Strategic Management of Spare Parts in Closed-Loop Supply Chains A System Dynamics Approach. Thomas Stefan Spengler
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1 Strategic Management of Spare Parts in Closed-Loop Supply Chains A System Dynamics Approach Thomas Stefan Spengler Braunschweig University of Technology, Germany Department of Production Management
2 Presentation Outline 1. Introduction 2. Management of spare parts in the final-service phase 3. Closed-loop supply chains for parts recovery 4. System Dynamics Model 5. Strategies and results 6. Concluding remarks Department of Production Management, Braunschweig University of Technology 2
3 Guaranteed spare parts supply (Germany) 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% more than 30 years up to 30 years up to 25 years up to 20 years up to 15 years up to 10 years up to 5 years 0% Ihde et al white goods (normal) white goods (max.) consumer electronics (max.) ICT (normal) consumer electronics (normal) ICT (max.) medical equipment (normal) medical equipment (max) Automotives OEM (normal) Automotives OEM (max.) component suppliers (max) component suppliers (normal) Department of Production Management, Braunschweig University of Technology 3
4 Product life cycles in the electronic and automotive industry Software -PLC Development Production Electronics - PLC Maintenance Automobiles - PLC 3 years 7 years 15 years 10 years Time Department of Production Management, Braunschweig University of Technology 4
5 Management of spare parts in the final-service phase Producers have to assure spare parts supply for the average lifetime of the product Losing economies of scale production volume diminishes rapidly after the production phase is stopped Limited flexibility of production equipment Discontinued supply of electronic components that are provided from outside suppliers Department of Production Management, Braunschweig University of Technology 5
6 Strategies to ensure the ability to supply spare parts during the final service phase Producing Final Stocks Producing small lots of parts Redesign of spare part Develop and use compatible parts Reuse of parts Repairing parts that are out-of-order Department of Production Management, Braunschweig University of Technology 6
7 Study on final orders (automobile supplier) normalized Inventory, 71 final orders, final service phase 15 years [%] % Monate nach EBV-Maßnahme Example: part discontinued 04/97, out of stock 12/2000, time to redesign 6 Month 6 years Department of Production Management, Braunschweig University of Technology 7
8 Management of spare parts in the final-service phase Characteristics of Final Order Policy Build up final stocks that lock up a lot of capital Agfa-Gevaert: Mio. (30 40% of total spare parts inventory) Underestimation of demand Producers have to compensate customers for delivery delay Producers often have to redesign the spare part Firms often fail to monitor final stocks adequately Department of Production Management, Braunschweig University of Technology 8
9 Integrating parts recovery in spare parts management More operational flexibility Chance to reduce final stocks and Chance to reduce stock-outs Closed-loop supply chains are difficult to control Uncertainties in Returns volume Timing of returns Yield of recovery... Department of Production Management, Braunschweig University of Technology 9
10 Case Study: Spare parts management in closed-loop supply chains AGFA: ADC Compact medical diagnosis device which scans and digitizes data from x-ray films End of Production: 2001 End of Service: 2008 Department of Production Management, Braunschweig University of Technology 10
11 Product Life Cycle of the ADC Compact Equipment / Month Time (Month) Production phase ( ) Total sales: 1920 pieces of equipment Department of Production Management, Braunschweig University of Technology 11
12 Working Example: Scan-Unit of the ADC Compact Scan-Unit Department of Production Management, Braunschweig University of Technology 12
13 Strategic Management of spare parts at Agfa Predefinition of electronics specifications and preselection of electronic components Field tests Feasibility study Prototype Make to stock Development Product launch Degeneration Sales from Stock Availability of spare parts during the service period SOP EOP EOD EDO 3-4 years 4-5 years 7-10 years EOS t Definition spare part Availability of spare parts First disposition of spare parts Longterm disposition (forecast) final stock SOP/EOP EOD EDO EOS Start/ End-of-Production End of Delivery End of Delivery Obligation End of Service Department of Production Management, Braunschweig University of Technology 13
14 Closed Loop Supply Chain for Parts Recovery Equipment in Use Distribution Production Supply Equipment stored User Alternative Disposal Collection Selection Reprocessing Disposal Spare Parts flows in the original chain Equipment flows in the recovery chain Parts flows in the recovery chain Department of Production Management, Braunschweig University of Technology 14
15 System Dynamics Model System Dynamics very effective tool in representing the dynamics of management systems enables the user to develop a better understanding of the effects of changes, and supports him in designing alternative policies that result in an improved system performance SD was developed by Jay Forrester at the MIT in the 1960 s applied in many areas such as product development, project management, and supply chain management, among which is a popular explanation of the bullwhip effect Department of Production Management, Braunschweig University of Technology 15
16 Final Order Rate Production Capacity Backlog Production Start Rate Work in Process Inventory Production Rate Stock of Serviceable Spare Parts Shipment Rate Aging Sector Order Fullfillment Spare Parts Order Rate Spare Parts Supply Sector Production Scheduling Demand Forecasting Desired Spare Parts Recovery Rate Alternative Disposal Rate Product Acquisition Policy Recovery Scheduling Aging Sector. Stock of Obsolete Total Equipment Equipment Rate Obsolescence Rate Take-Back Reverse Logistics and Recovery Sector Stock of returned Equipment Disassembly Rate Materials Recycling Rate Equipment Stock of Recoverable Spare Parts Materials Recycling Rate Parts Closed-loop supply chain
17 Characteristics of strategies Base Case Base case with forecast Recovery waste stream Recovery with aquisition Systemwide inventory policy waste stream Systemwide inventory with aquisition Early warning system waste stream Early warning system with aquisition (EWA) Stocking recoverable parts SRP + EWA recovery of parts considered Product acquisition mid-term forecast Long term schedule Stocking recoverable parts Department of Production Management, Braunschweig University of Technology 17
18 Base case: Optimal final stock; no recovery, no redesign PR 200 OR ERT ERP Time (Month) Production Rate (PR) Part/Month Order Rate (OR) Part/Month Equipment Returns Recoverable Parts (ERP) Equipment/Month Equipment Returns total (ERT) Eqquipment/Month Department of Production Management, Braunschweig University of Technology 18
19 Base Case: Optimal final stock 20%, no recovery, redesign PR OR ERT ERP Time (Month) 0 Production Rate (PR) Part/Month Order Rate (OR) Part/Month Equipment Returns Recoverable Parts (ERP) Equipment/Month Equipment Returns total (ERT) Equipment/Month Department of Production Management, Braunschweig University of Technology 19
20 Base Case: Optimal final order 20%, no recovery, redesign Serviceables Part/ Time (Month) Backlog Part Department of Production Management, Braunschweig University of Technology 20
21 Comparison of results (net present value) low recoverability medium recoverability high recoverability SRP + EWA Stocking recoverable parts (SRP) Early warning system with aquisition (EWA) Early warning system waste stream Systemwide inventory with aquisition Systemwide inventory policy waste stream Recovery with aquisition Recovery waste stream Base case with forecast Base Case in thousand Department of Production Management, Braunschweig University of Technology 21
22 Characteristics of strategies Base Case Base case with forecast Recovery waste stream Recovery with aquisition Systemwide inventory policy waste stream Systemwide inventory with aquisition Early warning system waste stream Early warning system with aquisition (EWA) Stocking recoverable parts SRP + EWA recovery of parts considered Product acquisition mid-term forecast Long term schedule Stocking recoverable parts Department of Production Management, Braunschweig University of Technology 22
23 Recovery acquisition: 60% final stock, 65% return quota, high recoverability Time (Month) Equipment Returns total (ERT) Equipment/Month Order Rate (OR) Part/Month Recovery Rate (RR) Part/Month Equipment Returns Recoverable Parts (ERP) Equipment/Month Material Recycling Rate (MR) Equipment/Month Department of Production Management, Braunschweig University of Technology 23
24 Comparison of results (net present value) low recoverability medium recoverability high recoverability SRP + EWA Stocking recoverable parts (SRP) Early warning system with aquisition (EWA) Early warning system waste stream Systemwide inventory with aquisition Systemwide inventory policy waste stream Recovery with aquisition Recovery waste stream Base case with forecast Base Case in thousand Department of Production Management, Braunschweig University of Technology 24
25 Characteristics of strategies Base Case Base case with forecast Recovery waste stream Recovery with aquisition Systemwide inventory policy waste stream Systemwide inventory with aquisition Early warning system waste stream Early warning system with aquisition (EWA) Stocking recoverable parts SRP + EWA recovery of parts considered Product acquisition mid-term forecast Long term schedule Stocking recoverable parts Department of Production Management, Braunschweig University of Technology 25
26 Stocking recoverable parts + early warning system: 75% final stock, 50% return quota, low recoverability Equipment Returns total (ERT) Equipment/Month Order Rate (OR) Part/Month Recovery Rate (RR) Part/Month Time (Month) Equipment Returns Recoverable Parts (ERP) Equipment/Month Material Recycling Rate (MR) Equipment/Month Department of Production Management, Braunschweig University of Technology 26
27 Comparison of results (net present value) low recoverability medium recoverability high recoverability SRP + EWA Stocking recoverable parts (SRP) Early warning system with aquisition (EWA) Early warning system waste stream Systemwide inventory with aquisition Systemwide inventory policy waste stream Recovery with aquisition Recovery waste stream Base case with forecast Base Case in thousand Department of Production Management, Braunschweig University of Technology 27
28 Concluding Remarks Recovery of parts can be beneficial to provide customers with spare parts system dynamics to test various policies to control the closed-loop supply chain different forms of product take back (active product acquisition and waste stream) different policies when to stop sending recoverable parts to materials recycling when to acquire units of equipment with recoverable parts when to begin to redesign a spare part. necessary to strengthen the monitoring of final stocks as well as the stocks of recoverable parts within closed-loop supply chains. Improving information exchange between producers of EEE and recycling companies Department of Production Management, Braunschweig University of Technology 28
29 Attachments and Data Department of Production Management, Braunschweig University of Technology 29
30 Parameter Service time: 7 years Redesign time: 6 months Redesign costs: 1,5 Mio. Production costs after redesign: 200% of production costs during normal phase Out of pocket costs for new and recovered parts: 50 per month and part Scrapping or material recycling costs: 22,5 per part Reverse logistics costs (transportation and deconstruction): 42,4 per part Product acquisition costs: depend on the proportion of discarded equipment with recoverable parts => max. 200% of reverse logistics costs Out of pocket costs for disassembled scan-unit: 1 per month and part Disassembly costs: 45 per scan-unit Rate of interest: 8% per year Department of Production Management, Braunschweig University of Technology 30
31 Scenario Parameter Return Quotas: 50% - 90% Final Stock: 60% - 100% Recoverability: high, medium, low 5 % steps 9 x 9 x 3 = 243 simulation runs per strategy Department of Production Management, Braunschweig University of Technology 31
32 Recoverability scenarios 0,7 0,6 Recoverability in % 0,5 0,4 0,3 0,2 high recoverability medium recoverability low recoverability 0, Age of Equipment Department of Production Management, Braunschweig University of Technology 32
33 Probability mass function of equipment return time 0,16 0,14 0,12 0,1 Percent 0,08 0,06 0,04 0, Age of Equipment Department of Production Management, Braunschweig University of Technology 33
34 Probability mass function of repair 0,5 0,45 0,4 0,35 0,3 Percent 0,25 0,2 0,15 0,1 0, Age of Equipment Department of Production Management, Braunschweig University of Technology 34
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