Designs & Invention Disruption Information and Communication Technology (ICT)

How to Have More Efficient Manufacturing Processes

It is very important to make sure that your business is working as efficiently as possible in the modern manufacturing world. By eliminating wastefulness and making sure that your products are delivered in the best manner you can achieve, your business is then sure to be a definite success. So, the question you might be asking yourself as a manufacturing owner is how to make sure that you have the right processes in place to be more efficient. Thankfully for you, you are in the right place as this guide has been created to ensure a few ways to allow your business to be successful. Read on now to learn all about having an efficient manufacturing processes. 

Use Automatic Mobile Robots

If you are looking to cut costs on workers and ensure a round-the-clock operation, then your business must invest in automatic mobile robots. They can be trained to memorize every part of the factory floor and then set off and do work quickly and efficiently. The types of robots that you should be interested in are lifts, pallet trucks, drones, and tractors, meaning that you will have a fleet to take on every part of the manufacturing process. Take a look now for AMR solutions that work for your business. 

Use Smart Management Systems 

Despite the rise of automation, which is projected to take more manufacturing jobs in the coming years, there will still be people at the heart of your manufacturing business. That’s why it is important to make sure that you have a smart management system to know who is coming in and working on any particular project. The days of clocking in with a slip of paper is definitely over — replace it with a smarter digital system, and your company’s productivity is sure to improve as a result. 

Have Clear Workstations

One way to ensure a poorly-run workplace is by having your employees waste time before they actually get started. This can easily be caused if your workstations are not properly signposted. That’s why it makes sense to have clear workstations that allow workers to quickly pick up their tools before getting on with work. It makes sense to complement this with clear signage that allows people to see where they need to go and what they need to do from when they walk into the factory. 

Use a Just-in-Time Manufacturing Principle 

Being efficient is not just about working as fast as possible, it’s also about making sure that you eliminate any kind of wastefulness. One way to do this is to adhere to a just-in-time manufacturing principle, as famously popularized by Toshiba in Japan. This means that you only have the number of materials you need to at any given time, allowing you to be far more agile and lean. Unfortunately, by having too much material on stock, you are basically paying more than you need to, thus causing losses eventually for your company. 

Pay Your Employees More

If there’s anything that kills manufacturing processes dead in the water, it’s unions and strikes. While it is the right of any business employee to form a union, especially when they believe that they are not being fairly compensated for their work, they can be very bad for business. This is why you should definitely try and put guardrails in place to prevent this from happening. Currently, due to a lack of demand for jobs thanks to the coronavirus pandemic, higher wages will be needed to lure workers in. So, make sure you have the budget to raise wages to ensure that you are attracting the top talent, who will be more efficient. 


Despite what some people might say on the internet, there is no magic single bullet that will help your business to be more efficient. Instead, it is recommended to take a look and implement every single one of the recommendations written above. Additionally, if you find yourself struggling in the near future, it might be worth revisiting this article to refresh yourself about the most efficient manufacturing processes around. 

Information and Communication Technology (ICT)

Growth Opportunities in Manufacturing (And the Risk to Beware)

The manufacturing industry in the US lost 740,000 jobs during the COVID pandemic. Similar problems faced manufacturers all over the world. The virus also disrupted supply chains in many countries, and 2020 overall was not the perfect year for the industry. However, industry experts stay positive and seek opportunities within the realm of manufacturing software development. The emerging technology is expected to enhance current operations in all aspects of the industry hence providing a wide range of investment opportunities for businesses of all sizes. Now, let’s explore some of the top growth opportunities for manufacturing in 2020-2021.

Top growth opportunities for manufacturing in 2020-2021

Top growth opportunities for manufacturing in 2020-2021
Manufacturing industry has had its share of the ongoing pandemic. The coronavirus effect has touched all spheres of manufacturing industry from production to distribution etc., and that has opened the door for other sectors to thrive i.e. manufacturing software development sector. Here are the top growth opportunities for manufacturing in 2020-2021.

1. Green initiatives through manufacturing technology

The speed of manufacturing industry development has already been named the 4th industrial revolution. Such rapid development heavily impacts the planet; this is why more and more companies turn into Social Supers who truly believe in the possibility of staying profitable while also improving the world around them. Companies are willing and ready to update their existing processes for the greater good of the whole planet, and the fact that no earning gets lost in the process only urges most businesses to join the caste.

Most often, the update of the existing practices through manufacturing production software is what turns the harmful impact into a profitable and positive process. 64% of manufacturers in the US are willing to turn to renewable energy in the upcoming five years, and more than a third of the market believes that the use of special manufacturing software in Australia can easily diversify their dependency on traditional energy sources and also reduce costs. Considering that consumers all over the world prefer sustainable brands, manufacturers who turn to green initiatives can earn a great profit by showcasing their green processes to the world and making a point about this.

Green initiatives through manufacturing technology
Green initiatives through manufacturing technology will further enhance the entire output and reduce production time. The only challenge will be the cost of upgrading the tech such as manufacturing software development, hardware replacements and upgrades.

The risks: The main risk comes from the need for process change and the costs involved. A manufacturing company needs to always carefully weigh the benefits and calculate the cost of such a transition. Modern manufacturing technology can help with a smoother change, so instead of diving into sustainability right away, it is worth considering the help from a manufacturing software development team first.

2. Supply chain digitalization

44% of manufacturers report that their current supply chain is too complex and inefficient. Here are its most common growth barriers:

  • High transportation costs of assets
  • Underused assets
  • High rework costs
  • Low risks reaction
  • Unexpected issues with vendors

These and many other problems cast a shadow on all manufacturing processes and so customer service. As a result, in the era of global digitalization, many companies within the manufacturing industry turn to the manufacturing software development teams for help. Among the top software, orders are AI-based initiatives, robotics, deep data analysis, and, of course, 3D printing solutions. The latest example can help with adaptation to the rapid and urgent market demands; automotive manufacturing company software can set up autonomous forklifts and warehouse machinery for faster operations; robots have long been working besides humans on production lines for the enhanced production process.

The top priority in terms of digitalization for supply chains is, undoubtedly, the kind of automotive manufacturing companies software used for data collection and analysis. Data that comes from sensors, timing of deliveries, shifts efficiency, and many other indices gets collected by the software, then is analyzed with advanced AI. As a result, the manufacturing business receives a valuable analysis of the real-time data that allows managers and operators to optimize the processes even better. Such information also helps with forecasting and risk management as well as inventory management also performed by manufacturing technology solutions.

Supply chain digitalization through drone and other manufacturing software development powered solutions
You can setup a supply chain digitalization system using drone technology and other manufacturing software development enhanced solutions to aid your service delivery come new year.

The risks: Poor timing for supply chain digitalization is what causes the greatest problems for companies. Make sure to carefully think of the low season for your business to gradually begin implementing such a massive change. Otherwise, the shock from all the data, new processes, and high-tech solutions might literally paralyze the company. 

3. Customer needs anticipation

Investment in customer satisfaction and overall relationship with the end-users of a manufacturing product is a priority for 62% of manufacturers. Since personalized experience and customized offers are among the top concerns for end customers, the ability to predict what the market would be like instantly becomes the main goal for any manufacturing business.

Let’s take the automotive industry as an example here. Since cities get overcrowded today, many global capitals restrict their city centers to residents only and minimize the options of public parking. In this respect, manufacturers invent smaller and smaller cars that could satisfy the basic need for transportation while also posing no problems for their users in big cities and complying with the environmental restrictions around the world. These are automotive manufacturing companies whose software is based on AI and big data analysis that win the race here. Only companies that predict the new environmental restrictions or country policies can win the market and prepare for their demand ahead of time.

The risks: It is simple here – a prediction that fails to happen. The anticipation of the market change is essential, 74% of manufacturing businesses agree with the statement. However, it is also crucial to understand that if you invest in some manufacturing software development and this software appears to be of no use, your business can lose a lot of money even before releasing the product. That is why forecasting of future trends is important, yet it has to go together with the risk management initiatives. 

4. Adoption of transparency

Since public opinion shapes the reality of modern manufacturing, companies need to be particularly careful about their inside processes, resources, and usage of assets. The easiest way to be in the positive spotlight is to uncover all the processes to the consumers willingly. For example, Patagonia allows its customers to check the company’s carbon footprint. It knows such a problem exists but by showing all the data, it demonstrates the business’s work in progress and earns the hearts of the publicity. Failure to disclose such information in the modern world can turn into a disaster, as happened with Apple six years ago.

The trick here is that technologies can help in this aspect of manufacturing as well. For example, manufacturing software from Singapore based on the blockchain can help a business ensure that no transaction and action within the company is left out. By showing the trace for each and every action in the chain, a company can prove its sustainability and build transparency within the brand, keeping the customers included and aware of their deals.

The risk: Do not disclose more than needed. A manufacturer needs to state where the assets and resources come from and how they are involved in the process, but the publication of every single step on the way from the seed to a cupboard might not be the best initiative. Remember that the more information is shared, the more problems one can find in it. 

Industrial 4.0 and its effect on manufacturing software development

Conclusion: manufacturing driven by consumers

The rapid change in manufacturing is obvious and unavoidable. Universal implementation of manufacturing production software or AI has turned from a benefit to a necessity. Competition gains strength, consumers become more hard-to-please, and the technology evolves into new shapes on a daily basis. Rethinking of the existing values and routine operations for manufacturing businesses is a vital step to survive sudden changes.

Growth Opportunities in the industry of 2020 are enormous: from the well-known yet still essential digitalization through manufacturing technology to becoming sustainable at every step of the way. The smart and forward-thinking manufacturing companies are already seeking assistance from AI and robotics to turn around and understand the customers’ needs. So if you are not planning to trail behind the competition, gear up with technology and step into the future of manufacturing today.

Business Designs & Invention Featured Green Energy

Understanding Your Options During Product Development

Product development is a complex and risky endeavor. Yet you must come up with new and better products in order to remain in business because you’re in an ongoing race with everyone else on the market and newcomers you may not know are about to revolutionize the industry. Let’s learn more about your options regarding product development.

Product Development Basics: Getting to know your options

Understanding Product Development
For a company to stay ahead of emerging technological disruptions, there’s a need for an effective product development unit and there are certain steps to follow in putting this in place.

In-House Design and Production

This is the traditional method of product development. This is understandable given that you have complete control over the intellectual property, the schedule, and the budget. The problem is that few companies are skilled in the development side of research and development. They’re often limited to the manufacturing methods they have in-house to come up with a way to make their new product, though more efficient or advanced manufacturing methods may exist. A classic case would be designing a frame that is machined in your machine shop when 3D printing would be cheaper and faster. You’re also absorbing the cost of development and initial production runs, when the process may be faster and cheaper if you outsourced it to someone else.

In-House Design and Contracted Manufacturing

A growing number of companies are becoming intellectual property firms instead of manufacturers. They’ll design the electronics that form the core of their new line of electronics and hire a contract manufacturer to build it in volume. They may design and build the prototypes themselves, or they may outsource the prototyping to a third organization. Prototyping houses offer lower costs than dedicating your engineering team to coming up with circuit boards and protective housing for a new speaker.

In-House Initial Design with Contracted Partners

In this business model, your team is coming up with rough ideas for a product. Then you hire experts that can create a variety of prototypes. Each prototype can be tested for compliance with various industry standards, and you can have investors and consumer panels review it, as well. Select a prototype based on form, function, performance and estimated production cost. You could then move from prototype to end product by either hiring the prototyping firm to create the first few hundred units for sale or getting design information from them to be followed by contract manufacturers. Conversely, you could also use that same information yourself to build the final prototype in-house, assuming you have the parts and the capability.

Note that contracted partners could make any or all of the components in your new product. For example, you could have them assemble the complex printed circuit board to which you attach off-the-shelf and internally made components. This can often save you a lot of money because they’re able to offer PCBs at economies of scale well beyond what you’d make in house. They may make millions of PCBs a year whereas you only need 50,000.

Tips for Finding the Right Contract Manufacturer

What factors should you use to select a contract manufacturer? The first would be the location. If they’re located too far from your firm, it may take weeks to send a prototype to you to test and approve. And the prototyping and early production stage are when time is of the essence. The second is the capability. Do they have experience making the type of components you want to be produced? You don’t ask a machine shop to make PCBs. And you shouldn’t ask someone who typically makes small, thin PCBs to create a thick, complex board. It is outside their expertise and will come at a higher cost than a company that makes those items regularly will charge. A third factor would be engineering experience and resources. Can you just give them a drawing with the dimensions of the PCB and a rough outline of the design and they come up with a working prototype? Can they give you a polished set of work instructions and affordable parts list? However, you don’t want to work with a firm that tells you they’re the only source of your critical parts.

IoT (Internet of Things)

AI in the Manufacturing – How AI can transform the Manufacturing Industry

Computer-based intelligence is right now a really made innovation. It finds extensive use in different organizations, for example, gaming, banking, business, retail, and government applications moreover. The manufacturing industry has been contemplating on jumping on board with the transitory prevailing fashion, so to speak, starting late in understanding the authentic estimation of Industrial Automation. AI-driven machines are as of now making the possible destiny of our solace – they offer new possibilities and improve efficiencies are in progress.

Modern Revolution 4.0 as it is fondly referred makes a more grounded propelled economy on the establishment of robotized assignments, which empowers it to reconfigure how people and machines speak with each other and work together to make the world as we experience it today.

The primary concern we consider when we consider AI isn’t the methods by which it can give the complex essential initiative in the assembling industry, or how it can handle issues related to data over-burden. Be that as it may, it’s everything occurring, and the manufacturing industry is set to experience a segment of its most prominent changes yet!

The manufacturing sector (ranging from production to assembling part) is a perfect fit for the utilization of artificial intelligence (a man-made consciousness). Regardless of the fact that Modern Revolution 4.0 is still in its infancy stage, we’re starting to observe huge advantages from AI. From the structure technique and creation floor to the product supply chain and organization. AI will undoubtedly change the way wherein we manufacture things and procedure materials for a very long time.

Here are the manners by which AI is changing and transforming the manufacturing industry:

AI in the Manufacturing Industry - How AI can transform the Manufacturing Industry
When talking about modern revolution 4.0, artificial intelligence tops the list, the impact of AI in the manufacturing industry is enormous.

1. Coordinated Automation

Artificial intelligence and robots together have changed large scale manufacturing landscape, and this is one of the areas where they have the best impact. Robots can keep repeating similar tasks over and over, without getting exhausted or extending the degree of error as time progresses – accordingly, they can offer elevated levels of value affirmation.

2. Nonstop Production

Robots don’t have comparative human obstacles that human masters have and can continue working for the same term of the night similarly as in the day. In view of this inconceivability, robots can develop the production generation capacities of the organizations, empowering them to scale up and produce excellent results.

3. More secure Environment for Production

Workplaces, especially in the manufacturing industry, are much of a hazardous environment to be in for human specialists. There can be no telling which gear may give issue at some point or another, or when a human slip-up will slither. With robots replacing humans, working environment mishaps and disasters will in like manner go down, since robots are not prepared for committing a comparative kind of errors, or even make them at a comparable scale. This alone is one of the transformative effects of AI in the manufacturing industry.

4. Better Opportunities for Humans

With AI in the manufacturing industry assuming control over the replaceable, low-capacity level of intakes from people will end up being dynamically drawn in to take up occupations that will have any sort of impact in their lives similarly as in their general environment. They can turn their focus to befuddled endeavors that require a mix of both IQ and EQ – something AI will be most likely not going to advance commendably.

5. Lower Cost of Operation

Regardless of the fact that the underlying capital speculation required to integrate AI into any part of the manufacturing business might be critical, it’s going to prompt a significant ROI inside the more drawn outrun. As its data processing power and innovative capabilities expand along the way, AI in manufacturing industry specialists will have the option to decide on a fast automated decision, acknowledge vaster adaptability, and encourage speedier and more profound product development. AI creators will have the choice to choose a speedier robotized choice, recognize vaster versatility, and support quicker and progressively significant item improvement.

This will, clearly, add to the residual income of the organization and at the same time decreases the working costs – considering that artificial intelligence in the manufacturing industry is one-time spending with dependable returns on investment.

Wrapping up that computerized reasoning, also known as AI, is a change in context—from a hard-coded, expensive, first-norms based, and unflinching responses for adaptable self-learning arrangements reliant on a great deal of data and AI calculations. Organizations that understood and have mastered the ability of artificial intelligence ahead of schedule, for instance, Google and Amazon, have far-out shadowed their competitors and grown exponentially, all things considered, on account of their superior capacity than expected and steadily conform to changing conditions and to make higher edges.

For organizations with uncertain controls and public financial statement pressures, the stakes and the open entryway cost of not modifying are high. AI producers with overwhelming resources that can’t examine, interpret, and use their own one of a kind machine-made data to improve execution by keeping an eye on the changing needs of customers and suppliers will quickly pass up their opponents or be acquired.

Luckily, process-industry plants are routinely getting and taking care of tremendous proportions of machine data that they can expeditiously mine to make proper calculations. This suggests in spite of the way that they may have fallen behind on the mechanical front, with given instructions from external specialists and between time outside resources as a framework, solid plants, and producers with overwhelming resources can quickly compensate for some recent setbacks.