Theses and Dissertations topics related to Supply Chain Management, Procurement Management, Inventory Management, and Distribution Management

Thesis and Dissertation topics related to
Supply Chain Management, Procurement
Management, Inventory Management, and
Distribution Management - continued from
previous page: By: Professor Nand Kishore
Prasad, Principal Consulting Officer

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(I) Global Supply Chains: In the modern world,
suppliers in a country are facing direct
competition from international suppliers as if the
latter are operating within the country. This has
happened due to modernization of information
management and dissemination, supply routes,
payment channels, electronic contracts, leading to
improved reliability and reduced lead times of
international suppliers. The students may like to
undertake study on monitoring and management
of global supply chains/networking by
professionals working in MNCs. A sample of
possible research topics in this area is presented
below. In addition to the following sample topics,
please contact us at consulting@eproindia.com or
consulting@eproindia.net to get more topic
suggestions and to discuss your topic.

(a) Influence of logistics performance on global
business performance
(b) Global supply chain planning and operation in
the modern era of disturbances and turbulences
(c) PESTEL analysis for designing an effective and
efficient global supply chain
(d) SMART goals of global logistics and supplier
management (SMART stands for Specific,
Measurable, Achievable, Relevant, and
Time-bound)
(e) Approaches for supplier selection in global
sustainable procurement strategy
(f) Knowledge management for services
innovation in global logistics management
through tacit knowledge capturing from supply
chain echelons
(g) Multi-layered visibility into supply networking
for global commissioning projects with the help of
update snapshots from PM databases
(h) Ecological uncertainty challenges in highly
congested oceanic lanes in global supply chains
and their effects on operational performance and
integration (special studies may be conducted on
the ecological challenges related to Malacca and
Singapore straits)
(i) Collaborative global business intelligence using
cloud-based data warehousing for measuring
multi-echelon logistics performance
(j) Remanufacturing through global reverse
supply chain of recyclable scraps (specific focus
on scrap exports by massive dismantling services;
like ship dismantling for extracting massive
inventories of recyclable iron and steel)
(k) System dynamics modeling and control
systems comprising global supplier networking
supplying through trade exchanges
(l) Global supplier evaluation and strategic
supplier engagements using multi-criteria
decision-making on triple bottomline
sustainability
(m) Standards for monitoring and governance of
suppliers based on measurement of trust and
reliability factors
(n) Multisite aggregation planning of production
facilities for ensuring supplies during uncertainty
and turbulence in global supply chains (you may
like to study aggregation planning of multiple
production facilities for essential medicines and
healthcare products supply)
(o) Forecasting techniques and judgmental
adjustments based on scenario analysis in global
supply chains
(p) Study of global supply chains of international
restaurant chains (example, you may study how
McDonald and KFC are able to maintain standard
menus and tastes across the world)

We will be happy to assist you in developing your
narrow research topic with an original
contribution based on the research context,
research problem, and the research aim, and
objectives. Further, We also offer you to develop
the "problem description and statement", "aim,
objectives, research questions", "design of
methodology and methods", and "15 to 25 most
relevant citations per topic" for three topics of
your choice of research areas at a nominal fee.
Such a synopsis shall help you in focussing,
critically thinking, discussing with your
reviewer, and developing your research
proposal. To avail this service, Please Click Here
for more details.

(J) E-Supply Chains: E-Supply Chains are linked
with E-Businesses that use Internet as their
medium for accepting orders and payments, and
then using the physical channels to deliver the
products. E-supply chain is an excellent example
of pull strategy and short term demand
forecasting. Information flow across the supply
chain is instantaneous because both end points
and the intermediate agents work through a
single Internet enabled portal. E-Bay and Amazon
are viewed as the two most successful companies
using this concept at global scales with built-in
electronic contract signing and management,
electronic payment processing, and electronic
delivery processing. The students can find various
case studies on E-Supply chains, although the
empirical theories are still evolving. The research
studies would be quite challenging, modern and
unique as the field is still evolving. A sample of
possible research topics in this area is presented
below. In addition to the following sample topics,
please contact us at consulting@eproindia.com or
consulting@eproindia.net to get more topic
suggestions and to discuss your topic.

(a) A study of the structural design of an E-supply
chain for fast moving consumer goods (FMCG)
(b) A study of multi-agent e-supply chain
integration using an approach of market-oriented
strategic business partnerships
(c) Integrating manufacturing SMEs through
e-supply chains using multi-agency cloud-based
information systems with workflows for
collaboration
(d) Integrating multi-agency RFID/QR/IIoT
databases through cloud-based E-supply chain
(e) Designing a multi-layer collaborative e-supply
chain for business-to-business engagements
(f) Electronic contracts management in framework
agreements through e-supply chain management
(g) Fostering collaboration tools of e-supply chains
for inter-organisational learning, knowledge
sharing, and adaptation to business standards
(h) Impact of ubiquitous computing through
mobile cloud computing on e-supply chain
process efficiency and effectiveness
(i) Global supply chain integration with mesh
structures using latest HTML 5 (Web 2.0)
technologies
(j) Designing an e-supply chain on service
oriented architectures using cloud computing for
multi-organisational logistics applications
integration
(k) Introducing dynamic negotiations and
decision-making in e-supply chains using
agent-based coordination and scheduling for
dealing with uncertainties
(l) Collaborative transportation networking
through e-supply chains on cloud computing
(m) A study of carbon trading exchanges among
multiple collaborative partners in e-supply
networking
(n) Assemble-to-order and build-to-order
fulfilment effectiveness through electronic
decision support in e-supply chains
(o) Critical success factors of multi-agency
knowledge transfer and management in an
e-supply chain framework
(p) Integrating forward and reverse supply chains
for re-engineering applications using an e-logistics
framework
(q) Factors enabling and barriers opposing
multi-supplier highly competitive e-supply chains
through e-commerce portals in developing
nations (this study may involve investigation into
the challenges faced by Amazon, e-Bay, Snapdeal,
etc. in developing nations and the possible
solutions)
(r) Assessing value-creation opportunities in
multi-supplier framework agreements through
e-supply chain in regional trade agreements of
developing countries
(s) Assessing customisations in advanced
planning and control strategies in e-supply chain
management
(t) Redesign of business processes and business
intelligence in logistics functions for adopting
e-supply chain management
(u) Value-creation for achieving triple bottom-line
(environmental, economical, and social)
sustainability objectives through e-supply chain
management
(v) A system dynamics simulations study of
designing multi-echelon e-supply chains using
smart and dynamic agents and graph theory for
establishing and operating multi-agency
partnerships
(w) Integrating e-marketplaces and e-supply
chains for establishing an e-demand chain
management framework
(x) Integrating MRP II and production planning
schedules of multiple small production agents for
make-to-order and assemble-to-order fulfilment
of large-scale orders in an e-demand chain
management framework
(y) Integrating R&D, design, and production
planning schedules of multiple small production
agents for engineer-to-order fulfilment of
large-scale strategic demands in an e-demand
chain management framework (this topic may
involve study of strategic design and engineering
agreements of multiple companies for creating
sophisticated engineering machinery)
(z) Recycling and re-engineering e-supply chains
combining forward and reverse logistics for triple
bottom-line (environmental, economical, and
social) sustainability in developing economies

Logistics and Supply Chain Management is
undergoing a wave of digital transformations
worldwide. In this context, we have presented
latest topics on Industry 4.0, Industrial Internet
of Things, Big Data Analytics, and Artificial
Intelligence in the context of Logistics, Supply
Chain Management, Inventory Management,
and Manufacturing.

(K) Supply Chain Risk Management: Supply
chain risk management is gaining immense
popularity due to globalization of competitive
landscapes, and
growing threats and uncertainty. Risk
management in supply chains is directly linked
with supply chain agility and hence it needs to be
done in very
organized and objective manner, incorporating
quantitative models. Supply chain risk
management is a novel dissertation/thesis
research area based on the known and teething
current problems in logistics/supply chain
management. The root of the problems lie
somewhere in the uncertainties in upstream as
well as downstream flows of materials, funds, and
information. For example, if there are errors in
calculating economic order quantities (EOQ) and
reorder levels, the ordering process may not
synchronize well with the lead-times. On the
other hand, the lead-times are uncertain due to
various delay factors and fluctuation in costs if a
transportation mode is changed. Holding
inventory is the safest haven for logistics
managers, but I am sure the top management of
any organisation will never like it. The primary
purpose of this subject matter is to keep lowest
possible inventories while ensuring consistent,
timely, and accurate supplies to the end users.
The challenges are in the following areas:

(a) Lack of integration / synchronization /
co-ordination
(b) Lack of appropriate quantitative models
(c) Lack of integrated information availability,
even if the quantitative models are in place (i.e.,
the company has invested in SCM software tools)

The solution is somewhere in implementing an
appropriate supply chain risk communication
system. You will appreciate, supply chain risk is
also a floating entity just like materials, funds and
information. If the entire chain is integrated
through an extranet portal system, and updates of
every consignment code are uploaded
periodically by all agents connected with the
portal, there can be proactive risks generated by
the software for the logistics managers such that
they can take operating level, tactical level, and
even strategic level mitigation actions. Although
such a system is still in its conceptual stage,
academic researchers can contribute to its overall
conceptualisation and design. It may be
integrated as a layer above the traditional SCM
software. An agent sensing any variations in
delay or cost may log a threat and its probability
against a consignment code. The probability and
impact levels may be fed to the logistics agents
that can calculate the impact (like stock-out by a
date). The outcome will be a risk value which will
be escalated to an appropriate authority level, and
appropriate mitigation action will be suggested.
For example, if there is a temporary unrest in a
country, the current consignments can be airlifted
and subsequent orders placed to an alternate
supplier.

I suggest that you may like to study the source of
supply chain risks in a selected sample of
transactions in your field and design a novel
SCRC (supply chain risk communication)
framework employing the ISO 31000, M-o-R,
COSO, COBIT v5, and similar Enterprise Risk
Management (ERM) frameworks for
enterprise wide estimation and communication of
risks (please visit our articles on IT governance
and Information Risk Management). The key risks
that you can target in your SCRM framework can
be categorized as: disruptions, delays, forecast
errors, procurement risks, supplier risks, lead time
risks, receivable risks, capacity risks and
inventory risks. You may collect a list of known
supply chain threats in your area of interest,
categorize them under one of these risk
categories, judge the impact on business, judge
the vulnerabilities, and arrive at the risk values
using the quantitative formulations of the chosen
model. Once the risk values are calculated, you
may propose mitigation strategies pertaining to
redundant suppliers, better supplier relationships
(i.e., eliminating procurement hops), alternate
routes (i.e., alternate loading/unloading ports and
links), add capacity and inventory, shift
warehouses, change distribution model (direct
shipments, cyclic shipments, milk run shipments,
in-transit merging, adding retail stores, cross-dock
distribution, etc.), change transportation media,
etc. You may validate the proposed SCRC
framework by interviewing supply chain experts
in your country. Hence, the problem statement of
your thesis will be related to the known threats
and vulnerabilities in supply chain management
in the selected transactions (chosen by you), and
the solution will be a novel Supply Chain risk
communication framework to manage the risks
resulting from these threats and vulnerabilities. It
will be a quantitative research with descriptive
and inferential statistical analysis. The outcome of
this model will be on-the-fly alerts on risk levels
and their mitigation as soon as a risk is logged
(you will need to define mitigation actions against
various risk levels, and the suggested authorities
to make decisions). You may like to validate your
model by surveying experts in your network. A
short, and to-the-point structured questionnaire
may be used such that you can present validity
and reliability analysis using SPSS. A large
number of industry-specific studies are possible in
this study approach and every researcher may
come forward with a unique supply chain risk
management model for a specific industry in a
specific country and its location.

Topic development in the area of triple
bottomline (economic, environmental, and social)
sustainability, lean, and six sigma in supply chain
management is presented in an extension of this
article (please click here).

Please contact us at consulting@eproindia.com or
consulting@eproindia.net to get more topic
suggestions and to discuss your topic. We will be
happy to assist you in developing your narrow
research topic with an original contribution based
on the research context, research problem, and the
research aim, and objectives. Further, We also
offer you to develop the "problem description
and statement", "aim, objectives, research
questions", "design of methodology and
methods", and "15 to 25 most relevant citations
per topic" for three topics of your choice of
research areas at a nominal fee. Such a synopsis
shall help you in focussing, critically thinking,
discussing with your reviewer, and developing
your research proposal. To avail this service,
Please Click Here for more details.

(L) Information Technology in Supply Chain
Management: A number of information
technology platforms are popular in supply chain
management. Some of the key IT tools in supply
chain management are IBM Supply Chain
Simulator, Rhythm (by i2 Technologies),
Advanced Planner and Optimizer by SAP,
Manugistics, Matrix One, Oracle Supply Chain
Management, etc. These tools possess various
functionalities - like, enterprise planning, demand
planning, production scheduling, distribution
planning, procurement and replenishment
planning, facilities location planning,
replenishment planning, manufacturing planning,
logistics strategy formulation, stocking levels
planning, lead times planning, process costing,
customer service planning, procurement, supply
and transportation scheduling, global logistics
management, constraint-Based master planning,
demand management, material planning, network
Design and optimization, supply chain analytics,
transportation management, Vendor Managed
Inventory (VMI) planning, continuous
replenishment planning (CRP), and many more.
The students may like to study about various IT
systems and software tools for carrying out such
activities in supply chain management. The
studies may be primarily qualitative or
triangulated. Your focus should be on application
design and integration, system features that are
practically useful in supply chain operations,
decision-making and decision-supporting tools
(like, dashboards, supply chain intelligence,
supply chain performance monitoring, etc.),
on-line analytical processing, collection, storage,
and integration of information, sharing and
dissemination of information, internal and
external integration, process design, mapping,
and integration, enterprise resources planning
and IT enablement of global best practices (like,
quick response, supply chain synchronisation,
virtual supply chain, efficient customer response,
collaborative planning, forecasting, and
replenishment, etc.). A sample of possible
research topics in this area is presented below. In
addition to the following sample topics, please
contact us at consulting@eproindia.com or
consulting@eproindia.net to get more topic
suggestions and to discuss your topic.

(a) Data engineering and management science,
and predictive data analytics and big data
analytics for achieving supply chain management
effectiveness and efficiency
(b) A study of logistics workflows and
information systems using integrated RFID / QR
/ IIoT databases capturing inputs from data entry
points in all the echelons of a supply chain
(c) Information Technology tools and applications
for operating the third and fourth party logisics
(3PL and 4PL) systems
(d) Operating and managing a cellular
manufacturing system using location-aware 3D
graphics mapping with the plant layout
(e) Integrated system of systems with risks,
configuration, business, performance, and security
policy (RCBPS) management for designing an
enterprise-wide logistics resources planning
system
(f) Logistics engineering with ubiquitous access
using mobile cloud computing
(g) Supply chain collaborations and cooperation
through social media communication tools
(h) A study of system design and applications
using Internet of Things in Logistics engineering
(i) A study of designing and implementing
environmental information analysis and decision
support in supply chain information systems
(j) Modeling information diffusion in the logistics
network of a multi-echelon supply chain
(k) Modeling information flow between
warehouse management system (WMS) and
transportation management system (TMS)
(l) Modeling information flow in a multi-echelon
supply chain operating in an unpredictable and
volatile environment
(m) Integrating RFID/IIoT systems with web
services architecture for inventory control in an
e-logistics system
(n) Wireless vehicular area networking (VAN) for
operating and managing an intelligent
transportation infrastructure under multi-modal
logistics
(o) Location-aware transportation infrastructure
for routing decision-making in an integrated
manufacturing city comprising small and medium
manufacturing enterprises
(p) Integrating information flow of forward and
reverse logistics systems in a virtual
manufacturing framework
(q) Real-time locating and monitoring of
work-in-progress inventories stored in job shops'
buffers using RFID/IIoT sensors communicating
with an integrated WiFi network in a
manufacturing plant
(r) Using RFID/IIoT system for storage and
retrieval of containers in a large warehousing
using a container management system application
(s) Enhancing multi-party horizontal collaboration
using public cloud computing in an international
logistics network
(t) Map-based transportation information system
with GIS and GPS for managing container
movement on an inter-city motorway network
(u) GIS and GPS applications in a logistics
information system with 3D plant layout for
managing internal materials movement in the
plant campus
(v) Indoor GPS application for managing
materials movement in a large warehouse

Logistics and Supply Chain Management is
undergoing a wave of digital transformations
worldwide. In this context, we have presented
latest topics on Industry 4.0, Industrial Internet
of Things, Big Data Analytics, and Artificial
Intelligence in the context of Logistics, Supply
Chain Management, Inventory Management,
and Manufacturing.

(M) Radio Frequency Identification (RFID) and
Industrial Internet of Things (IIoT) in Supply
Chain Management and Value Chain
Management: RFID/IIoT may be viewed from
two perspectives: (a) a highly innovative
technology for location-based services, and (b) a
tool for achieving process excellence in industrial
engineering, supply chain management, vehicle
tracking, asset management, government services,
and many other applications. I hereby suggest you
some topics in which, both the perspectives are
integrated. Especially in the field of value chain
management, many studies are emerging on the
relationships between technology excellence
variables and process excellence variables. Let us
visualize the variables of the two sides:

RFID/IIoT Technology:

(a) Cost effectiveness
(b) Distributed information tagging (information
attached with assets)
(c) Asset owner identification
(d) Information sharing accuracy
(e) Real time information sharing
(f) Ubiquitous coverage
(g) Location identification (both outdoor and
indoor positioning of assets)
(h) Connectionless
(i) Integration with cloud-based information
systems
(j) Integration with industrial sensors / control
systems
(k) Assets security (against thefts and sabotage)
(l) Rapid incident response
(m) Integration with environmental sensors (like,
continuous emissions and contamination
reporting)
(n) RFID/IIoT technology and Internet enabling
(for communications and information sharing
over the Internet)
(o) Rapid scalability
(p) Rapid commissioning and decommissioning

Value Chain process excellence:

(a) Multi-echelon information sharing
(b) Strategic supplier relationships
(c) Strategic customer relationships
(d) Automation of processes and tasks
(e) Multi-echelon collaborations
(f) Real-time information sharing
(g) Quality excellence
(h) Elimination of wastes (eliminating processes
and tasks that do not add value)
(i) Elimination of defects and errors (quality
excellence)
(j) Multi-skilled employees
(k) Cellular production systems
(l) Lean consumption of resources
(m) Agility in demand fulfillment
(n) Flexible assembly systems
(o) Demand pull strategy
(p) Just-in-time inventory management
(q) Real-time communications

There may be many more variables that we can
add in these two lists. In addition, we can also
add sub-variables (or latent variables to each of
them). If you observe, each of these areas demand
a separate study, which may incorporate
explorations of designs, relationship building, and
simulations. Such designs can be implemented in
modeling software (like, OPNET Modeler). We
have completed multiple technical studies
involving design of architectures using RFID
sensors/IIoT sensors and actuators and WiFi
networks in different application scenarios, and
simulating the key variables reflecting
performance, behavior, efficiency, effectiveness,
and problem areas. You may design your research
in two directions: Technical architecture and
designs with the help of significant levels of
system reviews, product reviews, design reviews
and their detailing, and quantitative studies for
exploring relationships between RFID/IIoT
variables and process excellence variables in
supply chain / value chain management. We will
be happy to assist you in developing your narrow
research topic with an original contribution based
on the research context, research problem, and the
research aim, and objectives. Further, We also
offer you to develop the "problem description
and statement", "aim, objectives, research
questions", "design of methodology and
methods", and "15 to 25 most relevant citations
per topic" for three topics of your choice of
research areas at a nominal fee. Such a synopsis
shall help you in focussing, critically thinking,
discussing with your reviewer, and developing
your research proposal. To avail this service,
Please Click Here for more details.

Logistics and Supply Chain Management is
undergoing a wave of digital transformations
worldwide. In this context, we have presented
latest topics on Industry 4.0, Industrial Internet
of Things, Big Data Analytics, and Artificial
Intelligence in the context of Logistics, Supply
Chain Management, Inventory Management,
and Manufacturing.

(N) Cloud Computing in Supply Chain
Management: Cloud computing is a new ICT
research paradigm of services-oriented computing
in which, infrastructure, platforms, applications,
security, databases, communications, and security
are offered as on-demand services by cloud
service providers through virtualisation and
orchstration of computing, networking, and
storage facilities deployed through massive
parallel computing of hundreds of thousands of
hardware systems connected in arrays. Please
visit this link for learning more about cloud
computing research topics. Recently, multiple
studies have been conducted on the role and
value of cloud computing in supply chain
management. Researchers have related
effectiveness of information systems integration,
process intergration, collaboration, coordination,
communications, information sharing,
information availability, strategic supplier
relationships, operations performance, lean
operations, just-in-time operations, elimination of
dysfunctional phenomena (like, bullwhip effect,
beer gaming, and order rationing), and
sustainability of supply chain management with
the characterstic variables of cloud computing,
such as real-time communications, multi-platform
and multi-vendor integration, ubiquitous access,
multinational systems, low costs of business
operations dependent upon ICT, low capital
investments, platform independence, high
security through virtual clouds and their
boundaries, high scalability, high availability,
high uptime, high performance, exchange of
services, multi-tenancy, ease of deployment, and
many more. Integration of RFID information
databases and control of shifting, movement, and
storage of assets through RFID integration with
cloud computing are latest innovations enhancing
the efficiency of supply chain operations. Cloud
computing has also facilitated effective
integration of Internet of things in which, assets
and their groups can be directly controlled
through semi-automated control panels and
automated algorithm-driven intelligence for
identifying, tracking, moving, and controlling of
millions of assets stored by thousands of suppliers
across the world.

Cloud computing has helped in evolving some
new forms of systems in supply chain
management. For example, cloud computing has
eliminated the need for manual electronic data
interchange between the suppliers' echelons and
the manufacturers' echelons. With the advent of
cloud computing, suppliers and manufacturers
can share cloud-based application systems with
real-time processes' and databases' integration.
Collaborative operations like vendor-managed
inventory, upstream flow of consumption patterns
and demand information, and collaborative
replenishment of inventory are managed more
effectively through cloud computing. New forms
of framework agreements between a pool of
strategic suppliers and a pool of buyers, real-time
bidding and order closures, real-time auctions,
real-time tracking of inventory status of multiple
suppliers, and real-time display of prices offered
by multiple suppliers have emerged with the
advent of cloud-based exchanges. The current
models of trading exchanges like Amazon,
Snapdeal, and eBay and payment exchanges like
PayPal, PayTM, and Skrill use the cloud
exchange-based framework agreements between
supplier and buyers that ensure protection of
either sides irrespective of their locations
anywhere in the world. Cloud computing has also
helped in evolution of virtual marketplaces, virtul
retail, and virtual shopping malls.

You may like to know the difference between an
e-supply chain and a cloud-based supply chain.
E-supply chain is a larger concept that can be
implemented on multiple platforms. Cloud supply
chain is one of the platforms of e-supply chains. It
requires separate study because of its rapidly
growing popularity and adoption worldwide. In
addition, cloud-based e-supply chains are much
more complex than an e-supply chain
implemented on traditional Internet-enabled
platforms (like, self-hosted web services servers).
For example, cloud-based e-supply chains are
multi-layered with multiple service-oriented
architectures stacked one above another. In cloud
computing, some of the popular service models
are Infrastructure-as-a-Service (IaaS),
Platform-as-a-Service (PaaS),
Software-as-a-Service (SaaS),
Database-as-a-Service (DaaS), and
Security-as-a-Service (SaaS). Service oriented
architectures employ virtualisation and Web 2.0
(HTML 5 and XML-based) technologies. Hence,
while the topics suggested above are related to
the general framework of e-supply chains, the
topics suggested in this section are related to
design, implementation, and operations of
e-supply chains using cloud computing
technologies only. The topics suggested here will
involve more technical studies than the ones
suggested under the section of e-supply chains.
You are invided to study our page on modern IT
systems topics with cloud computing as one of
modern IT systems. Please click here for accessing
this page.

The topics pertaining to cloud computing in
supply chain management may comprise
quantitative study of relationships between the
variables at the either sides or exploratory studies
on new business models and their designs
emerging from cloud-based supply chain
management. The studies shall involve
qualitative methods like interviews, focus group
discussions, action research, organisational
ethnography, phenomenology, and grounded
theory, and quantitative methods like inferential
statistical analysis, multivariate statistical
modeling, simulations, system dynamics
modeling, and Taguchi's method. The key tools
recommended are Ishikawa diagrams,
observation flow charts, mapping charts for
analysing interviews, qualitative data analysis
(identifying, cleaning, categorising, classification,
encoding, comparing, and contrasting), SPSS,
LISREL, ARENA, VENSIM, OPNET, and
TAGUCHI's templates. A sample of possible
research topics in this area is presented below. In
addition to the following sample topics, please
contact us at consulting@eproindia.com or
consulting@eproindia.net to get more topic
suggestions and to discuss your topic.

(a) Service-orientation of manufacturing on cloud
computing with distributed manufacturing agents
(b) Cloud-based big data analysis for demand and
supplies predictions
(c) Workflow modeling for logistics engineering
on cloud-based HTML 5.0 and XML-based
applications
(d) Advanced parsing systems for populating
cloud-based databases from logistics workflows
and collaboration systems
(e) The emerging concept of
manufacturing-as-a-service on cloud computing
for producing customised products
(f) Mass customisations through collaborative
manufacturing networks on cloud computing
(g) Cloud-based logistics design for enhanced
process information and risks visibility
(h) The emerging concept of cloud of things for
enhanced intelligence, controls, and management
of integrated supply chains
(i) Taking RFID and Internet of Things to the next
level through cloud-based sensors portfolio
management and information fusion
(j) Intelligent decision-making through
cloud-based analytics in a cluster of logistics
services by spare parts manufacturers
(k) Logistics software-as-a-service for integrating
Internet of Things for enhanced manufacturing
resources capability
(l) Modeling and simulations of a cloud-based
inventory replenishment workflow in OPNET's
custom process design module
(m) Cloud-based decision-support architecture for
monitoring, scheduling, and controlling
production tasks in a distributed manufacturing
architecture
(n) Smart cloud-based manufacturing architecture
with real-time synchronisation of production
logistics using Internet of Things
(o) Securing a network of Internet of Things in a
cloud manufacturing system
(p) Designing a virtual enterprise of
manufacturers using cloud-based logistics and
production scheduling processes
(q) Sharing of logistics assets and logistics services
in a manufacturing hub enabled with Internet of
Things on cloud computing
(r) Cloud-based service-oriented heterogenous
logistics and transportation management for
collaborative business networking
(s) The changing paradigm of supply chain agility
with the development of cloud manufacturing
systems
(t) A study of changes in cloud-based
manufacturing systems as compared with
traditional manufacturing systems
(u) Integrated supply chain operations
management for service-oriented manufacturing
on cloud computing
(v) Cloud-based remanufacturing planning and
scheduling in a forward-reverse logistics
framework on cloud computing
(w) Faceted and Semantic search protocols on
integrated data collected from Internet of Things
associated with collaborative logistics processes
(x) Energy-aware smart manufacuring systems
built using Internet of Things integrated through
cloud computing
(y) A taxonomy of Platform-as-a-Service (PaaS)
and Infrastructure-as-a-Service (IaaS) components
for Internet of Things-based manufacturing
(z) Virtualisation with web services infrastructure
for cloud-based supply chain management
(aa) Real-time adaptive planning,
decision-making, and control in transportation
and distribution logistics under demand
uncertainties using cloud-based open source
requirements planning application
(ab) Ubiquitous cloud computing and
event-driven decision-making in collaborative
supply chain operations conducted through
cloud-based logistics information systems
(ac) A study of enterprise wide open source
applications and their modules for cloud-based
enterprise architectures
(ad) Cloud-based order fulfilment and its effect
on e-business performance of small-scale retailers
(topic designed for studying the Amazon Prime
framework of small and high quality retailers
using fulfilment through Amazon)
(ae) Virtual office systems for supply chain
managers with ubiquitous access through mobile
smartphones for making logistics decisions
(af) Collaboration agents and their collaboration
modeling on cloud-based enterprise process
integration framework for interlinking distributed
multi-country manufacturing facilities
(ag) Supply and demand visibility through
cloud-based integration and analysis of data
collected from transaction entry points
(ah) Design of cloud-based OLAP dashboards and
business objects application supported by XML
data files exported from distributed supplier
databases maintained within secured virtual
clouds of supplier companies
(ai) Collaborative supply chain risk management
using information shared through cloud-based
registries and risk views
(aj) A study of challenges, opportunities, threats,
and success stories of cloud-based e-supply chain
management
(ak) Optimising production logistics and
distribution through cloud-based supply chain
observers and controllers connected with
electronic markets' transaction processing systems
(al) Cloud-based IT governance framework based
on COBIT 5.0 for e-logistics and e-supply chain
business governance
(am) A study of design and operation of a grid of
machines with Internet of Things technology
integrated through cloud-based production
control applications using XML data files and
SOAP transactions
(an) Supplier performance measurement,
monitoring, and control through cloud-based
logistics intelligence
(ao) Order tracking and decision-making using
cloud-based intelligence of production updates
from consumer products manufacturing
companies integrated by OEM-driven networked
manufacturing
(ap) Integrated research and development by a
network of innovative startup businesses through
cloud-based R&D function

Logistics and Supply Chain Management is
undergoing a wave of digital transformations
worldwide. In this context, we have presented
latest topics on Industry 4.0, Industrial Internet
of Things, Big Data Analytics, and Artificial
Intelligence in the context of Logistics, Supply
Chain Management, Inventory Management,
and Manufacturing.
Other possible proposed research areas are the
following:

(O) Lean and Six-Sigma in Supply Chain
Management
(P) Sustainabile Supply Chain Management
(Q) Sustainable Procurement
(R) Sustainable Transportation
(S) Reverse Logistics and Supply Chains for
Remanufacturing
(T) Cloud Manufacturing
(U) Internet Of Things in Supply Chain
Management
(V) Logistics, Supply Networking, and
Inventory Management in Industry 4.0
(W) Internationally Co-ordinated Production,
Logistics, and Supply Chain Management
(X) Big Data Analytics in Supply Chain
Management
(Y) Artificial Intelligence in Logistics and
Supply Chain Management
(Z) Blockchain in Supply Chain Management

We will be happy to assist you in developing your
narrow research topic with an original
contribution based on the research context,
research problem, and the research aim, and
objectives. Further, We also offer you to develop
the "problem description and statement", "aim,
objectives, research questions", "design of
methodology and methods", and "15 to 25 most
relevant citations per topic" for three topics of
your choice of research areas at a nominal fee.
Such a synopsis shall help you in focussing,
critically thinking, discussing with your
reviewer, and developing your research
proposal. To avail this service, Please Click Here
for more details.

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