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Journal ArticleDOI

Dynamic scheduling in flexible assembly system based on timed Petri nets model

TLDR
A scheduling model for optimal production sequencing in a flexible assembly system that is modeled using timed Petri nets and task scheduling is solved with a dynamic programming algorithm to minimize the completion time for a single product or a batch of products.
Abstract
This paper investigates a scheduling model for optimal production sequencing in a flexible assembly system. The system features a set of machines working together in the same workspace, with each machine performing a subset of operations. Three constraints are considered: (1) the precedence relation among the operations specified by the assembly tree; (2) working space that limits concurrent operations; and (3) the variation of process time. The objective is to find both a feasible assignment of operations to machines and schedule tasks in order to minimize the completion time for a single product or a batch of products. The assembly process is modeled using timed Petri nets and task scheduling is solved with a dynamic programming algorithm. The method calculates the time required precisely. A detailed case study is discussed to show the effectiveness of the model and algorithm.

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Citations
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Journal ArticleDOI

Dynamic scheduling in flexible job shop systems by considering simultaneously efficiency and stability

TL;DR: A meta-heuristic algorithm based on the genetic algorithm is developed for dynamic scheduling in flexible job shop and it is shown that the proposed algorithm is capable to achieve the optimal solutions for the small size problems and near optimal solution for the medium size problems.
Journal ArticleDOI

Current status of reconfigurable assembly systems

TL;DR: The objectives of this literature survey are to clarify the needs and drivers in developing reconfigurable assembly systems and understand the state of the art of R&D related to the studies on the critical issues.
Journal ArticleDOI

Trajectory generation for robotic assembly operations using learning by demonstration

TL;DR: This document proposes a methodology for the execution of parts assembly operations, using Learning by Demonstration techniques, such as TP-GMM (Task Parametrized Gaussian Mixture Model), and demonstrates that it is possible to use programming techniques, which are different from traditional methodology such as LbD, to obtain satisfactory results in trajectories generation for simple assembly operations.
Journal ArticleDOI

A Systematic Study of the Prediction Model for Operator-Induced Assembly Defects Based on Assembly Complexity Factors

TL;DR: In this paper, a defect-rate prediction model is derived from the study of two complexity factors, namely, the design-based assembly complexity factor and the process-based assembler complexity factor, which are defined according to the structure and production characteristics of the copier.
Journal ArticleDOI

Improving assembly precedence constraint generation by utilizing motion planning and part interaction clusters

TL;DR: This technique automatically finds, and clusters, parts that can mutually affect each other's accessibility, and hence may impose assembly constraints, which enables the generation of accurate precedence constraints without needing to examine all possible assembly sequences.
References
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Book

Modeling and Analysis of Manufacturing Systems

TL;DR: In this article, the authors present a case study of a general manufacturing system using simulation models, including assembly lines, transfer lines, and shop scheduling with many products in a flexible manufacturing system.
Journal ArticleDOI

Scheduling flexible manufacturing systems using Petri nets and heuristic search

TL;DR: Petri net modeling combined with heuristic search provides a new scheduling method for flexible manufacturing systems that can handle features such as routing flexibility, shared resources, lot sizes and concurrency.
Journal ArticleDOI

A genetic algorithm-based approach to flexible flow-line scheduling with variable lot sizes

TL;DR: This work presents a novel approach for solving two related problems-lot sizing and sequencing-concurrently using GAs by using a unified representation for the information about both the lot sizes and the sequence and enabling GAs to evolve the chromosome by replacing primitive genes with good building blocks.
Journal ArticleDOI

An integrated approach to disassembly planning and demanufacturing operation

TL;DR: The proposed methodology and algorithms are demonstrated through the disassembly of personal computers in an integrated flexible demanufacturing system and Scheduling Petri net is introduced to schedule the demanmanufacturing resources.
Proceedings ArticleDOI

Precedence knowledge in feature mating operation assembly planning

TL;DR: An efficient and complete symbolic representation has been developed to express the precedence knowledge clearly and precisely that can represent the assembly precedence knowledge as well as the disassembly precedence knowledge and these two forms of knowledge can be transformed from one to another.
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