IRJET- Weight based Auto Updating Inventory Management System

INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056
VOLUME: 06 ISSUE: 05 | MAY 2019 WWW.IRJET.NET P-ISSN: 2395-0072
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WEIGHT BASED AUTO UPDATING INVENTORY MANAGEMENT SYSTEM
Ranjan Simha H S1, Rajath S2, Rohini B R3, Srivathsa M A4
1,2,4Dept. of ISE, DBIT, Visweshvaraya Technological University, Kumbalagodu, Bengaluru, Karnataka, India
3Asst. Professor, Dept. of ISE, DBIT, Visweshvaraya Technological University, Kumbalagodu, Bengaluru,
Karnataka, India
-------------------------------------------------------------------------***------------------------------------------------------------------------
Abstract — As the emerging information network, more
and more attention is paid to the Internet of Things
technology. For the application in the field of logistics,
tracking of goods and information traceability provides
advanced technical support. In recent years, China's
manufacturing industry rise rapidly, but the level of
automation of inventory management, safety stock, the
collection of information is not accurate. Things
technology has the advantage of better information
traceability, data processing and other aspects. The
data acquisition in the manufacturing process of
inventory management can help to solve the above
risks. Articles from the status of Manufacturing
Inventory Management, its existence doesn’t update
timely. The page builds a manufacturing inventory
management model based on Internet of Things
technology, and also explains the design and
implementation of the model. Finally, it proposed
measures to promote the manufacturing inventory
management model based on Internet of Things
technology.
Keywords—Internet of Things, inventory,
manufacturing, management (key words)
I. INTRODUCTION
The traditional inventory management method, such as
data update is not timely. This can be summarized in two
aspects:first,inventoryconfusion,thegoodsoutofstorage or
the shift library is not recorded in a timely manner. Due to
the low level of business automation, many production
operations cannot be mechanized, mostly done by hand.
Error-prone manual work, production data flow between
employees lead to data loss, defacement, data distortion, etc
easily. These risks are ultimately resulting in denied access
to the real basis of reliable data and information.
Information update speed is slow. It does not allow
managers real-time tracking of warehouse operations, to
grasp the production process of its decision-making. Smart
systems are playing a major role in industries, home,
colleges, and other native environments. In the smart
systems, there is a linear growth in the localization concept,
because localization is playing a crucial role in
contemporary life. It is really challenging to locate any
particular object accurately. Localization can be done in
two ways Type-1 and Type-2 IoT is a vision that permits
individuals and things to be associated in a perfect world
utilizing any path or any service. The need or urge for this
warehouse inventory management system, it is very
challenging to track, identify products or objects in big
industries. To track any product in a precise span of time it
is very difficult.
The section where goods or products are stored is called
the Warehouse. The prime goal of the Warehouse is to
control the flow of products or items. The products must be
managed cautiously otherwise it may have an effect on
time, cost. In the globalization of industries, the inventory
management.
Inventory management is a part of the supply chain. The
efficient operation of a certain degree of Things is related to
supply chain fluency. Internet of Things technology
industry throughout the logistics supply chain, real-time
visualization monitoring and management. In turn, efficient
inventory management can help supply chain more quickly
axis move, so closely related to the needs of both the
Internet of things such binders and lubricants. There is a
very wide field of application of things, and a strong cross-
cutting nature of many industries, effective links in various
industries, strengthen coordination and interaction
between the industry. The formation of a unified Internet of
Things technology-based inventory management, this mode
is more universal, and can also get considerable economies
of scale. Such as the textile industry and clothing industry,
there is a big common. The two co-feasibility of the
implementation of this management model is relatively
large. Applied to the higher costs of manufacturing
inventory management, networking, co-operation between
the industries can integrate.
II. SCOPE
In recent years, some shoes and apparel companies have
tested the water of Things, IOT technology into production,
logistics management. This electronic chip can help
enterprises in the pipeline between stores, companies and
manufacturers to set up a fast-running, the store sales
information and inventory together effectively. Same time,
through the electronic tags, the staff spends more time on
customerservice, whichled to the growth in sales volume.
As the simple operation of RFID and a heavy workload,
logistics management has been a growing body of research
and application. Inventory management ensures accurate
inventory information. Internet of Things is driven by many
of the traditional industrial structure adjustment and
industrial upgrading; the final will also promote the

development of the entire economic structure of the mode
from extensive tointensive.
MRP inventory management methods, for example, the
combination of the Internet of Things are a common
technique in the field of logistics, especially its core
technology of RFID and network technology. Inventory
management model is based on Internet of things
technology to build the basic flow to improve inventory
management. The perception layer is related to the Internet
of Things technology anytime, anywhere and access to
items fromthestorage.Thelibrary playsanimportantpart of
the real data. All data and information eventually focused
on inventory management centre database.
Internet of Things is a multi-device, multi-network,
multi-application, interoperability, and integration between
network, including a variety of sensors, computers and
communication networks. In combination with the
inventory management system to these technologies,
devices and systems connected a unified standard for the
development of interface design. Communication protocol is
particularly important. Standard interface will not be able
to achieve the sharing of resources. In April 2012, the
International Telecommunication Union examined the draft
standard submitted by the country "Overview of Things.
This standard covers the concepts, terminology, and
technical view, characteristic of Things the basic content of
the demand, the reference model, business model, reflecting
the interest demands of our country in the networking
industry. The Fig. 1 shows the IoT overview over time.
.
Fig. 1
According to market forecasts and customer contracts
production planning, and then automatically calculated
based on customer demand for finished parts, components
and raw materials demand projections, according to the
date of delivery of the finished product all parts of the
production schedule and materials procurement schedule.
First, the master production schedule, product structure
and bill of materials, existing inventory input MRP system.
MRP system according to the master production schedule
under the final demand and product structure information,
the demand for products are based on the specific
operating procedures broken down into the production
planning. Finally, demand time is limit for placing orders to
suppliers.
III. IMPLEMENTATION
The load cell sends the analog data to the ADC HX711
which plays a major role in converting that analog data
of load cell to digital data. This digital data is sent to the
Raspberry Pi through the GPIO ports which are General
Purpose Input Output (GPIO) ports used for sending and
receiving data from external sensors. This data is
converted to weight according to the program present at
the Raspberry Pi. Then this data is used for computation
of quantity of items present on the load cell at any given
point of time and this data is also used to calculate the
quantity removed or added. The data from the Raspberry
Pi is sent to the server through RESTful API in JSON
format. This data being received at the server is
processed by using some JSON libraries and is fed to the
database present in the server. This process is done after
every change in the reading and as son as a new reading
is received to maintain the integrity of the data and real
time computation and availability.The data from the
database is used to reflect the changes and the present
quantity present at the load cell using a Python front-end
where the data is shown in a grid along with time. There
is a feature where even when one entry is edited the next
cant me made the ID f last entry so any kind of cheating
will be known by seeing these IDs. The RESTful APIs are
defined and configured at the server using Java and JS.
The python program at the Raspberry Pi and the client
front end consumes this using HTTP Get and Post
requests. Post is used to hide the data from being visible
to users when sent making it more secure. The Fig. 2
shows the circuit diagram of the system.
Fig. 2
IV. PERFORMANCE TESTING CHALENGES IN IOT
 IoT does not have a standard protocol set to
establish connection between IoT application and
devices. IoT protocols used range from HTTP,
MQTT, AMQP and more. These protocols are still in
early phases of development and different IoT
vendors come up specific protocol standards.
Since these are new protocols, current
performance testing tools may or may not support

them. The Table 1 shows the testing details of the
inventory system.
Table 1.
 IoT devices or sensors spread across different
places and use different network to connect to
servers to send and receive data. As a part of PT,
we can simulate devices from different locations
using different networks such as 2G, 3G, 4G,
Bluetooth, WIFI etc.
 Sometimes IoT implementations require the data
from device that needs to be processed at runtime
and based on data received, corresponding
decision to be made. These decisions are generally
notifications or alerts. As a part of PT, these
notifications are to be monitored i.e. time taken to
generate the notification.
 IoT PT Simulation On devices or sensors Scale
Few devices to thousands of devices Protocols IoT
uses non-standard and new protocols to
communicate Requests/Response IoT devices
create the requests and receive response as well
as request and provide response. Amount of data
sent and received minimal data per request but
data is shared continuously with time interval.
Table 2 shows the test cases of the rack contents.
Table 2.
V. CONCLUSION
The system is capable of detecting the changes in the
load cell and according to the unit value it has the
intelligence to compute the changes and it can feed this
in real time to the server thus helping in monitoring the
stock
in real time and with very less human error. This is
because in the existing system there are humans to
maintain the stock and there is a considerable amount of
error during the stock arrival and even when there is
utilization of the stock there is a chance of that not being
entered into the stock and even he can use the power to
his advantage and enter wrong quantities. The sensors
are always active and very precise thus any changes is
immediately reflected to the stock owner on what the
change was and if there is any discrepancies then this
data can be produced as an evidence to claim the reality
and thus making the owner secure and he doesn’t
become a prey for the people who want to cheat him.
Since there is a use of HTTP and networks the owner
need not be in the same location to access the stock and
the current amount of items present there. He can access
that data from his system from any other place. He can
cross check the stock from the customer to know if they
match. He can immediately take necessary actions if the
stock data that he has doesn’t match with what the
customer had given him.
VI. FUTURE WORK
 Using RFID for identifying a particular item in
inventory. Fig. 3 shows the connection of RFID
sensor to Raspberry PI.
Working:
Fig. 3
The RFID RC522 is a very low-cost RFID (Radio-
frequency identification) reader and writer that is
based on the MFRC522 microcontroller.
This microcontroller provides its data through the
SPI protocol and works by creating a 13.56MHz
electromagnetic field that it uses to communicate
with the RFID tags. Make sure that the tags you
purchase for your RFID RC522 operate on the
13.56MHz frequency otherwise we will fail to read
them.
 Using CCTV camera to improve the security
prospects.
 Improving the user interface to involve with the
main system so that direct monitoring is made.
TEST
CONDITION
INPUT
SPECIFICATION
OUTPUT
SPECIFICATION
PASS
/FAIL
System
sends
Data
to Database
Data through
RESTfulAPI
Data at Database PASS
RACK ID REMOVED ADDED CURRENT
CONTENT
STATUS
1 0 1 1 MATCHING
1 0 1 2 MATCHING
1 1 0 1 MATCHING
1 1 0 0 MATCHING
1 1 0 -1 ERROR

 Using a more complex sub system for interfacing
the PI and client side system.
 GSM modules can be used to find the precise
location of the items in the rack.
 Using cloud to store and fetch the data.
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