In this paper, we propose heuristic approaches for solving master planning problems that
arise in semiconductor manufacturing networks. The considered problem consists of …

In this paper, we propose a deterministic mixed-integer programming model to schedule
weekly production quantities for semiconductor manufacturing in order to meet forecasted …

Production planning in the Semiconductor Industry (SI) has emerged as the most complex
process due to its process complexity, technological constraints and high-mix low-volume …

In this paper, we suggest a linear programming formulation that allows for solving volume
and capacity planning problems in semiconductor manufacturing systems. We assume a …

In the global, volatile semiconductor market classical capacity planning approaches need to
be improved to stay competitive. Resource bottlenecks constrain production, limit the …

We present a master planning problem that arises in semiconductor manufacturing. The
problem consists in determining appropriate wafer quantities for several products, facilities …

The mass production of integrated circuits is one of the most complex production processes
in existence. Research on master planning for complex job shops (which includes the …

This thesis deals with the dynamics of modifying supply contracts in semiconductor
manufacturing that arises at a mid-term production planning level ie, known as master …

The current work discusses the results obtained from the screening analysis using a model
that dynamically manages supply contract modifications. These changes are related to …

This dissertation focuses on the application of real options analysis to system capacity
planning under uncertainty. The study recognizes uncertainty arising from two main sources …