نتایج جستجو برای: flexible flow shop jaya algorithm makespan meta heuristics teaching
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In shop scheduling, several applications exist where it is required that some components perform consecutively. We refer to no-idle schedules if machines are required to operate with no inserted idle time and no-wait schedules if tasks cannot wait between the end of an operation and the start of the following one. We consider here no-idle/no-wait shop scheduling problems with makespan as perfor...
The availability of the machine is one of the most important assumptions on many scheduling problems under any situation. However, in most actual life manufacturing settings a machine can be unavailable for many reasons, such as unforeseen scheduled preventive. In this paper, we study scheduling flowshops problem under ’condition based’ maintenance constraints to minimize the expected makespan ...
Scheduling is a combinatorial problem with important impact on both industry and commerce. If it is performed well it yields time and efficiency benefits and hence reduces costs. Genetic Algorithms have been applied to solve several types of scheduling problems; Flow Shop, Resource, Staff and Line Balancing have all been tackled. However Jobshop Scheduling is the most common problem of interest...
Flexible manufacturing Systems are automated manufacturing systems which have job shop flexibility and flow shop efficiency. One of the major concerns in Flexible Manufacturing System (FMS) is the minimization of the total flow of material through the system. Facility layout design deals with the arrangement of machines, in order to minimise the total flow of parts in the system. The commonly u...
We study the problem of minimizing the makespan in a two-stage assembly flow shop scheduling problem with uniform parallel machines. This problem is a generalization of the assembly flow shop problem with concurrent operations in the first stage and a single assembly operation in the second stage. We propose a heuristic with an absolute performance bound which becomes asymptotically optimal as ...
In simple flow shop problems, each machine operation center includes just one machine. If at least one machine center includes more than one machine, the scheduling problem becomes a flexible flow-shop problem. Recently, group scheduling has also been proposed and discussed. In the group scheduling, each job belongs to a specific group and all the jobs are processed group by group. In this pape...
Flexible job-shop scheduling problem (FJSP) is an extension of the classical job-shop scheduling problem. FJSP is NP-hard and mainly presents two difficulties. The first one is to assign each operation to a machine out of a set of capable machines, and the second one deals with sequencing the assigned operations on the machines. This paper proposes a parallel variable neighborhood search (PVNS)...
The assumption of classical shop scheduling problems that each job visits each machine only once (Baker, 1974) is often violated in practice. A new type of manufacturing shop, the reentrant shop has recently attracted attention. The basic characteristic of a re-entrant shop is that a job visits certain machines more than once. For example, in semiconductor manufacturing, consequently, each wafe...
This thesis deals mainly with makespan minimization in Flow-Shop and hybrid Flow-Shop scheduling problems where mixed blocking constraints are considered. In Flow-Shop scheduling problem, a set of N jobs must be executed on a set of M machines. All jobs require the same operation order that must be executed according to the same manufacturing process. Each machine can only execute one job at an...
The max / / C idle no F − problem is solved by a branch and bound algorithm, or a mixed integer programming solver. This problem is known to be NP-hard. The noidle flow-shop configuration, where machines work continuously without idle intervals is an interesting manufacturing environment in many industries. The idle characteristic is a very strong constraint and it affects seriously the value o...
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