The role of people logistics in oil and gas projects

in Oil and Gas / by dnsadmin

Efficient and effective logistics is vital to large Oil & Gas projects – equipment must be transported to work sites and raw products need to be processed and then delivered to customers, often using multiple modes of transport in a complex supply chain. In addition to this complexity, another important part of the overall logistics problem is people logistics – How do we move personnel to and from a worksite both safely and efficiently?

Why should I invest in personnel?

Particularly in Australia, where many work sites exist in remote areas, it is not always feasible to relocate employees and their families to a town near the work site. As a result, many workforce personnel are employed on a fly-in fly-out (FIFO) or bus-in bus-out (BIBO) basis, where the employer is responsible for moving personnel to and from the work site.

A 2013 report from Ernst & Young indicated that human capital deficit is one of the top ten risks facing the global Oil & Gas industry, affirming that

as the sector develops technologically . . . companies that can retain and mobilize people will be able to sustain their competitive advantage.

Effective and efficient personnel mobilization is crucial to any significant oil and gas project. Research published in 2012 by the Australian Centre of Excellence for Local Government (ACELG) into the prevalence of FIFO in Australia predicts that percentage of Australian mining sector jobs filled by FIFO roles will only increase over the coming years.

Improper workforce utilisation increases susceptibility to many internal and external issues, such as: a high employee turnover, high ongoing operational costs to the business, and under- or over-allocation of staff to specific jobs.

Analytics to cut through complexity

People logistics for a large project requires the coordination of travel and accommodation for hundreds, sometimes thousands of people in various remote locations. As with traditional logistics, several crucial decisions have to be made including BIBO vs FIFO, choice of airports or bus routes and staff roster schedules. In addition to this complexity, working with personnel often requires much greater scrutiny – we don’t always require a minimal-cost solution – we need to balance cost, project risk, employee safety and employee satisfaction.

Trying to weigh up all these variables and make decisions in an intelligent way for all of the personnel involved in a project very quickly becomes complex. A 2014 interview by Mining Australia notes that “for many companies [workforce management] is man­ual, or only semi-automated, which increases the risk of error or processing in­efficiencies, increasing costs”. Managing a large workforce is difficult, and only with the right technology can companies provide efficient and effective workforce management.

Through analytics companies can cut through the complexity involved in workforce management. By considering specific variables and how they affect outcomes companies can make better decisions.

Analytics empowers organisations through quantitative justification so that decision makers can be certain that employees will be spending less time in transit, and working on the right jobs at the right times, with the right people.

Biarri and People Logistics

Biarri delivers consulting and SaaS solutions to provide the right technology to enable effective workforce management.

Biarri has a proven track record, delivering people logistics and FIFO solutions for Oil & Gas and Mining companies in Australia including Santos, BMA, and Arrow Energy.

To learn more about how Biarri can help your organisation benefit from analytics and optimisation for people logistics get in touch today!

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Submitted by NormanFen on Tue, 08/19/2025 - 12:44
The modern customer service landscape has evolved dramatically, with businesses continually turning to AI-powered contact center solutions to fulfill escalating customer expectations. Contemporary smart contact center platforms integrate innovative technology with human experience to deliver superior customer experiences while improving operational efficiency. Grasping AI-Powered Contact Centers An AI-powered contact center signifies a basic shift from traditional call center operations. These smart contact center platforms leverage intelligent learning customer support capabilities to systematize standard tasks, boost agent productivity, and offer tailored customer interactions across all contact points. The basis of any intelligent contact center solution centers on its ability to manage and examine massive amounts of customer data in immediately. 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AI systems track customer behavior patterns and can trigger outreach when likely issues are found. This approach often generates improved first-call resolution rates and higher total customer satisfaction optimization. Mood identification technology permits live monitoring of customer mood, facilitating supervisors to supply prompt support to both customers and agents when complex situations arise. This capability substantially increases service quality and agent performance. Operational Excellence and Productivity Quality Management and Standards compliance QA automation systems regularly track interactions against defined standards, providing quick feedback to agents and supervisors. These systems can discover training opportunities and regulatory concerns in real-time, ensuring reliable service delivery across all channels. Regulatory oversight capabilities built into AI contact centers help organizations maintain regulatory requirements across different industries. 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Submitted by NormanFen on Tue, 08/19/2025 - 12:51
The current customer service landscape has developed considerably, with businesses more frequently turning to AI-powered contact center solutions to fulfill growing customer expectations. Today's advanced contact center platforms merge innovative technology with human experience to supply superior customer experiences while enhancing operational efficiency. Understanding AI-Powered Contact Centers An AI-powered contact center constitutes a fundamental shift from conventional call center operations. These intelligent contact center platforms harness intelligent learning customer support capabilities to mechanize regular tasks, increase agent productivity, and provide customized customer interactions across all contact points. The foundation of any sophisticated contact center solution is based on its ability to manage and evaluate massive amounts of customer data in instantly. 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