SAP
Simple Logistics Overview
SAP Logistics is a
functional module that gives you devises to monitor transporter execution,
increment more imperative visibility into supply chains, and surrender correct
and up to the minute information about shipments and production network
execution. You can moreover imagine customer asks for, make and market new
organizations, deal with your organization portfolio, and investigate customer
profitability to revolve around your most gainful customers. Transportation,
buying, warehousing are a portion of the fundamental assignments associated
with logistics module.
SAP S4 HANA Simple Logistics is
likewise called SAP S/4 HANA Enterprise Management. It comprises of all the key
modules under SAP ERP Business Suite: Supply Chain, Sourcing and Procurement,
Demand Planning, Material Management, Contract Management, and Manufacturing.
ERP Model versus S/4 HANA Data Model
To oversee extensive
volumes of data, SAP has given next generation Business Suite S/4 HANA, which
utilizes the computing power of HANA to process the huge amount of data at
rapid.
SAP S/4 HANA isn't a
successor of SAP ERP solution and speaks to a different product offering. SAP
ERP solution is a different product from the SAP. With new S/4 HANA Data Model,
you can accomplish the accompanying advantages over ERP Data Model
• In new S/4 HANA Data
Model, it drops every single total field and history tables (in all-out 24
tables).
• In the new model,
there is no compelling reason to perform refreshes on collection tables.
• Open for new stock
writes.
• High-speed
assessments.
With the current
business advancement, there has been an exponential development of data: big
data, social media, and mobile. In the following 2 years, there will be
development in an adaption of business systems.
SAP Simple Logistics: MIGO
In SAP ERP Business
Suite, you have MB transactions which are used to keep up and display stock
improvement in the system. These MB transactions are supplanted by single
screen summed up trade called MIGO.
Following focuses ought to be noted about MB transactions:
• These MB
transactions: MB01, MB02, MB03, MB04, MB05, MBOA, MB11, MB1A, MB1B, MB1C, MB31.
MBNL, MBRL, MBSF, MBSL, MBST, and MBSU have been evacuated.
• Transaction: MMBE_OLD
has been supplanted by transactions MMBE.
• You can likewise
utilize a Fiori App with name Stock Overflow.
• Above specified MB
transactions can't be utilized as a part of client coding
• These transactions
codes still exist in the framework. In any case, when they are called from SAP
Easy access it brings about an error message
• These transactions
will be stopped soon. Consequently, client codes utilizing these transactions
ought to be supplanted utilizing functional module BAPI_GOODSMVT_CREATE.
SAP Simple Logistics: Supply Chain Planning
In S/4 HANA framework,
Supply Chain Management process is isolated into various steps, out of which
few stages are executed by S/4 HANA parts and others by SCM segment. SAP S/4
HANA and SCM framework are coordinated together to planning and Core Interface
are utilized for integration.
Following procedures can be performed by utilizing the parts in Supply Chain Management –
• Demand Planning (DP)
• Supply Network
Planning (SNP)
• Production Planning
and Detailed Scheduling (PP/DS)
• Global
Available-to-Promise (ATP) Check
• Transport
Planning/Vehicle Scheduling (TP/VS)
Demand Planning
You can utilize demand
planning to plan future interest for particular clients, locales, or sales
associations. Demand planning enables you to gauge future demands and you can
make both amount based and value-based plans.
You characterize the
planning level utilizing characteristics in the framework. All the planning
data in demand planning is put away as key figures and it contains a numerical
esteem.
Utilizing time
qualities, you can view, plan, and store the information. Authentic information
is imported into SAP NetWeaver BW system of SCM with the utilization of BW
extractors.
Different numerical techniques can be utilized to analyze historical data for demand planning.
• Moving normal
• Constant model
• Trend demonstrate
• Seasonal model
• Exponential smoothing
In analyzing historical
are, you can utilize different consistent models for products with historical
data that progressions minimal after some time.
In Demand Planning,
seasonal models are utilized for seasonal products. According to necessity,
there can be distinctive regular items - candles, ice creams, and so on.
 |
Demand Planning Process Flow |
In the above figure,
you can see the demand planning process stream. The Sales Order points of
interest give the basis for forecasting future requests. With the conjecture
result, the demand plan is discharged as Planned Independent Requirement (PIR).
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