Dealing with Disruptive Demand in Supply Chain Management

Running head: SUPPLY CHAIN MANAGEMENT
Supply chain management
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Introduction
There are number of challenges being faced by the entities operating in the current
logistic and supply chain industry. This is due to the reason that with business complexities and
competition are increasing in the current time; challenges are also increasing from different
perspectives. However, newer challenges are getting emerged for the logistic and supply chain
partners and currently their major challenge is disruptive demand (Ivanov et al. 2017). This
refers to the issue of the frequent changing in the market demand and trend and it is causing
challenge for the entire supply chain process in coping up with these changes. Even though latest
development of technology is increasing the flexibility of the supply chain process but it is still
not enough in dealing with the concept of disruptive demand. Thus, it is becoming more urgent
for the operating players in this sector to have the effective forecasting abilities in order to
identify the probable disruptive demands.
This paper will discuss about an article where it is discussed about the ways of dealing
with the problem of disruptive demand. This article is chosen due to the reason that different
approaches from different perspectives are being discussed in this article, which will further help
to have the better idea and overview about how to deal with this challenge.
Article analysis
In the article, the prime focus is being given on the importance of forecasting abilities in
dealing with disruptive demand. This is because effective process of forecasting will help the
business entities in identifying the potential changes in the near future and designing the
organizational process and practices accordingly. One of the major ways of mitigating the
disruptive demand threat stated in this article is the use of big data and analytics

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(tandlnews.com.au 2019). In the current time, there are number of tools available for analysis of
big data, which can help in identifying the potential changes in the market trend. In addition, the
article also stated that big data analysis can also enhance the efficiency of the decision making
process due to the fact that more real world and accurate data will be available in place. Other
than focusing on the importance of big data analysis, this article also states the elements that
should be considered in calculating the probable future demands. These elements include of
natural factors such as weather and competitive factors such as pricing. Determination of the
weather condition is important because due to extreme weather, demand can get disrupted. For
instance, due to the extreme cold for longer period of time, the requirements for the customers
will get changed and supply chain process will also face barriers in transportation and storing
process (tandlnews.com.au, 2019). On the other hand, pricing factor is included because in the
current competitive scenario if the new entrants initiate cost leadership pricing, then the demand
for the substitute products will get disrupted largely. Thus, these factors should be considered in
calculating the potential demands in the long term.
This article also focused on the importance of collaboration between the different supply
chain partners in identifying the future disruptions. Initiation of the collaboration in the supply
chain process will ensure that information will be gained from more sources and coordination
can be maintained. For instance, the end retailers will have the most accurate and latest
information regarding the market trends and proper coordination will ensure that this information
is getting flowed to the backward partners. Thus, access to the real world data will be more in the
case of coordination among the channel partners. It can also be concluded that this article
provides an overview about the threat posed by the disruptive demand and the ways this can be
mitigated.