Managing the variability of a logistics robotic system

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Kentaro Yoshimura , Yuta Yamauchi , Hideo Takahashi
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Abstract

This paper reports an industrial experience of managing the variability of a logistics robotic system. Logistics centers need to dispatch products rapidly and accurately from huge inventories in accordance with the daily flow of orders, and autonomous logistics robotic systems provide a solution that can handle a wide variety of products without relying on manual tasks. However, the development of such systems can be challenging due to the many different operating and product characteristics that must be considered. We have therefore developed a variability management approach that models the variability of robotic systems and the items to be handled in such a way that the software components can be reused and expanded across different products and environments. This paper presents the motivation, challenges, and benefits of applying the variability management approach to a logistics robotic system.

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来源期刊
Journal of Systems and Software
Journal of Systems and Software 工程技术-计算机:理论方法
CiteScore
8.60
自引率
5.70%
发文量
193
审稿时长
16 weeks
期刊介绍: The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.
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