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发布日期:2016-09-20 09:02:24 【关闭】

Honeywell Survey: Data analytics investment on the rise


A recent survey of manufacturing executives indicates many respondents (67 percent) are pressing ahead with plans to invest in data analytics even as they pare back spending in other areas to combat tough business conditions.


The reason: Many say they view data analytics – a key component of the Industrial Internet of Things (IIoT) – as a viable solution to a cycle of problems that lead to downtime and lost revenue.


More than 200 North American manufacturing executives took part in the survey titled “Data’s Big Impact on Manufacturing: A Study of Executive Opinions.” The survey was jointly conducted by Honeywell Process Solutions (HPS) and KRC Research Inc., from May 23 to June 8, 2016.

200多名北美制造领域高管参加了这个题为“数据对制造业的大影响:管理者观点研究”的调查,活动由霍尼韦尔过程解决方案和KRC Research公司联合开展,时间从2016年5月23日至6月8日。

“Executives need to keep their businesses running smoothly and safely, and they’re banking on IIoT technologies to help navigate challenges, even during cash-strapped times,” said Andrew Hird, vice president and general manager, HPS Digital Transformation. “The IIoT by Honeywell is the next step in that evolution.”

“管理者需要保持业务的平稳和安全运行,即便是在现金紧张时候,他们也投资工业物联网技术以应对挑战,” 霍尼韦尔过程控制部数字化转型业务副总裁兼总经理Andrew Hird说道。“霍尼韦尔工业物联网方案正是实现这个演变的下一步举措。”

Among other key findings of the survey:

•    Some companies are feeling pressure to continue working under the threats of unscheduled downtime and equipment breakdowns, which are viewed the most detrimental to maximizing revenue.

•    The majority of companies say they are already investing in data analytics technology.

•    More than a quarter said they don’t plan to invest in data analytics in the next year; of that group, not understanding the benefits of data analytics and inadequate resources are among the most cited reasons for this lack of investment.


•    一些公司面临在意外停机及设备故障的威胁下不得不继续运营的压力,而这些因素正是扩大收益的最大障碍。

•    大多数公司表示它们已经开始对数据分析技术进行投资。

•    超过25%的受访者表示在未来一年不打算对数据分析进行投资,他们给出的大部分原因,主要是不了解数据分析所带来的好处以及资源不足。

A Tough Cycle of Downtime


Unscheduled downtime was ranked as the top threat to maximizing revenue, but 42 percent of respondents admitted to running equipment harder than they should. When asked how often their companies experienced a list of issues in recent years, 71 percent of respondents said they experienced equipment breakdowns at least occasionally, while 64 percent said the same for unscheduled downtime.


“Running plant equipment harder than appropriate presents a host of issues ranging from equipment breakdowns to potential safety incidents,” said Hird. “Those issues inevitably lead to more downtime, which leads back to lost revenue. It’s easy to see how many companies feel they’re caught in a vicious cycle. Predictive analytics achieved through an effective solution can help companies break out of that cycle.”

Hird 表示:“工厂设备超负荷运行会带来设备故障、潜在安全事故等一系列问题。这些问题无可避免地会导致更多的停机时间,从而造成营收损失。很明显,很多企业觉得他们陷入了一个恶性循环。通过一个有效的解决方案来实现预测性分析可以帮助企业打破这种循环。”

Forty percent ranked unscheduled downtime as the biggest threat to maximizing revenue. Other threats included:

•    Supply chain management issues (39 percent)

•    Inadequate staffing (37 percent)

•    Off-spec products (36 percent)

•    Equipment breakdowns (32 percent)


•    供应链管理问题(39%)

•    人员配备不足(37%)

•    产品不合格(36%)

•    设备故障(32%)

Data Analytics as a Viable Solution


Data analytics is a key component of a successful IIoT implementation for manufacturers. Most respondents had favorable views of the benefits of data analytics as a solution. For example, the executives said they agreed big data analytics can reduce the occurences of:

•    Equipment breakdowns (70 percent)

•    Unscheduled downtime (68 percent)

•    Unscheduled maintenance (64 percent)

•    Supply chain management issues (60 percent)


•    设备故障(70%)

•    意外停机(68%)

•    非计划维护(64%)

•    供应链管理问题(60%)

Respondents said they believe data can enable well-informed decisions in real time (63 percent), limit waste (57 percent), and predict the risk of downtime (56 percent).


“It’s easy to put that puzzle together – these executives correctly believe data analytics can help them combat the biggest threat they see to business: unscheduled downtime,” Hird said. “This is why they feel it makes sense to continue investing.”

Hird 说道:“道理很简单,这些高管明白数据分析能够帮助他们应对业务运营所面临的头号威胁:意外停机。所以他们觉得有必要继续投资。”

Additionally, more than two-thirds of respondents (68 percent) said they are currently investing in data analytics, and 50 percent said they believe their companies are right on track in their use of data analytics. Fifteen percent said they believe their companies are ahead of the curve as it relates to data analytics usage.


Not Everyone is Sold


While the majority of respondents said they are already investing and/or planning to increase their investments in data analytics in the coming year, 32 percent said they are not currently investing in data analytics. Meanwhile, 33 percent said their companies are not planning to invest in data analytics in the next 12 months, or are unaware of any plans to do so.


Of those who currently have no plans to invest:

•    61 percent believe their organizations already have systems in place to ensure safety, yield and success

•    45 percent said their companies have seen some growth without data analytics

•    42 percent said they don’t fully understand the benefits of big data

•    35 percent believe people are overstating the benefits of big data


•    61%的人认为现有的架构系统能够确保安全性、保证产量,并获得成功

•    45%的人表示在没有数据分析的情况下他们公司依然实现了一定增长

•    42%的人表示他们对大数据的好处不甚了解

•    35%的人表示人们夸大了大数据所能带来的好处

Sixty-three percent of respondents who said they have no investment plans indicated they just don’t have the resources to appropriately do so, while 39 percent said they don’t have the right staff to make the most of data analytics.


“For some companies, hurdles remain before the IIoT can be fully adopted,” explained Hird. “Some don’t believe they need it while others say they lack the resources to do it right. The good news is that IIoT is something that doesn’t require a wholesale change – it can be phased and scaled depending on an individual company’s circumstances. This is precisely why Honeywell says IIoT represents an evolution, not a revolution.”

“对于一些公司来说,部署工业物联网仍然存在着一些障碍,” Hird 解释道。“有些认为他们并不需要,另外一些则表示缺少合适的资源。好消息就是,工业物联网并不需要企业大规模的改变——它可以根据各个公司的具体情况分阶 段实施和扩展。这也正是霍尼韦尔将工业物联网称为一个演变,而不是变革的原因。”