Development of a structural framework to improve reconfigurable manufacturing system adoption in the manufacturing industry

灵活性(工程) 计算机科学 光学(聚焦) 工业工程 工程类 数学 统计 光学 物理
作者
Rajesh Pansare,Gunjan Yadav,Madhukar Nagare
出处
期刊:International Journal of Computer Integrated Manufacturing [Taylor & Francis]
卷期号:36 (3): 349-380 被引量:2
标识
DOI:10.1080/0951192x.2022.2090604
摘要

The Reconfigurable Manufacturing System (RMS) has drawn the interest of researchers and practitioners due to its ability to meet dynamic customer needs while also providing flexibility and productivity in manufacturing. To increase RMS adoption, it is necessary to identify Reconfigurable-Manufacturing-System-Enablers (RMSEs) and develop a structural framework to guide practitioners to focus at different stages of implementation. To identify RMSEs, an extensive literature review is conducted, and the structural framework is developed using hybrid Robust-Best-Worst-Method (RBWM)-Interpretive Structural Modelling-(ISM) method with the assistance of expert opinion. The interactions among the selected RMSEs are further investigated, and their driving-dependence power is computed using the fuzzy-MICMAC (cross-impact matrix multiplication applied to classification, abbreviated as MICMAC) method. The study’s findings clearly show that four RMSEs in the low-intensity cluster are excluded during initial framework development phase, while the remaining are utilised further for framework development to achieve better RMS implementation. The presented study has clear practical implications for both researchers and practitioners in the industry. This is a unique study that offers an integrated view of major RMSEs. The authors believe that the proposed structural framework will act as a roadmap for researchers working in the RMS domain and will assist in its adoption.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
不喜发布了新的文献求助10
1秒前
阳光发布了新的文献求助20
2秒前
2秒前
科研通AI6.2应助苍曦采纳,获得10
2秒前
专注元风发布了新的文献求助30
2秒前
3秒前
3秒前
4秒前
4秒前
lele完成签到,获得积分10
5秒前
欧阳辞发布了新的文献求助10
6秒前
勤恳寒凡发布了新的文献求助10
6秒前
快乐随心完成签到 ,获得积分10
7秒前
QLLW发布了新的文献求助10
7秒前
7秒前
gaofan发布了新的文献求助10
8秒前
8秒前
8秒前
Cisco发布了新的文献求助10
8秒前
jias发布了新的文献求助10
8秒前
9秒前
zxy发布了新的文献求助10
10秒前
zhouyz09发布了新的文献求助10
10秒前
11秒前
11秒前
12秒前
12秒前
KK发布了新的文献求助10
13秒前
13秒前
沉静的涔完成签到 ,获得积分10
14秒前
jias完成签到,获得积分10
14秒前
xiuxiu发布了新的文献求助10
14秒前
15秒前
MBM发布了新的文献求助10
15秒前
15秒前
Orange应助无情干饭崽采纳,获得10
16秒前
NexusExplorer应助xiongyu采纳,获得10
16秒前
王威发布了新的文献求助10
16秒前
QLLW发布了新的文献求助10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366146
求助须知:如何正确求助?哪些是违规求助? 8180048
关于积分的说明 17244231
捐赠科研通 5420897
什么是DOI,文献DOI怎么找? 2868258
邀请新用户注册赠送积分活动 1845394
关于科研通互助平台的介绍 1692891