Job scheduling using variable neighborhood search method

One of the key factors contributing to the difficulty in implementing advanced scheduling solutions in practice is the fit between commercially available scheduling systems and the actual scheduling requirement. Current research has shown the necessity for scheduling systems that concentrate on the actual work routine, scheduling environment features, and cognitive demands of the schedulers. Based on this experience, it has been determined that tailored automation of those operations can suffice because automating scheduling chores lowers the required resources and human error. The Multi-Period Technician Routing and Scheduling Problem have a new variation, which we discuss. It is characterized by a group of specialists with distinctive skills who are capable of carrying out a variety of geographically dispersed activities over a long horizon.