Many decisions in operations management (OM) belong to the class of Non-deterministic
Polynomial hard problems and thus heuristic search methods have been applied to improve …

This study presents a simulation optimization approach for a hybrid flow shop scheduling
problem in a real-world semiconductor back-end assembly facility. The complexity of the …

Preventive maintenance (PM) planning and production scheduling are among the most
important problems in the manufacturing industries. Researchers have begun to investigate …

Production Lead Time\mbi (LT) is the average time a part spends in the system, being
processed or waiting for processing. In systems with unlimited buffers,\mbi LT may be orders …

A genetic algorithm approach is used to solve a multi-objective discrete reliability
optimization problem in ak dissimilar-unit non-repairable cold-standby redundant system …

Performance measurement and assessment are fundamental to management planning and
control activities of complex systems such as conventional power plants. They have received …

Purpose–The use of AI for operations management, with its ability to evolve solutions,
handle uncertainty and perform optimisation continues to be a major field of research. The …

This paper deals with the optimisation of two-levels assembly system planning. This system
is composed of a single machine, inventories at levels 1 and 2 for stock kee** …

The time that a part may spend in a buffer between successive operations is limited in some
manufacturing processes. Parts that wait too long must be reworked or discarded due to the …

Risk management project is an important aspect of general project risk element transmission
theory. To solve the multi-objective time-cost trade-off problem considering the risk elements …