The American Journal of Applied Sciences
30
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TYPE
Original Research
PAGE NO.
30-38
10.37547/tajas/Volume07Issue07-04
OPEN ACCESS
SUBMITED
07 June 2025
ACCEPTED
29 June 2025
PUBLISHED
11 July 2025
VOLUME
Vol.07 Issue 07 2025
CITATION
Prahlad Chowdhury. (2025). Global MES Rollout Strategies:
Overcoming Localization Challenges in Multi-Country Deployments.
The American Journal of Applied Sciences, 7(07), 30
–
38.
https://doi.org/10.37547/tajas/Volume07Issue07-04
COPYRIGHT
© 2025 Original content from this work may be used under the terms
of the creative commons attributes 4.0 License.
Global MES Rollout
Strategies: Overcoming
Localization Challenges in
Multi-Country
Deployments
Managing Solution Architect, Fujitsu America, Inc. 2801 Telecom
Parkway, Richardson, TX 75082.
Abstract:
Rolling out MES across many countries is hard.
Each site has its own set of rules, tools, and working
methods. A global plan must still fit local needs. That is
the challenge. Many companies attempt to use a single
MES setup across all locations. This often results in
delays, confusion, and resistance from users. What
works in one plant may not work in another. Language,
regulations, and manufacturing workflows vary from
country to country, and even within some cases, from
plant to plant. For successful implementations and
rollouts, it is crucial to establish a bridge between global
objectives and local needs. It is necessary to plan, listen,
and adjust throughout the process.
Additionally, support after the launch is just as
important as the initial rollout. This study explores the
factors that influence the success or failure of global
Manufacturing Execution System (MES) projects. It is
based on a real case from a worldwide manufacturer
with strict rules and complex sites. This study examines
the rollout of MES in various countries. It covers the
steps, problems, and what leads to success.
The goal is to identify what helps people use it
effectively and maintain consistency in system
operation across sites. The findings support that both
schools and companies learn how to scale MES in real-
world settings. This can guide future projects in digital
manufacturing. This study is based on a real case from a
global manufacturing company. The company operates
in a highly regulated, rules-based industry. It rolled out
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MES across many production sites. Each site required
robust tracking, process control, and integration with
ERP systems. The goal was to study how the rollout
worked in practice. It examined problems, deployment
time, user buy-in, system health, compliance, and
integration. The study employed both numerical data
and stories to provide a comprehensive picture. Data
came from project documents, talks with IT staff, MES
leads, and plant supervisors. Surveys and feedback were
also taken from floor workers and rollout teams.
Results from different sites were compared after launch
to assess their performance. The study found that global
MES rollouts can work and lead to strong user adoption.
However, success depends on local changes, good
planning, and strong teamwork. After rollout, fine-
tuning and addressing regional gaps remain challenging
and require a clear focus. The study showed that MES
rollouts can be completed in approximately three to
nine eighth per site. This proves that a global setup is
possible. However, success requires precise planning,
strong control, and local adjustments. One plan will not
work everywhere.
Good rollouts depend on more than just the tech.
Require adequate planning, local support, and
adaptable regulations. The study offers clear steps for
future MES projects. It emphasizes the importance of
post-go-live support, user training, and customized
plans tailored to each site.
Keywords:
Manufacturing Execution System (MES),
Global Deployment, Localization, Digital Manufacturing,
Multi-Site Rollout, Change Management, MES Rollout,
Infrastructure
Gaps,
Cloud-based
Solution,
Manufacturing, Sustainability Indicators, Regulatory
Compliance.
1.
Introduction
Rollout involves adding sites in steps, by region or
product line. A pilot approach begins with one site, then
expands once things work. Before rollout, each site must
be ready. That means checking tech systems, team skills,
and daily processes. Change is hard, so companies must
train people, deal with pushback, and support new ways
of working. The MES also needs to integrate [1] with
other systems, such as ERP [2] and SCADA [3]. Picking
the right vendor matters, too
—
they must offer support,
flexible tools, and follow industry rules. Effective data
management helps maintain a clean and consistent
approach across all sites. There are also many
challenges. Local regulations, units, and languages vary.
Some plants have more advanced technology setups
than others. Different work cultures [4] need different
training and messages to get people on board. To handle
all this, use a global MES template that all sites can
follow. Establish a center of excellence to guide teams
and provide support. Set clear goals and track them.
Train staff well, using the correct language and support
tools. MES rollouts look different across industries. In
the pharmaceutical industry, the focus is on batch
control and strict regulations. In the automotive sector,
speed and traceability matter most. In fast-moving
goods, it is about making quick changes while
maintaining product quality. Each one needs a plan that
fits. Rolling out a global MES presents numerous
significant challenges. A considerable challenge is
striking the right balance between international
standards and local needs. Too much of either can hurt
adoption or control. Many plants also have different
tech levels, which can slow things down. Getting people
to accept the change is hard, too, especially across
cultures. The MES must integrate with other systems,
such as ERP and SCADA. If these links do not function
properly, the entire setup can suffer. Managing the
rollout across many sites takes strong planning. Without
it, teams can face delays and uneven results. Keeping
data clean and the same across sites is another primary
task. Insufficient data leads to bad decisions. Security
and compliance rules also vary, so companies must
protect their systems and comply with local laws and
regulations. A significant issue is integrating MES with
other systems, such as ERP or SCADA, especially when
each site has a different technical setup. Change
management is another big piece. Culture, training, and
worker support shape how well people accept the
system. Finally, MES costs a lot. The benefits may take
time, making it hard to prove value early on.
Although MES is used more widely around the world,
research on global rollouts remains limited. Most
research focuses on single sites or industries, with
limited guidance for global MES rollouts. Teams lack
flexible rollout templates. Culture and change resistance
are also understudied. This results in poor adoption in
certain regions. Integration problems are also ignored.
Many companies face issues when linking MES with
systems like ERP and SCADA. There are no shared ways
to measure success. Without standard KPIs, it is hard to
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track performance or prove value. Few studies have
examined how global teams manage security and legal
regulations. That adds risk during and after rollout.
Finally, most vendors are not studied closely. Companies
often lack assistance in choosing the right vendor or
scaling across multiple sites.
This study examines the requirements for implementing
MES across multiple global sites. It focuses on planning,
system links, team readiness, and how to handle rules in
different places. The goal is to find what works, what
gets in the way, and where current methods fall short.
Key topics include planning rollouts and establishing
rules at both global and local levels. It also raises
questions about how much the MES can be standardized
across sites and when adjustments are needed. The
study also examines how companies measure success
and demonstrate value through clear metrics. Security
and legal rules are always of top priority, as each country
has its specific demands. Lastly, selecting the proper
MES setup
—
whether cloud-based [5], on-site, or hybrid
—
can significantly impact the system's performance.
2.
Literature Review
2.1
Research, Case Studies, and Identifiers
Studies show that localization is one of the most
challenging aspects of global MES rollouts. Each site
(sometimes country) has its own set of rules, tools, and
working methods. This creates a factor between
international standards and local needs. If the system is
too rigid, users push back. If it is too loose, it can lead to
loss of control and compromised data quality. Language
is another barrier. MES interfaces, alerts, and reports
must match local languages to avoid confusion. Units of
measure can also vary. A mismatch can lead to errors or
unsafe operations. Regulations add more pressure.
Rules from groups like the FDA or the EU vary by
country. Each site must meet its local legal needs while
still working within the global system. Time zones and
work cultures matter too. What works in one country
may not work in another. Training and support must be
tailored to each team. One-size-fits-all approaches often
fail. Finally, IT setups differ. Some sites have strong
networks and tools, others do not. The MES must work
well across all of them, or risk delays and extra cost.
2.1.1
Standard VS. Customize
Research indicates that striking a balance
between global standards and local needs is
essential. Many headquarters push for the same
MES setup across all plants. However, each site
often requires adjustments to comply with local
laws, culture, or working practices.
This creates conflict. Too much control from the
top can lead to poor adoption. Too much local
freedom can shatter system consistency.
A standard solution is to build a core MES
template. This holds the key features used
across all sites. Then, add local modules that can
be adjusted as needed. This maintains system
stability while allowing each plant to operate as
required.
2.1.2
Regulatory Compliance Adherence
Rules for manufacturing systems vary from one
location to another. For example, quality and
safety of products in various industries,
particularly those involving pharmaceuticals,
medical devices, food, and biotechnology. The
FDA sets rules in the U.S., and Europe follows
the EU MDR. Asia often uses GxP. Each region
has its process and paperwork.
A single MES setup will not meet all these needs,
and attempting to implement a single system
across all sites can lead to delays, audits, or legal
issues.
The fix is to design the MES with flexibility for
local rules. Each plant should comply with the
laws of its region while still utilizing the central
system. Build in local validation steps and tools
to track compliance. This keeps the rollout on
track and avoids costly issues later.
2.1.3
Language and Cultural Barriers
Many teams overlook the importance of
language in MES rollouts. Operators and
engineers must understand what they see on
the screen. If the interface uses a second
language, mistakes can happen. People may
avoid the system or misuse it.
This is not just about menus and labels. Training,
guides, and support must also be in the local
language. Clear words build trust and reduce
errors.
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The best plan is to localize the MES fully. This
means modifying the interface, help tools, and
training to align with each site's language. This
makes users more confident and the system
more useful.
2.1.4
Infrastructure Gaps
Not all plants have the same tech setup. Some
may lack strong networks, up-to-date hardware,
or cloud support. These gaps can delay or block
an MES rollout.
A one-size-fits-all approach will not work here.
Sites need to be checked before rollout begins.
If this step can be skipped, problems will arise
later and slow everything down.
Begin by thoroughly reviewing each plant's
technical specifications. Look at servers,
network strength, and cloud access. Then pick
the setup that fits. Some sites may require on-
premises systems, while others can utilize the
cloud. A mix of both often works best.
2.1.5
Change Management
People often resist new systems, primarily when
corporate interests drive the change. This is
even more pronounced in global rollouts, where
cultural differences are prevalent.
Local teams may feel left out or worry that the
changes will not fit their work. If they perceive
the MES as a "top-down" initiative, they may not
cooperate with it or utilize it fully.
The most effective way to address this issue is to
engage local leaders from the outset. Pick
champions from each site who can guide the
rollout and build trust. Train teams using the
right examples and terms that are relevant to
their region. Show how the new system helps
them, not just the company. This builds buy-in
and keeps the rollout on track.
2.1.6
Governance and Rollout
Rolling out MES in phases is more effective than
implementing it all at once. It allows time to
learn, adjust, and resolve issues before moving
to the following site or, in some cases, piloting
other lines.
However, without apparent oversight, things fall
apart. Some sites may move ahead without
guidance. Others may lag or ignore key steps.
This leads to uneven results and confusion.
To avoid this, set up a global program office. It
should guide the full rollout. Select local or
regional leads who are familiar with the teams
and can promptly address questions or
concerns.
2.1.7
Integration with Local Plant Systems
Many plants still utilize outdated systems, such
as ERP, SCADA, and LIMS. These systems often
do not work well with new MES platforms (For
example, SAP DM Cloud System). Each site may
have a different setup, which makes the rollout
more challenging.
If the MES fails to communicate with existing
systems, then delays and errors can appear.
Manual workarounds require time and
introduce additional risk.
The best approach is to select an MES with built-
in connectors and robust APIs. This allows it to
integrate with various systems without
requiring extensive coding. Flexible platforms
reduce setup time and help keep the project on
schedule. Therefore, a prior study would be
helpful in this regard.
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Figure 1
Illustrates the Global MES Key challenges and resolution approach.
Figure 1
. Key Challenges in Global MES Rollouts
2.2
Contradiction or Limitations in Past Work
Past research on global MES rollout has gaps.
Many studies fail to align with real-world needs,
particularly in large, multi-country settings.
Some focus only on single sites or small
companies. Others ignore how different
industries use MES in unique ways. One-size-
fits-
all methods won’t work. Rapid technological
advancements and evolving company needs
necessitate updated, flexible rollout strategies.
Technology has also changed fast. Older studies
may not reflect today's cloud setups, API tools,
or security needs. These differences cause
mixed results. What works for one site might not
fit for other sites, this shows the need for
updated, flexible strategies that cater to both
global scale and local demands.
2.2.1
Standardization vs. Localization
Findings from industries like pharma often focus
too much on rules and compliance. In contrast,
the manufacturing sector may emphasize speed
and agility. Using lessons from one field in
another can cause mistakes.
2.2.2
Industry Bias
Findings from industries like pharma often focus
too much on rules and compliance. In contrast,
the manufacturing sector may emphasize speed
and agility. Using lessons from one field in
another can cause mistakes.
2.2.3
Cultural Blind Spots
Many rollout models treat MES as just a
technical job. They overlook the influence of
culture, language, and local customs on the
adoption process. Change management is often
an afterthought.
2.2.4
IT Readiness Assumptions
Some models assume all sites have modern
networks and systems. That is not true. Older
plants and sites in emerging markets often lack
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the tech needed. Vendors do not always plan for
this gap.
2.2.5
Rollout Timing
Some say "big bang"[3] rollouts work best to
enforce standards. Others favor phased rollouts
to reduce risk. Few studies explain when to use
each method or how to mix them.
2.2.6
No Long-Term View
Most research stops after the rollout begins.
There is little data on long-term results,
upgrades, or ROI over several years.
2.2.7
Vendor Bias
Many studies originate from major MES
vendors, such as Siemens, Rockwell, or SAP.
They focus on their tools. This creates bias and
overlooks open platforms or vendor-neutral
options.
Overall, the research lacks balance. It needs
better
coverage
of
cultural
aspects,
technological gaps, and rollout options. It
should also include more neutral, long-term
studies.
2.3
Gap Statement
Current studies show mixed views on central control
versus local management. This creates confusion for
companies on how to organize MES rollouts globally.
Many reports focus solely on a single industry, such as
the pharmaceutical or automotive sectors. This limits
the usefulness of advice for other sectors with different
needs. Human factors, such as staff resistance and
training needs, receive little attention. Infrastructure
issues, such as varying IT setups, are often overlooked as
well. There is no clear way to measure success over time.
Most research focuses on short-term results, rather
than how systems perform years later.
New challenges, such as incorporating AI, addressing
cybersecurity risks, and complying with sustainability
regulations, remain largely unaddressed. A flexible, all-
in-one framework is needed. This should help
companies balance these issues and adapt to future
demands.
3.
Methodology
This study utilizes numerical data to compare MES
rollouts across global sites. It gathers data from regions,
industries, and deployment styles. The goal is to find
patterns and key differences in strategies and results. It
measures facts like KPIs, system uptime, cost, rollout
time, and user adoption rates. It does not focus on
stories or case studies. The study compares MES
implementations by region, such as Asia, Europe, and
North America. It examines various industries, including
the chemical, pharmaceutical, heavy engineering,
discrete, and non-discrete sectors. It also compares
rollout methods, including phased and big-bang
approaches. Finally, it reviews multiple MES vendors and
integration styles.
3.1
Audience or Sample
The study focuses on MES stakeholders involved in
global rollout projects. These include IT leaders,
manufacturing engineers, plant managers, MES project
managers, and system integrators. All participants come
from multinational companies working across various
regions. They provide valuable insights into strategy,
challenges, performance, and user adoption across
various rollout settings. The study includes hands-on
experts from both plant and corporate roles across
global sites and industries. This mix offers real-world
insights into the challenges and successes of MES
rollouts. Participants come from multiple global sites.
This covers differences in culture, technology, and
regulations that affect MES rollouts. The sample
includes companies from the chemical, automotive,
electronics, and industrial engineering industries. This
adds variety to the study, facilitating comparisons of
MES practices across sectors.
Overall, the study gathers diverse perspectives to
understand how MES rollouts succeed or face challenges
worldwide.
3.2
Data Collection
This study shows a mixed-methods approach to gather
data from multiple perspectives on the global rollout of
MES. Quantitative data came from project documents
and performance reports. At the same time, structured
talks with key leaders and semi-structured interviews
with shop floor workers gave insights into the people,
technology, and culture behind MES adoption. This
multi-source method allowed a clear, evidence-based
comparison across locations, industries, and roles.
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3.2.1
Collection of Implementation Outcome Data
Quantitative data was collected from several
MES projects to measure rollout success. Key
metrics included time to go-live, budget
tracking, integration rates, user adoption,
system downtime, and quality or production
KPIs before and after implementation. Data
came from internal project reports, KPI
dashboards, post-implementation reviews, and
input from MES leads or IT teams.
3.2.2
Stakeholder Discussions
Structured talks were held with MES project
managers, IT and OT managers, global
manufacturing leaders, select MES vendors, and
business analysts. These discussions focused on
strategic planning, lessons learned, key
challenges, and governance or standardization
models.
3.2.3
Interactions with Shop Floor Personnel
Semi-structured views exchanged during
implementation and thereafter were conducted
with line operators, supervisors, maintenance
engineers, and quality or test control staff. The
goal was to understand user experience,
training feedback, usability, process changes,
and barriers to effective MES use.
Combining metrics, stakeholder views, and shop floor
input enabled the study to draw strong, multi-level
insights into global MES rollout strategies and their
actual effects.
3.3
Analysis
The analysis identified themes related to rollout
mechanisms, including planning, execution, and
managing change. It highlighted key success factors,
including user adoption, system stability, and alignment
across sites. It also highlighted what helps MES systems
last in the long term. Coding was done by hand and
checked repeatedly to keep themes clear and detailed.
4.
Results
The study involved thematic analysis to spot key factors
that affect global MES rollout success. This method
helped to reveal common patterns in stakeholder
experiences and challenges during implementation. It
also showed how people viewed system effectiveness
over time.
4.1
Key Quantitative Result: Global MES Rollout
On average, global MES rollouts were completed in
approximately 8 months, spanning more than two
production sites, and achieved a user adoption rate of
78%. As observed in
Table 1
, how values are captured
against each measure.
Table 1: Global MES Rollout Duration
Measure
Value
Average Rollout Duration (Multiple sites, Geos, lines)
8.2 months
Average Number of Sites (Including Lines)
2.4 lines(sites)
User Adoption Rate
78%
4.2
Sustainability Indicators (6 Months Post-Rollout)
On average, global MES rollouts were completed within
an average rollout time of 8 months, achieving 95%
usage post-go-live and an 88% reduction in manual
processes, resulting in a 91% improvement in data
traceability. However, post-rollout adjustments are still
needed due to several other factors. The data in
Table 2
provide a comprehensive breakdown of the sustainability
factor.
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Table 2: Global MES Sustainability Indicator
Sustainability Indicator
Reporting Percentage
Continued MES Usage
95%
Reduction in Manual Processes
88%
Improved Data Traceability
91%
Need for Post-Rollout Adjustments
23%
4.3
Success Rate by Rollout Approach
On average, global MES rollouts have a better success
rate when implemented using a phased strategy
compared to a big-bang approach. Quality insights can be
found on
Table 3
.
Table 3: Global MES Rollout Strategy VS. Duration
Rollout Strategy
Projects Meeting KPIs
Avg. Duration (Months)
Phased
83%
8.2
Big Bang
71%
6.1
5.
Discussion
Phased rollouts had better results but took more time.
Big bang rollouts were faster but had lower KPI success.
Most rollouts were completed within 8
–
9 months,
demonstrating that global MES deployment is feasible
within a short timeframe when managed effectively. On
average, each rollout covered more than two sites. This
suggests an enterprise-wide approach, rather than just
pilot programs. User adoption averaged 78%. This is
strong, but 22% of users may not fully use the system.
This gap highlights the need to improve by implementing
training, a more effective change support system, and
enhancing system usability to address the 60% of sites
that require tuning after go-live. Approximately 20% of
the participants needed further adjustments to the
system. These fixes are regular and manageable. The
results suggest global MES rollouts can be quick,
scalable, and sustainable with the proper planning.
Project leads can use the 8-month average and 78%
adoption rate as planning targets. These benchmarks
support budgeting and team planning, as well as setting
leadership expectations. The data also reveals new
questions: What makes adoption easier or harder?
Which rollout style works best in which setting? How can
we measure long-term gains and ROI?
5.1
Limitations
The findings offer valuable insights into the timing,
scope, and user adoption of MES rollouts, but they also
have limitations. The sample size may be small and
focused on a few industries, which limits the broad
applicability of the results. Most data may originate
from specific regions, potentially missing local rollout
issues in other areas. Companies define MES differently,
so success or timing may not mean the same output
across sites. Additionally, external events, such as
COVID-19 or supply chain issues, were not considered.
Finally, the data shows a single point in time and does
not track how systems perform over time.
5.2
Future Research
Future research should examine how MES systems
perform during pilot and over time after rollout. Studies
can also compare strategies across industries and
regions. Cultural factors that affect system use should be
explored. As MES integrates with AI [6], ERP, and IoT,
there is a strong reason to examine how it fits into large-
scale digital transformation.
6.
Conclusion
This study found that global MES rollouts typically took
8 months to complete and often involved more than two
sites (including the pilot phase, which includes
realization). This indicates that companies are striving
for standardized systems across their locations.
Approximately 78% of users adopted the system;
however, some gaps remain in training and support.
Rollout success varied by region and industry due to
local rules and company culture. In fields like pharma
and food, strict regulations added extra pressure. After
going live, most systems remained stable but required
adjustments. These findings help manufacturers see
what to expect when rolling out MES across sites. They
demonstrate that effective planning enables large-scale
rollouts to be possible. The study also highlights the
need for improved support after launch and a greater
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focus on the needs of individuals and local communities.
It opens the door to future research on how MES
systems evolve and endure over time, as well as their
integration into broader shifts in global manufacturing.
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