Statics and Dynamics of Complex Network Systems: Supply Chain Analysis and Financial Networks with...
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Statics and Dynamics of Complex Network Systems: Supply Chain Analysis and Financial Networks with
Intermediation
Ke Ke
MKIDS Mini-WorkshopSeptember 10, 2003
The Virtual Center for Supernetworks
Literature Survey
Supply Chain Analysis:
• Nagurney and Dong (2002)
• Nagurney, Dong, and Zhang (2001)
• Nagurney, Loo, Dong, and Zhang (2001)
• Nagurney and Dong (2000)
• Nagurney, Dong, and Mokhatarian (2000, 2001)
Financial Networks with Intermediation:
• Thore (1969, 1980)• Nagurney, Dong, and
Hughes (1992)• Nagurney and Dong
(1995, 1996a, b)
Related Publications
• Nagurney, Ke, Cruz, Hancock, and Southworth (2002)
• Nagurney and Ke (2001a, b)• Nagurney and Ke (2003)
Research Motivation• We propose a multilevel network to capture
distinct flows, in particular, the logistical, informational, and financial flows within the same supply chain network system.
• The theoretical framework provides an abstraction of decision-making in the case of agents, such as firms, consumers, as well as intermediaries, who operate in a decentralized fashion on both physical and virtual networks, and allows not only for the visualization of business processes as networks but also for the prediction of production volumes and shipments of products, prices, as well as, as appropriate information and financial flows.
Research Motivation (Cont.)
• We develop a framework for the modeling, analysis, and computation of solutions to financial network problems in the presence of intermediation.
• Advances in telecommunications have had an enormous effect on financial services and the options available for financial transactions. We then will further to include the electronic transaction in the financial network modeling.
Notations
• m firms with a typical firm denoted by i,• n retailers with a typical retailer
denoted by j,• o demand markets with a typical
demand market denoted by k.
The Projected Dynamical System
Let X = the shipment and price variables
and F(X) (Fij, Fjk, Fj, Fk) i=1,…,m; j=1,…,n; k=1,…,o,
Where ; jij
j
ij
ijij
ij
iij q
Qc
q
qc
q
QfF 2
11 )()()(
F
;)( 32
2 kjkjjk QcF
).(, 3111
k
n
jjkk
o
kjk
m
iijj dqFandqqF
Then the dynamic model can be rewritten as the PDS defined by the initial value problem:
X = ΠK(X, -F(X)), X(0)=X0.
Qualitative Properties
• Monotonicity• Lipschitz continuity• Existence and uniqueness of a solution
to the initial value problem• Stability of the system
A Discrete Time Algorithm
• Step 0: Initialization
• Step 1: Computation
• Step 2: Convergence verification
Introduction
Financial network with intermediation
• consists of:– source of funds– intermediaries– consumers of
funds• the flows on the
links: the allocation of the financial instruments
Multilevel supply chain network
• consists of:– manufacturers – retailers – consumer markets
• the flows on the links: prices of products
Introduction (Cont.)
• direction of financial flows: from top tier, through middle tier, until the bottom tier.
• objective of the decision-makers of first two tiers– profit maximization– minimization of
risks
• direction of financial flows: – bottom up
• objective of the decision-makers of first two tiers:– Profit maximization
Qualitative Properties
• Monotonicity• Existence of a solution to the VI problem• Uniqueness
• Lipschitz continuity
The Network Structure
• electronic transactions • source agents can transact:
– with the intermediaries either physically or electronically
– with the consumers in an electronic manner.
• intermediaries transact with the consumers either physically or electronically
Notations
• l: the transaction mode– l=1: a physical transaction – l=2: an electronic transaction via the
Internet
• All other notations and assumptions remain the same as in the previous model.
Qualitative Properties
• Monotonicity• Existence of a solution to the VI problem• Uniqueness
• Lipschitz continuity
Summary• The dynamic supply chain network model and a
series of financial equilibrium models are developed here. Sufficient progress has already been obtained as evidenced from our publications.
• We extend the work in general financial equilibrium modeling, analysis, and computation in a network framework to include financial intermediaries, the underlying dynamics associated with the financial flows and prices, and the inclusion of electronic transactions. It, thus, will incorporate the dimension, lacking in financial flow of funds accounts, of the explicit dynamic behavior of the various financial agents as well as the price dynamics.