What is OptaPlanner?

OptaPlanner is a constraint solver. It optimizes business resource planning use cases, such as Vehicle RoutingEmployee RosteringCloud OptimizationTask Assignment, Job Scheduling, Bin Packing and many more. Every organization faces such scheduling puzzles: assign a limited set of constrained resources (employees, assets, time and money) to provide products or services. OptaPlanner delivers more efficient plans to improve service quality and reduce costs.

OptaPlanner is a lightweight, embeddable planning engine. It enables normal Java™ programmers to solve optimization problems efficiently. It is also compatible with other JVM languages (such as Kotlin and Scala). Constraints apply on plain domain objects and can reuse existing code. There’s no need to input them as mathematical equations. Under the hood, OptaPlanner combines sophisticated optimization heuristics and metaheuristics (such as Tabu Search, Simulated Annealing and Late Acceptance) with very efficient score calculation.

OptaPlanner is open source software, released under the Apache Software License. It is written in 100% pure Java™, runs on any JVM and is available in the Maven Central repository too.


Link : https://www.optaplanner.org/

'Links' 카테고리의 다른 글

Supply chain and Logistics  (0) 2017.09.26

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....

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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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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....

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

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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.

 

S&OP Maturity


Reference : https://www.supplychainbrief.com/frs/8148494/real-time-analytics-for-your-s-op-meetings-/download


Stage 1: React - at this stage S&OP is seen as a site supply planning process.

Executive leaders are usually disconnected from the process. Spreadsheets

and in-house systems commonly used. "Multiple versions

of the truth limit the organization's ability to extract end-to-end or

cross-functional business intelligence."


Stage 2: Anticipate - S&OP is typically used to develop a supply-centric

plan based on sales forecasts. Financial plans are independently developed

and compared. ERP is the primary support system despite lacking

demand/supply planning capability. Spreadsheets are heavily relied on

for volume-based demand/supply balancing and what-if scenario analyses.


Stage 3: Integrate - at this stage demand plans are more refined using

insight from end customers and translated into a plan that is later compared.

"Gap closure decision-making responsibility is at the profit and loss (P&L) level,

as in business, rather than at a functional level." Some BI capabilities typically

used, but spreadsheets are still heavily relied on for scenario analyses.


Stage 4: Collaborate - at this stage, the goal is creating a demand-driven,

profitable supply response across the extended supply chain, taking internal

and external (partner) data into account, to meet revenue projections.


Stage 5: Orchestrate - S&OP is fully driven by business strategy and

aims to reach horizontally and vertically aligned and synchronized

decisions across the network to create value. Advanced analytics is

necessary to support multiple time horizons and granularity, as well

as enhance decision-making

Gartner Announces Rankings of the 2018 Supply Chain Top 25

 Reference: https://www.gartner.com/newsroom/id/3875563

Unilever Defends Top Position, McDonald's Joins the "Masters" Category

Gartner, Inc. has released the results of its annual Supply Chain Top 25, identifying supply chain leaders and highlighting their best practices. Analysts announced the results at the Gartner Supply Chain Executive Conference, which is being held this week at the JW Marriott Desert Ridge Resort and Spa in Phoenix, AZ.

 

 

"2018 is the 14th consecutive year, we are publishing the Supply Chain Top 25 ranking," said Stan Aronow, research vice president at Gartner. "The ranking consists of an impressive group of leaders with valuable lessons to share, including three recent entrants from the life sciences, retail and consumer products sectors.

"Looking back at 2017, we experienced a year of healthy growth, despite heated trade rhetoric," said Mr. Aronow. "Now, in 2018, protectionism is spreading in response to announced moves by the U.S. and the U.K., among others. This has led many organizations to re-evaluate the location strategy for their supply networks. We also see strong growth constraining available supply in many geographies, increasing the cost of logistics and labor. The most advanced supply chains are proactively managing these risks and continue to post solid performances."

Unilever scored the top spot for the third year in a row, followed by Inditex, Cisco, Colgate-Palmolive and Intel (see Table 1). Home Depot rejoined the ranking after a three-year hiatus, while Novo Nordisk and Adidas joined the Supply Chain Top 25 for the first time.

"Unilever has a strong supply chain brand, which is reflected by its top-tier opinion poll score. It also received a perfect 10 for corporate social responsibility (CSR)," said Mr. Aronow. "The Dutch consumer products leader is making big bets in the digitization of its supply chain. A key initiative is robotic process automation (RPA) supporting the order-to-cash process, run from its regional service control towers. Its more than 20 'bots' have already automated hundreds of processes, with a roadmap for hundreds more."

Longtime supply chain leader and last year's runner-up McDonald's joined Apple, P&G and Amazon in qualifying for the "Masters" category, which Gartner introduced in 2015 to recognize sustained leadership over the last 10 years.

"The key to McDonald's success is skillful orchestration across a network of strategic suppliers, service providers and thousands of companies and franchise-owned stores worldwide," said Mr. Aronow. "The company is also experimenting with digital supply chain capabilities like augmented reality to manage storerooms, so staff can spend more time with the customer.

Along with the "Masters" category, the Supply Chain Top 25 continues to offer a platform for insights, learning, debate and contributions to the rising influence of supply chain practices on the global economy.

Table 1. The Gartner Supply Chain Top 25 for 2018

 

Rank

Company

Peer Opinion1
(184 voters)
(25%)

Gartner Opinion1
(42
voters)
(25%)

Three-
Year Weighted ROA2
(20%)

Inventory Turns3
(10%)

Three-
Year Weighted Revenue Growth4
(10%)

CSR Component Score5
(10%)

Composite Score6

1

Unilever

2,413

667

10.3%

7.5

2.6%

10.00

6.36

2

Inditex

1,254

345

16.5%

3.9

10.9%

10.00

4.85

3

Cisco Systems

785

541

7.9%

13.1

-0.4%

10.00

4.41

4

Colgate-Palmolive

898

324

17.6%

5.1

-2.2%

10.00

4.40

5

Intel

831

499

8.9%

3.6

4.8%

10.00

4.36

6

Nike

1,349

270

17.4%

3.8

6.8%

6.00

4.25

7

Nestlé

1,326

426

6.4%

4.8

-0.2%

10.00

4.21

8

PepsiCo

1,094

391

7.3%

8.8

-0,6%

10.00

3.99

9

H&M

760

193

18.1%

2.8

7.8%

10.00

3.96

10

Starbucks

1,040

186

20.4%

11.8

9.2%

4.00

3.85

11

3M

783

198

14.0%

4.1

1.4%

10.00

3.56

12

Schneider Electric

737

410

4.8%

5.2

-0.5%

10.00

3.55

13

Novo Nordisk

121

49

37.9%

1.2

5.3%

10.00

3.37

14

HP Inc.

390

354

7.3%

8.4

0.2%

10.00

3.30

15

L’Oréal

999

210

9.6%

2.9

4.6%

8.00

3.26

16

Diageo

651

227

9.2%

1.0

7.6%

10.00

3.25

17

Samsung Electronics

907

117

10.7%

14.6

9.8%

9.00

3.22

18

Johnson & Johnson

880

322

6.2%

2.7

2.8%

6.00

3.08

19

BASF

470

281

6.9%

4.4

-0.5%

10.00

3.02

20

Walmart

1,416

256

6.2%

8.3

1.6%

3.00

2.98

21

Kimberly-Clark

619

133

13.6%

6.7

-1.6%

8.00

2.96

22

The Coca Cola Co.

1,558

221

4.6%

4.8

-10.1%

4.00

2.87

23

Home Depot

431

78

18.6%

5.1

6.7%

5.00

2.81

24

Adidas

821

115

6.8%

2.9

13.5%

7.00

2.58

25

BMW

679

118

4.1%

4.2

6.0%

10.00

2.45

Notes: 
1. Gartner Opinion and Peer Opinion: Based on each panel's forced-rank ordering against the definition of "DDVN orchestrator."
2. ROA: (2017 net income/2017 total assets)*50% + (2016 net income/2016 total assets)*30% + (2015 net income/2015 total assets)*20%.
3. Inventory Turns: 2017 cost of goods sold/2017 quarterly average inventory.
4. Revenue Growth: (Change in revenue 2017-2016)*50% + (change in revenue 2016-2015)*30% + (change in revenue 2015-2014)*20%.
5. CSR Component Score: Index of third-party corporate social responsibility measures of commitment, transparency and performance.
6. Composite Score: (Peer Opinion*25%) + (Gartner Research Opinion*25%) + (ROA*20%) + (Inventory Turns*10%) + (Revenue Growth*10%) + (CSR Component Score*10%).
2017 data used where available. Where unavailable, latest available full-year data used. All raw data normalized to a 10-point scale prior to composite calculation. "Ranks" for tied composite scores are determined using next decimal point comparison.
Source: Gartner (May 2018)

Three key trends stand out this year for supply chain leaders that are accelerating their capabilities, separating them further from the rest of the pack. 

Focus on Customer Experience

Gartner defines the customer experience (CX) as the customer's perceptions and related feelings caused by the one-off and cumulative effect of interactions with a supplier's employees, channels, systems and products. Companies recognize that their customers are heavily influenced by their supply chain experience— a late delivery disappoints, an expedited delivery delights.

"Many leading supply chains are using digital connections with customers to better understand their use of products, predict future demand and more quickly respond to issues, even before they appear," said Mr. Aronow.

Scaling Digital Supply Chain Capabilities

After a first round of experiments, leading companies are scaling the most viable digital supply chain solutions in factories, warehouses and corporate back offices. While automation is most common in manufacturing and logistics, there has also been an explosion in digital customer service. This includes RPA in the order-to-cash cycle and the use of trained artificial intelligence (AI) customer service chatbotsthat customers may mistake for a human, due to their use of natural language.

 

Moving to Circular Supply Chain Designs

Leading companies have changed their mindset when it comes to environmental sustainability. Advanced supply chains now take a life cycle-based approach to understand the total impact of products and operations across the value chain.

 

"There are many reasons why companies are pursuing these so-called 'circular economy' strategies," said Mr. Aronow. "We often see an altruistic desire to do what's best for the environment and society, combined with a commercial desire for continued differentiation in competitive markets. As a result, some companies are now recycling and repurposing old parts in new products and extending the life cycle of existing equipment, as part of broader circular business strategies."

Gartner clients can read more in "The Gartner Supply Chain Top 25 for 2018."

 

About the Gartner Supply Chain Top 25
The Supply Chain Top 25 rankings comprise two main components: business performance and opinion. Business performance in the form of public financial and CSR data provides a view into how companies have performed in the past, while the opinion component offers an eye to future potential and reflects leadership in the supply chain community. These two components are combined into a total composite score.

 

Gartner analysts derive a master list of companies from a combination of the Fortune Global 500 and the Forbes Global 2000. In an effort to maintain the list of companies evaluated at a manageable level, a general annual revenue threshold of $12 billion has been applied.

About Gartner Supply Chain Executive Conference
Gartner analysts are providing additional analysis and information on supply chain trends at the Gartner Supply Chain Executive Conferences taking place through today in Phoenix and September 23-25 in London. Follow news and updates from the events on social media using #GartnerSCC.

Contacts
About Gartner

Gartner, Inc. (NYSE: IT), is the world's leading research and advisory company and a member of the S&P 500. We equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities and build the successful organizations of tomorrow.

Our unmatched combination of expert-led, practitioner-sourced and data-driven research steers clients toward the right decisions on the issues that matter most. We're trusted as an objective resource and critical partner by more than 15,000 organizations in more than 100 countries—across all major functions, in every industry and enterprise size.

To learn more about how we help decision makers fuel the future of business, visit www.gartner.com.




Webinar: Solving complex DC-to-store distribution challenges


Not all solutions are made equal. That adage holds true when it comes to route optimization solutions. Rigid solutions are destined to fail. However, it is possible to improve efficiency without compromising customer satisfaction. The trick here is not to measure your business according to KPIs, but to manage your business towards those indicators.

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Reference: supplychaintoday.com


CEO advice from the leaders of Alibaba, Amazon, Apple, Tesla, Walmart…


An assortment of CEO advice from top executives.  Here are some of the CEOs sharing great advice: Elon Musk (CEO of Tesla, SpaceX), Tim Cook (Apple CEO), Jeff Bezos (Amazon CEO), Ingvar Kamprad (founder of IKEA)…


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.




Reference: SBS CNBC


글로벌 기업들이 헬스케어 산업에 뛰어 들면서 이 산업 분야의 공급망 관리도 한층 더 중요해 질 것으로 전망된다.

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