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Logistics/Supply Chain Customer Service

Logistics/Supply Chain Customer Service. “ Logistics is no longer the ‘last frontier of cost reduction ,’ it’s the new frontier of demand generation .”. Chapter 4. CR (2004) Prentice Hall, Inc. Inventory Strategy. Inventory Strategy. •. •. Forecasting. Forecasting. Transport Strategy.

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Logistics/Supply Chain Customer Service

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  1. Logistics/Supply Chain Customer Service “Logistics is no longer the ‘last frontier of cost reduction,’ it’s the new frontier of demand generation.” Chapter 4 CR (2004) Prentice Hall, Inc.

  2. Inventory Strategy Inventory Strategy • • Forecasting Forecasting Transport Strategy Transport Strategy • • Inventory decisions Inventory decisions • • Transport fundamentals Transport fundamentals • • Purchasing and supply Purchasing and supply • • Transport decisions Transport decisions Customer Customer scheduling decisions scheduling decisions service goals service goals • • Storage fundamentals Storage fundamentals • • The product The product ORGANIZING ORGANIZING • • Storage decisions Storage decisions CONTROLLING CONTROLLING PLANNING PLANNING Logistics service Logistics service • • • • Ord Ord . proc. & info. sys. . proc. & info. sys. Location Strategy Location Strategy • • Location decisions Location decisions • • The network planning process The network planning process Customer Service in Planning Triangle

  3. Price - Customer service here Product - Promotion - Place: Physical Distribution - Product availability and order cycle time are dominant physical - distribution variables Customer Service Defined · Customer service is generally presumed to be a means by which companies attempt to differentiate their product, keep customers loyal, increase sales, and improve profits. · It is an integral part of the marketing mix of: · Relative importance of service elements Physical distribution variables dominate price, product, and - promotional considerations as customer service considerations

  4. Customer service • Pretransaction • elements • Written statement of policy • Statement in hands of customer • Organizational structure • System flexibility • Technical services • Transaction • elements • Stockout level • Ability to back order • Elements of order cycle • Time • Transship • System accuracy • Order conveniences • Product substitution • Posttransaction • elements • Installation, warranty alterations, repairs, parts • Product tracking • Customer claims, complaints • Product packaging • Temporary replacement of product during repairs Customer Service Elements 4-4

  5. 31% Product or quality mistakes 12% Damaged goods 7% Other 6% Frequently cut items 44% Late delivery Common Customer Service Complaints

  6. Most Important Logistics Customer Service Elements • On-time delivery • Order fill rate • Product condition • Accurate documentation

  7. Appraise This Measure of Logistics Customer Service Percent of customer orders shipped by customer request date Parker-Hannifin Corp.

  8. Components of a Customer Order Cycle WAREHOUSE Order processing and assembly Customer order transmittal Transmittal of backorder items CUSTOMER Retail outlet Order delivery FACTORY Order processing, assembly from stock, or production if no stock Express order delivery 4-8

  9. Order Cycle Time

  10. Importance of Logistics Customer Service

  11. Penalties for Customer Service Failures

  12. Service Observations • The dominant customer service elements are logistical in nature • Late delivery is the most common service complaint and speed of delivery is the most important service element • The penalty for service failure is primarily reduced patronage, i.e., lost sales

  13. Modeling a Sales-Service Relationship ROLA

  14. Range of transition Range of transition Sales-Service Relationship Sales Threshold Diminishing returns Decline 0 0 Increasing logistics customer service level of a supplier to the best of its competition 4-14

  15. Modeling a Sales-Service Relationship

  16. Sales-Service Relationship by the Two-Points Method

  17. Determine Optimal Service Level - Generalized Cost-Revenue Tradeoffs Revenue Profit maximization Costs or sales Logistics costs 0 0 Improved logistics customer service 4-17

  18. Determining Optimum Service Levels • Theory • Optimum profit is the point where profit contribution equals marginal cost.

  19. Determining Optimum Service Levels • Practice • For a constant rate, •  P = trading margin  sales response rate  annual sales •  C = annual carrying cost standard product cost  demand standard deviation over replenishment lead-time   z • Set  P =  C and find  z corresponding to a specific service level

  20. Determining Optimum Service Levels (Cont’d)

  21. Determining Optimum Service Levels (Cont’d) Find  P  P = 0.75  0.0015  80,000 = $90.00 per year per 1% change in service Find  C  C = 0.25  10.00  500   z = 1250  z Set  P =  C and solve for  z, i.e., 90.00/1250 =  z  z = 0.072 For the change in z found in a normal distribution table, the optimal in-stock probability during the lead time (SL*) is about 92%. CR (2004) Prentice Hall, Inc.

  22. SL Levels in % for Various z Values zU– zL = SL (%) U L D D z 87-86 1.125-1.08 = 0.045 88-87 1.17 -1.125 = 0.045 89-88 1.23 -1.17 = 0.05 90-89 1.28 -1.23 = 0.05 91-90 1.34 -1.28 = 0.06 Ü 92-91 1.41 -1.34 = 0.07 Ü 93-92 1.48 -1.41 = 0.07 Ü 94-93 1.55 -1.48 = 0.07 95-94 1.65 -1.55 = 0.10 96-95 1.75 -1.65 = 0.10 97-96 1.88 -1.75 = 0.13 98-97 2.05 -1.88 = 0.17 99-98 2.33 -2.05 = 0.28 *Developed from entries in a normal distribution table

  23. $/year Change in safety stock cost, C Graphically Setting the Service Level 350 300 250 200 150 Change in gross profit, P 100 50 0 87-86 88-87 89-88 90-89 91-90 92-91 93-92 94-93 95-94 96-95 97-96 98-97 99-98 Probability of being in stock during replenishment lead time, %

  24. Optimizing on Service Performance Variability • Setting service variability according to Taguchi • A loss function of the form • L = loss in $ • k = a constant to be determined • y = value of the service variable • m = the target value of the service variable Service penalty only if outside this rangeTraditional Cost penalty, L Missing target causes increasing penalty  Taguchi y Target Service variable, m

  25. Optimizing on Service Performance Variability (Cont’d) • Setting the allowable deviation from the target service level m is to optimize the sum of penalty cost for not meeting the service target and the cost of producing the service. • TC = service penalty cost (L) + service process cost (PC) • If the service process cost is of the general form PC = A  B(y-m), then find the optimum allowed deviation from the service target. Marginal delivery cost = marginal penalty cost y-m is the optimal deviation allowed from target m

  26. Service Variability Example Example Pizzas are to be delivered in 30 minutes (target.) Pizzas delivered more than 10 minutes late incur a penalty of $3 off the pizza bill. Delivery costs are estimated at $2, but decline at the rate of $0.15 for each minute deviation from target. How much variation should be allowed in the delivery service? Convert fixed penalty to Taguchi-style loss curve 3 Cost penalty, $ 40 30 Delivery service, min No more than 2.5 minutes should be allowed from the 30-minute delivery target to minimize cost.

  27. Setting Service Levels • Service treated as a constraint on design • Planning for service contingencies Measuring Service Performance • Percent of sales on backorder • No. of stockouts • Percent of on-time deliveries • No. of inaccurate orders • Order cycle time • Fill rate--% of demand met, % of orders filled complete, etc. Most comprehensive

  28. Service Contingencies System Breakdown Actions • Insure the risk • Plan for alternate supply sources • Arrange alternate transportation • Shift demand • Build quick response to demand shifts • Set inventories for disruptions • Product Recall Actions • Establish a task force committee • Trace the product • Design a reverse logistics channel

  29. Recap • Logistics customer service elements • Order cycle time • Importance of logistics customer service • Sales-service relationship • Determine optimal • service level (profit maximization) • service performance variability • Service contingency plans

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