Results 21 to 30 of about 775,582 (229)
Guided Optimization for Image Processing Pipelines [PDF]
2021 IEEE Symposium on Visual Languages and Human-Centric
Computing (VL/HCC), 2021 Writing high-performance image processing code is challenging and labor-intensive. The Halide programming language simplifies this task by decoupling high-level algorithms from "schedules" which optimize their implementation. However, even with this abstraction, it is still challenging for Halide programmers to understand complicated scheduling ...
arxiv +1 more source
Dynamic hybrid simulation of batch processes driven by a scheduling module [PDF]
, 2011 Simulation is now a CAPE tool widely used by practicing engineers for process design and control. In particular, it allows various offline analyses to improve system performance such as productivity, energy efficiency, waste reduction, etc.
Fabre, Florian +3 more
core +3 more sources
Research on deep reinforcement learning based intelligent shop scheduling method
物联网学报, 2022 The unprecedented prosperity of the industrial internet of things (IIoT) has opened up a new path for the traditional industrial manufacturing model.Intelligent shop scheduling is one of the key technologies to achieve the overall control and flexible ...
Zihui LUO +4 more
doaj +2 more sources
PROOF OBLIGATIONS AS A SUPPORT TOOL FOR EFFICIENT PROCESS MANAGEMENT IN THE FIELD OF PRODUCTION PLANNING AND SCHEDULING [PDF]
Serbian Journal of Management, 2016 Production planning and scheduling is one of the most important business processes that significantly influence the performance of manufacturing companies. There are many information systems supporting production planning and scheduling and some of them
Denisa Hrušecká
doaj +1 more source
Journal of Civil Engineering and Management, 2022 Planning problems are particularly important for the production processes of precast reinforced concrete elements. Currently used modeling of these processes is based on the flow shop problem.
Michał Podolski
doaj +1 more source
Application of metaheuristics in multi-product polymer production scheduling: A case study
Systems and Soft Computing, 2023 Chemical manufacturers produce a range of polymer product families on a large scale within complex and dispersed manufacturing plants. These plants are connected through pipelines and are highly dependent on each other.
Marnus van Wyk, James Bekker
doaj
International Journal of Crowd Science, 2023 This paper presents the Smart Garment Ecosystem (SG-ECO) and enriches the garment customization production scheduling model theory. On the basis of SG-ECO, the author designs a regional collaborative production alliance (RCPA) based on the idea of ...
Zhishuo Liu, Simeng Lin, Han Li
doaj +1 more source
Towards Standardising Reinforcement Learning Approaches for Production Scheduling Problems [PDF]
Procedia CIRP 107 (2022): 1112-1119, 2021 Recent years have seen a rise in interest in terms of using machine learning, particularly reinforcement learning (RL), for production scheduling problems of varying degrees of complexity. The general approach is to break down the scheduling problem into a Markov Decision Process (MDP), whereupon a simulation implementing the MDP is used to train an RL
arxiv +1 more source
A Petri Nets-based Scheduling Methodology forMultipurpose Batch Plants. [PDF]
, 2005 This article presents an optimization methodology of batch production processes assembled by shared resources which rely on a mapping of state-events into time-events allowing in this way the straightforward use of a well consolidated scheduling policies
Benqlilou, Chouaib +2 more
core +1 more source
Collaborative production planning with BIM – Design, development and evaluation of a Virtual Production Planning system [PDF]
, 2021 Construction projects have for a long time been characterized by increased specialization, low productivity, and a fragmented information exchange culture, resulting in inefficient work processes, with time delays and budget overruns. Research within the
Viklund Tallgren, Mikael
core