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 …

In this paper, we study the resolution of a permutation flow shop problem with sequence‐
independent setup time. The objective is to minimize the maximum of job completion time …

The study of the variant under machine unavailability and setup time constraints is of great
industrial importance. In this paper, we present an optimization of manufacturing flow shop …

In this work, we will propose a various of constructive heuristics and a mathematical
formulation for solving the permutation flow shop scheduling problem. The objective is the …

The distributed no-wait flow-shop manufacturing problem with sequence dependent setup
time (DNWFSMP-SDST) is a challenging optimization problem that arises in various …

In recent years, edge computing has emerged as a promising solution in the field of network
computing. This architecture ensures the availability of distributed computing resources …

The apparel industry is a class of textile industry. Generally, the production scheduling
problem in the apparel industry belongs to Flow Shop Scheduling Problems (FSSP). There …

In this paper, we study one of the frequently encountered issues in manufacturing industry,
that is the flow shop scheduling problem. We present a mixed-integer linear programming …

The apparel industry is a type of textile industry. One of scheduling problems found in the
apparel industry production can be classified as Flow Shop Scheduling Problems (FSSP) …

In this paper, we propose a set of local search meta-heuristics to solve the permutation flow
shop scheduling problem. The goal is to minimize the maximum completion time called …