The major theme of this thesis is the mathematical optimization modelling of the flexible job shop scheduling problem. This problem is present in the so-called multitask cell—a production cell at GKN Aerospace’s facility located in Trollhättan, Sweden—which has served as a case study during the work with this thesis. The thesis consists of two parts, of which the first considers the major theme...

The present research aims at predicting the required activities for preventive maintenance in terms of equipment optimal cost and reliability. The research sample includes all offshore drilling equipment of FATH 59 Derrick Site affiliated with National Iranian Drilling Company. Regarding the method, the research uses a field methodology and in terms of its objectives, it is classified as an app...

A multi-objective simulated annealing (MOSA) algorithm is described in this chapter to solve a real maintenance workforce scheduling problem (MWSP) aimed at simultaneously minimizing the workforce cost and maximizing the equipment availability. Heavy industry maintenance facilities at aircraft service centres, railroad yards and steel companies must contend with scheduling Preventive Maintenanc...

a r t i c l e i n f o For the 'under maintained' and 'over maintained' problems of traditional preventive maintenance, a new predictive maintenance policy is developed based on process data in this article to overcome these disadvantages. This predictive maintenance method utilizes results of probabilistic fault prediction, which reveals evolvement of the system's degradation for a gradually de...

Preventive maintenance scheduling and economic dispatch, have found prominent positions in the operation of power systems. A new heuristic algorithm based on the tabu search has been proposed as a solution method to the maintenance problem. This algorithm seeks to satisfy an objective function that can either maximize or minimize spinning reserve capacity of the power system over the entire pla...