The Shift in Mining IT Strategy

August 12, 2024

The Shift in Mining IT Strategy

In the rapidly evolving mining industry, where efficiency, precision, and resilience are paramount, the role of Chief Information Officers (CIOs), Chief Procurement Officers (CPOs), and Chief Supply Chain Officers (CSCOs) has become increasingly critical. Historically, IT investments in the mining sector were predominantly driven by in-house solutions, customised to meet the unique demands of each operation. While these systems provided a degree of control and customisation, they often lacked the flexibility needed to adapt to rapid changes in technology and market conditions.

However, with the advent of low-code/no-code solutions, mining companies now have the opportunity to break free from the limitations of traditional IT investments. These innovative platforms enable the creation of highly customised applications with minimal coding, allowing for quicker deployment, easier integration, and more efficient operations. This shift presents a unique opportunity for mining companies to drive lasting competitive advantage through strategic investments in advanced planning systems, purchasing and inventory management systems, and workforce and labour planning tools.

Advanced Planning Systems: A Strategic Imperative

Advanced planning systems (APS) are essential for mining companies seeking to optimise their operations and maximise profitability. These systems offer a range of capabilities, from demand forecasting and production planning to supply chain optimisation and risk management. For CIOs, the strategic investment in APS can significantly enhance decision-making processes by providing real-time data and analytics that drive more informed and agile responses to market demands.

Demand Forecasting and Production Planning

Accurate demand forecasting and production planning are crucial in the mining industry, where market fluctuations can have significant impacts on profitability. APS allows mining companies to analyse historical data, market trends, and external factors to predict future demand more accurately. This predictive capability ensures that production levels are aligned with market needs, reducing the risk of overproduction or underproduction, both of which can lead to financial losses.

By integrating APS with other systems across the value chain, such as purchasing and inventory management systems, mining companies can create a more cohesive and responsive operation. For example, real-time demand data can trigger automatic adjustments in inventory levels, ensuring that materials and resources are available when needed without the need for manual intervention.

Supply Chain Optimisation and Risk Management

Supply chain disruptions are a significant risk in the mining industry, where delays or shortages can halt production and lead to substantial financial losses. Advanced planning systems provide the tools needed to optimise the supply chain by identifying potential bottlenecks and vulnerabilities before they become critical issues. By leveraging data from across the supply chain, APS can help mining companies create contingency plans, identify alternative suppliers, and optimise logistics to minimise the impact of disruptions.

Moreover, APS enables mining companies to take a more proactive approach to risk management by providing real-time visibility into the entire supply chain. This visibility allows for quicker identification of potential risks, such as geopolitical instability or supplier insolvency, and the development of strategies to mitigate these risks before they affect operations.

Purchasing and Inventory Management: Streamlining Operations

Effective purchasing and inventory management are critical components of any successful mining operation. Traditionally, these processes have been managed through in-house systems, which, while tailored to specific company needs, often lacked the scalability and flexibility required to adapt to changing market conditions. However, the rise of low-code/no-code solutions has transformed the way mining companies approach purchasing and inventory management, offering more agile and integrated systems that can significantly enhance operational efficiency.

Automating Procurement Processes

Procurement in the mining industry is a complex process, involving the sourcing of a wide range of materials and equipment from multiple suppliers across the globe. In-house systems, while customisable, often require significant manual intervention, leading to inefficiencies and increased costs. By contrast, modern purchasing and inventory management systems, built on low-code/no-code platforms, enable mining companies to automate many of these processes, reducing the time and resources required to manage procurement activities.

Automation not only streamlines procurement but also enhances accuracy and reduces the risk of errors. For example, automated purchase orders can be generated based on real-time inventory levels, ensuring that materials are ordered only when needed and reducing the risk of overstocking or stockouts. Additionally, these systems can be integrated with supplier management tools, allowing for better coordination with suppliers and more effective negotiation of contracts and terms.

Enhancing Inventory Visibility and Control

Inventory management is another area where mining companies can achieve significant efficiencies through strategic IT investments. Traditional in-house systems often provided limited visibility into inventory levels, leading to challenges in managing stock and ensuring that the right materials are available when needed. With the advent of advanced inventory management systems, mining companies can now gain real-time visibility into their inventory, enabling more accurate tracking and control.

These systems use sophisticated algorithms to optimise inventory levels, balancing the need to minimise carrying costs with the requirement to ensure that materials are available for production. By integrating inventory management with other systems, such as advanced planning and workforce management tools, mining companies can create a more cohesive and efficient operation that is better able to respond to changes in demand and production schedules.

Workforce and Labour Planning: Optimising Human Resources

Workforce and labour planning are critical components of any successful mining operation. The mining industry is characterised by its reliance on a highly skilled and specialised workforce, making it essential to have the right tools in place to manage labour effectively. Historically, workforce planning in the mining sector has been managed through in-house systems, which, while effective in some cases, often lacked the flexibility and scalability needed to adapt to changing workforce dynamics.

Forecasting Labour Demand and Optimising Workforce Composition

One of the key challenges in workforce planning is accurately forecasting labour demand. In the mining industry, where operations are often spread across multiple sites and involve a wide range of job roles, having the right number of workers with the right skills is critical to maintaining productivity and ensuring the safety of operations. Advanced workforce planning tools enable mining companies to analyse historical labour data, project future needs, and optimise workforce composition to meet those needs.

These tools can also be integrated with other systems, such as advanced planning and inventory management tools, to create a more comprehensive approach to workforce planning. For example, by aligning labour demand with production schedules, mining companies can ensure that they have the right number of workers on-site when they are needed, reducing downtime and increasing efficiency.

Managing Workforce Flexibility and Reducing Labour Costs

The ability to manage workforce flexibility is another key advantage of modern workforce planning tools. In an industry where demand can fluctuate rapidly, having the ability to scale the workforce up or down as needed is critical to maintaining profitability. Low-code/no-code platforms enable mining companies to create customised workforce management solutions that allow for greater flexibility in labour planning.

For example, these systems can be used to create dynamic rostering tools that automatically adjust schedules based on real-time data, ensuring that the right workers are in the right place at the right time. Additionally, by optimising workforce composition and reducing reliance on manual processes, these tools can help mining companies reduce labour costs and improve overall operational efficiency.

The Role of Low-Code/No-Code Solutions in Mining IT

The mining industry has traditionally relied on in-house IT solutions, developed and maintained by internal teams with deep knowledge of the specific needs and challenges of the operation. While these systems provided a high degree of customisation, they often lacked the flexibility needed to adapt to new technologies and changing market conditions. The rise of low-code/no-code solutions has transformed the IT landscape, offering mining companies a more agile and cost-effective alternative to traditional in-house development.

Accelerating Deployment and Reducing Costs

One of the key advantages of low-code/no-code solutions is their ability to accelerate the deployment of new systems. By enabling the rapid development of customised applications with minimal coding, these platforms allow mining companies to bring new tools and technologies online more quickly, reducing the time and costs associated with traditional development processes.

For CIOs, CPOs, and CSCOs, this ability to deploy new systems quickly is critical in an industry where the ability to respond to changes in the market can be a key competitive advantage. Additionally, by reducing the reliance on specialised development resources, low-code/no-code solutions can help mining companies reduce IT costs and free up resources for other strategic initiatives.

Enhancing Integration Across the Value Chain

Another significant advantage of low-code/no-code solutions is their ability to integrate effectively with existing systems and processes across the value chain. In the mining industry, where operations often involve multiple systems and stakeholders, having the ability to seamlessly integrate new tools with existing infrastructure is critical to maintaining efficiency and reducing the risk of disruptions.

Low-code/no-code platforms offer a high degree of flexibility in terms of integration, allowing mining companies to connect new applications with existing systems, such as advanced planning, purchasing, and workforce management tools. This ability to integrate across the value chain not only enhances operational efficiency but also enables more effective collaboration between different departments and stakeholders, driving a more cohesive and responsive organisation.

Building a Future-Ready Mining Operation

As the mining industry continues to evolve, the need for more agile, efficient, and integrated IT solutions will only become more critical. For CIOs, CPOs, and CSCOs, the strategic investment in advanced planning systems, purchasing and inventory management solutions, and workforce and labour planning tools offers a unique opportunity to drive lasting competitive advantage. By leveraging the power of low-code/no-code platforms, mining companies can create more flexible and scalable IT solutions that are better able to adapt to changing market conditions and technological advancements.

Moreover, by integrating these systems across the value chain, mining companies can create a more cohesive and efficient operation, better able to respond to the challenges and opportunities of the future. For those in leadership roles, the key to success will be the ability to embrace these new technologies and drive their adoption across the organisation, creating a more agile and responsive mining operation that is well-positioned for long-term success.

The Path to Competitive Advantage

The strategic investment in advanced planning systems, purchasing and inventory management solutions, and workforce and labour planning tools represents a significant opportunity for CIOs, CPOs, and CSCOs in the mining industry to drive lasting competitive advantage. By moving away from traditional in-house IT solutions and embracing the power of low-code/no-code platforms, mining companies can create more flexible, scalable, and integrated operations that are better able to respond to the challenges and opportunities of the future.

For those in leadership roles, the key to success will be the ability to recognise the potential of these new technologies and drive their adoption across the organisation. By doing so, mining companies can position themselves as leaders in the industry, well-equipped to navigate the complexities of the modern market and achieve long-term success.

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Harnessing Advanced Planning Systems like Kinaxis: Elevating Supply Chain Performance for Australian FMCG Companies

In this article, we will dive into how APS like Kinaxis can enhance supply chain performance for Australian FMCG companies, providing real-life case studies for context.

For Fast-Moving Consumer Goods (FMCG) companies operating in Australia's highly competitive marketplace, maintaining an efficient and robust supply chain is paramount. Advanced Planning Systems (APS), such as Kinaxis, can be transformative, improving supply chain performance by offering end-to-end visibility, advanced analytics, and collaborative planning capabilities. In this article, we will dive into how APS like Kinaxis can enhance supply chain performance for Australian FMCG companies, providing real-life case studies for context.

Kinaxis and Advanced Planning Systems (APS): A Brief Overview

Advanced Planning Systems are powerful tools designed to optimise supply chain performance. These systems provide detailed insights into supply chain operations, enabling businesses to make informed decisions and forecast future trends effectively.

One leading provider of APS solutions is Kinaxis. Their RapidResponse system offers real-time supply chain visibility, powerful analytics, scenario planning, and collaborative decision-making capabilities. With these features, FMCG businesses can respond more effectively to changes in the market, optimising both supply and demand.

Case Study: Enhancing Supply Chain Performance with Kinaxis

A great example of the power of Kinaxis is its implementation by an international FMCG company, Unilever. Unilever needed to improve the flexibility and agility of its supply chain to respond better to rapid changes in demand. By using Kinaxis RapidResponse, Unilever was able to consolidate data from various sources into a single platform, enabling real-time visibility of its global supply chain. This visibility allowed Unilever to respond more quickly to fluctuations in demand and reduce excess inventory, resulting in substantial cost savings.

Benefits of Kinaxis for Australian FMCG Companies

Improved Supply Chain Visibility

For FMCG companies, having a clear view of their supply chain is crucial. With APS like Kinaxis, companies can have real-time visibility of their supply chain operations. This visibility allows businesses to quickly identify bottlenecks, predict potential disruptions, and make quick, informed decisions.

Advanced Analytics

Kinaxis provides FMCG companies with advanced analytics capabilities. By leveraging machine learning and artificial intelligence, Kinaxis can help businesses accurately forecast demand, optimise inventory, and streamline supply chain operations.

Collaborative Planning

Kinaxis promotes collaborative planning, bringing together various stakeholders from sales, marketing, and supply chain teams. This collaboration results in a more coordinated approach to demand forecasting and inventory management, reducing costs, and improving customer service.

Scenario Planning

With the ability to model multiple scenarios, Kinaxis allows FMCG businesses to evaluate potential outcomes and make the best decisions. This capability is particularly beneficial in today's volatile market, where demand can fluctuate rapidly.

Advanced Planning Systems, like Kinaxis, are revolutionising supply chain management for FMCG companies in Australia. These systems enable businesses to navigate the complexities of the FMCG sector, offering real-time visibility, advanced analytics, and collaborative planning capabilities. As a result, businesses can optimise their supply chains, reduce costs, and ultimately, drive growth and profitability.

https://www.kinaxis.com/en/partners/trace

Contact us today, trace. your supply chain consulting partner.

Technology
June 26, 2023

Tactical Supply Chain Technology Solutions

How Australian businesses can pivot toward targeted, tactical solutions to deliver supply chain outcomes

Tactical Supply Chain Technology Solutions

In this interview, Tim Fagan talks with Mathew Tolley about how Australian businesses can pivot toward targeted, tactical solutions to deliver supply chain outcomes - where broader, more strategic technology tranformation is just not currently possible.

Whether it's smart Excel tools, low code or no code apps built on the Microsoft Power Platform, through to best-of breed solutions, our team has the expertise to help you implement the right technology solutions to support your supply chain.

Contact us today, trace. your supply chain consulting partner.

Technology
August 31, 2024

Reshaping Supply Chain Roles: The Impact of AI and Automation with Trace Consultants

Explore how AI and automation are reshaping roles within the supply chain, allowing human workers to focus on strategic decision-making, collaboration, and customer service. Learn how Trace Consultants can help your organisation navigate this transformation.

Reshaping Roles in the Supply Chain: Embracing the Future of Human-Machine Collaboration

As the integration of AI and automation continues to revolutionise the supply chain, the roles of human workers are evolving to meet new challenges and opportunities. The coexistence of humans and machines in the supply chain of the future necessitates a reimagining of roles, where technology enhances human capabilities, allowing workers to focus on strategic, value-adding activities. This article explores how various roles within the supply chain—planning, manufacturing, logistics, last mile delivery, and warehousing—will be reshaped in the era of AI and automation.

Planning: Elevating Strategic Decision-Making

In the future, supply chain planners will increasingly rely on AI to predict disruptions and identify optimal responses. AI-driven insights will allow planners to focus on longer-term strategies and managing alerts, rather than getting bogged down in day-to-day operational issues.

  • AI-Driven Insights: AI will enable planners to not only predict potential disruptions but also suggest the best course of action, allowing for a more proactive approach to supply chain management.
  • Focus on Strategy: With AI handling routine decisions, planners can concentrate on developing strategies that enhance supply chain resilience and responsiveness. The role will shift from a focus on forecast accuracy to one that measures success by the commercial impact and benefits generated for the business.

Impact on the Workforce:Planners will need to develop advanced skills in data analytics to interpret AI-driven insights and apply them to business decisions. This shift will require ongoing reskilling and upskilling to ensure planners are equipped to leverage AI effectively.

Manufacturing: Optimising Operations with Automation

Factory managers of the future will likely oversee operations enhanced by advanced automation and AI-driven bots. These managers will utilise simulations in virtual environments to test and refine production processes before implementing them in the real world.

  • Automation in Action: Managers will increasingly rely on AI and robotics to optimise production lines, reducing waste and improving efficiency. The use of simulations will allow them to test different production scenarios and select the most effective strategies.
  • Global Collaboration: The ability to collaborate with skilled teams around the world through virtual factories or warehouses will become more common, enabling faster and more informed decision-making.

Impact on the Workforce:The role of the factory manager will become more focused on overseeing automated processes and collaborating across geographies. This will require a blend of technical expertise and leadership skills to manage both human workers and automated systems effectively.

Logistics and Last Mile: Transforming Through Digital Technologies

Logistics roles, particularly in the last mile, are set to be transformed by the adoption of digital ledger technologies (DLTs) such as blockchain. These technologies will automate many of the traditionally manual tasks associated with managing supply chains, from customs and trade compliance to last mile delivery.

  • Blockchain for Automation: The digitisation of logistics processes through blockchain will streamline operations, reducing the need for manual oversight and enhancing the accuracy and security of supply chain transactions.
  • Evolving Customer Roles: As logistics becomes more automated, roles may shift towards customer service leadership, with last mile leaders acting as customer concierges. These individuals will ensure that customers receive their orders promptly and handle any issues that arise, providing a personalised touch in an increasingly automated world.

Impact on the Workforce:Workers in logistics and last mile roles will need to adapt to new technologies, focusing on customer relations and managing AI-driven logistics systems. This shift will require training in both technology and customer service to effectively manage the evolving demands of the role.

Warehousing: Collaborating with Robotics

The warehousing workforce of the future will be digitally fluent and focused on overseeing automated operations. Staff will work side-by-side with robots, relying on automation to handle unsafe, dirty, and repetitive tasks, allowing them to focus on higher-value activities.

  • Automation in Warehousing: Robots will take on tasks such as picking, packing, and sorting, with human workers overseeing these activities and ensuring that processes run smoothly. Automation will also enhance safety, reducing the risk of injury for warehouse workers.
  • Data-Driven Decisions: Managers will use data collected from connected sensors, IoT devices, and wearable technologies to drive efficiencies, improve safety, and optimise operations. This data will feed into the control tower, providing a macro view of warehouse performance.

Impact on the Workforce:Warehouse workers will need to develop digital literacy skills to manage and interact with automated systems. The focus will shift from manual labour to monitoring and optimising robotic operations, requiring ongoing training and development.

The Future of Work in Supply Chain

As AI and automation reshape the supply chain, human roles will evolve to focus on strategic decision-making, collaboration, and customer service. The integration of advanced technologies will require a new set of skills and competencies, with an emphasis on data analytics, digital literacy, and leadership. Trace Consultants can help organisations navigate this transition by providing the expertise needed to reskill the workforce, optimise human-machine collaboration, and ensure that automation enhances, rather than replaces, human capabilities.

For more information on how Trace Consultants can assist your organisation in reshaping roles for the future of supply chain management, reach out to their team of experts today.

Contact us today, trace. your supply chain and procurement consulting partner.