 # Inventory System Inventory system: the set of policies and controls that monitor levels of inventory and determines: –what levels should be maintained.

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Inventory System Inventory system: the set of policies and controls that monitor levels of inventory and determines: –what levels should be maintained –when stock should be replenished –how large orders should be

Fixed-Order Quantity Models: Model Assumptions (Part 1) Demand for the product is constant and continuous throughout the period and known. Lead time (time from ordering to receipt) is constant. Price per unit of product is constant.

Fixed-Order Quantity Models: Model Assumptions (Part 2) Inventory holding cost is based on average inventory. Ordering or setup costs are constant. All demands for the product will be satisfied. (No back orders are allowed.)

Basic Fixed-Order Quantity Model and Reorder Point Behavior Exhibit 15.3 R = Reorder point Q = Economic order quantity L = Lead time L L QQQ R Time Number of units on hand

Cost Minimization Goal Ordering Costs Holding Costs Q OPT Order Quantity (Q) COSTCOST Annual Cost of Items (DC) Total Cost By adding the item, holding, and ordering costs together, we determine the total cost curve, which in turn is used to find the Q opt inventory order point that minimizes total costs.

Basic Fixed-Order Quantity (EOQ) Model Formula C * H * Q/2+S * DD/Q+ Average Inventory Annual Holding Cost Per Unit * # of Orders Per Year * Ordering Cost Per Order Annual Demand Cost Per Unit * Total Annual Cost = Annual Purchase Cost Annual Ordering Cost Annual Holding Cost ++

EOQ Example (1) Solution In summary, you place an optimal order of 89 units when the inventory position (IP = OH + SR – BO) is 20 units. 112.36111.25

Fixed-Order Quantity Model with Safety Stock Inventory ROP OH Base inventory level Order arrives Safety Stock (I s ) Stockout risk

Fixed-Order Quantity Model with Safety Stock Formula R = Average demand during lead time + Safety stock

Determining the Value of  L The standard deviation of a sequence of random events equals the square root of the sum of the variances.

Price-Break Example Problem Data (Part 1) A company has a chance to reduce their inventory costs by placing larger quantity orders using the price-break order quantity schedule below. What should their optimal order quantity be if this company purchases this single inventory item with an e-mail ordering cost of \$4, a carrying cost rate of 20% of the inventory cost of the item, and an annual demand of 10,000 units? Order Quantity(units)Price/unit(\$) 0 to 999 \$30.00 1,000 to 1,499 29.75 1,500 or more 29.50

Total cost curves if any quantity could be ordered at each price C = 30.00 EOQ = 115 C = 29.75 EOQ = 116 C = 29.50 EOQ = 116

Price-Break Example Solution (Part 2) Annual Demand (D)= 10,000 units Cost to place an order (S)= \$4 Carrying cost % of total cost (i)= 20% Cost per unit (C) = \$30.00, \$29.75, \$29.50 Interval from 0 to 999, the Q opt value is feasible. Interval from 1000-1499, the Q opt value is not feasible. Interval from 1500 & more, the Q opt value is not feasible. Beginning with the lowest unit cost, determine if the computed Q opt values are feasible or not.

Total cost curves if any quantity could be ordered at each price C = 30.00 EOQ = 115 C = 29.75 EOQ = 116 C = 29.50 EOQ = 116

Actual total cost curve C = 30.00 C = 29.75 C = 29.50 Q = 115 Q = 1000 Q = 1500

Price-Break Example Solution (Part 4) Next, we plug the feasible Q opt values into the total cost annual cost function to determine the total cost for each order quantity.

Price-Break Example Solution (Part 5) TC(115)= (10000*\$30.00)+(10000/115)*4+(115/2)*(0.2*\$30.00) = \$300,693 TC(1000)= (10,000*\$29.75) + (10,000/1000)*4 + (1000/2)*(0.2*\$29.75) = \$300,515 TC(1500) = (10,000*\$29.50) + (10,000/1500)*4 + (1500/2)*(0.2*\$29.50) = \$299,452 Finally, we select the least costly Q opt, which is this problem occurs for an order quantity of 1500. In summary, our optimal order quantity is 1500 units.

ABC Classification System Items kept in inventory are not of equal importance in terms of: – dollars invested – profit potential – sales or usage volume – stock-out penalties 0 30 60 30 60 A B C % of \$ Value % of Use So, identify inventory items based on percentage of total dollar value, where “A” items are roughly top 80 %, “B” items as next 15 %, and the lower 5% are the “C” items.

Just-In-Time (JIT) Defined JIT: an integrated set of activities designed to achieve high-volume production using minimal inventories (RM, WIP, FG). JIT involves: – the elimination of waste in production effort. –the timing of production resources (e.g., parts arrive at the next workstation “just in time”).

Minimizing Waste: Kanban Production Control Systems Exhibit 10.6 Storage Part A Machine Center Assembly Line Material Flow Card (signal) Flow Withdrawal kanban Production kanban

JIT Requirements: Stabilize Schedule: Level schedule, underutilize capacity, establish freeze windows Kanban-Pull: Demand pull, backflush, reduce lot sizes Work with Vendors: Reduce lead times, frequent deliveries, project usage requirements, quality expectations

Characteristics of JIT Vendor Partnerships Few, nearby suppliers Long-term contract agreements Steady supply rate Frequent deliveries in small lots Buyer helps suppliers meet quality Suppliers use process control charts Buyer schedules inbound freight

Respect for People Level payrolls Cooperative employee unions Subcontractor networks Bottom-round management style Quality circles (Small group involvement activities)

Goldratt’s Rules of Production Scheduling (Continued) Bottlenecks govern both throughput and inventory in the system. Transfer batch may not and many times should not be equal to the process batch. A process batch should be variable both along its route and in time. Priorities can be set only by examining the system’s constraints. Lead time is a derivative of the schedule.

Goldratt’s Theory of Constraints (TOC) Identify the system constraints. Decide how to exploit the system constraints. Subordinate everything else to that decision. Elevate the system constraints. If, in the previous steps, the constraints have been broken, go back to Step 1, but do not let inertia become the system constraint.

Goldratt’s Goal of the Firm The goal of a firm is to make money.

Capacity Related Terminology Capacity is the available time for production. Bottleneck is what happens if capacity is less than demand placed on resource. Nonbottleneck is what happens when capacity is greater than demand placed on resource. Capacity-constrained resource (CCR) is a resource where the capacity is close to demand placed on the resource.

Capacity Example Situation 1 XY Market Case A There is some idle production in this set up. How much? 25% in Y

Capacity Example Situation 2 YX Market Case B Is there is going to be a build up of unnecessary production in Y? Yes, 25% in Y.

Capacity Example Situation 3 XY Assembly Market Case C Is there going to be a build up in unnecessary production in Y? Yes, 25% in Y.

Capacity Example Situation 4 XY Market Case D If we run both X and Y for the same time, will we produce any unneeded production? Yes, 25% in Y.

Time Components of Production Cycle Setup time is the time that a part spends waiting for a resource to be set up to work on this same part. Process time is the time that the part is being processed. Queue time is the time that a part waits for a resource while the resource is busy with something else.

Time Components of Production Cycle (Continued) Wait time is the time that a part waits not for a resource but for another part so that they can be assembled together. Idle time is the unused time. It represents the cycle time less the sum of the setup time, processing time, queue time, and wait time.

Saving Time Bottleneck Nonbottleneck What are the consequences of saving time at each process? Rule: Bottlenecks govern both throughput and inventory in the system. Rule: An hour lost at a bottleneck is an hour lost for the entire system. Rule: An hour saved at a nonbottleneck is a mirage.

Drum, Buffer, Rope ABCDEF Bottleneck (Drum) Inventory buffer (time buffer) Communication (rope) Market Exhibit 17.9

Quality Implications of synchronous manufacturing More tolerant than JIT systems – Excess capacity throughout system. Except for the bottleneck – Quality control needed before bottleneck.

Batch Sizes What is the batch size? – One? – Infinity?

Bottlenecks and CCRs: Flow-Control Situations A bottleneck – (1) with no setup required when changing from one product to another. – (2) with setup times required to change from one product to another. A capacity constrained resource (CCR) – (3) with no setup required to change from one product to another. – (4) with setup time required when changing from one product to another.

Inventory Cost Measurement: Dollar Days Dollar Days is a measurement of the value of inventory and the time it stays within an area. Dollar Days = (value of inventory)(number of days within a department) Example

Benefits from Dollar Day Measurement Marketing – Discourages holding large amounts of finished goods inventory. Purchasing – Discourages placing large purchase orders that on the surface appear to take advantage of quantity discounts. Manufacturing – Discourage large work in process and producing earlier than needed.

Comparing Synchronous Manufacturing to MRP MRP uses backward scheduling. Synchronous manufacturing uses forward scheduling.

Comparing Synchronous Manufacturing to JIT JIT is limited to repetitive manufacturing JIT requires a stable production level JIT does not allow very much flexibility in the products produced

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