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

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 제공하고 있다. 노바티스는 Kinaxis를 사용하여 엔드-투-엔드 공급망의 가시성을 확보하고 변화하는 시장 요구에 보다 신속하게 대응하며 재고관리를 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


이미지: 문구: 'Novartis AG selects Kinaxis Novartis aims to gain end-to-end supply chain visibility, respond more quickly to changing market demands, improve inventory management and drive down costs Read News KınaXıs'

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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Click here to send us your comments

 

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.

 



The most valuable inventory optimization solutions


How inventory optimization opens pathways to profitability

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10 best practices you should be doing now


1. SCM 컨트롤 타워를 만들어라. Establish a governing supply chain council.

2. SCM 기능 조직을 전사적으로 연계하고 적정한 인재를 배치하라. Properly align and staff the supply chain organization.

3. 기술이 당신의 회사에 기여하게 만들어라. Make technology work for you.

4. 주요 공급사와 연합하라. Establish alliances with key suppliers.

5. 전략적 구매 연합에 적극 참여하라. Engage in collaborative strategic sourcing.

6. TCO에 집중할. Focus on total cost ownership(TCO), not price.

7. 공급 계약관리 기능은 SCM 기능 범위에 포함하라. Put contracts under the supply chain function.

8. 회사 소유의 재고를 최적화하라. Optimize company-owned inventory.

9. 적정 수준의 위헙을 관리하라. Establish appropriate levels of control and minimize risk.

10. 친환경 정책과 사회적 책임을 신중히 검토하라. Take "green" initiatives and social responsibility seriously.


Reference: 10 best practices you should be doing now



TrinityRail forgoes operational forecasting with a sense and respond supply chain


Reference: kinaxis.com


Faced with increasingly complex manufacturing, extended backlogs and independent business cycles, global railcar provider TrinityRail struggled to overcome manual processes based on Excel, and demand forecasts that continually missed the mark. By implementing Kinaxis RapidResponse, TrinityRail was able to get rid of operational forecasting altogether, creating a truly responsive supply chain as a result. 


Reference: softwareadvice.com

Buyer's Guide

by Lisa Hedges,

Content Analyst 

Last Updated: September 26, 2017 


Pharmaceutical manufacturers must contend with the conflicting requirements for complying with regulations from up to a half dozen federal agencies—with the need to maintain security, particularly during the development and testing phases. And then they have to put out consistent, quality product at the end of the day. While large, multi-billion dollar firms dominate the headlines, there are still a large number of smaller firms that make either a single pharmaceutical, ingredients for other manufacturers or specialize in medications with expired patents.


What Is Pharmaceutical Manufacturing Software?

Three of the most critical features companies are looking for in their pharmaceutical manufacturers software are:


  • Inventory management: Since pharmaceutical ingredients and products are often controlled substances and must be secured, you can imagine the importance of a detailed inventory system for tracking these controlled substances. Substances used in the process also often have limited shelf lives. As such, they need to be rotated and used in a timely fashion.

 

  • Production management/quality assurance: Production management must include recipe scaling for different batch sizes. Batch tracking, again for both ingredients and products, is mandated as part of recall management.

 

  • Regulatory compliance: There’s a ton of regulatory compliance pharma manufacturers have to wade through. Not only must the shipping be documented, but disposal must be secure, documented and non-polluting. Even manufacturing start-up is regulated for some compounds. New and updated pharmaceutical manufacturing systems should support the FDA’s process analytical technology (PAT) initiative.

In addition to these three critical capabilities, most pharmaceutical management systems also offer some forms of fulfillment system that addresses both the security and shipping labeling aspects, both of which are stricter than general fulfillment systems.


Accounts receivable is standard except that the sums involved can be in the millions of dollars and for some products the customers must be positively identified. Payroll and personnel are again standard, as are general ledger and accounts payable.


If pharmaceutical manufacturing operations are part of a parent firm, they are likely to be using part of an organizational enterprise resource planning (ERP) system. Small and medium firms may use stand-alone accounting modules but are more likely to use manufacturing-specific systems. Most manufacturers use premises-based systems, but security is more of a driver than is cost.


Common Features of Pharmaceutical Manufacturing Software

Pharmaceutical manufacturers should examine the following functions while considering their unique requirements:


Formulation management and batch sizing    The system should include formulation management, including ingredient substitution and batch scaling. Advanced systems can size batches to quantities of ingredients in stock. The system should provide for formulations of different strengths.


Available to promise, capable to promise    Available to promise (ATP) and capable to promise (CTP) are measures of manufacturing capacity. The system should calculate the ATP and CTP for any stock item, accounting for ingredients on hand and any work in process.


Lot tracing and recall management    Each lot must be identified and tracked. The ingredients of each batch must be tied to their individual batch number as well.


Recall management    Recalls are initiated for two reasons. First, a problem in the process causes a product to become tainted or contaminated. Second, an ingredient is tainted or contaminated. In either case, the system needs to identify all of the affected batches and the customers that received those batches.


Hazard Analysis Critical Control Points (HACCP) compliance    The system should support reporting for Hazard Analysis Critical Control Points (HACCP), in accordance with HACCP Principle 7: “Establish record-keeping and documentation procedures.”


FDA compliance    The FDA is empowered to regulate standard and homeopathic pharmaceuticals; the standards for labeling are similar but have unique differences. The system should correctly label standard and homeopathic products as necessary.


Drug Enforcement Agency (DEA) compliance    If the pharmaceutical manufacturer makes products or uses ingredients regulated under the Controlled Substances Act, it is subject to oversight from the DEA. The system should document compliance with the act and have access to a current database of controlled substances, regulated chemicals and analogues.


Environmental Protection Agency (EPA) compliance    If the pharmaceutical manufacturer makes or uses products listed under the Toxic Substance Control Act, the substance may be regulated by the EPA. The system should maintain all compliant records as well as preparing a pre-manufacture notice before a new compound is created.


Quality assurance    The system should support quality assurance (QA) testing. The protocols should be documented and implemented through the system. The QA system should randomly identify samples for testing and compare test results against norms. Advanced systems will feature dashboards that will alertadministrators to problems with quality.


Process analytical technology support    The system should identify critical process parameters and define their affect on critical quality attributes as part of quality assurance testing.


Code of Federal Regulations 21 Part 11 compliance    Strictly speaking, no software package can be 21 CFR Part 11 compliant because the rule stipulates administrative and procedural controls as well as technical implementation for electronic and hybrid record keeping. However, it can support 21 CFR Part 11 by completely implementing the technical requirements.


Current Good Manufacturing Practice (cGMP) compliance    cGMP compliance is required for many regulatory agencies at the state and federal levels as well as for insurance purposes. The system should produce required compliance reports.


Yield variances    The system should track actual yield versus expected yield for each batch. The system should report excessive variance based on user-defined thresholds and indicate if variances are so large that regulating agencies should be notified.


Packing & drumming    The inventory system must be able to value and price items in different container sizes. It must also identify or generate suitable labels for containers.


Inventory storage planning    Some pharmaceuticals require a specific storage environment. The inventory system and receiving systems should notify workers about any special requirements.


Expiration tracking    Both pharmaceutical ingredients and pharmaceutical products can have limited shelf lives. The system needs to track expired and close-to-end-of-life inventory.


Shipping    Many pharmaceuticals have restrictions on shipping either via USPS or common carrier. In some cases, the contents of a package may not be listed on outside labeling. The system should identify any special requirements and produce appropriate shipping labels.

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