Progress is driven by constantly asking what can be done to improve the existing situation. At QLECTOR we work hard to help our clients answer this question proactively by offering predictive capabilities built into QLECTOR LEAP platform.

In previous posts we discussed the importance of visibility and transparency: real-time information about our factory helps us have a clear picture of ongoing processes and operations. Based on timely and accurate information we can better understand pain points affecting overall performance and draw strategies to solve them. …


Accurate real-time information at all levels of the factory provides visibility into processes and operations. It is also a precondition to understand current performance and spot new opportunities: from underperforming areas as well as over the average ones.

Events can be traced across levels and associated with specific outcomes. Events tracing can be done at the human level, but much time can be saved if it can be done at the machine level, relating relevant events to a specific outcome and displaying them in a proper format and granularity.

With Qlector LEAP we are committed to delivering a world-class solution…


First value-added for Industry 4.0 is increased visibility of ongoing processes. Factories digitalization made data about processes easily accessible — but integration among different systems remains a challenge in most cases. Data sylos may affect decisions since partial views are granted when accessing different systems. A single source of truth with conciliated and integrated data — not a warehouse — is required to understand what is going on at different levels and expose important facts.

At QLECTOR we understand that the main issues are related to how we manage people, production process, equipment, facilities and how do we communicate changes…


The industry is evolving into a new stage: Industry 4.0. We are starting to make use of digitized records and interconnected assets to deliver greater value by enhancing visibility, increasing transparency, being able to predict outcomes and adapt.

Enhanced visibility comes from processing and visualization of digital records from an all connected factory to get a specific overview of what is happening. Visibility increases awareness. But to make a change we must understand (transparency) certain behaviors: desired or not.

If desired, will help us to enhance the rest of the process based on the deeper understanding we get. If those…


The purpose of lean is to adopt a disposition to remove inefficiencies from any production phase in the company and never produce more products than those required by demand.
This proposition drives the culture and configures the whole production system and thus impacts not only processes but the whole factory design and architecture. The convenience of IoT, cloud platforms and massive spread of artificial intelligence impact the core of all these stages and call for a redesign of manufacturing processes, architectures, and ecosystem, creating a new generation of factories — the smart factories.

Optimizing the value stream

In lean manufacturing, the value stream is…


There is a growing need to enhance existing processes in order to satisfy customer expectations which define value and influence fidelity.

The growing amounts of sensors, data, computing resources, services and usage of artificial intelligence reshaped many areas in the society and are increasingly influencing the manufacturing sector [1] [2]. The fact that even small enhancements over the manufacturing process translate into gains and economic growth [3] was acknowledged by multiple governments, which developed initiatives to embrace change [4], [5], [6], [7] and favor the development of a new generation of factories — smart factories.

Government investments for this area…


QLECTOR attended the ESWC 2019 conference! This was a great chance to get up to date on best practices related to Semantic Web.

Among presentations, we got to know firsthand about ongoing developments from the companies that leverage knowledge graphs to optimize their production processes. In the following post, we highlight two talks that showcase how semantic technologies are being used in the context of Industry 4.0.

FESTO provided great insight into how they developed a Knowledge Graph ETL pipeline, capturing relevant data sources, tracking changes to ensure that the knowledge graph does not grow stale and specifying ETL transformations in a declarative manner¹. The pipeline evolved into a microservices architecture where each service deals with a specific phase. They keep track of…


At Qlector we are committed to develop and deliver high quality software and take into account best engineering practices as listed in 12 factor apps.

In the following post we describe how we introduced Continuous Delivery. By doing so, we reduce waste, costs of development as well as increase quality. First we will briefly describe the practice and principles and later dive into details about how we implemented it at Qlector. Over the post we point to relevant posts which were useful to us when thinking about problems and designing a pipeline.

Definitions, principles and metrics

CI & CD2: how do we define them?


“Without data, you’re just another person with an opinion.” W. Edwards Deming.

This year we attended FutureMSCE event, which brings together professionals from all Slovenia and abroad regarding supply chain collaboration. It was a great congress and there many points where we envisioned ourselves delivering value by solving supply chain problems. Through this post, we would like to present some relevant ideas and provide insight into our vision and how we are solving them through our platform.

Optimization planning

One of the most important problems companies face is accurate planning: the less error is introduced in expected demand, the better…


Continuous delivery follows some principles inherent to lean: continuous improvement by removing all kind of waste — in our case by automating repetitive tasks and focusing only on tasks that drive value — those that require human creativity and skill. Can we build a dev environment to achieve this?

By following this lean principle, we identified features such a platform should satisfy:

  • the best scenario we can aim for would be a zero knowledge setup for anyone working on the project: just by cloning the code, opening an editor or IDE and executing some script we should have everything ready…

QLECTOR

QLECTOR is a start-up company developing artificial intelligence based solutions for manufacturing, logistics and finance industry.

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