Companies can benefit from using Industry 4.0 tools in reverse logistics operations. Dev, Shankar and Swami (2020) point out that reverse logistics relies on inventory and production planning, additive manufacturing, well-coordinated transportation system and information transparency, and integration of Industry 4.0 could help companies to improve those operations. Radio-frequency identification (RFID) technology improves inventory and production planning in the reverse logistics system. Furthermore, cloud technology provides a single platform from which data and information may be exchanged across all organisations engaged in a supply chain. Specifically, real-time information ensures the availability of the appropriate method of transport for the timely delivery of green products.

The development of technology has led to the implementation of digital and intelligent solutions that have transformed the landscape of reverse logistics in three key areas: data, services and operations. The utilisation of Internet of things (IoT), smart devices, artificial intelligence (AI) and big data analytics has revealed the unprecedented value of data, allowing for more effective and timely planning of resources and operations. The implementation of a cloud-based, interactive and intelligent digital platform connects various service providers and customers, leading to optimal resource sharing and the creation of innovative services. The incorporation of Industry 4.0 principles into reverse logistics enables the utilisation of data and smart technologies to create innovative services and helps to achieve sustainable development, economic efficiency and environmental sustainability and fulfil social responsibility.

Agrawal et al. (2015) summarised reverse logistics processes as collection of used products or wastes, inspection and sorting, repairing, remanufacturing, recycling, reusing or final disposal after taking the decision. Industry 4.0 tools are enablers to make all these processes more sustainable and smarter.

The integration of Industry 4.0 technologies, such as automation, IoT and big data analytics, has the potential to significantly improve the management of oily waste in the oil and gas industry. One of the key benefits of Industry 4.0 software solutions is the automation of oily waste management processes. Automation can reduce the need for manual labour and minimise the risk of human error, which is particularly important in the handling of hazardous materials such as oily waste (Cheema, Hannan & Pires 2022). Automated systems can also improve the efficiency of oily waste management by reducing downtime and increasing productivity.

Industry 4.0 software solutions also allow for the collection, analysis and reporting of large amounts of data, and can therefore increase supply chain efficiency and contribute to overall improved business performance. This can provide organisations with valuable insights into the performance of oily waste management processes and identify areas for improvement. By making data-driven decisions, organisations can optimise their operations and reduce costs.

Garcia et al. (2022) highlighted that predictive maintenance is another key feature of Industry 4.0 software solutions that is particularly useful for appropriate maintenance to prevent significant losses of money and time, and managing oily waste in the oil and gas industry. Predictive maintenance uses machine learning and IoT technology to predict when equipment is likely to fail and schedule maintenance accordingly. This helps to reduce downtime and improve the efficiency of equipment, ultimately reducing the costs of operations.

Industry 4.0 software solutions also enable remote management and monitoring of facilities and operations (Mirani et al. 2022). This allows organisations to quickly identify and address any issues that arise, improving the overall efficiency and effectiveness of oily waste management operations.

In addition, Industry 4.0 software solutions are helpful in monitoring and reporting on compliance with regulatory requirements for oily waste management. This helps organisations to ensure compliance with local and international regulations and avoid penalties.

In conclusion, Industry 4.0 software solutions play a crucial role in managing oily waste in the oil and gas industry by providing a range of advanced technologies and capabilities that improve the efficiency, effectiveness and sustainability of oily waste management processes.

This article followed all ethical standards for research without direct contact with human or animal subjects.

In the oil and gas sector, the collection and transportation of oily waste is a crucial component of reverse logistics as it entails the safe and effective disposal of waste materials from drilling and production sites. Given that they enable businesses to track and monitor the flow of waste materials from the place of origin to the final destination, RFID and global positioning system (GPS) tracking systems are crucial tools for controlling the collection and transportation of oily waste (Namen et al. 2014).

Radio-frequency identification technology uses radio waves in a wireless system to identify and track goods, including waste materials. Radio-frequency identification tags attached to the waste containers may be scanned by RFID readers placed at various points along the transit route. This enables companies to track the location and transit of the waste goods in real time to guarantee compliance with regulations and minimise delays or misroutes (Hannan et al. 2011).

On the other hand, GPS tracking devices employ satellite signals to locate the waste cans. Real-time position information from GPS monitoring devices may be utilised to improve transportation routes and guarantee that waste products are delivered on schedule (Arebey et al. 2009).

Smart sensor technology may also be used to keep an eye on the state of waste during transit and guarantee that rules are being followed. Smart sensors may detect several characteristics, including temperature, pressure, and humidity, and communicate the information to a central monitoring system when they are attached to waste bins. This enables businesses to identify any possible issues, such as leaks or damage, with the waste containers and take immediate action to stop hazardous spills or other accidents (Xu & Yang 2022).

Table 1 presents software solutions that can be used in collection and transportation of oily waste. It includes information on the functionality, software names and descriptions of each technology.

The next step in the reverse logistics process for waste management is the treatment and processing of the waste. This involves the use of automated systems for sorting and separating different types of waste, as well as predictive maintenance software and machine learning algorithms (Agrawal, Singh & Murtaza 2015). These tools are essential for effectively and efficiently handling the different types of waste that are generated by the oil and gas industry and for ensuring compliance with regulations and environmental standards.

Advanced sensor technology is used by automated systems for sorting and separating various waste products, including oil, water and solids. This makes it possible to handle the waste effectively and efficiently, which can assist in lessening the overall amount of waste that has to be moved and disposed of (Gundupalli, Hait & Thakur 2017).

The equipment and machinery used in the waste treatment and processing process are monitored using predictive maintenance software, which may send out alerts for possible faults before they become serious issues (Herve, Moore & Rosner 2019). This increases the general effectiveness of the waste management process while lowering maintenance costs and downtime.

Large volumes of data created by the waste treatment and processing process are analysed using machine learning algorithms, which may spot patterns and trends that can assist to streamline the procedure and enhance overall performance (Chen 2022). They may also be used to forecast upcoming equipment failures and plan required maintenance, extending the life of the equipment.

Overall, the treatment and processing of oily waste is a crucial step in the reverse logistics process, and the use of these advanced tools and technologies can greatly improve the efficiency and effectiveness of this process, while also helping to minimise the environmental impact of the oil and gas industry.

Table 2 summarises software solutions for the treatment and processing of oily waste. Each software is described along with its functionality area and the benefits are also highlighted.

Recycling and disposal of oily waste is a crucial step in the reverse logistics process of managing and mitigating the environmental impact of industrial operations. Cheah et al. (2022) report that the proper disposal of oily waste involves a combination of remote monitoring systems, automated tracking systems and compliance with regulations. These tools are essential for ensuring that the waste is disposed of in a safe and responsible manner, and that the company remains compliant with relevant laws and regulations.

Remote monitoring systems allow real-time monitoring of waste disposal sites, providing valuable information on the status of the waste, as well as any potential issues that may arise (Joshi et al. 2022). Automated systems for managing and tracking the disposal of oily waste, such as SAP EHS, Enablon and Intelex, allow companies to easily monitor and report on their waste management activities and to demonstrate compliance with regulations.

These tools are important for ensuring that the disposal process is carried out in an efficient and effective manner and for minimising the environmental impact of the waste (Namoun et al. 2022). Furthermore, these tools can also help companies to reduce costs associated with waste management and disposal, as well as to improve their overall environmental performance.

Table 3 illustrates remote monitoring systems which can be used in recycling and disposal processes of oily waste. Software solutions are grouped for their functionality in the table, and description for each is presented.

In inventory management and tracking of oily waste, various tools are used to efficiently manage and track the movement and storage of oily waste. These include: software for inventory management, tracking and tracing of waste, and reporting and compliance management (Liwan, Kasim & Zainal 2013). These tools are crucial for ensuring compliance with regulations and proper handling and disposal of oily waste. They also assist in identifying areas for process improvement, reducing waste and minimising environmental impact. Real-time monitoring, automated data collection, and advanced analytics capabilities are also important features of inventory management and tracking software (Dev et al. 2020). These software solutions help organisations to make data-driven decisions and optimise their waste management processes.

Table 4 provides an overview of software applications for inventory management and tracking of oily waste.

Data analysis and reporting is a crucial step in the reverse logistics process for oily waste management. It involves using advanced software to analyse large amounts of data related to the collection, transportation and disposal of oily waste. This information is then used to identify patterns, trends and potential issues, and to make informed decisions about how to improve the overall efficiency and effectiveness of the waste management process (Vafeiadis et al. 2019).

One important aspect of data analysis in oily waste management is the use of big data analytics software. These tools are designed to process and analyse large sets of complex data in real time, providing valuable insights that can be used to optimise the waste management process. For example, big data analytics can be used to identify patterns in the data that indicate areas where waste is being generated in large quantities, or where collection and transportation routes are inefficient (Sun 2020).

Another important aspect of data analysis in oily waste management is the use of dashboard and visualisation tools. These tools allow users to view and interact with data in a graphical format, making it easier to understand and analyse the information. For example, dashboards can be used to display key metrics such as waste volumes, transportation routes, and compliance with regulations. This makes it easy to identify areas of concern and take action to address them (Sun et al. 2022).

Overall, data analysis and reporting are critical components of the reverse logistics process for oily waste management. By providing valuable insights into the collection, transportation and disposal of oily waste, it enables companies to improve the efficiency and effectiveness of their operations and ensure compliance with regulations.

Table 5 presents software applications for data analysis and reporting in the context of oily waste management.

An essential step in efficiently handling and disposing of oily waste materials is automating reverse logistics activities. Various technologies, including robotic process automation (RPA) and warehouse management systems (WMS), can be used to automate processes. Robotic process automation enables the automation of repetitive processes, which decreases the demand for manual labour and boosts productivity (Siderska 2021). Warehouse Management Systems can help track and manage waste products from the moment of collection through final disposal throughout the reverse logistics process. Additionally, including IoT technology can allow for real-time waste monitoring and tracking, giving crucial information for making decisions and adhering to rules (Sun et al. 2022). Automation of reverse logistics procedures can result in cost savings, higher efficiency and safety, and better regulatory compliance.

Table 6 highlights software solutions for the automation of reverse logistics processes for oily waste.

A key component of guaranteeing the efficient and successful operation of the oil and gas sector is the predictive maintenance and monitoring of equipment used in the treatment of oily waste. With the use of cutting-edge technology and processes, maintenance teams may employ predictive maintenance to schedule repairs and replacements before machinery and other equipment breaks down (Çinar et al. 2020). As a result, unplanned maintenance costs are reduced, downtime is reduced, and safety is enhanced.

Predictive maintenance and monitoring can assist to make sure that the machinery used during drilling operations in oil and gas industry is working properly and efficiently. This aids in lowering the possibility of equipment breakdown, spills and other dangers that might harm the environment and people’s health (Herve et al. 2019). The industry may enhance its sustainability practices and lessen the impact of its operations on the environment by employing predictive maintenance solutions, and increase efficiency of waste collection, transportation and storage in the context of managing oily waste. It is critical to select the appropriate technologies and systems for equipment used in the treatment of oily waste to perform successful predictive maintenance and monitoring.

In conclusion, guaranteeing the effectiveness and sustainability of operations in the oil and gas sector requires predictive maintenance and monitoring of the machinery employed in the treatment of oily waste. It is feasible to lessen the likelihood of equipment failure, save downtime, increase safety and lessen the impact of operations on the environment by employing cutting-edge technologies and procedures. The sector may advance its practices and emerge as a pioneer in sustainability and environmental stewardship with the correct tools and approaches.

Table 7 presents software solutions for predictive maintenance and monitoring of equipment used in oily waste management.

Managing the reverse logistics process of oily waste in the oil and gas sector requires careful supply chain management. In order to transfer commodities efficiently from the point of origin to the point of consumption, supply chain optimisation seeks to minimise costs, cut waste and increase efficiency (Xie & Chen 2022). The integration of several operations, including such as waste collection, transportation, storage, treatment and disposal, is a key component of supply chain optimisation in the context of reverse logistics for oily waste.

With the help of IoT, reverse logistics of oily waste would benefit from an effective supply chain optimisation strategy that took into account a number of variables, such as the type of waste produced, its volume, the operational environment’s physical and regulatory constraints, and the resources available for its management (Parry et al. 2016). It will be possible to create an optimised plan for the management of oily waste after a thorough analysis of these factors. This plan may include the use of specialised machinery, the implementation of effective transportation routes and technology-based solutions to monitor and manage the process in real time.

Additionally, the introduction of digital technologies like telematics and the IoT and the integration of information systems may greatly increase the supply chain’s visibility and transparency, giving important insights into its performance and possible bottlenecks (Sun et al. 2022). As a result, decision-making and continuous improvement may be approached more proactively and with more knowledge.

In conclusion, supply chain optimisation is an essential part of a successful reverse logistics plan for handling oily waste in the oil and gas sector. Organisations may save costs, increase efficiency and assure compliance with laws and industry standards by integrating diverse processes, utilising technology, and continually monitoring and upgrading the system.

Table 8 provides an overview of software solutions that support supply chain optimisation in the context of reverse logistics for oily waste management. It highlights various functionalities and corresponding software or tools that can help to enhance efficiency and effectiveness in the supply chain processes.

Utilising cutting-edge technology and software systems, oily waste facilities may be remotely managed and watched over. Real-time data and insights into the state and operations of the facilities are provided by these systems, facilitating effective management and decision-making (Slonecker et al. 2010). In order to ensure the secure and appropriate disposal of waste, the systems are furnished with cutting-edge sensors and algorithms that can track and monitor important parameters, including temperature, pressure and fluid levels.

The openness and accountability of oily waste facilities may be significantly increased by the deployment of remote management and monitoring technologies, which can also lower the risk of human mistake and accidents (Eso & Eseosa 2022). This can therefore result in improved waste management procedures, cheaper costs and an improvement in the sector’s overall sustainability.

The information produced by these systems may also be utilised to spot waste management patterns and trends, as well as chances for process optimisation and development (Sun et al. 2022). Having a deeper understanding of the dynamics of waste management will enable facilities to manage their waste streams more effectively.

Table 9 provides an overview of software applications that enable remote management and monitoring of oily waste facilities in the context of reverse logistics. These solutions allow organisations to remotely track, control and monitor the operations and conditions of the facilities, ensuring compliance with regulations and efficient management of the waste.

A key component of ensuring the ethical disposal and management of waste produced by the oil and gas sector is compliance and regulatory reporting for oily waste management. According to ‘POSOW, Oil Spill Waste Management Manual’ by Le Roux (2014), the reporting procedure entails keeping records of how oily waste is produced, gathered, transported, treated and disposed. The waste management process must be carried out in a way that is ecologically sustainable and complies with local, national and international legislation.

The reporting system must be able to trace waste creation, movement and disposal, including hazardous waste management. The systems also need to stop unlawful dumping and inappropriate disposal of the waste and make sure that it is disposed of in accordance with the rules (Namoun et al. 2022). This lessens the harm that greasy waste does to the environment and to people’s health. The reporting system encourages sustainable waste management techniques while assisting in lowering the environmental concerns connected to the treatment and disposal of oily waste.

Table 10 presents software applications that facilitate compliance and regulatory reporting in the context of oily waste management in reverse logistics. These solutions help organisations ensure adherence to environmental regulations, streamline reporting processes and maintain transparency in their waste management practices.

Considering the study’s findings, it becomes evident that the integration of software plays a crucial role in optimising reverse logistics processes for the effective management of oily waste in the oil and gas industry. These findings underscore the significance of leveraging advanced technologies to address the complex challenges associated with waste management. By incorporating industry-specific software, organisations can unlock a range of benefits, including enhanced tracking and monitoring capabilities, improved regulatory compliance, and real-time visibility for informed decision-making. Additionally, the utilisation of these technologies fosters increased efficiency throughout the reverse logistics process, leading to cost savings and improved sustainability outcomes. Thus, the integration of software should be considered a strategic imperative for organisations aiming to achieve optimal results in managing oily waste.