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Article
Publication date: 2 April 2024

Yi Liu, Rui Ning, Mingxin Du, Shuanghe Yu and Yan Yan

The purpose of this paper is to propose an new online path planning method for porcine belly cutting. With the proliferation in demand for the automatic systems of pork…

Abstract

Purpose

The purpose of this paper is to propose an new online path planning method for porcine belly cutting. With the proliferation in demand for the automatic systems of pork production, the development of efficient and robust meat cutting algorithms are hot issues. The uncertain and dynamic nature of the online porcine belly cutting imposes a challenge for the robot to identify and cut efficiently and accurately. Based on the above challenges, an online porcine belly cutting method using 3D laser point cloud is proposed.

Design/methodology/approach

The robotic cutting system is composed of an industrial robotic manipulator, customized tools, a laser sensor and a PC.

Findings

Analysis of experimental results shows that by comparing with machine vision, laser sensor-based robot cutting has more advantages, and it can handle different carcass sizes.

Originality/value

An image pyramid method is used for dimensionality reduction of the 3D laser point cloud. From a detailed analysis of the outward and inward cutting errors, the outward cutting error is the limiting condition for reducing the segments by segmentation algorithm.

Details

Industrial Robot: the international journal of robotics research and application, vol. 51 no. 3
Type: Research Article
ISSN: 0143-991X

Keywords

Book part
Publication date: 15 September 2017

Chia-Jung Tu, Yu-Ping Huang and Tyrone T. Lin

This study focuses primarily on the business operating departments (hereinafter, DMUs) of a case telecom company (hereinafter, the Company) in the northern and eastern areas of…

Abstract

This study focuses primarily on the business operating departments (hereinafter, DMUs) of a case telecom company (hereinafter, the Company) in the northern and eastern areas of Taiwan. In 2007, the Company finished the first stage of its reorganization by consolidating 14 DMUs into 12. In 2011, the Company completed the second stage of its reorganization by consolidating the 12 remaining DMUs into 8. This study intends to explore the effects of each stage of the Company’s reorganization on the efficiency and ranking of the various DMUs. The results show that the DMUs became more efficient after each stage of the Company’s reorganization. Moreover, the efficiency and ranking of the new DMUs, A6, A7, and B7 increased post-consolidation. This suggests that both the first and second stages of the reorganization were necessary. The findings of this study could help the Company and other telecom companies to design strategies for the future consolidation of other units, and thereby maintain their competitiveness and continued growth.

Details

Advances in Pacific Basin Business Economics and Finance
Type: Book
ISBN: 978-1-78743-409-7

Keywords

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