Reference: Bell Flight의 RapidResponse 적용 사례

 

긴 제조 리드타임, 깊은 BOM 레벨 및 제품 복잡성은 항공우주 및 방위 산업 공급망의 전형적인 특성으로 간주되어 왔습니다. 그러나 코로나 사태로 인해 조직은 훨씬 더 많은 스트레스를 받고 오래동안 지속되어온 비효율적인 프로세스를 재검토하고 있습니다. 이는 산업 부문 전반에 걸친 더딘 회복과 함께 조직이 원활하게 운영되기까지 시간이 걸릴 수 있음을 의미합니다.

지난 1년 동안 눈에 띄게 성장한 항공우주 및 방산 분야의 리더는 Bell입니다. 창립 이후 85년간 사업을 이어온 Bell은 급변하는 글로벌 환경에서 적응하기 어려운 오래된 시스템과 수동 프로세스를 처리하고 있었습니다. Bell은 시장의 변화에 ​​대응하기 위해  더 좋은 양질의 계획을 세우고 신속하게 실행하는 데 도움이 되는 솔루션을 찾아야 했습니다. 이를 통해 풍부한 데이터를 통해 다양한 시나리오를 실행하고 작업하여 가장 정확성을 제공하고 복잡성을 해결할 수 있는 솔루션을 찾고 있었습니다. Bell은 Kinaxis에서 그 솔루션을 찾았습니다.

Bell의 자재 관리 담당 부사장인 Michael Loeffler는 "Kinaxis 및 RapidResponse®를 구현한 이후로 계획 프로세스를 간소화하고 공급망에 대한 더 깊은 통찰력을 얻었으며 비즈니스 민첩성을 개선했습니다."강력한 계획 도구와 풍부한 정보를 통해 의사 결정 속도와 품질을 개선했습니다."

Bell은 S&OP 프로세스를 RapidResponse로 이전하여 데이터 집계 프로세스를 단순화하고 시나리오 분석 기반으로 협업 프로세스를 계선할 수 있었습니다. 이 새로운 속도 덕분에 Bell은 연간 S&OP 프로세스에서 월간 주기로 전환할 수 있었습니다. 더 빠른 계획 주기는 계획의 지연 시간을 줄이고 예측 정확도를 높이고 리드 타임을 줄였으며 조직 전체에 더 많은 민첩성을 부여했습니다.

Bell은 이 프로젝트의 결과로 "Supply and Demand Chain Executive’s Top Supply Chain Projects of 2021" 최고 공급망 프로젝트로 선정되었습니다. 아래 웨비나를 통해 Bell의 디지털 혁신 여정과 Bell과 Kinaxis의 파트너십을 통해 성공적인 비즈니스 의사결정을 지원하는 솔구션 구축 방법에 대해 확인하시기 바랍니다.

 

Webinar: Taking Flight in a Turbulent Supply Chain with Bell Flight

Reference: Bell Flight의 RapidResponse 적용 사례

 

긴 제조 리드타임, 깊은 BOM 레벨 및 제품 복잡성은 항공우주 및 방위 산업 공급망의 전형적인 특성으로 간주되어 왔습니다. 그러나 코로나 사태로 인해 조직은 훨씬 더 많은 스트레스를 받고 오래동안 지속되어온 비효율적인 프로세스를 재검토하고 있습니다. 이는 산업 부문 전반에 걸친 더딘 회복과 함께 조직이 원활하게 운영되기까지 시간이 걸릴 수 있음을 의미합니다.

 

지난 1년 동안 눈에 띄게 성장한 항공우주 및 방산 분야의 리더는 Bell입니다. 창립 이후 85년간 사업을 이어온 Bell은 급변하는 글로벌 환경에서 적응하기 어려운 오래된 시스템과 수동 프로세스를 처리하고 있었습니다. Bell은 시장의 변화에 ​​대응하기 위해 더 좋은 양질의 계획을 세우고 신속하게 실행하는 데 도움이 되는 솔루션을 찾아야 했습니다. 이를 통해 풍부한 데이터를 통해 다양한 시나리오를 실행하고 작업하여 가장 정확성을 제공하고 복잡성을 해결할 수 있는 솔루션을 찾고 있었습니다. Bell은 Kinaxis에서 그 솔루션을 찾았습니다.

 

Bell의 자재 관리 담당 부사장인 Michael Loeffler는 "Kinaxis 및 RapidResponse®를 구현한 이후로 계획 프로세스를 간소화하고 공급망에 대한 더 깊은 통찰력을 얻었으며 비즈니스 민첩성을 개선했습니다."강력한 계획 도구와 풍부한 정보를 통해 의사 결정 속도와 품질을 개선했습니다."

Bell은 S&OP 프로세스를 RapidResponse로 이전하여 데이터 집계 프로세스를 단순화하고 시나리오 분석 기반으로 협업 프로세스를 계선할 수 있었습니다. 이 새로운 속도 덕분에 Bell은 연간 S&OP 프로세스에서 월간 주기로 전환할 수 있었습니다. 더 빠른 계획 주기는 계획의 지연 시간을 줄이고 예측 정확도를 높이고 리드 타임을 줄였으며 조직 전체에 더 많은 민첩성을 부여했습니다.

 

Bell은 이 프로젝트의 결과로 "Supply and Demand Chain Executive’s Top Supply Chain Projects of 2021" 최고 공급망 프로젝트로 선정되었습니다. 아래 웨비나를 통해 Bell의 디지털 혁신 여정과 Bell과 Kinaxis의 파트너십을 통해 성공적인 비즈니스 의사결정을 지원하는 솔구션 구축 방법에 대해 확인하시기 바랍니다.

 

Reference: Taking Flight in a Turbulent Supply Chain with Bell Flight

 

Bell Helicopter: Taking flight in a turbulent supply chain

Supply chain disruptions, including COVID-19, grounded plans for the aerospace industry. For Bell, primary sources of revenue shifted from aircraft programs to sustainment and performance-based logistics. Learn how Bell integrated finance, programs and ope

content.kinaxis.com

 

Ai and humans: Planning supply chains together


인공지능의 시대가 되었습니다.  AI는 공급망 계획에 어떤 영향을 미치게 될까요? 인공지능과 첨단기술들이 세계를 지배하게 되면서 인간은 신기술 무대의 배경으로 밀려나게 될까요?

어쩌면 그렇게 될지도 모릅니다. 아니면 다른 모습으로 전개될 수도 있지 않을까요?

주문형 웹 세미나를 통해 더 많은 것을 배우십시오.


Artificial intelligence is here to stay. How will it impact supply chain planning? Will humans be swept to the curb while AI and other technologies take over the world?

Yes, no, maybe?

Tune into our on-demand webinar to learn more.

Speakers:
Doug Henschen, VP and Principal Analyst, Constellation Research
Harish Iyer, VP, Industry & Solutions Marketing, Kinaxis 





Kinaxis가 글로벌 제약 회사의 기술운영 혁신 가속화를 위해 선정되었다. 글로벌 의약품 회사인 노바티스(Novartis)는 엔드-투-엔드 가시성, 보다 빠른 대응력 및 양질의 의사 결정을 실현하기 위해 RapidResponse를 선정했다고 밝혔다.


실시간 공급계획 기능을 제공하는 디지털 공급체인관리 분야의 선두 업체인 Kinaxis® (TSX : KXS)는 스위스 기반의 제약 회사  노바티스(Novartis AG)가 Kinaxis RapidResponse®를 자사의 글로벌 TechOps 조직을위한 차세대 공급망계획 시스템으로 채택했으며, 이는 광범위한 공급망 혁신 전략의 일환으로 추진되고 있다고 밝혔다.


노바티스 제품은 수천 개의 공급 업체를 포함하고 전세계 대부분의 국가와 연결된 공급망을 통해 매년 전 세계적으로 10억 명의 고객들에게 서비스를 제공한 한다. 노바티스는 Kinaxis를 사용하여 엔드-투-엔드 공급망의 가시성을 확보하고 변화하는 시장 요구에 보다 신속하게 대응하며 재고 관리를 개선하고 비용을 절감하는 것을 목표로 하고 있다. 이후에는 노바티스의 모든 부서에서 계획 표준화를 추진하고 고급 분석 기능을 사용하여 비즈니스 계획의 복잡성을 체계적으로 관리하게 된다.


https://www.kinaxis.com/en/news/press-releases/2019/kinaxis-selected-accelerate-technical-operation-transformation-major

최근에는 지진, 태풍 및 산불이 더 빈번하게 일어나고 있으며, 강도가 높아지고 있습니다. 

그러나 귀사의 공급망은 어떠한 자연 재해도 성공적으로 극복할 수 있어야 모든 고객 수요를 충족할 수 있습니다. 

이처럼 안정적이고 유연한 공급망을 구축하기 위한 방법은 다음과 같습니다.


최근의 보고서인 '폭풍이오고 있습니다 : 당신의 공급망은 자연 재해 상황을 대비하고 있습니까?'를 다운로드하십시오. 자연 재해를 극복하기 위해 공급망을 성공적으로 관리하여 가동 중단 시간을 최소화하고 가장 까다로운 조건에도 불구하고 고객 만족을 극대화하고 매출을 유지하는 방법에 대해 알아보십시오.


Keysight Technologies가 Kinaxis®를 사용하여 어떻게 캘리포니아 산불을 극복하고 성공적인 매출 신장을 달성했는지를 발견하게됩니다.



Earthquakes, hurricanes and wildfires. If they all seem to be happening more frequently, and with more intensity, you're not wrong. 

 

That's why when it comes to your supply chain, you need to be able to successfully navigate through whatever Mother Nature throws at you to ensure you meet every customer commitment. Here's how you can start. 


Download our latest paper, 'A Storm is coming: Is your supply chain prepared for the next natural disaster?' to learn how you can successfully manage your supply chain through natural disasters to minimize downtime, ensure customer satisfaction and sustain revenue despite the harshest conditions. 


You'll also discover how Keysight Technologies successfully fought through raging California wildfires using Kinaxis® to achieve their highest-ever revenue growth. 





Distribution of omnichannel services offered by grocery retailers in the United States in 2018



Reference : http://www.scdigest.com/firstthoughts/17-02-24-1.php?cid=11998

Supply Chain News: The Six Use Cases of Distributed Order Management


DOM is Perhaps the Most Interesting Supply Chain Related Software Application There is Right now - and Increasingly One of the Most Important

Distributed Order Management or DOM is perhaps the most interesting supply chain related software application there is right now - and increasingly one of the most important.

I was around at its inception, as a supply chain software analyst in the late 1990s. The first I heard of DOM - and don't know that was the name it went by at the time - was from an Indian software company called Yantra, which was then primarily known for trying to become a major player in the Warehouse Management Systems market.

In the very early days of ecommerce, Yantra's DOM was positioned as a tool to connect ecommerce websites with suppliers. The idea was in part that the ecom sites might actually carry no inventory at all, simply providing commerce functions, and thus (greatly simplifying) a system was needed to confirm inventory availability from suppliers and send them orders for drop shipping to the end consumer.

Gilmore Says....

http://www.scdigest.com/images/quote_start.gif

DOM is becoming one of the hearts of integrated planning and execution - the other being systems supporting/driving the S&OP process - and it would be good for many of you get up to speed.

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What do you say?

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Click here to send us your comments

 

A bit later, i2 Technologies also developed a DOM product, though I am unsure how that developed. But for a long while, Yantra and i2 were the only DOM games in town. Ultimately, Yantra was acquired by Sterling Commerce, which was then acquired by IBM. And in fact, IBM's current DOM has its roots in that original Yantra solution.

As for i2, I think its interest in DOM faded when the dot com bubble burst, then it ran into financial difficulties in the mid-2000s before it was finally acquired by JDA. I believe, as with a number of i2 products back then, its DOM simply faded away. JDA now partners with IBM on DOM.

So, what is a Distributed Order Management system? That, it is clear, depends in large part whom you ask.

DOM is often described as providing order "orchestration." Again, what does that mean? My take is that it means DOM makes intelligent decisions about order execution, based on a variety of factors and checks, and then automates the delivery of that order (of multiple types) to the appropriate point or node for completion, without need for manual reviews or other processes.

So, you may say, that sounds like what we have always called an Order Management System (OMS) - what's the deal?

Well, there is currently some level of overlap between DOM and OMS - and I expect that overlap to grow. But there are important differences between DOM and OMS, as illustrated below:

 

Traditional Order Management Systems (OMS)

Disributed Order Management (DOM) Systems

Focus: Order Processing

Focus: Orchestration and Fulfillment

Order Entry

Optimal Sourcing Logic

Line Item Management

Inventory Visibility across the Network

Inventory Allocation

Supplier Integration

Pricing

Process Automation

Promotions

Multi-Node Inventory Allocation

Credit Checks

Available- to-Promise

Credit Card Processing

Drop Shipping Automation


Here is a rather detailed but more complete definition: A Distributed Order Management system serves as a powerful hub that enables Omnichannel commerce, integrates the extended supply chain, optimizes inbound and outbound order routing, provides real-time network inventory visibility, allocation and management, automates complex channel and customer requirements and maximizes profitability while meeting customer service commitments.
That's a mouthful, but DOM is in fact becoming something of a Swiss army knife for supply chain execution and planning.

DOM seemed to almost disappear for a few years after the dot com bubble burst, but has seen tremendous resurgence in recent years as the engine to power Omnichannel commerce, especially in retail. But that Omnichannel opportunity is far from the only application for DOM technology.

Last year, I collaborated with Dinesh Dongre, VP of product strategy at Softeon, a provider of DOM as well as WMS and other supply chain software solutions, to identify six distinct use cases. I think that number might actually have expanded by one or two since then, but this week and next we will review the six we were able to define in some detail, starting with the most prominent:

DOM User Case Number 1 - Omnichannel Enablement and Optimization: As noted above, this is the use case that lately has really put DOM again on the map, with DOM almost becoming a "must have" for Omnichanel success in retail, consumer goods and beyond.

Omnichannel is creating whole new points of interaction (POIs), points of fulfillment (POFs), such as retail stores, and point of return (PORs). How do all the these POIs, POFs, and PORs get stitched together, and how do new process flows like order on-line, pick-up in store become technically enabled without major and expensive modifications to existing systems?

DOM can be the answer, connecting disparate systems and orchestrating the flow of orders between the myriad combinations of POIs, POFs, and PORs, often allowing existing systems to keep merrily going on doing what they are doing without realizing they are now part of the Omnichannel world.

But DOM generally does a lot more than just enabling these Omnichannel connections and processes. It optimizes fulfillment performance A DOM usually determines how to source an order in a way that meets customer service commitments at the lowest total cost or some other objective.

Generally at the heart of a DOM is a powerful, configurable rules engine that enables companies to define sourcing and fulfillment policies and logic in great detail. Those rules would by driven many factors and attributes, including inventory availability across the entire, extended network, rules around that inventory (such as minimum quantities say to be maintained in-store), customer service requirements, shipping costs, labor or other capacities and more.

Let's take a simple example: say a retailer has several DCs in different time zones across the US. As the day proceeds, even orders from the East coast may be routed by the DOM to DCs going further west in order to meet cutoff times for parcel carrier pick up, depending on service commitments to individual customers.

So a customer that chose free ground shipping with somewhat loose commitments for order delivery would be routed to the DC that would incur the lowest shipping costs, whereas the orders for customers paying for one or two-day delivery would have their sourcing points dynamically moved throughout the day to take advantage of later cutoff windows further west. Delivery commitments would be made with the knowledge of these rules and sourcing options.

There are many far more complex examples of such fulfillment logic - and my research indicates companies often start with somewhat basic rules, which they make more sophisticated and nuanced over time.

There is so much more. One fast growing consumer goods company (becoming a very well known brand) is primarily using DOM very similar to how it was originally envisioned by Yantra, supporting drop shipping processes (tracking all the way to the end customer) across hundreds of its vendors.

The benefits of this first DOM use case:

• Omnichannel enablement without cost/effort of modifying existing systems, and/or just speeding idea to enablement.
• Faster time to market with new channels/services and sourcing options
• Profit optimization though lowest cost fulfillment within defined constraints
• Multi-channel inventory visibility and control
• Automation of many existing manual processes relevant to order fulfillment

So there is the most prominent use case for DOM, but Dongre and I defined at least five more, including probably the next most common, DOM as an "order hub" to tie together disparate ERP/OMS networks - as well as several other use cases you might not be familiar with.

I'll be back with that in the next week or two.

DOM is becoming one of the hearts of integrated planning and execution - the other being systems supporting/driving the S&OP process - and it would be good for many of you get up to speed. Will have other some resources for you next time.

What do you see going on in the DOM market? Is it a must have in Omnichannel commerce? What would you add to our discussion on this use case? Let us know your thought at the Feedback section below.

 

Understanding Distributed Order Management in Supply Chain


DOM is Becoming the Epicenter of Supply Chain Execution

 

I am absolutely convinced that so-called Distributed Order Management (DOM) systems are and will have an important impact on supply chain processes and technology.

I wrote a column a few weeks ago in which I started this conversation and offered the first (and most common) "use case" for DOM technology. (See The Six Use Cases of Distributed Order Management.)

As I started that column, I recalled a presentation I had seen in the early 2000s from well-known supply chain consultant Dr. Chris Gopal, which wonderfully presented a vision for an integrated supply chain execution system, which connected order management, warehouse management, transportation management, and visibility.

Gilmore Says....

http://www.scdigest.com/images/quote_start.gif

I will say emphatically that DOM is well-suited to many of the current and emerging challenges in supply chain.

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What do you say?

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He was among the first to articulate such a concept and I wanted to use it to contrast then and now, but alas, Gopal was unable to track down that almost 20 year old powerpoint, so I will just make the key points.

Off and on, the notion that "the order is king" again gains some currency in supply chain thinking, and I believe obviously there is much truism in that. But of course there are many types of orders, such as make-to-stock models, make-to-order, configure-to-order, etc., each with its own requirements and nuances.

But now comes ecommerce and Omnichannel fulfillment, changing dramatically how not only retailers but many others must think about and process orders. Target stores, as just one example, famously in 2016 announced it was largely scrapping commercial order routing, inventory allocation, and replenishment applications for home grown systems that would more precisely meet its needs in an Omnichannel world.

Gopal’s vision almost 20 years ago was highly integrated systems, but if memory serves me right, somewhat linear in its thinking. What I see happening now is more non-linear, network-oriented thinking, with order management processes - and DOM technology for many - at the center of this web. The order is still king.

So, what is a Distributed Order Management system? That, it is clear, depends in large part whom you ask.

DOM is often described as providing order "orchestration." Again, what does that mean? My take is that it means DOM makes intelligent decisions about order execution, based on a variety of factors and checks, and then automates the delivery of that order (of multiple types) to the appropriate point or node for completion, without need for manual reviews or other processes.

As I noted in Part 1, last year I collaborated with Dinesh Dongre, VP of product strategy at Softeon, a provider of DOM as well as WMS and other supply chain software solutions, to identify six distinct use cases.

In that first column, I wound up having room to discuss just one of those use cases, the most common one: Omnichannel Enablement and Optimization.

In this mode, DOM connecting disparate systems and orchestrating the flow of orders between the myriad combinations of points of interaction (POIs), points of fulfillment (POFs), such as retail stores, and point of return (PORs), often allowing existing systems to keep merrily going on doing what they are doing without realizing they are now part of the Omnichannel world.

But DOM generally does a lot more than just enabling these Omnichannel connections and processes. It optimizes fulfillment performance. A DOM usually determines how to source an order in a way that meets customer service commitments at the lowest total cost or some other objective.

There is a lot more here, but those are the basics. Here are the other six use cases, in rough order of popularity:

Enterprise Order Hub Enablement: With the incredible pace of mergers acquisitions and divestures these days, many companies are stuck with disparate order management systems across business units and factory sites, creating something of a real mess. A popular use of DOM is to deploy the technology as a layer above all these individual traditional order management systems, creating what is called by some an "order hub."

The benefits? First, the ability to more efficiently process orders across a disparate OMS environment without the need to migrate all business/plants to a common OMS.

Second, improved customer service from the ability to take orders across business units/plants in one place, generating a single invoice. Third, improved visibility to order flow and fulfillment.

Inbound Inventory Deployment Optimization: Some DOM providers can in effect turn around the functionality related to outbound order sourcing optimization to do the same for where to position inbound receipts.

As goods are received, say at US ports, the DOM system makes automated decisions about where each of those SKUs and in what quantities should be sent (standard DCs, efulfillment DCs, 3rd party DCs, wholesalers, direct to stores, etc.), based on on-hand inventory levels, in-transit inventories, forecasts, targets, promotional plans and more.

As a result, DOM provides constant inventory rebalancing based on all these variables, maximizing inventory performance and automating what is frequently a manual process without DOM. This approach can be tied in with a "vendor portal" for suppliers to provide visibility to coming goods, print labels, create ASNs, etc.

Complex Customer Requirements Management: This one is a little difficult to explain, but in many sectors - more than many may realize - the "rules" for how orders must be processed differ substantially from customer to customer.

This is true obviously for many 3PLs, but can be the same for many regular companies as well.

How can all these myriad rules by encoded, and how can new customers be quickly brought on-board? Most companies spend many weeks and months with such on-boarding, because traditional order management systems are not really set up to handle a wide range of customer processing rules.

But DOM solutions are typically based on a powerful rules engine, which can be used to determine the optimal sourcing location, as described in the first use case, but which may also be used to configure and enforce specific customer order processing requirements. This is why DOM is overtaking traditional OMS is an increasingly dynamic world.

Multi-Echelon Order and Returns Management: Many sectors have field operations, most commonly in those with service repair requirements. These operations are generally characterized by three factors: (1) hundreds or thousands of field technicians; (2) multi-level inventory management, from master DCs to regional and local DCs to the service tech’s van.

In great summary, DOM can address each of these challenges, starting with providing real-time visibility to all that multi-level inventory, down to the tech’s van, and determining when a part is needed where the best place to source it is.

Think about it - why is this challenge in inventory visibility and sourcing all that different from an efulfillment sourcing problem? It isn’t, and that is why DOM can play a key role, including reversing the logic and determining where to send returned parts for restocking, repair or disposal.

Field Channel Order Management and Visibility: This is certainly the least common of the six DOM use cases, and is related to companies that have perhaps a network of company owned and independent distributors.

DOM can as usual provide benefits by routing inbound orders to the right channel/location based on pre-determined business rules and what inventory is where. It can also increase sales by locating and transferring needed inventory across the network - a process that is often handled manually and poorly today across independent distributors.

In some scenarios in this use case, DOM can help increase sales and reduce inventory by adding forecasting/replenishment extensions to the DOM, as DOM again rebalances inventories and optimizes order flow across the dealer network.

So there admittedly in rather shot gun fashion are the six use cases for Distributed Order Management, though that number will certainly expand a bit over time. I do not believe anyone else has laid this all out for DOM, which is usually discussed only in an ecommerce context.

But I will say emphatically that DOM is well-suited to many of the current and emerging challenges in supply chain, and will for many become the technology epicenter for supply chain execution.

 



Reference: IBM Offering Information


The supply chain is experiencing a period of significant change. Changing business and customer requirements are putting new and greater pressures on the business, and emerging technologies are offering intriguing ways of working. Indeed, digital transformation is poised to change the supply chain more profoundly than any other functional area and more dramatically than at any point in its history. In the context of the challenges facing supply chains, both now and into the future, it becomes clear that the old ways of working will not suffice and that even best-in-class performance today is unlikely to be good enough in the future. It is the view of IDC that the supply chain must become a "thinking" supply chain, one that is intimately connected to data sources such as social sentiment and the IoT, enabled with comprehensive and fast analytics, openly collaborative through cloud-based commerce networks, conscious of cyberthreats, and cognitively interwoven. 

제약 산업의 공급망 관리 : 사노피(Sanofi Genzyme)의 공급망 혁신 사례

제약 산업의 정부관련 규제 및 오랜 시간이 소요되는 공급망 리드타임 때문에 구매에서 판매 단계까지의 End-to-End Supply Visibility를 혁신 해야 했습니다. 관련하여 수요관리 및 통계예측, 실시간 공급 계획 수립, 유통관리 등 총체적으로 연계된 솔루션을 구축했습니다. 또한 기술적인 부문 이외에도 내부 비지니스 프로세스 혁신과 최고 경영자에 제공하는 Business Analytics 정보도 구축했습니다. 이러한 횡적, 종적 내부 혁신을 위해 연도별로 혁신 로드맵을 수립하여 추진하였습니다.




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