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Design Thinking: The Key to Better Software for Manufacturing

Discover why generic software fails in manufacturing and how design thinking creates solutions that drive efficiency and innovation.

Updated 6 March 2025 4 min read

The manufacturing industry continuously strives for improvement, often turning to software systems to enhance operational efficiency and productivity. However, these efforts frequently fail to meet expectations, leaving companies questioning the value of their investments.

Over our two decades of experience, we’ve observed a common trend: the failure to address the unique intricacies of manufacturing operations. Generic software solutions, while promising in theory, often lack the specificity required to meet the diverse needs of manufacturing environments. This mismatch necessitates extensive customisation, often carried out by developers who lack a deep understanding of manufacturing processes and the daily challenges end-users face.

This article explores the unique challenges confronting manufacturing environments and explains how a shift towards design thinking can revolutionise software design, fostering innovation and driving tangible results.

What is Design Thinking?

Before we start, it is good to understand what design thinking is.

Design thinking is an innovative approach to problem-solving and creativity centered on human-centered design principles. It involves deeply understanding users’ needs, empathising with their challenges, and reframing problems to generate novel solutions. Unlike traditional problem-solving methods, which focus solely on the problem, design thinking emphasises crafting effective solutions that address user needs.

This methodology extends beyond product design to encompass processes and services as well. By challenging conventional assumptions and prioritising user-centric design principles, design thinking minimises uncertainty and significantly enhances the success rate of software implementation projects.

Why Do Generic Software Solutions Not Work in Manufacturing?

The root cause of many software implementation failures in manufacturing lies in the inherent mismatch between generic software solutions and the specific needs of manufacturing processes. These solutions, designed to cater to a broad range of industries, lack the depth of understanding required to address the complexities of manufacturing operations effectively.

Manufacturers operate in diverse environments, each with its own unique set of challenges and requirements. From continuous process industries to batch or discrete manufacturing, the nuances of each sector demand tailored solutions. However, manufacturing software suppliers often attempt to develop a one-size-fits-all product, leading to suboptimal outcomes and frustrated end-users.

What’s Unique About Manufacturing?

One of the key challenges in manufacturing is the finite nature of an operator’s time. With numerous tasks competing for attention, operators must efficiently navigate their responsibilities to ensure smooth operations. However, the proliferation of digital tools, each serving a specific function, can overwhelm operators and hinder productivity.

For example, consider the task of updating an OEE (Overall Equipment Effectiveness) tool. While seemingly straightforward, this task can become cumbersome due to the complexity of the software, poor design, or the sheer number of tools required. This inefficiency wastes valuable time and detracts from the operator’s ability to focus on value-adding activities.

Maximising Success in Manufacturing

For decades digital tools for manufacturing have been developed with only a specific business outcome in mind rather than solving the specific user problem.

This doesn’t mean that the overall outcome and a user-centric solution are mutually exclusive; rather, it enforces the view that the most efficient and predictable way to achieve the best overall outcome is to incorporate the end users into the solution delivery process.

The key to maximising success in manufacturing software projects is prioritising user engagement and employing proven methodologies such as design thinking. Manufacturers can drive operator engagement, increase data awareness, and lay the foundation for successful digital transformation initiatives by putting users at the forefront of planning and design.

Design Thinking and Software Solutions

Recognising the limitations of generic software solutions, a transformative shift towards design thinking is imperative. At Cyzag, we advocate for placing users at the heart of the design process, identifying that the key to successful software design lies in understanding and addressing the unique needs of the end-user.

By involving end-users in the design process, manufacturers can customise solutions to tackle specific challenges and yield tangible advantages.

Implementing Design Thinking in Software Development

Integrating design thinking principles into software development projects allows for the balanced consideration of conflicting factors such as feasibility, viability, and desirability. By embracing an iterative methodology, we can identify weaknesses in the design early on, mitigate risks, and ultimately ensure a successful outcome.

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Three Main Factors for Consideration in Design Thinking

At the heart of the process is an iterative methodology: understand, explore, and materialise. The aim of this is to identify weaknesses in the design as early as possible and mitigate the risk of a failed project at the end. If we are to fail, then fail quickly, learn quickly, and rebuild quickly. Each iteration of the solution’s development then forms a strong basis for the next iteration. This approach significantly reduces uncertainty and ensures a successful outcome.

The Design Thinking Process

Design Thinking Process

Each iteration contains six important steps:

  • Empathise: What is the problem? Define the challenge from the users’ perspective and understand their environment and the systems that they interact with.

  • Define: Why is it important? Research and define why solving the issues is necessary.

  • Ideate: How do we solve it? Brainstorm solutions – all ideas are good ideas.

  • Prototype: How do we create it? Test concepts quickly and cheaply.

  • Test: Does it work? Test the solution and gather information for improvements.

  • Implement: How do we improve? Measure and find opportunities for improvement.

These steps propel the design thinking process towards innovation and excellence, offering a structured path to transformative solutions.

Conclusion

In conclusion, design thinking is key to unlocking innovation in manufacturing software design. By understanding the unique challenges of manufacturing environments and prioritising user-centric design principles, we can overcome the limitations of generic software solutions and drive meaningful change in the industry.

Discover how Nouryon, a chemical manufacturing company, employed design thinking across 23+ plants to achieve their manufacturing objectives.

Read: Design Thinking Case Study in Manufacturing

Want to learn how Cyzag’s platform can work for your manufacturing plant?

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Related solution Shift logbook and handover A digital shift logbook for process plants: structured entries, live process data and open tasks in one record, searchable handover history and an audit trail.

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