G&P 公司活动和新闻

项⽬案例: ⻋辆技术员和新能源汽⻋ – 电动汽⻋投产前的快速介⼊⽀持

发布者:Maria Holmes-Keeling

挑战

在即将投产电动汽⻋(EV)之前,⼀家汽⻋制造商迫切需要对其新 ⻋型进⾏返修,以满⾜其客⼾的交付期限。

如果没有快速有效的响应,初期客⼾的订单将被延迟,从⽽对⻋辆 制造商的声誉造成重⼤损害。

随着最后期限的临近,这⼀问题进⼀步加剧,因为该国缺乏具备必 要专业资质的⻋辆技术⼈员。

24 Dec 21

案例: 快速⽀持 – 快速且⾼质

发布者:Maria Holmes-Keeling

挑战

随着产品发布在即,⼀家海外汽⻋OEM迫切需要对其新⻋型进⾏ 改装,以满⾜客⼾交付期限的要求。

如果不能快速有效的响应,最初的客⼾订单将会延迟,从⽽对⻋ 辆制造商的声誉造成严重损害。

06 Dec 21

BLOG – BUILDING FOR SUCCESS

发布者:Maria Holmes-Keeling

Like most businesses in the UK and around the world, G&P has witnessed seismic changes to the business landscape.

Now we prepare for the future by ensuring a strong customer focus remains the priority.

23 Nov 21

案例: 内在的经验知识 – QTrak如何从内部经验中获益

发布者:Maria Holmes-Keeling

挑战

QTrak是G&P独特的基于⽹络的实时质量管理IT系统,完全⾃主 开发。⽆论是在哪个制造⾏业,都能在维持质量标准的过程中充 分满⾜G&P客⼾的不同需求。

这还包括考虑使⽤该系统的不同⼈员的范围,以及使⽤该系统的 各种操作环境。

真正了解客⼾⾯临的问题和难点,从OEM或Tier 1的⻆度与具有 管理内部知识和经验的服务⽅合作被证明是⾮常有益的。

19 Nov 21

New model launches must prepare against warranty claims

发布者:Maria Holmes-Keeling

– Historical new car warranty costs at highest during the 12 months after launch
– Pressure on cost-down in manufacturing can be at odds with maintaining quality
– Manufacturers can protect themselves by addressing quality issues at source

25 Oct 21

BLOG – Strong customer focus creates numerous benefits

发布者:Maria Holmes-Keeling

First impressions count

All business relationships have a starting point, so getting off on the right foot is paramount.

Reacting quickly to resolve quality issues in production is especially important and G&P is a market-leader in providing cost-effective quality management provision with highly-skilled personnel who can hit the ground running.

This means G&P’s customers have the confidence that, from the outset, G&P knows their issues and how to resolve them – rapidly and with minimum fuss.

Such a good start only leaves positive impressions, more often-than-not resulting in additional activity in the future.

21 Oct 21

项⽬案例: 信息技术集成 – 信息集成消除了⼈为错误

发布者:Maria Holmes-Keeling

挑战

准确的信息对于在整个⽣产过程中保持质量标准⾄关重要,据此做出可能⾄关重要的制造决策。

然⽽,当⼈为错误产⽣于信息数据⽅程式时,⽤⼿动输⼊来⽀持决策或解决问题的数据时(如序列号或运⾏⽇期),其准确性可能会受到影响。

此外,还存在⼈⼯输⼊或复制数据所需的成本和时间等其他问题。以及当信息输⼊到不同的IT系统或从不同的IT系统输⼊信息时,这种情况会变得更加复杂。

27 Sep 21

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