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8/9/2019 CSAVAssignment Final
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Logistic Optimization in a Major
Shipping Company (CSAV)
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1. Cost savings for CSAV
From the case study analysis it is clear that, most of the business operations of CSAV are
dependent on container fleet, as it is proved to be second optimized company in terms of cost
savings and vessel fuel. It is given over the review that, empty container logistics will save the
cost for CSAV and this due to the fact that, operational costs are reduced due to the impact of
cargo container cycle management strategies. As a general process if the container is filled with
the respective products at the destination, it is again sent bac for the procurement routines and
thus the overall transshipment are charged along with the move of the container till it reaches the
respective destination. !ow the container is transported to the consignee and once it is emptied it
is again sent to nearest CSAV port, where the respective maintenance activities are held. "hus
from the entire process it is clear that, the container is moved couple of time with the vessel and
thus the operational costs are more when compared to the scenario, when it is moved as an empty
vessel and thus the overall costs can be saved and optimized as well. #ven the ris of imbalance,
uncertainty and information sharing is also reduced and thus this can be considered as the
optimized solution for CSAV.
2. Quality benets with empty container movement
Apart from the cost benefits and optimization, there are few $uality benefits for CSAV while
moving the empty container over the general logistics management. Information sharing and
banding with the third parties will be reduced and thus the logistic accountancy aspects can be
done in a more secure manner. As CSAV processes include %&&&&& containers maintain the
information sharing in a secure manner is always re$uired as a part of $uality control over the
company. 'ecision maing strategies can be well coordinated that were made at local level rather
than involving third party suppliers or logistics as with the empty container the corresponding
problems associated can be resolved at this level. (y moving the empty container over multiple
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locations will enhance the coordination in decision maing and thus enhances the $uality control
over shipment and logistics management of CSAV.
3. enets with forecasting mo!el
Forecasting model implemented by CSAV in the process of adopting the re$uired solution for the
empty container problem is proved to be beneficial in many aspects. #mpty Container )ogistic
*ptimization +#C* is the methodology adopted by CSAV to compromise the forecasting mode,
where the re$uired data is gathered and analyzed over the respective regional offices via the web
interface and thus the ease of access is achieved in this conte-t, where maintenance has also
become simple with the multi commodity +C networ flow as well. (ased on the actual
container demand, re$uired space can be created with the respective methodology based on the
information available against the implementation of forecasting models. C networ flow model
also contributes to the safety stocs and feeds movement and is one of the ey benefits with the
forecasting model implemented by CSAV.
". #mpty Container problem solution a!opte! by other
companies
#mpty containers are one of the substantial problems for most of the companies and the solution
adopted by them varies based on the operational capabilities. /hen the case with 0otterdam port
is considered, it followed the data driven approaches based on the level of information gathered
from multiple sources, where the top priority in this conte-t is given to the data accuracy and
guarantee by the company. #mpty container reposition strategies adopted are estimated on the
current day logistics and support from third party vendors, where CSAV never strived on the data
of third party and thus proved to be the secured and $uality measure followed by it.
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$. Cost re!uction system
Cost reduction is always important to optimize the resource utilization and improve the revenues
for any organization. Apart from the shipping logistics issues, similar problem can be considered
over software development and deployment level. /hen the software is ready for release and
about to deploy, all the $uality issues are pre1estimated and thus with the proper feedbac
control, most of the bugs can be resolved prior to the installation on production server. If the
similar problems arise once the software is deployed on the application server, changing a minor
aspect of the software will cost a lost and in some cases it leads to entire system crash. "hus theempty container problem with logistics can be applied to this scenario, where the direct
interaction clients will be reduced and based on the internal audit, all the possible post
production bugs can fi-ed before deploying the software at production site. /ith this
methodology, overall performance of the software can be optimized, while the cost of
maintenance is also reduced a lot.
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