灵活性(工程)
生产力
可追溯性
制造工程
质量(理念)
先进制造业
生产(经济)
制造业
新兴技术
工程类
业务
产业组织
计算机科学
营销
经济
哲学
管理
软件工程
认识论
人工智能
宏观经济学
作者
Daisy Valle Enrique,Giuliano Almeida Marodin,Fernando Charrua-Santos,Alejandro Germán Frank
标识
DOI:10.1080/00207543.2022.2142689
摘要
Productivity, quality, and flexibility are key production targets pursued by companies that adopt Industry 4.0. However, it is unclear how Industry 4.0 technologies can help achieve these different and sometimes competing targets. This study investigates this relationship through a survey of 92 manufacturers. The study employs Exploratory Factor Analysis to define four main technology arrangements based on 18 Industry 4.0 technologies: Vertical Integration, Virtual Manufacturing, Advanced Manufacturing Processing Technologies, and Online Traceability. Then, independent samples tests were conducted to compare the implementation status of these arrangements when manufacturing flexibility, process quality, and productivity are (or are not) pursued as the main production targets. The results show that Vertical Integration is a general-purpose technology arrangement because it supports all targets. On the other hand, Virtual Manufacturing and Online Traceability are specific-purpose arrangements, adopted especially for flexibility and productivity targets, respectively. Advanced Manufacturing Processing Technologies, in turn, is an integrative-purpose technology arrangement since it is adopted when two competing targets are pursued: productivity and manufacturing flexibility. The study ends with a decision model to implement Industry 4.0 based on the production targets a company may pursue. It shows the interconnection and trade-offs between these production targets and the Industry 4.0 technologies adopted.
科研通智能强力驱动
Strongly Powered by AbleSci AI