Merging of intelligent products in reverse logistics

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MERGING OF INTELLIGENT PRODUCT IN
REVERSE LOGISTICS SUPPLY CHAIN
NITIN KALE
TOULOUSE BUSINESS SCHOOL AND IMT MINES ALBI
MASTER THESIS DEFENCE PRESENTATION
ACADEMIC YEAR 2019-2020
GUIDED BY:- MICHELALDANONDO

2. AGENDA
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• Why This Topic
• Aim And Research Question
• Methodologies
• Introduction To Reverse Logistics
• Introduction To Intelligent Product
• Working Of Intelligent Product
• Rq1 What Are The Main Uses Of Intelligent Product In
Reverse Logistics
• Rq2 How Intelligent Product Can Help In Solving Main
Reverse Logistics Problems
• Rq3 What Are The Challenges Faced While
Implementing Intelligent Product In Reverse Logistics
• Conclusion
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3. WHY THIS TOPIC
1.79
1.92
2.05
2.14
2018 2019 2020 2021
online
buyer
in
billion
years
online shopping
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• Internet Based Shopping And Online Food
Delivery
• Globalization And Markets
• Customer Satisfaction
• Increasing Value Of Intelligent Products
• Introducing Intelligent Product In Reverse
Logistics

4. AIM AND RESEARCH QUESTIONS
AIM
The aim of this thesis project is to understand the concept of reverse logistics and intelligent product in detail. And
focus on use and implementation of intelligent product in reverse logistics. Studies will also try to look for some
challenges faced while executing intelligent product in reverse logistics. Research question which I would like to
highlight in this thesis are given below
RESEARCH QUESTIONS
1. What are the main Uses of intelligent product in reverse logistics?
2. How intelligent product can help in solving main reverse logistics problems?
3. What are the Challenges faced while implementing intelligent product in reverse logistics?
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5. METHODOLOGIES
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6. INTRODUCTION TO REVERSE LOGISTICS
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DEFINITION
“RL is the process of planning,
implementing, and controlling
the efficient, cost effective flow
of raw materials, in process
inventory, finished goods and
related information from the
point of consumption to the
point of origin for the purpose
of recapturing value or proper
disposal” (Rogers and Tibben
1999)
01
DRIVERS OF REVERSE
LOGISTICS
1. Returning
2. Recalling
3. Environmental Factors
And Government Laws
4. Product Life Cycle
02
MAJOR PROBLEMS IN
REVERSE LOGISTICS
1. High Cost Associated With
Reverse Logistics.
2. Uncertainties Relating To
Product Returns.
3. Lack Of Collaboration With
Supply Chain Partners In
Reverse Logistics.
4. Poor Data Visibility And Lack
Of Information
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7. INTRODUCTION TO REVERSE LOGISTICS
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ACTIVITIES IN
REVERSE LOGISTICS
Product
Recycle, remanufacturing, reuse
and repair
Packaging
Reuse, Reclaim material,
Recycle,
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PROCESSES IN
REVERSE LOGISTICS
1. Product Acquisition
2. Collection (ownership of
product)
3. Inspection And Sorting
4. Disposition (reusing of
product)
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8. INTRODUCTION TO INTELLIGENT PRODUCT
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DEFINITION
1. Possesses a unique identity
2. Can communicate effectively
with its environment
3. Can retain or store data about
itself
4. Deploys a language to display
its features, production
requirements etc.
5. Can participate in or making
decisions relevant to its own
destiny
01
DRIVERS OF
INTELLIGENT PRODUCT
1. Physical Intelligent
product
2. Auto-ID technology
3. Software agent
02
SELECTED INTELLIGENT
PRODUCT
1. Radio-frequency
Identification
2. Internet of things
3. Cloud computing
4. Blockchain
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9. WORKING OF INTELLIGENT PRODUCT
AUTO ID TECHNOLOGY
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1. EPC CODE 2. SMART TAG 3. JAR OF SAUCE
SMART
TAG
F135.N756.JM8A.76NN
F135.N756.JM8A.76NN F135.N756.JM8A.76NN F135.N756.JM8A.76NN
Jar of sauce Reader Internet
Auto Id
Technology
(collecting
information and
storing them)
EPC (Electronic
Product Code)
Smart Tags
and Flexible
Readers
A Mark Up
Language to
describe Product
features (PML
XML)

10. WORKING OF INTELLIGENT PRODUCT
SOFTWARE AGENT
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SOFTWARE AGENT
A program which autonomously acts
on behalf of its human (or
organizational) principal while
carrying out complex information
and communication tasks which
have been delegated to it.
It has an ability to act on its own and
take initiatives where it is needed

11. RQ1
WHAT ARE THE MAIN USE AND
APPLICATION OF INTELLIGENT
PRODUCT IN REVERSE
LOGISTICS
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12. USE OF RFID IN REVERSE
LOGISTICS
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Speedily and accurate reverse product information
Ability to take better decision
Improving visibility along whole reverse logistics
Improving process automation
Quality improvement and consistency
Reduction in operation expenditure
Raw material manufacturing distributer retailers customer
(RFID TAG)
RFID database product acquisition
Receiving RFID portal
Recycling remanufacturing reuse repair
Figure 8 Use of RFID in return management of reverse logistics
Inspection & sorting
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13. USE OF INTERNET OF
THINGS IN REVERSE
LOGISTICS
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Accurate location of product in reverse logistics processes
Real time tracking and visibility
Monitoring storage condition of received product
Condition of return product
Lifetime management of products
Forecasting product availability
Locating product easy in warehouse
RFID SYSTEM IOT SYSTEM
RADIO WAVES
RFID ANTENNA
RFID TAG
RFID READER CLOUD
SENSORS
HIGH VISIBILITY IN REVERSE
LOGISTICS PROCESS
LOCATION CONDITION
STATUS VARATIES
AUTOMATION OF PROCESS
FORCASTING RECOMMENDATIONS
AUTOMATIC ORDERS
INTRAGATION WITH OTHER SYSTEMS
MES WMS ERP PIMS
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14. USE OF BLOCKCHAIN IN
REVERSE LOGISTICS
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Increasing traceability of product return
Reduction in paperwork and overhead cost
Spare part management (Counterfeit spare parts )
Recall management
Warranty management
Engaging different actors and stakeholders
Risk mitigation
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15. USE OF CLOUD COMPUTING
IN REVERSE LOGISTICS
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Better time management
Forecasting and planning of product return
Inventory Management.
Better quality evaluation
Continuous improvement
Communication management
Better management of resources
customer transportation gatekeeping collection inspection deposition
INTERNET
CLOUD SERVICES
Access to web browser
Exchange of information
Public server
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16. RQ2
HOW INTELLIGENT PRODUCT
CAN HELP IN SOLVING REVERSE
LOGISTICS CHALLENGES
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17. TECHNOLOGIES
USED IN SOLVING
REVERSE LOGISTICS
PROBLEMS
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REVERSE LOGISTICS
PROBLEMS
TECHNOLOGY USED
High Cost Associated With
Reverse Logistics
BLOCKCHAIN
Uncertainties Relating To
Product Returns
RFID
Lack Of Collaboration With
Supply Chain Partners In
Reverse Logistics
CLOUD COMPUTING
Poor Data Visibility And
Lack Of Information
INTERNET OF THINGS

18. HIGH COST ASSOCIATED WITH
REVERSE LOGISTICS:- BLOCKCHAIN
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• Clam management
• Smart contract
• Removal of 3rd party involvement
• Corruption and scam
• Labor cost
• Lack of visibility problem
• Inventory cost and costly data error
• Transportation cost
• Warehouse cost management
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19. UNCERTAINTIES RELATING TO PRODUCT
RETURNS:- RFID TECHNOLOGY
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1. Quantity
2. Varieties
3. Quality (EDL)
4. Cycle time
5. Market demand ( forecasting)
customer retailer transportation inspect collection diposal
Quality uncertainty
Market uncertainties
Cycle time uncertainties
Variety uncertainties
Quantity uncertainties
Collecting point transport
Receive/inspect/
sort product Disposal decision
Product return path
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20. LACK OF COLLABORATION WITH SUPPLY
CHAIN PARTNERS IN REVERSE
LOGISTICS:- CLOUD COMPUTING
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• Standard technology
a. server interface
b. middleware service management
• Virtualization technology
• Mass data management technology
• Platform management technology
Information management platform
Virtual users of different RLSCM
enterprise
Cloud computing service provider
Reverse logistics supply chain enterprise
data
RLSCM member
RLSCM information interface
User permission
Standard interface
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21. LACK OF INFORMATION FLOW IN
REVERSE LOGISTICS SYSTEM:- IOT
TECHNOLOGY
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• RFID TAG AND RFID READER
• PROCESSOR (TRANSMIT EPC TO
PML)
• METHOD BASE AND MODEL BASE
DATABASE
• DATA REPROCESSING
• BACKFLOW PREDICTION
• BACKFLOW MATERIAL FLOW
DISPLACEMENT
• REVERSE LOGISTICS RECYCLING
DEPARTMENT
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22. RQ3
WHAT ARE THE CHALLENGES
FACED WHILE IMPLEMENTING
INTELLIGENT PRODUCT IN
REVERSE LOGISTICS
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23. CHALLENGE FACED WHILE
IMPLIMENTING RFID IN RL
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1. FUNDAMENTAL
2. TECHNICAL
3. SECURITY
4. STATE REGULATION AND
SECRECY ISSUE
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STAGES PROBLEMS
FUNDAMENTAL
 High capital cost
 RFID tags and RFID reader cost
 Data management cost
 Drivers for adoption of technology
 Difficulty in finding return of investment (ROI)
TECHNICAL
 Problem with RFID standards
 system getting easy damage
 RFID tags and RFID reader collision
 problem in rate of reading
 Lack of RFID expertise
 Trouble while compiling low price tags
SECURITY
 Data bandit
 Corruption of data
 Problems due to wireless transfer of data.
 Challenges in maintaining data security and site securities
 Worries about how RFID will use data
STATE REGULATION AND SECRECY ISSUE
 Uncertainty regarding model use
 Missuses of customer data
 Government regulation

24. CHALLENGES FACED WHILE IMPLIMENTING
IOT IN REVERSE LOGISTICS
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Security and
personal safety
Privacy
Data extraction from
complex
environment
Connectivity Power requirement Storage cloud

25. CHALLENGES FACED WHILE IMPLIMENTING
BLOCKCHAIN IN RL
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Initial cost for
setup
Consumption
of energy
Security and
privacy
Scalability
Lack of
regulation

26. CHALLENGES FACED WHILE IMPLIMINTING CLOUD COMPUTING
IN RL
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Cost
Data security
concern
Downtime
Lack of resources
and expertise's
Interoperability
Computing
performance

27. CONCLUSION
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Data capture
by IOT based
RFID sensors IOT gatways IOT gateway
Storage on
block chain
cloud
Blockchain
smart
contract
Applications
Reverse
logistic
flow
 Return order placed
 Product
identification
 Real Product
information
 Data of
transport
 Storage&
status
condition
 Real time
product
shipment
across
network

 Status of
product return
 Condition of
product
identified
 Sync with RL
processes
 Status of
product
collection
 Gaining
Ownership of
product return
 Inspecting the
condition of
product
 Sorting it
according to
varieties &
qualities
 Taking decision
about disposition
 Recycle-raw
material
 Remanufacture-
manufacturing
 Reuse - distributer
 Repair -retailer
Information
transaction
Blockchain as server on deployed on cloud
Smart contract
Matching product return data
Matching product return invoice
Checking quality of return
product
Update return inventory level
Payment of bills in reverse logistics
Sharing product data to manufacturer
IOT sensors with RFID
ACCURACY OF RISK
information
SCALABILITY TRACEABILITY OF GOODS EXACT PRODUCT DATA
PRODUCT LIFECYCLE MANAGEMENT
EASY RETURN
TRANSPARANCY OF RL GOODS
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ANY QUESTION? THANK YOU