This paper presents a mixed integer programming approach that integrates the tool assignment and scheduling problems arising in parallel machine environments. There are a number of operations to be processed on parallel machines. Each operation requires a set of tools; however, the number of available...
In order to obtain optimal or near-optimal solutions for the scheduling of realistic FMS, the following elements must be handled simultaneously: machine loading, part routing, tool planning and allocation, AGV loading and routing, and task timing decisions. Machine loading consists of the assignment...
transportation, workforce allocation, or others. The unrelated parallel machines scheduling problem (UPMSP), which is one of the various problem types that exist, found its application in many areas like manufacturing and distributed computing. Due to ...
This chapter will teach you the basics of Dask and lazy evaluation. At the end of this chapter, you'll be able to speed up almost any Python code by using parallel processing or multi-threading. You'll learn the difference between these two task scheduling methods and which one is better...
You can use the toolbox with Simulink® to run multiple simulations of a model in parallel. Programs and models can run in both interactive and batch modes.Statistics and Machine Learning Toolbox™ is a tool that provides functions and apps to describe, analyze, and model data. You can ...
For many engineers, the popularity of off- loading simulations to dedicated high-performance computing (HPC) resources leads to scheduling their jobs and then waiting for their turn in a long queue. Desktop Engineering Design and Simulate in Parallel 4 deskeng.com Faced with the imperfect ...
[47]. Also, the PSO method was successfully applied recently to many practical problems such as flow shop scheduling [48], successful development of electric vehicle charging strategies [49], emotion recognition [50], and robotics [51]. An extensive tutorial on PSO methods can be found in ...
In addition, 34 The Landscape of Parallel Computing Research: A View From Berkeley because the program is not over-specified, the system has quite a bit of freedom in mapping and scheduling that in theory can be used to optimize performance. Delivering on this promise is, however, still an ...
This paper addresses the problem of scheduling a set of jobs with tool requirements on identical parallel machines in a work center. This problem considers the following characteristics. First, each job may consist of an ordered set of operations due to reentrance to the work center. Moreover, ...
(2011) developed a polynomial time solution for the unrelated parallel machine scheduling problem with past-sequence-dependent setup times and learning effects with the objective of minimizing ∑Cj. They also addressed two special cases of the problem. Kuo, Hsu, and Yang (2011) addressed the same...