The growth of industrialization, which is forced to use non-renewable energy sources, leads
to an increase in environmental pollution. Therefore, it is necessary not only to reduce the …

Simulation Optimization (SO) techniques refer to a set of methods that have been applied to
stochastic optimization problems, structured so that the optimizer (s) are integrated with …

Cloud Manufacturing (CM) as a successful manufacturing business model and a major
driver of Industry 4.0 has attracted a lot of attention in recent years. CM idea aims to …

Successful capacity planning and production scheduling is built on the understanding of
market opportunities and the costs of capacity, production, sourcing, inventory, and …

Semiconductor industry has continuously migrated for advanced technology nodes with
capital intensive capacities to fulfil the demands and maintain competitive advantages …

In the context of balanced allocation of products from different warehouses to different
customer hubs, a company may have to take decision on the maximum number of customer …

Abstract Conventional Digital Twins (DTs) in smart manufacturing rely on complex and time-
intensive simulation models, hindering real-time DT-based decision-making. However, the …

Both high productivity of finished goods and new product development are important for
manufacturing firms to compete in a market successfully. High productivity is closely related …

This research explores how manufacturing overhead influences profit margins under
different capacity allocation policies in a build-to-order context. By applying a multi-period …

This paper addresses a Stochastic Flexible Job-Shop Scheduling Problem (SFJSSP) in the
context of semiconductor manufacturing. Semiconductor industry is among the most capital …