Page 99 - DCAP601_SIMULATION_AND_MODELING

Unit 6: Discrete System Simulation (III)

More advanced users have matured into centralised plant operations control with SCADA Notes
technologies. In terms of product design and manufacturing process design, 3D design,
PLM (product lifecycle management), and digital manufacturing are evolving in adoption
cycle from the nascent stage of 2D design platform.
Very advanced users, though a few, have evolved to use complete plant and simulation,
with virtual commissioning and advanced tools such as process simulate, factory flow,
factory CAD and so on. Here, practically before a single rupee is invested in physical plant
infrastructure, the entire model and operations can be visualised on different what-if
business scenarios.

In the horizontal functions, ERP (enterprise resource planning) has a mature adoption
curve, while SCM (supply chain management) systems are in mid stage of maturity in
adoption. Very progressive companies have looked at vertical application integrations,
between the shop floor and business systems, to provide competitive advantage and have
adopted manufacturing execution systems (MES) and manufacturing intelligence solutions.
Fundamentally, we can look at the users from two perspectives.
First, the manufacturers who are part of the Indian manufacturing sourcing hub which
serves the global OEMs. They are more aligned to technologies prevalent in sourcing
geography and are early adopters of the same, especially in the area of product design and
quality management which has direct impact on the end product being shipped by the
global client. So, 3D product design, PLM, online inspection and quality management
system adoptions are quite concurrent with the western users.
Question
Are there any differences in these technology adoptions between global users and Indian
manufacturing users?
Source: http://www.thehindubusinessline.in/ew/2010/04/19/stories/2010041950140400 .htm

6.3 Summary

 The uniform distribution is hardly ever used straightforwardly in any econometric model.
Other distributions, especially the normal or Gaussian distribution, are much more
established. Various methods survive to convert a uniform RNG into a non-uniform
counterpart.
 Monte Carlo simulation methods are especially useful in studying systems with a large
number of coupled degrees of freedom, such as fluids, disordered materials, strongly
coupled solids, and cellular structures
 Interestingly, Monte Carlo simulation methods do not always require truly random
numbers to be useful — while for some applications, such as primality testing,
unpredictability is vital.

6.4 Keywords

Relationships: Link entities together e.g. a part may be processed by a machine.

Simulation Executive: Responsible for controlling the time advance and executing discrete
events.
Time Slicing: Advances the model by a fixed amount each time, regardless of the absence of any
events to carry out.

LOVELY PROFESSIONAL UNIVERSITY 93