One of the most significant optimization issues facing a manufacturing company is flexible flow shop scheduling problem (FFSS). However, FFSS with uncertainty and energy-related elements has received little investigation. Additionally, in order to reduce overall waiting times earliness/tardiness issues, topic shared due dates researched. Using transmission line loadings bus voltage magnitude va...

This paper demonstrates solving the flexible flow shop scheduling problem (FFSP) with considering limited waiting time constraint, sequence dependent setup times and different ready time to minimize maximum completion time (i.e. makespan). Since the problem studied is NP-hard, metaheuristic algorithms are proper to solve this class of problems. Hence, in this paper, a novel imperialist competit...

The job shop scheduling problem is one of the most arduous combinatorial optimization problems. Flexible job shop scheduling problem (FJSP) is an important extension of the classical job shop scheduling problem, where the same operation could be processed on more than one machine. This paper proposed a new effective approach based on the hybridization of the particle swarm optimization (PSO) an...

This paper proposes a new mixed-integer model for the multi-skill resource-constrained project scheduling problem (MSRCPSP). The interactions between workers are represented as undirected networks. Therefore, for each required skill, an undirected network is formed which shows the relations of human resources. In this paper, community detection in networks is used to find the most compatible wo...

in this paper, we consider a flow shop scheduling problem with availability constraints (fsspac) for the objective of minimizing the makespan. in such a problem, machines are not continuously available for processing jobs due to preventive maintenance activities. we proposed a mixed-integer linear programming (milp) model for this problem which can generate non-permutation schedules. furthermor...

In this chapter the authors address a hybrid flow shop scheduling problem considering the minimization of the makespan in addition to the sum of earliness and tardiness penalties. This problem is proven to be NP-hard, and consequently the development of heuristic and meta-heuristic approaches to solve it is well justified. So, to deal with this problem, the authors propose a method which consis...

We propose an enhanced depthrst heuristic search algorithm to face the job shop scheduling problem with operators. This problem extends the classical job shop scheduling problem by considering a limited number of human operators that assist the processing of the operations. We considered total ow time minimization as objective function which makes the problem harder to solve and more interestin...

In this paper, we analyze the characteristics of the dynamic job shop scheduling problem when machine breakdown and new job arrivals occur. A hybrid approach involving neural networks(NNs) and geneticalgorithm(GA) is presented to solve the dynamic job shop scheduling problem as a static scheduling problem. The objective of this kind of job shop scheduling problem is minimizing the completion ti...

We present a scheduling problem of the flow-shop type. We introduce a transportation system: robot or conveyor. This transportation system is also involved in machine loading and unloading. The studied workshop consists of two machines and a conveyor that must process a set of tasks. Tasks having just been executed wait for the conveyor to be transported. The objective is to determine a feasibl...