Operations Management: Sustainability and Supply Chain Management - Chapter 12 Inventory Management

Operations Management: Sustainability and Supply Chain Management

Chapter 12: Inventory Management

Copyright
  • © 2023, 2020, 2017 Pearson Education, Inc. All Rights Reserved

Outline

  • Global Company Profile: Amazon.com

  • The Importance of Inventory

  • Managing Inventory

  • Inventory Models

  • Inventory Models for Independent Demand

  • Probabilistic Models and Safety Stock

  • Single-Period Model

  • Fixed-Period (P) Systems

Inventory Management at Amazon.com

1. Introduction to Amazon.com
  • Amazon.com started as a “virtual” retailer with no inventory, warehouses, or overhead.

  • Current status: Amazon has evolved into a world leader in warehousing and inventory management due to growth.

2. Inventory Management Processes
  • Each customer order is assigned by computer to one of Amazon's distribution centers.

  • Use of robots and technology enhances employee productivity:

    • Average picker's productivity increased from 100 items/hour to 300-400 items/hour.

  • Items are placed into crates on conveyors, and barcode scanners track each item, scanning them 15 times to virtually eliminate errors.

  • Once items arrive at a central point, they are boxed and labeled with new barcodes.

  • Customer orders are typically delivered within 1-2 days, with the expectation of low prices, fast delivery, and error-free fulfillment.

Learning Objectives

By the end of this chapter, students should be able to:

  • Conduct an A B C analysis

  • Explain and use cycle counting

  • Explain and use the Economic Order Quantity (EOQ) model for independent inventory demand

  • Compute a reorder point and explain safety stock

  • Apply the production order quantity model

  • Explain and use the quantity discount model

  • Understand service levels and probabilistic inventory models

Importance of Inventory

  • Inventory is one of the most expensive assets for many companies, potentially representing up to 50% of total invested capital.

    • Less inventory can lower costs but increases chances of stockouts, leading to process stoppages or dissatisfied customers.

    • More inventory may increase costs but enhances the chances of meeting operational and customer demands.

Functions of Inventory

  • Enable a selection of goods based on anticipated demand while managing fluctuations.

  • Decouple various parts of the production process, ensuring smooth operations.

  • Take advantage of quantity discounts offered by suppliers.

  • Serve as a hedge against inflation, maintaining purchasing power.

Types of Inventory

  1. Raw Material Inventory

    • Inventory of purchased items that have not yet undergone processing.

  2. Work-in-Process (WIP)

    • Inventory that has undergone some transformation but is not yet finished.

    • Flow time is a key determinant for WIP.

  3. Maintenance, Repair, and Operating (MRO) Inventory

    • Inventory necessary for ensuring machinery and production processes are functioning efficiently.

  4. Finished Goods Inventory

    • Completed products that are ready for shipment to customers.

Managing Inventory

  • Effective managing of inventory includes:

    • Classification of inventory items via A B C analysis.

    • Maintenance of accurate inventory records.

A B C Analysis

  1. Definition and Purpose

    • Inventory classification method dividing inventory into three categories based on annual dollar volume:

      • Class A: High annual dollar volume items.

      • Class B: Medium annual dollar volume items.

      • Class C: Low annual dollar volume items.

    • The purpose is to focus inventory management efforts on the critical few items instead of the trivial many.

  2. **Calculation

    • Potential criteria beyond annual dollar volume include:

      • High shortage or holding costs.

      • Anticipated engineering changes.

      • Delivery problems from suppliers.

      • Quality issues with inventory items.

    • Policies related to A items may include:

      • Increased emphasis on supplier development.

      • Tighter physical inventory control.

      • More careful demand forecasting.

Record Accuracy

  • Accurate inventory records are vital for effective inventory management.

    • Types of systems include:

      • Periodic Systems: Require regular inventory checks; often use two-bin systems.

      • Perpetual Inventory Systems: Track receipts and issues continuously; may be semi-automated.

  • Maintaining precise records about incoming and outgoing inventory is essential for decision making (ordering, scheduling, shipping).

Cycle Counting

  • Definition: Periodic counting of items to update inventory records.

  • Utilized frequently with A B C analysis.

  • Advantages include:

    • Elimination of shutdowns and interruptions.

    • Removal of annual inventory adjustments.

    • Allowing trained personnel to audit inventory accuracy.

    • Facilitating identification and correction of error causes.

    • Maintaining accurate inventory records.

Cycle Counting Example
  • Inventory Breakdown: 5,000 items total; 500 A items, 1,750 B items, 2,750 C items.

  • Policy: Count all A items monthly, B items quarterly, and C items bi-annually.

    • Count Rate:

    • A: 500 items/month = 25 items/day (over 20 working days).

    • B: 1,750 items/quarter = 29 items/day (over 60 days).

    • C: 2,750 items/6 months = 23 items/day (over 120 days).

Control of Service Inventories

  • This area can significantly influence profitability as losses might arise from shrinkage or pilferage.

  • Key techniques for control:

    • Selection, training, and discipline of personnel.

    • Tight control measures for incoming shipments.

    • Effective management of all outgoing inventory.

Inventory Models

1. Independent vs. Dependent Demand
  • Independent Demand: The demand for an inventory item does not depend on the demand for other items in stock.

  • Dependent Demand: The demand for an inventory item relies on the demand for another type of item within inventory.

2. Holding, Ordering, and Setup Costs
  • Holding Costs: Expenses associated with the storage and maintenance of inventory over time.

  • Ordering Costs: Costs incurred when placing orders and receiving goods.

  • Setup Costs: Costs associated with preparing machines or processes for manufacturing an order, often correlated with setup times.

3. Holding Costs Structure




  • The following table outlines various holding costs associated with inventory management:


    Category

    Cost % Range



    Housing Costs

    6% (3 - 10%)



    Material Handling Costs

    3% (1 - 3.5%)



    Labor Cost

    3% (3 - 5%)



    Investment Costs

    11% (6 - 24%)



    Pilferage and Obsolescence Costs

    3% (2 - 5%)



    Overall Carrying Cost

    26%


    • Holding costs are notable in that they can vary significantly based on business sector, geographical location, and current interest rates.






    4. Economic Order Quantity (EOQ)



    • The EOQ model is designed to find the optimal order quantity that minimizes total costs.

    Key Assumptions of EOQ Model
    • Demand is constant, known, and independent.

    • Lead time is known and fixed.

    • Receipt of inventory happens instantly and completely.

    • Quantity discounts are not available.

    • Only variable costs include setup or ordering and holding.

    • Stockouts are entirely avoidable.

    5. EOQ Calculation Framework
    • Addressing the minimization of total costs involves the following:

      • Set the equation for setup or ordering costs.

      • Determine the equation for holding costs.

      • Equate setup cost with holding cost.

      • Solve for the optimal order quantity, Q*.

    6. EOQ Parameters
    Variables Used
    • Let:

      • QQ = Quantity of units per order.

      • QQ^* = Optimal number of units per order (EOQ).

      • DD = Annual demand in units for each inventory item.

      • SS = Setup/ordering cost per order.

      • HH = Holding/carrying cost per unit per year.

    7. EOQ Example Calculation
    • Given:

      • Demand (D) = 1,000 units.

      • Setup cost (S) = $10 per order.

      • Holding cost (H) = $0.50 per unit per year.

    • Determine:

      • Optimal quantity and total annual costs.

    Reorder Points

    • The reorder point (ROP) determines when new orders should be placed.

    • The importance of Lead time (L) is to measure the time between placing an order and receiving it.

    ROP Calculation Example
    • Given annual demand (8,000 iPhones), with a 250-working-day year, and a lead time of 3 working days (up to 4).

    Production Order Quantity Model

    1. Model Characteristics
    • This model applies when inventory accumulates over time post-order placement.

    • It is used when production and sale of units occur simultaneously.

    Production Model Formula
    • Q=extNumberofunitsperorderQ = ext{Number of units per order}

    • p=extDailyproductionratep = ext{Daily production rate}

    • H=extHoldingcostperunitperyearH = ext{Holding cost per unit per year}

    • d=extDailydemand(usage)rated = ext{Daily demand (usage) rate}

    • t=extLengthoftheproductionrunindayst = ext{Length of the production run in days}

    2. Production Order Example
    • Given:

      • D = 1,000 units,

      • p = 8 units/day,

      • d = 4 units/day,

      • S = $10,

      • H = $0.50 per unit/year.

    Quantity Discount Model

    1. Understanding the Model
    • Pricing discounts typically become available when larger quantities are purchased, balancing the lowered product costs against increased holding costs.

    2. Discounts Schedule Example

    Price Range

    Quantity Ordered

    Price per Unit

    Initial Price

    0 to 119

    $100

    Discount Price 1

    120 to 1,499

    $98

    Discount Price 2

    1,500 and over

    $96

    Probabilistic Models and Safety Stock

    • These models are utilized when demand is not constant or certain.

    • Safety stock is employed to maintain service levels and mitigate stockouts, computed as follows:

    • Annual stockout costs are determined using the formula:
      extAnnualstockoutcosts=extSumof(unitsshortforeachlevel)imesextProbabilityofthatlevelimesextStockoutcost/unitimesextOrdersperyearext{Annual stockout costs} = ext{Sum of (units short for each level)} imes ext{Probability of that level} imes ext{Stockout cost/unit} imes ext{Orders per year}

    • Safety stock of 20 frames results in an ROP of 70 frames when the baseline is 50 units.

    Use of Safety Stock Under Variability
    • When demand fluctuates, use safety stock calculated from average demand and service levels to set reorder points.

    • Example: If average demand is 350 kits with a service level of 95% and a Z of 1.645, the ROP computed would reflect the added safety stock.

    Single-Period Model

    • This model describes scenarios where only a single order is made for a product, typically with minimal or no value after the sales period ends.

    Example:
    • Average demand for a product, costs, and service levels are calculated to determine optimal stocking levels.

    Fixed-Period (P) Systems

    1. Model Characteristics
    • Requires continuous inventory monitoring, engages periodic reviews (P systems), where orders are placed at predetermined times.

    2. Practical Implications
    • These systems may increase the risk of stockouts between review periods, necessitating higher safety stock levels.

    Conclusion

    • Effective inventory management encompasses a diverse range of models and practices tailored to optimize efficiency, minimize costs, and meet customer service commitments while navigating the challenges posed by demand variability and supply issues.