This technology helps to automate shift scheduling and manpower allocation process to improve labour productivity. An effective manpower scheduling is crucial, yet many industrial practitioners are still executing the scheduling process manually. Manual scheduling consumes a significant amount of time. Even when the schedule has been planned, it does not necessarily guarantee the quality of the solution. On the other hand, the majority of commercial manpower scheduling software available in the market is not specifically customized according to the business unit’s unique requirements. This may cause frustration to some employers who are too much reliant on the software without understanding the underlying mechanisms behind it.
Manpower scheduling is a process of constructing a shift schedule and allocating manpower to the shift schedule, such that customer demands are satisfied. Efficient scheduling decision is crucial as allocating manpower excessively results in excess labour cost, while allocating less manpower than required results in lost sales, dissatisfied customers, or overstretched manpower.
The system is developed based on aggregated requirements from various companies in Singapore. It is implemented as a web-based system that will help users to automatically generate shift schedules and allocate manpower resources to reduce labour cost and maximize customer service level, without violating employee’s welfare.
The system consists of:
Key features include:
This technology is particularly relevant to service-related sectors, such as:
Manpower shortages due to slow growth of resident labour and recent tightening of foreign labour inflows have further increase the urgency for Singapore to improve labour productivity in order to sustain its economic growth. It has been observed that Singapore’s employment growth has been mainly contributed by the service industry for the past many years. Currently, more than 70% of Singapore's gross domestic product is provided by service industry, and they also account for approximately 70% of all employment.
Some of the expected productivity gains are: