Case Study · Sexing Technologies · Genetic Production & Processing

Connecting the Sexing Technologies Production Lifecycle

Connecting production stages, quality decisions, inventory movement, and business systems in one operational workflow.

The challenge

Complex production work in process

In a specialized, multi-stage production operation, work in process is more than a number. Material, labor, equipment activity, quality decisions, and inventory must move through coordinated stages, often across locations.

Sexing Technologies' production lifecycle spans animal admissions, collection scheduling, laboratory processes, sorting, freezing, quality checks, allocation and warehouse activity. Each stage has its own data, people, rules and dependencies. The challenge was to represent those realities in one operational system rather than force a unique production process into disconnected departmental tools.

See the work

Capture the information associated with each specialized production stage and its handoffs.

Connect the work

Bring production, quality, inventory and downstream enterprise processes into a shared operating environment.

Protect the process

Preserve domain-specific rules, traceability information and role-based responsibilities.

What Ayoka delivered

Sex-cess: software built around the real production flow.

Ayoka developed Sex-cess, a second-generation Java enterprise application, using a centralized multi-tenant data architecture supporting multiple locations. The system reflected the operating lifecycle, specialized processing information and roles of the people performing the work. It also connected warehouse transfer with SAP billing.

10

Documented workflow stages

From animal admission through warehouse transfer and billing.

Multi-site

Shared data architecture

A centralized, multi-tenant environment across locations.

SAP

Enterprise connection

Production and warehouse activity linked to the billing process.

The approach

Connect the lifecycle

Ayoka connected ten operational stages so teams could follow work across production, quality, traceability, and warehouse activity. The workflow also connected warehouse activity with SAP billing.

01Animal Admission
02Collection Planning & Scheduling
03Collection Arena
04Laboratory Processing
05Sorting
06Cold Room & Freezing
07Quality Control
08Allocation
09Inventory
10Warehouse Transfer & SAP Billing
Why this is a WIP story: Each handoff carries operational context. Connecting stages makes it possible to manage the production lifecycle as a coordinated process instead of treating the finished result as the only point of visibility.
Operational proof

Operational capabilities connecting the production lifecycle.

Production-level detail

The application modeled RFID, sample tubes, conventional and sexed processing, sorting, freezing and related production information.

Quality and traceability

Production information continued through quality control, allocation and inventory rather than ending at a departmental boundary.

Role-based operations

Permissions reflected admissions, collection, animal health, laboratory work, sorting, freezing, QC, inventory and administration.

Multi-location coordination

A centralized, multi-tenant database supported the documented multi-location operating model.

Business-system integration

Warehouse transfer and SAP billing formed part of the documented end-to-end workflow.

Production infrastructure

Project materials documented Java, Grails/Tomcat, MySQL, deployment environments, backups and logging.

The outcome

From specialized stages to a connected production operating environment.

The documented result was a centralized application designed to carry operational information through the production lifecycle and into enterprise billing.

That is the demonstrated outcome. It is also the foundation for the outcomes manufacturers care about: understanding where work sits, identifying handoff friction, managing constraints, protecting quality, and making more informed capacity decisions.

The Ayoka approach

Understand the work. Connect the stages. Make the operation easier to manage.

1. Follow the real process

Map how work, information and decisions move across the operation.

2. Preserve what makes it unique

Encode specialized rules, users, data and handoffs instead of imposing a generic workflow.

3. Connect shop floor to business

Link operational activity with quality, inventory and the enterprise systems that depend on it. Explore our factory automation and PLC integration capabilities.

The lesson for manufacturers: Winning in the WIP starts by making the work between order and output understandable. Better visibility creates the basis for improving flow, capacity, consistency and decisions.
For manufacturers and industrial operations

Why this matters to other manufacturers

Manufacturers with multi-stage operations face similar challenges: disconnected status information, handoffs, inventory movement, and delayed visibility into what is ready to ship or bill. The underlying principle is to connect existing production and business systems around the flow of work.

See Factory Automation, PLC Integration, and Rent Custom Software.

Frequently asked questions

How This Applies to Your Operation

How can manufacturers track WIP across multiple production stages?
Use consistent job or lot identifiers across intake, processing, quality checks, inventory, and completion. Record timestamps and exceptions at each handoff to see where work is waiting without losing traceability.
How do quality checks and traceability stay connected as work moves?
Track each job or work package through defined stages, capture status and exceptions at handoffs, and connect the relevant production and business records. This helps teams identify where unfinished work is waiting and what action is needed.
How can production inventory and SAP billing be connected?
Start by mapping the current workflow, identifying the systems and handoffs involved, and verifying the available data. Then connect the specific information needed to make decisions and measure the operational result.
Can this approach work in another multi-stage manufacturing operation?
Track each job or work package through defined stages, capture status and exceptions at handoffs, and connect the relevant production and business records. This helps teams identify where unfinished work is waiting and what action is needed.

Related solution: If your operation needs software around these connections, explore Rent Custom Software.

Scale with Speed

Where is your work getting stuck between the shop floor and out the door?

Tell us what you're seeing: disconnected systems, unclear WIP, production handoffs, quality bottlenecks or inventory that is difficult to track.

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