Production scheduling and maintenance planning are two of the most important tasks in the
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …

Benders decomposition uses a strategy of``learning from one's mistakes.''The aim of this
paper is to extend this strategy to a much larger class of problems. The key is to generalize …

Nowadays, the make-to-order (MTO) production has gradually become a new manufacturing
trend, and the real-time arrival of orders has brought great challenges to order acceptance …

Abstract Effectively addressing the Order Acceptance and Production Planning (OAP)
problem is crucial for industrial robot manufacturers, particularly considering the rapid …

The synchronization of production capacity with demand plays a significant role in
maximizing profit. Firms attempt to align their activities, requiring that businesses be …

The outbreak of COVID-19 dramatically impacts the global economy. Mass COVID-19
vaccination is widely regarded as the most promising way to fight against the pandemic and …

We investigate the discrete parallel machine scheduling and location problem, which
consists of locating multiple machines to a set of candidate locations, assigning jobs from …

We study a generalized operating room planning and scheduling (GORPS) problem at the
Toronto General Hospital (TGH) in Ontario, Canada. GORPS allocates elective patients and …

This book is the first comprehensive guide to logic-based Benders decomposition (LBBD), a
general and versatile method for breaking large, complex optimization problems into …

To improve the profitability and customer satisfaction, in make-to-order environment,
manufacturers need to simultaneously consider which orders should be accepted and how …