17.04.2015 Views

DARPA ULTRALOG Final Report - Industrial and Manufacturing ...

DARPA ULTRALOG Final Report - Industrial and Manufacturing ...

DARPA ULTRALOG Final Report - Industrial and Manufacturing ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

sustained oscillations. If the instability drives the system further into the nonlinear<br />

regime, more complicated temporal behavior may be generated. The route to chaos<br />

through subsequent period-doubling bifurcations, as certain parameters of the system are<br />

varied, is generic to large class of systems in physics, chemistry, biology, economics <strong>and</strong><br />

other fields. Functioning in chaotic regime deprives the ability for long-term predictions<br />

about the behavior of the system, while short-term predictions may be possible<br />

sometimes. As a result, control <strong>and</strong> stabilization of such a system becomes very difficult.<br />

• Emergent behavior <strong>and</strong> Self-Organization: With the individual entities obeying a<br />

deterministic selection process, the organization of the overall supply chain emerges<br />

through a natural process of order <strong>and</strong> spontaneity. This emergence of highly structured<br />

collective behavior, over time from the interaction of the simple entities leads to<br />

fulfillment of customer orders. Dem<strong>and</strong> amplification, inventory swing are some other<br />

but undesirable emergent phenomena that can also arise. For instance, the decisions <strong>and</strong><br />

delays downstream in a supply chain often leads to amplifying non-desirable effect<br />

upstream, a phenomena commonly known as “Bull Whip” effect.<br />

• Adaptation <strong>and</strong> Evolution: Supply chain both reacts to <strong>and</strong> creates it environment.<br />

Generally speaking a supply chain interacts with almost every other conceivable network.<br />

Operationally, the environment depends on the chosen scale of analysis, for e.g. it can be<br />

taken as the customer market. Typically, significant dynamism exists in the environment<br />

which necessitates a constant adaptation of the supply network. However the<br />

environment is highly rugged making the co evolution difficult. The individual entities<br />

constantly observe what emerges from a supply network <strong>and</strong> make adjustments to<br />

organizational goals <strong>and</strong> supporting infrastructure. Another common way of adaptation is<br />

through altering boundaries of the network. The boundaries can change as a result of<br />

including or excluding particular entity <strong>and</strong> by adding or eliminating connections among<br />

entities, thereby changing the underlying pattern of interaction. As we discuss next,<br />

Supply chain management plays a critical role in making the network evolve in a<br />

coherent manner.<br />

3.1 Supply Chain Management<br />

Supply chain management is defined as the integration of key business processes from endusers<br />

through original suppliers that provide products, services, <strong>and</strong> information <strong>and</strong> add value for<br />

customers <strong>and</strong> other stakeholders (Cooper et. al. 1997). It involves balancing reliable customer<br />

delivery with manufacturing <strong>and</strong> inventory costs. It is evolved around a customer-focused<br />

corporate vision, which drives changes throughout a firm’s internal <strong>and</strong> external linkages <strong>and</strong><br />

then captures the synergy of inter-functional, inter-organizational integration <strong>and</strong> coordination.<br />

Due to the inherent complexity it is a challenge to coordinate the actions of entities across<br />

organizational boundaries so that they perform in a coherent manner.<br />

An important element in managing SCN is to control the ripple effect of lead-time so that the<br />

variability in supply chain can be minimized. Dem<strong>and</strong> forecasting is used to estimate dem<strong>and</strong> for<br />

each stage, <strong>and</strong> the inventory between stages for the network is used for protecting against<br />

fluctuations in supply <strong>and</strong> dem<strong>and</strong> across the network. Due to the decentralized control properties<br />

of the SCN, control of ripple effect requires coordination between entities in performing their<br />

tasks. The problem of coordination has reached another dimension due to some other trends in the<br />

current supply chains.<br />

Two important organizational <strong>and</strong> market trends that are on their way have been the<br />

atomization of markets as well as that of organizational entities (Balakrishnan et al. 1999). In<br />

such a scenario product realization process has a continuous customer involvement in all phases -<br />

from design to delivery. Customization is not only limited to selecting from pre-determined<br />

model variants; rather, product design, process plans, <strong>and</strong> even the supply chain configuration<br />

have to be tailored for each customer. The product realization organization has to be formed on

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!