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Manufacturing Execution System Development

A manufacturing execution system sits between the plan and the physical work, and it is judged by whether operators use it. That sounds obvious and it is routinely ignored. Systems get specified in meeting rooms by people who will never stand at a machine wearing gloves, and the result is an interface requiring nine taps to record a completed unit. Operators then keep a paper tally and enter it at shift end, which destroys the entire point of having real time data.

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Shop floor production line with machine stations feeding a real-time execution monitoring dashboard
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What Manufacturing Execution Clients Say About AgileTech

Independent reviews from Clutch and DesignRush. Every review below is shown in full and links back to its source platform so you can confirm it yourself.

5.0
Mar 2026

“The team demonstrated strong professionalism, reliability, and a proactive approach throughout the project.”

AgileTech Viet Nam developed a scalable engineering workflow system for an ICT company. The goal was to streamline internal processes, improve cross-team visibility, and enhance coordination. The system significantly improved operational efficiency by reducing manual processes and increasing transparency across teams for the client. AgileTech Viet Nam set clear milestones and provided regular updates to ensure everyone remained in sync. Their professionalism and reliability stood out.

Scalable engineering workflow system with fewer manual processes

5.0
Nov 2024

“We saw huge cost savings and optimized stock levels, so we consider AgileTech a partner in our company transformation.”

AgileTech created a working Supply Chain Management (SCM) system that has helped our supermarket chain simplify operations across inventory management, demand forecasting and logistics. They integrated our existing systems, automated inventory and logistics and gave us robust demand forecasting with AI, we saw huge cost savings and optimized stock levels. And they continued to deliver on quality post launch with regular updates and training sessions, so we consider AgileTech as a partner in our company transformation.

AI-driven demand forecasting across inventory and logistics

5.0
Jun 2025

“Their proactive communication, flexibility, and technical expertise stood out throughout the project.”

AgileTech Viet Nam used React Native to develop an iOS and Android app for a real estate platform. The team integrated the app with the client’s backend and implemented property search features. AgileTech Viet Nam’s high-quality work resulted in a 30% increase in user registrations and over 1,000 app downloads within the first month. The team delivered on time, provided regular updates, and responded to feedback. Their flexibility and proactive communication impressed the client.

30% more sign-ups and 1,000+ downloads in the first month

5.0
May 2026

“They followed a structured Agile approach with clearly defined milestones.”

AgileTech Viet Nam developed a web-based logistics management system for an automotive parts supplier. The team integrated the platform with third-party providers and built a real-time tracking dashboard. AgileTech Viet Nam’s work reduced manual processing by 55%, improved real-time shipment visibility, and increased operational efficiency across multiple departments. The team followed a structured Agile approach, communicated consistently, delivered on time, and was flexible.

Manual processing reduced by 55% with real-time shipment visibility

5.0
May 2026

“They were not just executing tasks but were genuinely invested in the product’s success.”

AgileTech Viet Nam developed an MVP for a digital solutions provider’s marketplace platform. They created the UI/UX design, developed the front- and backend, and integrated payment systems. AgileTech Viet Nam successfully launched the MVP on time, allowing the client to onboard 500 users within two months. The platform was stable with minimal issues. Moreover, the team was collaborative, flexible, quick to adapt to changing priorities, and genuinely invested in the project’s success.

MVP launched on time, 500 users onboarded within two months

5.0
May 2026

“Their ability to handle both high-level architecture and hands-on implementation is rare.”

An IT services company hired AgileTech Viet Nam to re-architect their enterprise SaaS platform. The team conducted a technical audit, designed a new architecture, migrated legacy data, and added API gateways. Thanks to AgileTech Viet Nam’s work, the client saw improvements in system scalability, platform uptime, and deployment time. The team followed the Agile methodology, communicated effectively, and was responsive to the client’s feedback. AgileTech Viet Nam helped the client make better decisions.

Improved scalability, uptime, and deployment time on an enterprise SaaS

5.0
May 2026

“Their balance between technical expertise and product thinking stood out.”

AgileTech Viet Nam developed an AI-powered analytics platform for an AI visibility and GEO solutions company. The platform featured real-time reporting dashboards and data processing pipelines. AgileTech Viet Nam’s work improved the client’s data processing efficiency and the accuracy of AI-generated insights. The platform was user-friendly and supported the client’s first large-scale deployments. AgileTech Viet Nam’s team was communicative, adaptive, and technically proficient.

Improved data-processing efficiency and AI insight accuracy

5.0
May 2026

“They were flexible in accommodating evolving business needs while still keeping the project on track.”

AgileTech Viet Nam developed a digital platform for a real estate firm. They designed the UI/UX, implemented advanced search and filtering functionalities, integrated dashboards, and automated reporting tools. The platform improved operational efficiency, business performance, lead conversion rates, and customer responsiveness. AgileTech Viet Nam implemented a well-structured project management approach, meeting timelines and responding to feedback with flexibility. Their tailored solutions stood out.

Improved efficiency, business performance, and lead conversion

5.0
Nov 2024

“The platform has greatly improved our operational efficiency, and we wholeheartedly recommend AgileTech.”

Working with AgileTech has been an amazing experience, especially when it comes to creating a personalized e-learning program for our IT services business. We were pleasantly surprised by how adaptable and scalable the platform developed by the AgileTech Team was. Their proficiency with user-friendly course administration and community participation technologies enabled us to provide a thorough instructional resource catered to our customers’ particular requirements. The platform has greatly improved our operational efficiency, and we are amazed by its capacity to manage heavy traffic with ease and offer comprehensive reporting and analytics. The platform remained successful and user-friendly because of the team’s dedication to continuous support and their quick response to criticism. For any organization looking to create innovative and reliable digital solutions, we wholeheartedly recommend AgileTech as a partner.

Personalized e-learning platform that handles heavy traffic

5.0
Nov 2024

“They used a potent tech stack including PHP, React, and AWS to guarantee perfect scalability and zero downtime.”

AgileTech provided a superb Learning Management System (LMS) that creatively and precisely addressed the intricate needs of our organization. Within a scalable, completely customizable platform, the LMS made it possible to create comprehensive courses, administer student tests, engage the community, and obtain real-time data insights. AgileTech’s modular and agile approach made sure that every component, from the user-friendly course builder to the sophisticated analytics and communication tools, was customized to meet our demands despite the difficulties of developing such a feature-rich system. In order to guarantee perfect scalability and zero downtime, even with high user concurrency, AgileTech used a potent tech stack that included PHP, React, and AWS. Their post-launch assistance, which included frequent training sessions and upgrades, gave our staff the means to fully use the LMS’s potential. This project was a testament to AgileTech’s technical skill, rapid deployment, and dedication, making them an outstanding choice for educational technology development.

Feature-rich LMS with course builder, analytics, and comms

5.0
May 2026

“Their professionalism, responsiveness, and ability to execute efficiently made them feel like an operational partner.”

AgileTech Viet Nam optimized a workflow for a consulting firm. The team improved lead management processes and streamlined internal communication systems across multiple departments. AgileTech Viet Nam’s work improved the client’s operations, customer communication process, and overall workflow efficiency. The team was strategic and reliable. Moreover, AgileTech Viet Nam worked closely with the client to understand their business objectives and recommend solutions.

4.5
Apr 2021

“They are incredible to work with and are truly passionate about technology and our concept.”

AgileTech Viet Nam provides mobile app development services for a social media startup. They are building the app using Node.js and Flutter. With the ongoing partnership, AgileTech Viet Nam’s passion has impressed the client so far. The team is truly into technology, and their concept makes the client feel confident about the project’s continuous success.

4.0
Jun 2019

“I was impressed with the flow of the project.”

AgileTech Viet Nam developed a mobile app from scratch. After helping with scoping and objective formation, AgileTech created design mockups and developed the full iOS and Android solutions. Valuable user data is being gathered in ongoing beta tests, which will soon lead to growth and expansion opportunities. AgileTech Viet Nam provided consistent communication and established a smooth workflow. Issues were raised proactively, allowing fixes to come earlier in the process.

5.0
Nov 2024

“AgileTech excelled in supporting our project from initial mock-ups through to the final delivery on the App Store.”

AgileTech excelled in supporting our project from initial mock-ups through to the final delivery on the App Store, incorporating data analytics that we could easily share with our customers. The scope of work included mock-up creation, UI/UX design, interactive prototyping, app development, rigorous testing, and setting up a secure production environment on AWS, culminating in the apps release on both iOS and Android platforms.

5.0
Nov 2024

“Since we launched our new site we’ve seen a significant increase in traffic and sales, which proves their work is effective.”

We’ve had an amazing experience with AgileTech for our eCommerce platform. The team worked with us to build an user friendly online store that met all our business needs. Their eCommerce development expertise was evident from the start as they shared valuable insights on how to maximize sales. The AgileTech team are not only talented but also care about their clients success. Since we launched our new site we’ve seen a significant increase in traffic and sales which proves their work is effective.

5.0
Nov 2024

“Their attention to detail in web development and UI/UX design has given us a site that looks great and works flawlessly.”

Working with AgileTech has been a game changer for us. We wanted a modern and responsive website and AgileTech delivered more than we expected. The team was super collaborative and involved us in every step of the process. Their attention to detail in web development and UI/UX design has given us a site that looks great and works flawlessly. The AgileTech team members are not only talented professionals but also great communicators, so we could share our vision and ideas easily. They were so committed to our success and the end result has increased our user engagement and satisfaction so much.

What an MES Includes

Six areas make up the system. Execution and data capture are what the shop floor touches; genealogy and performance reporting are what the business gets in return.

Work Order Execution and Routing

Work orders released from the plan, sequenced to work centres, with operation steps, setup instructions, and completion recording. Operators see what to run next and what it requires, including tooling, materials, and the current revision of the instruction. Splits, merges, reworks, and partial completions are modelled explicitly, because they happen constantly and systems that ignore them force paper workarounds.

Shop Floor Data Capture

Station interfaces designed for the actual environment: gloves, poor lighting, noise, and no time. Barcode and RFID scanning wherever a keystroke can be eliminated, large touch targets, and screens that show one decision rather than a form. Every capture works offline and syncs when the connection returns, because intermittent connectivity in a factory is normal rather than exceptional.

Machine and Equipment Integration

Signals from PLCs, CNC controllers, and sensors read through OPC UA, MQTT, or vendor protocols, giving machine state, cycle counts, and fault codes without manual entry. Older equipment often exposes very little, so we are explicit about which machines can be integrated and which need operator entry, rather than promising uniform automation across a mixed age asset base.

Material Consumption and Work in Progress

Issue of materials against work orders, backflush where appropriate, scrap and yield recording, and visibility of work in progress at each stage. Actual consumption is compared against the bill of material so variance is visible while it can still be acted on. Lot and serial numbers are captured at consumption, which is what makes traceability possible later.

Genealogy, Traceability, and Quality Holds

A complete record of which materials, lots, machines, operators, and process parameters produced each unit or batch, in both directions. Given a defective unit you can find its inputs; given a suspect input lot you can find every unit that contains it. Quality holds block downstream movement and are released only by authorised users, with the reason recorded.

Performance, OEE, and Downtime Analysis

Availability, performance, and quality measured from captured data rather than estimated, with downtime categorised by cause and duration. The value is in the cause codes: knowing a line ran at seventy percent is mildly interesting, while knowing that a third of the loss came from one changeover is actionable. Reports are built for the daily production meeting, not for a dashboard nobody opens.

Integration Surface

An MES is defined by what it connects to on both sides: the equipment below and the planning systems above.

  • Work order release, material master, bill of material, routing, and confirmation of production back to the ERP, usually the system of record for cost and inventory value.
  • OPC UA, Modbus, MQTT, or vendor specific protocols for machine state, counts, cycle times, and alarms, with a documented list of which assets can and cannot be read.
  • Process parameter data at the resolution your quality obligations require, linked to the batch or unit it applies to rather than stored as an unassociated time series.
  • Material issue, receipt of finished goods, and stock movements, so physical movement and system records stay aligned rather than diverging over a shift.
  • Inspection results, test data, and dispositions attached to the batch or unit, including results that arrive after the product has physically moved on.
  • Machine faults and runtime hours feeding maintenance triggers, and maintenance activity blocking or releasing production availability in the schedule.
  • Label and document generation at the point of packing or dispatch, with the identifiers and data that downstream customers and regulators require.
  • Production data streamed to your warehouse for analysis, kept separate from the operational path so reporting load never affects a station's responsiveness.

Technical and Governance Decisions

The engineering decisions that determine whether a MES development project holds up in production, set out before the build starts.

The Station Must Work When the Network Does Not

Factory networks fail, and a station that stops accepting input when the connection drops sends the shop floor back to paper within a day. Station interfaces therefore buffer locally and reconcile on reconnect, with clear indication of what is pending. Conflicts on sync are resolved by defined rules rather than silently discarding one side.

Traceability Is a Data Model Decision, Not a Feature

Genealogy must be designed into the model from the start. Retrofitting lot and serial tracking onto a system that recorded aggregate quantities is close to a rebuild, because the granularity was never captured. We establish early what unit of traceability your product and obligations require, whether that is serial, lot, batch, or shift, and build to it.

Machine Integration Assessed Before It Is Promised

Mixed age equipment is the norm. Some machines expose rich data over OPC UA, some offer a single dry contact, and some offer nothing at all. We survey the actual asset base and produce a per machine statement of what can be read before any estimate is given, because assuming uniform connectivity is the most common cause of MES overrun.

Typical Stack

Chosen for reliability on a factory floor and for maintainability by whoever supports the plant after handover.

  • Progressive web applications or native clients with local storage for offline operation, built for touch with gloves, high contrast for poor lighting, and barcode scanner input treated as the primary path.
  • Java, Kotlin, or Go for the execution services, with clear boundaries around work order handling, data capture, machine integration, and reporting so each can be released without stopping the others.
  • PostgreSQL for transactional records with append only capture and genealogy tables, a time series store for machine and process data at high resolution, and a warehouse for OEE and analysis.
  • MQTT or OPC UA gateways running close to the equipment, message queues that buffer when the central system is unavailable, and infrastructure as code with monitoring on capture rate and sync backlog rather than only on server health.

Who This Is For

Discrete Manufacturers with Serialised Products

Assembly operations producing identifiable units need serial level genealogy, station by station progress, and the ability to answer what went into unit 40912. Rework loops and partial completions are frequent, so the work order model must handle them natively. Warranty and recall exposure usually justifies the traceability investment on its own.

Process and Batch Manufacturers

Batch operations care about process parameters, yield, and the association between input lots and output batches. Traceability is lot based rather than serial, and the process data captured during production is often part of the quality record itself. Deviations and their dispositions must be recorded as part of the batch, not alongside it.

Contract Manufacturers and Job Shops

High product variety and short runs mean setup and changeover dominate, and each customer may impose different traceability, labelling, and reporting requirements. The system must be configurable per customer without a development cycle per contract, and cost capture per job matters as much as throughput.

Plants Replacing Paper or Spreadsheets

Production is currently tracked on paper travellers and spreadsheets, which means data exists but arrives too late to act on. Here the priority is capture that operators will actually use, introduced one line or cell at a time. Attempting a whole plant rollout at once is the most reliable way to turn a workable system into a rejected one.

How We Deliver an MES

A sequence built around planned downtime, because a factory cannot pause output to accommodate a release window.

AgileTech software delivery process A six step delivery workflow: requirement analysis, planning and design, development, quality assurance, deployment, then maintenance and support. 01 RequirementAnalysis 02 Planning &Design 03 Development 04 QualityAssurance 05 Deployment 06 Maintenance &Support
01

Walk the floor before writing anything

We spend time at the stations, watching how work actually flows, what operators record, where the paper is, and which workarounds exist. Every plant has workarounds, and they are information rather than indiscipline: each one marks a place where the current system does not fit reality. Specifications written without this step describe a factory that does not exist.

02

Survey the equipment and state what is readable

Each machine is assessed for what data it exposes and how, producing a per asset statement before any estimate. This is where MES projects most often go wrong, and an honest survey sometimes reduces the automation a client expected. We would rather deliver that news at the start than at commissioning.

03

Fix the traceability granularity

With your quality function we determine the unit of traceability the product and its obligations require, then design the genealogy model to it. This decision constrains everything downstream and cannot be changed cheaply later, so it is made deliberately and documented rather than assumed.

04

Build one station properly and test it in place

A single station interface is built and used in real conditions, with gloves, real scanners, real lighting, and the network deliberately interrupted. Operators tell us what is wrong, and it is corrected before the pattern is repeated. One well tested station is worth more than a complete design nobody has stood in front of.

05

Extend line by line with integration behind it

Coverage grows one line or cell at a time, adding machine integration, material consumption, and quality holds as each is proven. ERP integration is exercised with real work orders and real confirmations, including the awkward cases of splits, scrap, and partial completion that a demonstration usually omits.

06

Prove the numbers, then hand over

Before sign off, captured production must reconcile against physical counts and ERP confirmations, and OEE figures must be explainable to the people whose line they describe. Handover includes runbooks for network loss, machine integration failure, sync backlog, and the reconciliation exceptions your team will meet in the first month.

Frequently Asked Questions

What is the difference between an MES and an ERP?

The ERP plans and accounts: what to make, what it costs, what stock is worth. The MES executes and records: what is actually happening on the floor right now, on which machine, by whom, from which material lot. They need each other. Trying to run shop floor execution from an ERP usually fails because ERP transaction models are too coarse and too slow for station level work, and trying to run planning and costing from an MES fails for the mirror reason.

Do we need an MES if we already have an ERP?

Only if you need execution level detail the ERP cannot supply: real time work in progress, machine level performance, unit or lot genealogy, or operator level capture. If you are tracking production on paper and entering totals into the ERP at shift end, you have the data but not in time to act on it, and that gap is what an MES closes. If your current visibility is adequate for your decisions, we will say so.

Will operators actually use it?

That depends almost entirely on how many actions a routine task takes, and it is the question we design around first. If recording a completed unit takes one scan, it gets recorded. If it takes a form, a dropdown, and a confirmation, a paper tally appears within a week. We test station interfaces in real conditions with real operators before repeating the pattern, and we treat operator rejection as a design defect rather than a training problem.

Can you integrate our older machines?

Some of them, and we tell you which before you commit. Equipment varies from rich OPC UA data to a single output contact to nothing at all. We survey the asset base and produce a per machine statement of what is readable. Where a machine cannot be integrated, operator entry is designed in deliberately. Any vendor promising uniform connectivity across a mixed age asset base without surveying it has not looked at your plant.

How do you handle network outages on the floor?

Station clients buffer locally and continue working, showing clearly what is pending, then reconcile when the connection returns with defined conflict rules. This is treated as a normal operating condition rather than an error case, because in most factories it is. A system that stops accepting input when the network drops will be abandoned for paper the first time it happens during a busy shift.

What does full traceability actually require?

Capturing identity at the point of consumption, which means lot or serial numbers recorded as material is issued and as units progress, plus machine, operator, and process parameters bound to each unit or batch. The requirement is granularity at capture time. It cannot be reconstructed later from aggregate quantities, which is why the traceability decision has to be made before build rather than added afterwards.

How long does an MES implementation take?

A first line with work order execution, data capture, and ERP integration is typically a few months, with the floor survey and station design taking a meaningful share. Extending across lines is faster per line but machine integration on older equipment is the usual variable. A whole plant is a staged programme, and we would not recommend attempting it as a single cutover.

Can we start on one line rather than the whole plant?

Yes, and we recommend it strongly. One line proves the station design, the integration approach, and the reconciliation before the pattern is repeated at scale, and it gives operators on other lines a working example rather than a promise. Whole plant cutovers concentrate all the risk into one weekend, and MES risk is mostly in human acceptance rather than in software.

How does an MES relate to production planning?

The plan decides sequence and timing; the MES executes it and reports what actually happened, which then corrects the next plan. They are separate systems with a tight loop between them. Our production planning and scheduling page covers the planning side, including how actual capture from the floor makes the schedule realistic rather than aspirational.

What about OEE reporting?

OEE is computed from captured availability, performance, and quality rather than estimated, and its value lies in the downtime cause codes rather than the headline figure. A single percentage tells you little; knowing that most of the loss is one changeover on one machine tells you what to do on Monday. We design the cause code structure with the people who run the line, since a taxonomy they did not agree to will not be used honestly.

What do you need from us to start?

Access to the floor for observation, an equipment list with controller types and any existing connectivity, your ERP and its interfaces, your traceability obligations, and a representative product with its routing and bill of material. Time on the floor is the single most valuable thing you can give us, because it consistently reveals constraints no document mentions.

Trusted and Recognized

Independent directories, certification bodies, and award programs that have assessed our work. Each badge links to its source or names the standard behind it, so every claim on this page can be checked at first hand.

Top Mobile App Developers - ClutchTop Software Development Company - GoodFirmsReliable Company - ExtractISO 9001:2015 certifiedISO 27001:2013 certifiedTechBehemoths Awards - Mobile App Development

Ready to Discuss Your Manufacturing Execution System Project?

Tell us your process type, how many stations need a screen, and which machines can already be read electronically. We will come back with a straight assessment of build versus integrate, a delivery sequence, and an estimate within 48 hours.

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