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Supply Chains and the Environment Fuminori Toyasaki MKIDS Mini-Workshop September 10, 2003 The Virtual Center for Supernetworks
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Change of environment problem characteristics Environment problems Local Specific industries Small uncertainty Present problem Global Unspecific industries Large uncertainty Future problem
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From Supply Chains to Green Logistics Supply Chain + Environmental = Green Logistics criteria * Legislation Pressure * Consumer Pressure
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My Research Areas * Supply chain modeling with emission minimization criterion * Supply chain modeling with E-cycling * Global supply chain with transboundary pollutions (future)
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Supply Chain Supernetworks and Environmental Criteria Anna Nagurney and Fuminori Toyasaki Appears in Transportation Research: Transportation and the Environment
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1 i m 1 n j 1ki Manufacturers Retailers Demand Markets
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Assumptions of this model Each manufactures and retailers 1. Maximizes its profit 2. Minimizes its emissions. Cournot-Nash oligopoly market.
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A manufacturer’s muliticriteria decision- making problem Maximize Subject to
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The optimality condition of the manufacturers
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A retailer’s multicriteria decision- making problem Maximize Subject to
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The multicriteria equilibrium conditions for demand market k modes For all retailers and For all manufactures
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Variational Inequality Formulation
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The Dynamics 1.Describe the manufactures’, retailers’ and consumers’ product and price adjustment. 2.Formulate the dynamic adjust process as a projected dynamical system.
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Demand market price dynamics
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Dynamics between the retailers and the demand markets
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The projected dynamical system The dynamic model of the supply chain supernetwrok and environmental criteria can be formulated as follows: onto is the projection operator of is the initial point
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. Stationary equilibrium points Theorem The set of stationary points coincides with the set of equilibrium points. Proof. See Dupuis and Nagurney (1993).
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1 1 1 2 2 2 Manufactures Retailers Demand Markets Numerical Examples
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Change of environment criteria 3.4611 2.3907 3.3214 2.4309 3.1136 2.4250 3.1270 2.4347 13.03313.312713.4861 13.396 5.8513 5.7509 5.5362 5.5603 263.908264.047264.309 263.623 274.701274.820274.843 274.881 Total Emission 114.089112.918111.381 111.213
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Increase in weights on environment criteria Total Emission111.2138110.5442105.860499.7104
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Summary First rigorous mathematical supernetwork model which deals with multicriteria decision makers, include environmental one. Developed both a static and a dynamic model. Evaluated the equilibrium solutions as we changed the weight of the environmental criteria.
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Electronic Waste Management and Recycling: A Multitiered Network Equilibrium Framework for E-Cycling Anna Nagunrey and Fuminori Toyasaki
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Movement of E-Cycling 63 million PC will be obsolete in 2003 in the U.S. About 10 million waste electric products are dumped per year in Japan. * Electronic wastes contain not only hazardous materials, but also precious ones. The Home Appliances Recycling Law in Japan (2001) Waste from Electrical and Electronic Equipment Directive (WEEE) in EU (2008)
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1h 1i j 1 1 k r m n m+1 n+1 O+1 o Recyclers Processors Source of Electronic Waste Demand Markets Landfill
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Assumptions of the model The sources minimize their costs The recyclers and the processors maximize their profits, respectively. Cournot-Nash oligopoly market.
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The behavior of the sources Minimize Subject to :
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Variational Inequality Formulation of the sources
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Recyclers’ behavior Maximize Subject to
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Processors’ behavior Maximize Subject to
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The demand markets
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Variational Inequality Formulation
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Numerical Examples 1 2 1 23 1 23 3 1 2 Sources r Recyclers Processors Demand Markets Landfill
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10.00 9.53 0.00 0.95 10.00 20.00 19.06 0.00 10.00 20.00 76.26 0.00 231.79 372.47 40.67 247.97 212.24 45.40 279.99 274.28 242.14 Change of conversion rates
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High demand and low demand 10.00 3.50 0.00 13.00 10.00 3.50 0.00 10.00 3.50 0.00 231.79 4.52 247.97 14.03 279.99 26.56
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Summary Proposed a rigorous E-cycling mathematical model * the endogenous equilibrium prices and material shipments between tiers. Decision makers’ behavior in a bottom tier influences those in a upper tier. * influence of a bottom tier’s conversion rate. * influence of low demand. Sustainable E-cycling system
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Global Supply Chain Networks and Transboundary Emisssion Risk
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Economic Globalization and Transboundary Pollution Economics globalization may exacerbate transboundary pollutions (Coperand (1995), Benarroch (2001) ) * Increase in volume of traffic * Relaxation of environment standards for helping domestic firms Transboundary pollution (pollution across boundaries) Carbon dioxides, methane, Chlorofluorocarbons (CFCs), Sulphur dioxide, Nitrogen oxides and so on
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Risks of transboundary pollution * No clear relationship between how much a country emits and how much is deposited there. * Hard to predict how much pollution travels from a country according to the natural conditions.
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Thank You !!
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