BUS 370: Managing Inventory Notes

Chapter Objectives

  • Understand various roles of inventory including different types and drivers.
  • Differentiate between independent demand and dependent demand inventory.
  • Calculate restocking levels for periodic review systems.
  • Compute Economic Order Quantity (EOQ) and Reorder Point (ROP) for continuous review systems.
  • Identify best order quantity when volume discounts are available.
  • Determine target service level and target stocking point for single-period inventory systems.
  • Recognize how inventory decisions influence the supply chain.

Definition of Inventory

  • Inventory refers to stocks or items for:
    • Supporting production (raw materials and work-in-progress)
    • Supporting activities (maintenance, repair, and operations)
    • Customer service (finished goods and spare parts).

Forms of Inventory

  • Raw Material: Oranges.
  • Work-in-scale: Empty cans/components.
  • Finished Goods: Filled & sealed cans.
  • Notably, inventory constitutes about 30% of current assets in a typical company.

Types of Inventory

  • Cycle Stock: Inventory received in bulk, gradually used, then replenished.
  • Safety Stock: Extra inventory to protect against uncertainties in demand or replenishment.
  • Anticipation Inventory: Held in anticipation of customer demand.
  • Hedge Inventory: Built-up inventory to buffer against potential events (e.g., strikes, price increases).
  • Transportation Inventory: Moving inventory between supply chain links.
  • Smoothing Inventories: Used to reconcile production levels with demand.

Inventory Drivers

  • Four business conditions that lead to inventory holding:
    • Uncertainty: Results in safety or hedge stock.
    • Mismatch in Demand: Leads to cycle or smoothing inventory.
    • Production Capacity Issues: Necessitates smoothing inventory.
    • Timing Mismatches: Creates anticipation and transportation inventories.

Independent vs Dependent Demand

  • Independent Demand: Demand is influenced by external factors beyond firm control (e.g., retail goods).
  • Dependent Demand: Demand is intrinsically tied to another item’s production (e.g., parts of a finished product).

Inventory Management Systems

  1. Periodic Review System: Checks inventory at regular intervals to replenish to a predetermined level.

    • Restocking Level Calculation:
      R=RP+L+(AverageextDemandimes(RP+L))+ZimesextStandardDeviationR = RP + L + (Average ext{ Demand} imes (RP + L)) + Z imes ext{Standard Deviation}
  2. Continuous Review System: Tracks inventory levels continuously, triggering orders upon reaching reorder points. Reorder Point (ROP) is determined by
    ROP=dimesLROP = d imes L where dd = Demand Rate, LL = Lead Time.

  3. Single Period Inventory: Applicable for products with a single sales opportunity (e.g., seasonal items).

    • Balances shortage and excess costs.

Economic Order Quantity (EOQ)

  • Formula: EOQ=extsqrt2DSHEOQ = ext{sqrt}\frac{2DS}{H} where:
    • DD = Demand
    • SS = Cost per order
    • HH = Holding cost per unit.
Example Calculation
  • For 2000 fans:
    • S=10S = 10, H=4H = 4
    • EOQ yields:
      EOQ=extsqrt2imes2000imes104=200EOQ = ext{sqrt}\frac{2 imes 2000 imes 10}{4} = 200

Reorder Point and Safety Stock

  • ROP is calculated as ROP=dimesLROP = d imes L under constant demand/lead times.
  • Safety stock covers variability in demand and lead times. The formula to include safety stock is:
    ROP=dimesL+ZimesextStandardDeviationROP = d imes L + Z imes ext{Standard Deviation}

Volume Discounts

  • Assess ordering with volume discounts by calculating the total costs for both regular and discounted order sizes, ensuring cost efficiency.
Example
  • Order quantities influence total annual costs. For instance, ordering at discounted volume results in lower costs compared to standard EOQ calculations.

Conclusions

  • Inventory management requires balancing order quantities, lead times, and demand uncertainties. Consider price breaks when ordering in larger quantities to keep costs minimized.
  • The bullwhip effect illustrates how small demand changes can significantly impact inventory upstream in the supply chain.