An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely
used to solve flow-shop scheduling problems (FSPs), an important branch of production …

This article reviews the state of the art of prediction and optimization for sequence-driven
scheduling in job shop flexible manufacturing systems (JS-FMSs). The objectives of the …

Inspired by real-life applications, mainly in hand-intensive manufacturing, the incorporation
of learning effects into scheduling problems has garnered attention in recent years. This …

This paper considers the single machine scheduling problem with three different due dates
in which the actual processing time of the job is a simple deterioration function of the starting …

This paper considers a single-machine scheduling problem with past-sequence-dependent
delivery times and the truncated sum-of-processing-times-based learning effect. The goal is …

In this study, an Energy-Efficient Distributed Assembly Blocking FlowShoP (EEDABFSP) is
considered. An improved Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is …

With the development of globalized production, customer satisfaction has become a critical
concern for companies. Multi-agent models have gained attention, aiming to meet customer …

This paper provides an integrated model for a two-stage assembly flow shop scheduling
problem and distribution through vehicle routing in a soft time window. So, a mixed-integer …

Multi-product centralized delivery and kitting assembly present significant challenges to
hierarchical co-processing in multi-stage manufacturing systems. The combinations of …

This paper incorporates the preventive maintenance activities into the two-stage assembly
flow-shop scheduling problem, which has m machines at the production stage and an …