SMEAL COLLEGE OF BUSINESS. Department of Supply Chain & Information Systems Dr. Evelyn A. Thomchick. All rights reserved. 2

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SCM is the art and science of integrating the flows of products, information and financials through the entire supply pipeline from the supplier s supplier to the customer s customer. Suppliers Contracted Manufacturers Manufacturers Wholesalers/ Distributors Retailers/ Customers Product/Services Flow Information Flow Cash Flow Demand Flow Source: John J. Coyle, Center for Supply Chain Research Presentation 3 Raw Material Supplier Manufacturing Plant Manufacturing Warehouse Wholesaler Warehouse Retailer Warehouse Retail Store Source: John J. Coyle, Center for Supply Chain Research Presentation 4

Source: Council of Supply Chain Management Professionals 5 Demand and supply uncertainties affect how the supply chain should be devised. Source: Lee (2002), Aligning Supply Chain Strategies with Product Uncertainties, California Management Review 6

7 Low (Functional Products) DEMAND UNCERTAINTY High (Innovative Products) Low (Stable) Examples: Grocery, basic apparel, food, oil and gas Examples: Fashion apparel, computers High (Evolving) Examples: Hydro electric power, some food produce Examples: Telecom, highend computers Source: Lee (2002), Aligning Supply Chain Strategies with Product Uncertainties, California Management Review Source: Lee (2002) 8

9 Product, Information, Cash and Demand Flows At macro level, cellulosic supply chain is straight forward. Complexity, however, is in the supply / inbound side of the chain. 10

Low (Stable) DEMAND UNCERTAINTY Low (Functional Products) High (Innovative Products) High (Evolving) Cellulosic Supply Chains 11 Risk hedging strategies Inventory pools Lead time reduction Process flexibility Multiple supply bases Alternative supply resources 12

13 Source: Coyle et al. 2008, Supply Chain Management: A Logistics Perspective 14

Order cycle time (OCT) can be defined as the time that elapses from when a customer places an order until the order is received. OCT length and variability influence product availability and customer inventories. 15 Order cycle components Order placement Supplier A Supplier B Order processing Order preparation Order shipment Total order cycle Average: 13 days Range: 4 to 22 days Average: 11 days Range: 6 to 16 days Source: Coyle et al. 2008, Supply Chain Management: A Logistics Perspective 16

The longer OCT usually requires higher customer inventories. Variability of OCT affects customer safety stock inventory levels and stockout costs. Shorter and more consistent OCT could be as important as a reduction in prices of biomass feedstock itself. 17 Source: Coyle et al. 2008, Supply Chain Management: A Logistics Perspective Logistics Cost Transportation cost Inventory cost Warehousing cost Weight Density of Product 18

Inventory cost Logistics Cost Transportation cost Packaging cost Dollar Value of Product Source: Coyle et al. 2008, Supply Chain Management: A Logistics Perspective 19 Source: Coyle et al. 2008, Supply Chain Management: A Logistics Perspective Rate Distance Transportation rates increase with, but not in direct proportion to, distance. 20

Shifting the mode of transportation form rail to motor results in: Fast and more reliable transit times Better accessibility Lower inventory costs Higher motor carrier prices 21 In this case, the lower inventory costs and faster and more reliable transit times more than offset the higher transportation price of the motor carrier. Logistics Cost Centers Rail ($ per unit) Motor ($ per unit) Transportation 3.00 4.30 Inventory 5.00 3.75 Packaging 3.50 3.20 Warehousing 1.50 0.75 Cost of lost sales 2.00 1.00 Total logistics cost 15.00 13.00 Source: Coyle et al. 2008, Supply Chain Management: A Logistics Perspective 22

Total cost Inventory cost Cost Warehousing cost Transportation cost Cost of lost sales Number of Warehouses Source: Coyle et al. 2008, Supply Chain Management: A Logistics Perspective 23 24

Advanced uniform feedstock supply system uses Deployable Process Development Unit (PDU) for on farm physical processing. PDU is a modular and reconfigurable biomass feedstock preprocessing system, consisting of decomposition, grinding, drying, and densification modules. Modules are portable, allowing for deployment in any location with adequate space and available utilities. 25 Deployable Process Development Unit (PDU) approximates one replicable biomass depot. Woody residues Municipal solid wastes Round wood & Woody energy crops Depot Shipping terminal elevator Rail, truck, or barge Multiple biorefineries Depot Wet herbaceous residues and energy crops Dry herbaceous residues and energy crops Conversion (Biochemical or Thermochemical) 26

Regional biomass preprocessing centers (RBPC) are conceptualized as: Relatively large, intermediate, geographically distributed facilities Involve both physical transformation and chemical pretreatment Capable of pre treating and converting a variety of biomass into appropriate feedstocks for a variety of final products such as fuels, chemicals, electricity, and animal feeds 27 28

Wood processors such as pulp and paper manufacturers are in a position to provide supplies of wood chips and wood waste that a cellulosic ethanol plant may need: Local access to abundant untapped sources of wood waste that could be used to produce cellulosic biofuels Infrastructure needed for on site preprocessing, storage, and handling of wood waste 29 Bio refinery Logs Chips Ext. Supply Ext. Supply Int. Supply Ext. Supply Int. Supply Ext. Supply Logs Logs Chips Chips Chemicals Pulp Chemicals Paper rolls Chipping Handling Pulping Papermaking 30

Supply risk hedging potentials Inventory pooling Multiple supply bases Resource sharing potentials Costs of storage Costs of preprocessing Supply flexibilities Feedstock transshipment Lead time Total logistics costs Economies of scale and scope Biomass contract transaction cost 31 Logistics is a critical part of supply chain management. Logistics systems are frequently analyzed from a system approach, emphasizing total cost and tradeoffs. The cost of logistics systems can be affected by a number of major factors, including competition in the market, the spatial relationship, and product characteristics. 32

Evelyn A. Thomchick E mail: ethomchick@psu.edu Phone: 814.865.3567 Visit CSCR Website at www.smeal.psu.edu/cscr