regular deliveries.

Master warehouse analytics to minimize costs using space calculation models, inventory analyses (ABC/XYZ/FSN), and just-in-time synchronization, including cross-docking strategies.