Impact of Emerging Trends on Global Logistics Management (LGMT 685)
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This report, prepared for LGMT 685, reflects on the impact of emerging trends on the global logistics environment. The author explores the influence of blockchain technology, big data analytics, and green supply chain initiatives on various aspects of supply chain management. The report details how blockchain enhances security and transparency, big data improves data accuracy and insights, and green initiatives promote sustainability. The student's analysis covers inexperienced transportation, storage, packing, reverse logistics, and innovation. Furthermore, the report discusses the benefits of collaborative supply chains, supported by course learnings and external sources. The conclusion summarizes the expected changes in the future of global logistics, emphasizing the need for adaptation to these evolving trends. The report also explores the effects of collaborative supply chains and their impact on internal processes, ultimately improving service performance. References from reputable sources support the analysis and insights presented throughout the report.
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Running Head: LOGISTICS MANGEMENT 0
LOGISTICS
MANAGEMENT
System04121
6/30/2019
LOGISTICS
MANAGEMENT
System04121
6/30/2019
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LOGISTICS MANGEMENT 1
Contents
Emerging trends and its impact on supply chain management..................................................3
1. Block chain.........................................................................................................................3
2. Big data:..............................................................................................................................4
3. Green supply chain initiatives:...........................................................................................6
Inexperienced transportation:..........................................................................................6
Inexperienced storage:....................................................................................................6
Inexperienced packing:...................................................................................................6
Reverse logistics:............................................................................................................7
Inexperienced innovation:...............................................................................................7
4. Collaborative supply chain:................................................................................................8
References..................................................................................................................................9
Contents
Emerging trends and its impact on supply chain management..................................................3
1. Block chain.........................................................................................................................3
2. Big data:..............................................................................................................................4
3. Green supply chain initiatives:...........................................................................................6
Inexperienced transportation:..........................................................................................6
Inexperienced storage:....................................................................................................6
Inexperienced packing:...................................................................................................6
Reverse logistics:............................................................................................................7
Inexperienced innovation:...............................................................................................7
4. Collaborative supply chain:................................................................................................8
References..................................................................................................................................9

LOGISTICS MANGEMENT 2
Emerging trends and their impact on supply chain management
Through my course learning, I learned that Global logistics is the procedure mainly a
discipline but also an drawing—of handling the movement of goods from side to side the
supply chain, from the dwelling where they are made to the place where they are expended.
Supply chain management is a field or an area that is evolving over the years and over the
years the field of supply chain management is rapidly changing. Due to the rapid changes,
there is an impact on every sub function and aspect of the stream chain which includes the
design of supply chain, introduction of a new product, sourcing the product to the final
customer.
1. Blockchain
According to my learning and understanding of the course, blockchain is a
form of database that helps in recording the digital data one example of this is Bitcoin.
Blockchain is the most popular emerging technology also it has taken the tech-savvy
merchants by storm, one of the most exciting things that I learned is that it can be
used for the non- currency purposes as well, it was initially only used as a financial
transaction. Blockchain technology helps to be more secure and transparent and it is
able to track all the transactions, it can also change the whole process of supply chain
as each time any creation will change the business would be able to get documented
which will also help in making a enduring past of the creation from the sale and
manufacturing. All of these things can help in reducing the delay in time, it can also
reduce the cost added and lastly it will also reduce the human error that plagues
transactions today.
Emerging trends and their impact on supply chain management
Through my course learning, I learned that Global logistics is the procedure mainly a
discipline but also an drawing—of handling the movement of goods from side to side the
supply chain, from the dwelling where they are made to the place where they are expended.
Supply chain management is a field or an area that is evolving over the years and over the
years the field of supply chain management is rapidly changing. Due to the rapid changes,
there is an impact on every sub function and aspect of the stream chain which includes the
design of supply chain, introduction of a new product, sourcing the product to the final
customer.
1. Blockchain
According to my learning and understanding of the course, blockchain is a
form of database that helps in recording the digital data one example of this is Bitcoin.
Blockchain is the most popular emerging technology also it has taken the tech-savvy
merchants by storm, one of the most exciting things that I learned is that it can be
used for the non- currency purposes as well, it was initially only used as a financial
transaction. Blockchain technology helps to be more secure and transparent and it is
able to track all the transactions, it can also change the whole process of supply chain
as each time any creation will change the business would be able to get documented
which will also help in making a enduring past of the creation from the sale and
manufacturing. All of these things can help in reducing the delay in time, it can also
reduce the cost added and lastly it will also reduce the human error that plagues
transactions today.

LOGISTICS MANGEMENT 3
2. Big data:
From the course study, I have learned that Big Data helps the network of
suppliers to get data accuracy, insights and clarity which helps in leading to more
level of Intelligence In the supply chain. Manufacturers help in orchestrating more
than 80% of their provider system movement by means of the big data and cloud-
based machineries in command to achieve the legacy of enterprise resource planning
and the supply chain management systems. According to my learning, big data is
impacting the supply chain in various ways. Around 60-70% of supply chain
executives consider the big data as troublesome as well as an important technology
(Zhu, Sarkis, & Geng, 2009).
Through the course learning, I have learned that big data analysis is something
that helps in the management of logistics environment as it helps in understanding the
development of the industry (Tse, Zhang, Yang, Cheng, and Mu, 2017). In today’s
world, the logistics environment is facing a extremely competitive and quickly
changing market environment. There are various ways in which big data can impact
the logistics environment. Some of the ways are:
There are innumerable loading issues and problems in transportation in the feature of
logistics enterprises.
There is also lack of forecast in the future market by the analysis of data and they also
do it in order to grow the transport capacity and the area of storage when they are able
to the see the immediate growth of the business (Cooper, Lambert, & Pagh, 2009).
There are various and very large numbers of capacity surplus and unoccupied
warehouses so when the market analysts and the volume of business decline, it leads
to the damage in the logistics.
2. Big data:
From the course study, I have learned that Big Data helps the network of
suppliers to get data accuracy, insights and clarity which helps in leading to more
level of Intelligence In the supply chain. Manufacturers help in orchestrating more
than 80% of their provider system movement by means of the big data and cloud-
based machineries in command to achieve the legacy of enterprise resource planning
and the supply chain management systems. According to my learning, big data is
impacting the supply chain in various ways. Around 60-70% of supply chain
executives consider the big data as troublesome as well as an important technology
(Zhu, Sarkis, & Geng, 2009).
Through the course learning, I have learned that big data analysis is something
that helps in the management of logistics environment as it helps in understanding the
development of the industry (Tse, Zhang, Yang, Cheng, and Mu, 2017). In today’s
world, the logistics environment is facing a extremely competitive and quickly
changing market environment. There are various ways in which big data can impact
the logistics environment. Some of the ways are:
There are innumerable loading issues and problems in transportation in the feature of
logistics enterprises.
There is also lack of forecast in the future market by the analysis of data and they also
do it in order to grow the transport capacity and the area of storage when they are able
to the see the immediate growth of the business (Cooper, Lambert, & Pagh, 2009).
There are various and very large numbers of capacity surplus and unoccupied
warehouses so when the market analysts and the volume of business decline, it leads
to the damage in the logistics.
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LOGISTICS MANGEMENT 4
Through the examination of big data, logistics initiatives can style positive estimates
of the upcoming marketplace and the competitors behavior which helps in the timely
adjustment of the development strategy and also helps in avoiding the blind asset
investment which reduces the losses (Cooper, & Ellram, 2000).
Big data analysis can benefit logistics as well as it helps in increasing purchaser
loyalty. For logistics, the examination of customer's behavior custom can help them to
invest in the market raise, supply chain speculation and promotion asset revenues by
expansion.
By the progressive and arithmetical use of approaches, the logistics environment can
create model over the highest of history and the user examination of, forecast their
upcoming behavior, then project forward-looking logistics facility plan, therefore
assimilate capitals and improve the smooth of collaboration with the consumer in
order to evade the damage of consumers (Beamon, 2009).
Logistics environment is not solitary used for removal value but for the current users
as well as through big data, they are able to access the new users efficiently
Big data technology is altering rules of the game in the market raise with rebellion. By
the information promotion, interaction, push service change, price changes and
market changes and other material to consumers they are repetitively able to
encounter the transformation of the needs of the customers
Internet, marketing is something that will not be affected through the place and time
restrictions, and there will be no longer any kind of a one-way information flow
One of the inordinate differences is that through communicating with the customers
and enticing customers in order to achieve the consumers, launch advertisings and
finally to reach a sale, the entire marketing procedure can be understood only in the
Through the examination of big data, logistics initiatives can style positive estimates
of the upcoming marketplace and the competitors behavior which helps in the timely
adjustment of the development strategy and also helps in avoiding the blind asset
investment which reduces the losses (Cooper, & Ellram, 2000).
Big data analysis can benefit logistics as well as it helps in increasing purchaser
loyalty. For logistics, the examination of customer's behavior custom can help them to
invest in the market raise, supply chain speculation and promotion asset revenues by
expansion.
By the progressive and arithmetical use of approaches, the logistics environment can
create model over the highest of history and the user examination of, forecast their
upcoming behavior, then project forward-looking logistics facility plan, therefore
assimilate capitals and improve the smooth of collaboration with the consumer in
order to evade the damage of consumers (Beamon, 2009).
Logistics environment is not solitary used for removal value but for the current users
as well as through big data, they are able to access the new users efficiently
Big data technology is altering rules of the game in the market raise with rebellion. By
the information promotion, interaction, push service change, price changes and
market changes and other material to consumers they are repetitively able to
encounter the transformation of the needs of the customers
Internet, marketing is something that will not be affected through the place and time
restrictions, and there will be no longer any kind of a one-way information flow
One of the inordinate differences is that through communicating with the customers
and enticing customers in order to achieve the consumers, launch advertisings and
finally to reach a sale, the entire marketing procedure can be understood only in the

LOGISTICS MANGEMENT 5
material communication, and carry out precision advertising over the understanding
of user behavior (Mikurak, Accenture LLP, 2009)
Big data examination can help in improving the quality and transparency of a facility
organization in the logistics environment.
Big data study can help in making the logistics consultants and the presentation of the
logistics group even more see-through by the use of the information logistics,
message foundational and information distribution, and it can also help in the indirect
improvement of logistics service quality (McAfee, Brynjolfsson, Davenport, Patil, &
Barton, 2012)
3. Green supply chain initiatives:
During my course study, I also learned about various things in which green supply
chain helps and also the effect of it on the supply chain
Inexperienced transportation: the green delivery denotes to shape up a
sort of oil with the minimum total contamination because the influence to
attempt to position hooked on practice session the multi-transportation and
share style. Appropriately, restore up the shipping can in this manner assume
the litter, mediocre the fee and increase the component stage (Simatupang, &
Sridharan, (2012).
Inexperienced storage: the green storage planetary denotes to
authorization the urban improvement within the postponement of products-
storing to preserve the manpower price, operative the environmentally
pleasant items to castrate the garage interplanetary items, receipt the process
of centralized-stock to decrease the radicalization to the neighbourhood and
material communication, and carry out precision advertising over the understanding
of user behavior (Mikurak, Accenture LLP, 2009)
Big data examination can help in improving the quality and transparency of a facility
organization in the logistics environment.
Big data study can help in making the logistics consultants and the presentation of the
logistics group even more see-through by the use of the information logistics,
message foundational and information distribution, and it can also help in the indirect
improvement of logistics service quality (McAfee, Brynjolfsson, Davenport, Patil, &
Barton, 2012)
3. Green supply chain initiatives:
During my course study, I also learned about various things in which green supply
chain helps and also the effect of it on the supply chain
Inexperienced transportation: the green delivery denotes to shape up a
sort of oil with the minimum total contamination because the influence to
attempt to position hooked on practice session the multi-transportation and
share style. Appropriately, restore up the shipping can in this manner assume
the litter, mediocre the fee and increase the component stage (Simatupang, &
Sridharan, (2012).
Inexperienced storage: the green storage planetary denotes to
authorization the urban improvement within the postponement of products-
storing to preserve the manpower price, operative the environmentally
pleasant items to castrate the garage interplanetary items, receipt the process
of centralized-stock to decrease the radicalization to the neighbourhood and

LOGISTICS MANGEMENT 6
decrease the negative end result of the warehousing on the break (Srivastava,
2009).
Inexperienced packing: the green per cent up denotes to a kind of
creation per cent up to a good way to now not purpose the inexperienced litter.
The p. C. Equipment needs to except the belongings and reduce the packing
discharge additionally, it is supposed to be rummage-sale and reintroduce after
use as well as stay in the slight floor while lay to rest in tell to be terrible only
(Hackius, & Petersen, 2017).
Reverse logistics: the opposite logistics is varied to the diagnosed deliver
chain, it assigns to practical elimination or improving the rate via boom,
dealing with and leading the uncooked physical centre inventory, final items
and comparative so as preliminary patron placed to twitch directly.
Inexperienced innovation: the inexperienced growth denotes to
presentation the development consisting of info and assertion information,
herbal understanding, screen generation and an aggregate of accurate skills in
the sequence of logistics organization. The appeal for the extra innovation
allows the project to get higher green control, powerfully. However,
approximately to Lin et al. (2009), inexperienced innovation is the accumulate
more related knowledge with examining ground-breaking expertise by using
training and teaching the personnel to fit knowledge workforces. Those study
but will best speak to the subject of green innovation in logistics as a center of
this examine. It's miles plan that a green development in logistics is a first-rate
location of study and practice which have the talented to provide vital earnings
to the company and the tradition. Elements influencing to introduce green
deliver management speedy modifications within the enterprise situation,
decrease the negative end result of the warehousing on the break (Srivastava,
2009).
Inexperienced packing: the green per cent up denotes to a kind of
creation per cent up to a good way to now not purpose the inexperienced litter.
The p. C. Equipment needs to except the belongings and reduce the packing
discharge additionally, it is supposed to be rummage-sale and reintroduce after
use as well as stay in the slight floor while lay to rest in tell to be terrible only
(Hackius, & Petersen, 2017).
Reverse logistics: the opposite logistics is varied to the diagnosed deliver
chain, it assigns to practical elimination or improving the rate via boom,
dealing with and leading the uncooked physical centre inventory, final items
and comparative so as preliminary patron placed to twitch directly.
Inexperienced innovation: the inexperienced growth denotes to
presentation the development consisting of info and assertion information,
herbal understanding, screen generation and an aggregate of accurate skills in
the sequence of logistics organization. The appeal for the extra innovation
allows the project to get higher green control, powerfully. However,
approximately to Lin et al. (2009), inexperienced innovation is the accumulate
more related knowledge with examining ground-breaking expertise by using
training and teaching the personnel to fit knowledge workforces. Those study
but will best speak to the subject of green innovation in logistics as a center of
this examine. It's miles plan that a green development in logistics is a first-rate
location of study and practice which have the talented to provide vital earnings
to the company and the tradition. Elements influencing to introduce green
deliver management speedy modifications within the enterprise situation,
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which include multiplied internationalisation and global opposition, but
additionally social and environmental trends, which includes weather
exchange, population increase and growing old, wealth accumulation and
distribution, vitamins, health and schooling, have an effect on organizations’
supply chains in numerous ways, resulting in new and evolving desires on
deliver chain design. Well-known features of leader green deliver chains
contain an accessory on existence cycle appraisal, asset competence, and
waste discount and provider innovation and recycling. Execute successfully,
grace stimulates product and provider innovation, enhance asset deployment,
and deepens customer relationships and service tiers through a shared
consciousness on lowering misuse and price. Some examples to expose the
effect on delivering chains (Raghupathi, & Raghupathi, 2014).
4. Collaborative supply chain:
During my course stud, I also learned that Collaboration with outdoor supply
chain objects impacts and increases the internal collaboration, which in turn recovers
service for the overall performance. This seeing can be the crucial to assisting
executives as they can know how high-quality can enable behavioural exchange. The
inference is that collaborating with customers and suppliers is a main step towards
effective collaboration in the firm (Badzar, 2016).
which include multiplied internationalisation and global opposition, but
additionally social and environmental trends, which includes weather
exchange, population increase and growing old, wealth accumulation and
distribution, vitamins, health and schooling, have an effect on organizations’
supply chains in numerous ways, resulting in new and evolving desires on
deliver chain design. Well-known features of leader green deliver chains
contain an accessory on existence cycle appraisal, asset competence, and
waste discount and provider innovation and recycling. Execute successfully,
grace stimulates product and provider innovation, enhance asset deployment,
and deepens customer relationships and service tiers through a shared
consciousness on lowering misuse and price. Some examples to expose the
effect on delivering chains (Raghupathi, & Raghupathi, 2014).
4. Collaborative supply chain:
During my course stud, I also learned that Collaboration with outdoor supply
chain objects impacts and increases the internal collaboration, which in turn recovers
service for the overall performance. This seeing can be the crucial to assisting
executives as they can know how high-quality can enable behavioural exchange. The
inference is that collaborating with customers and suppliers is a main step towards
effective collaboration in the firm (Badzar, 2016).

LOGISTICS MANGEMENT 8
References
Badzar, A. (2016). Blockchain for securing sustainable transport contracts and supply chain
transparency-an explorative study of blockchain technology in logistics.
Beamon, B. M. (2009). Designing the green supply chain. Logistics information
management, 12(4), 332-342.
Cooper, M. C., & Ellram, L. M. (2000). Characteristics of supply chain management and the
implications for purchasing and logistics strategy. The international journal of
logistics management, 4(2), 13-24.
Cooper, M. C., Lambert, D. M., & Pagh, J. D. (2009). Supply chain management: more than
a new name for logistics. The international journal of logistics management, 8(1), 1-
14.
Hackius, N., & Petersen, M. (2017). Blockchain in logistics and supply chain: trick or treat?.
In Proceedings of the Hamburg International Conference of Logistics (HICL) (pp. 3-
18). public.
McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D. J., & Barton, D. (2012). Big data:
the management revolution. Harvard business review, 90(10), 60-68.
Mikulak, M.G., Accenture LLP, 2009. Providing collaborative installation management in a
network-based supply chain environment. U.S. Patent 6,606,744.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), 3.
References
Badzar, A. (2016). Blockchain for securing sustainable transport contracts and supply chain
transparency-an explorative study of blockchain technology in logistics.
Beamon, B. M. (2009). Designing the green supply chain. Logistics information
management, 12(4), 332-342.
Cooper, M. C., & Ellram, L. M. (2000). Characteristics of supply chain management and the
implications for purchasing and logistics strategy. The international journal of
logistics management, 4(2), 13-24.
Cooper, M. C., Lambert, D. M., & Pagh, J. D. (2009). Supply chain management: more than
a new name for logistics. The international journal of logistics management, 8(1), 1-
14.
Hackius, N., & Petersen, M. (2017). Blockchain in logistics and supply chain: trick or treat?.
In Proceedings of the Hamburg International Conference of Logistics (HICL) (pp. 3-
18). public.
McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D. J., & Barton, D. (2012). Big data:
the management revolution. Harvard business review, 90(10), 60-68.
Mikulak, M.G., Accenture LLP, 2009. Providing collaborative installation management in a
network-based supply chain environment. U.S. Patent 6,606,744.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), 3.

LOGISTICS MANGEMENT 9
Simatupang, T. M., & Sridharan, R. (2012). The collaborative supply chain. The international
journal of logistics management, 13(1), 15-30.
Srivastava, S. K. (2009). Green supply‐chain management: a state‐of‐the‐art literature
review. International journal of management reviews, 9(1), 53-80.
Tse, D., Zhang, B., Yang, Y., Cheng, C. and Mu, H., 2017, December. Blockchain
application in food supply information security. In 2017 IEEE International
Conference on Industrial Engineering and Engineering Management (IEEM) (pp.
1357-1361). IEEE.
Zhu, Q., Sarkis, J., & Geng, Y. (2009). Green supply chain management in China: pressures,
practices and performance. International Journal of Operations & Production
Management, 25(5), 449-468.
Simatupang, T. M., & Sridharan, R. (2012). The collaborative supply chain. The international
journal of logistics management, 13(1), 15-30.
Srivastava, S. K. (2009). Green supply‐chain management: a state‐of‐the‐art literature
review. International journal of management reviews, 9(1), 53-80.
Tse, D., Zhang, B., Yang, Y., Cheng, C. and Mu, H., 2017, December. Blockchain
application in food supply information security. In 2017 IEEE International
Conference on Industrial Engineering and Engineering Management (IEEM) (pp.
1357-1361). IEEE.
Zhu, Q., Sarkis, J., & Geng, Y. (2009). Green supply chain management in China: pressures,
practices and performance. International Journal of Operations & Production
Management, 25(5), 449-468.
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