Management Paper: Workforce optimization – The key to keeping your company’s employees, customers, and shareholders happy

As everybody knows, a company is only as good as its people. This saying holds true throughout the business world, including the supply chain domain.

Employees are companies’ most valuable (and expensive) resource – as they play a central role in determining each businesses’ levels of productivity, delivery performance, and profitability.

Employees can either be a driver of strategic strength or a source of soaring costs – and this depends on how efficiently the workforce is utilized.

In this management paper, we discuss how workforce optimization can enable companies to maximize productivity and employee and customer satisfaction while minimizing overtime and operating costs. By optimizing their workforce planning and deployment, companies can keep their customers, employees, and shareholders happy.

Management Paper: Transforming Industry 4.0 challenges into opportunities with optimized planning and decision making

We highlight the main challenges that supply chain companies face in the Industry 4.0 era and reveal the critical capabilities that they need to succeed.

Webcast: How to assess your company’s decision process maturity

Over the past decade, supply chain and information technology organizations have invested extensively in data collection and storage systems and schemes and have made great strides in terms of their data maturity.

Webcast: 5 Key Capabilities Required For Successful Demand Planning

For manufacturers, being able to create demand plans that are dynamically integrated to supply plans is absolutely critical. Inaccurate demand forecasts can lead to disaster – resulting in poor inventory management and resource utilization, lower profits and levels of customer service and satisfaction, and skyrocketing costs.

Webcast: Optimization vs. heuristics - Which is the right approach for your business?

There are many algorithmic techniques – such as constraint programming, mathematical programming, metaheuristics, local search, machine learning algorithms and evolutionary algorithms like genetic algorithms and simulated annealing – that are used to solve supply chain planning and scheduling problems. These algorithms can be classified into two main categories: heuristics and optimization.