In the last century, there was a general perception that scheduling theory was highly
irrelevant to scheduling practice. Many recent studies, however, have suggested that the …

This work proposes a general discrete-time simultaneous scheduling and dynamic
optimization (SSDO) formulation based on the state-task network (STN) representation. This …

Distributionally robust optimization has garnered significant attention for its effectiveness in
decision-making under uncertainty. However, employing this strategy faces hurdles posed …

Existing approaches for representing chemical production scheduling problems are problem-
class-specific and are limited in terms of the characteristics, constraints, and data that they …

Energy-efficient scheduling is an essential means of achieving sustainability in
manufacturing systems. This paper defines and addresses the problem of scheduling n jobs …

This study addresses a multi-product lot-sizing and scheduling problem with sequence-
dependent setup times, considering that the machining operations cause energy …

Nervousness-aware rescheduling is essential in maximizing the profitability and stability of
processes in manufacturing industries. It involves re-optimization to meet scheduling goals …

In this paper, we propose employing tightening constraints, based on known system
information, into discrete-time continuous production scheduling models to enhance their …

Plant-wide scheduling optimization of multi-grade PET production is of great significance for
increasing the economic benefits and market competitiveness of PET plants. However …

The scheduling of crude oil operations holds critical significance in the petrochemical
industry due to its profound influence on downstream unit operations and, consequently …