Assembly lines (conveyors) are traditional means of large-scale and mass-scale
productions. An assembly line balancing problem is needed for optimizing the assembly …

Manufacturing industry is experiencing a revolution in the creation and utilization of data, the
abundance of industrial data creates a need for data-driven techniques to implement real …

Robust optimization (RO) has been recognized as an effective means to deal with
unanticipated events in highly uncertain and risky environments. This paper systematically …

The scheduling of ship traffic in the port is an important operation that aims to improve the
navigation efficiency of the port, which is greatly affected by a variety of unpredictable …

The combinatorial optimization (CO) problems on the graph are the core and classic
problems in artificial intelligence (AI) and operations research (OR). For example, the …

This study presents a boxing match algorithm (BMA) as a new efficient meta-heuristic
method to solve numerical optimization and NP-hard problems, such as knapsack. The …

In today's competitive world, customers expect their demands to be met at the shortest
possible time, while manufacturers aspire to deliver the orders within a convenient time and …

The job-shop scheduling problem (JSSP) is encountered in several industries, including the
military where heat treatment is applied prior to the machining process in production. This …

The achievement of cloud environment is determined by the efficiency of its load balancing
with proper allocation of resources. The proactive forecasting of future workload …

In the semiconductor manufacturing industry, the Dynamic Flexible Job Shop Scheduling
Problem is regarded as one of the most complex and significant scheduling problems …