Definition of Supply chain Management
The
supply chain management can be defined as management of the flow of services
and products. The management process includes management of transformation of
the raw materials into the final products. The supply chain management
represents the efforts of supporters and suppliers for the development and
implantation of proper management process. The management of supply chain is
economical and efficient [1, 2].
The
supply chain is not just a word but it is a complete process, a process that is
being associated with the specific company along with its suppliers for the
production as well as the distribution of a specific kind of product to the
final buyer. Supply chain management is also the same thing that has been
associated with the management of all this process that how it works and takes
place. Supply chain management is a kind of integrated process with specific
planning along with the controlling of different kinds of products, specific
kinds of information and the money across the whole value as well as the supply
chain from different kinds of customers towards the supplier of raw material [3].
Council
of the supply management professionals has defined the supply chain management
is a way that is:
“Supply
chain management incorporates the management along with the planning of all
activities that are being involved in the procurement, conversion, sourcing and
all of the management activities linked with the logistics. Most importantly,
it also includes the collaboration and coordination with their channel partners
that can be the suppliers, mediators or can be the customers as well. So
basically, supply chain management assimilates the supply and the demand
management within the companies or across the companies as well.”
Supply Design Parameters
Supply
chain management design parameters are being used to help in the publicity of
different products and to make sure as well that buyers are getting what they
need and what they like as well [4].
There
is not just a single method of supply design parameter but three different kinds
of parameters are being used that are:
The first one is strategic management.
At this strategic level, management of the different companies makes decisions
that are high in level and that are also being related to the whole
organization. This parameter is of much use and provides the benefits to the
company as well. Decisions that are being made with regards to the supply chain
must have to reflect the complete and overall corporate strategy that any of
the organization is following [5].
In this strategic level different kind of subgroups is being included that are:
·
Development of the product. Different kinds
of products need to be visualized that how they are being developed and further
transferred into the market or to some other company.
·
The second one is the presence of
customers. The company needs to look or identify the customers in this group
for their services and products as well.
·
Manufacturing of the product in a complete
well-defined way. At this level, decisions related to the manufacturing define
the infrastructure and technology related to the manufacturing that is being
required. Relying upon the forecasting and the estimation of sales as well,
company management needs to make some sort of strategic decisions in the future
that how products can be manufactured [6].
·
The last one is the suppliers, it needs to
be carefully examined about the selection of suppliers.
The next design is the Tactical
management that doesn’t focus on the different procedures and
processes like strategically management but it helps in the saving of time and
money both. It also takes care of all the customer demands and then providing
different values to them. This tactical management can help in minimizing the
risks a lot [1].
The last one is the operational
supply chain management. These decisions are being made
almost 100 times a day for every company. Such decisions are specifically made
at the business locations that affect how products are being developed, moved
and sold [8].
Supply Chain Modelling
The
next part is modeling how specific modeling takes place in the area of the supply
chain. Well, two different kinds of methods are being used for the modeling
purpose and the first one which is going to be described is Mathematical
modeling [1, 9].
·
In the process of mathematical modeling,
approaches that are being considered usually in the supply chain problems
include different kinds of methods like linear programming, non-linear
programming, multi-objective programming and many more. This modeling is linked
with all the mathematical data that needs to be sorted out. This area covers it
most of the time.
·
The second modeling method is stimulation modeling;
this area helps in the showing of behavior related to the different logistics
networks over a period of time. All the logical rules related to the supply
chain are clearly represented in a model and then further executed over a time
period for making the stimulations dynamic. Here an example can be used which
is, production is being started when certain orders start to deplete the
inventory below a specific threshold.
The Modelling Technique for Supply
Chain
Modeling
technique for the supply chain can be further approached in three different
ways that are:
1. Network
Design is the first approach and it helps in determining the location of the
production of a specific material, sourcing facilities and different paths of
the materials that are being flown through them. All such models are mostly
large and normally they are being carried out at the start of a design when the
new supply chain is about to take place. Decisions that are being further taken
by the use of these models are way more strategic as compared to the
operational in nature.
2. The
rough cut method is the second method and this model has been used widely in
many of the industries. Many of these models which are being taken on the
inventory management perspective are of much use for the decisions taken in the
future related to the operational. All these models are also known as
multi-level inventory control methods [3].
Obviously,
these models do have many of the benefits but along with it, they also have
certain limitations as well. The very first limitation is that there are many
studies of such types that tend to ignore the side of production at the cell
level and supplier capacities as well that are the main parts of the supply
chain. Another limitation is that such methods completely focus upon the
inventory systems just and then the transportation method starts getting
ignored. For all such reasons, many of the professionals think that this method
needs to be restricted a bit because of the theoretical nature of this model [1]. There are many of
the creators who restrict themselves towards the rough cut models.
3. Last
but not the least design of this supply chain management is the stimulation,
this kind of supply chain management is considered to be dynamic in nature.
So,
the above mentioned are some of the common designs related to the supply chain
management that are being used by different companies.
References
of Supply chain Management:
[1]
|
W. T. d. S. Junior, J. A. B. Montevechi, R. d. C. Miranda and A. T.
Campos, "Discrete simulation-based optimization methods for industrial
engineering problems: A systematic literature review," Engineering,
Computer Science, vol. 01, no. 01, pp. 01-10, 2019.
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[2]
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I. Longdin, Legal Aspects of Purchasing and Supply Chain Management, 3
ed., Springers, 2013.
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[3]
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S. Marco, "EFFECTIVENESS IN CONTRACT MANAGEMENT IN TAnzania a case
study of tanroads," Procurement and Supply Chain Management, vol.
01, no. 01, pp. 01-10, 2013.
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[4]
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R. M. Monczka, R. B. Handfield, L. C. Giunipero and J. L. Patterson,
Purchasing and Supply Chain Management, Cengage Learning, 2011, p. 888.
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[5]
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A. M. Pagano and M. Liotine, Technology in Supply Chain Management and
Logistics: Current Practice and Future Applications, Elsevier, 2019.
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[6]
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F. Persson and M. Araldi, "The development of a dynamic supply
chain analysis tool—Integration of SCOR and discrete event simulation," International
Journal of Production Economics, vol. 121, no. 2, pp. 574-583, 2009.
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[7]
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A. A. Vieira, L. M. Dias, M. Y. Santos, G. A. B. Pereira and J.
A.Oliveira, "Simulation of an automotive supply chain using big
data," Computers & Industrial Engineering, vol. 137, no. 01,
pp. 01-10, 2019.
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[8]
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J. Sanderson, C. Lonsdale and R. Mannion, "Evidence on the impact
of procurement and supply chain management practices and techniques," Health
Services and Delivery Research, vol. 03, no. 18, pp. 20-25, 2015.
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[9]
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C. Y. Yi, E. Ngai and K. Moon, "Supply chain flexibility in an
uncertain environment: exploratory findings from five case studies," SUPPLY
CHAIN MANAGEMENT: AN INTERNATIONAL JOURNAL, vol. 16, no. 04, pp. 271-283,
2011.
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[10]
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C. S. Tang, H. Davarzani and J. Sarkis, "Quantitative models for
managing supply chain risks: A reviewAuthor-Name: Fahimnia, Behnam," European
Journal of Operational Research, vol. 247, no. 01, pp. 01-15, 2015.
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