Future Factory: 새로운 기술들이 미래 제조업을 어떻게 변화 시킬것인가(4)창고 운용(AI/Robotics).운송수단과 공급망관리(Blockchain)

Future Factory: 새로운 기술들이 미래 제조업을 어떻게 변화 시킬것인가의 마지막 포스팅입니다.

7. 창고 운용

불꺼진 창고(조명이 없는 창고)의 보급 속도가 불꺼진 공장(조명이 필요 없는 공장)보다 빠름.

온라인 쇼핑의 성장으로 창고 산업은 지속적으로 성장하고 있음.

창고 운용에서의 로보틱스

물류산업에서 집하와 분류같은 업무를 담당하는 로봇에 관한 연구가 활발하게 진행되고 있음.

이미 몇몇 스타트업은 온라인 주문시 패키지를 로봇을 통해 실행하는 것을 적용함.

언급된 Collabotive 로봇역시 현장에 투입되어 다양한 일을 할수 있을 것으로 기대.

스캐닝을 위한 AI

컴퓨터 비전이 제품 박스들의 사이즈를 측정하고, 개수를 카운트 하거나 박스의 퀄리티를 측정.

사람이 육안으로 해왔던일을 대신 수행.

실시간으로 창고의 여러가지 것들을 정확하게 측정하는것은 창고 관리에 있어서 매우 중요한 일임.

8. 운송수단과 공급망 관리

창고 운용 및 제품 운송에서 많은 부분들이 자동화되었지만, 아직 IoT나 블록체인에 의해 더 세분화되어 관리 될수 있음.

TRUCKING & FLEET TELEMATICS IOT

일반적으로 서플라이 체인에서 생산된 제품이 어느위치에 있는지 실시간으로 인지하는 부실함.

서플라이 체인이 분산화되고 자동화되고 있는 동안 운송을 위한 IoT와 소프트웨어가 성장하고 있음.

이와 더불어 자율 주행 트럭은 배송, 집하, 각종 요금을 자동화 시키고 친환경적이고, 효율적인 운송을 실행할 것임.

우버와 테슬라는 반 자율주행 트럭에 대한 장기 계획을 가지고 있으며, 관련 여러 회사들이 투자를 받고 있음.

블록체인

블록체인이 서플라이체인 관리에서 활용될수 있도록 노력중.

세관,항구,선적자,뱅킹 시스템 등 서플라이 체인에서 운송과 트랙 관련한 모든 정보를 종이대신 디지털 기록으로 대체할 연구가 진행중.

가스, 오일등의 서플라이체인 관리를 위한 연구도 현재 진행중 .

향후 제조사들은 그들의 생산품들을 자동적으로 관리하고 디지털 하기 위해 분산기술에 대한 연구를 진행할것.

블록체인은 SCM을 좀 더 단순화할 뿐아니라 결제 관련 부분도 안정적으로 처리할것.

결론

제조업은 점점 모듈화,자동화, 커스터마이징화, 효율화 되고 있음.

제조업은 기술변화에 수동적이고 새로운 기술을 느리게 받아들이고 투자하는 것으로 여겨졌음.

AI,로보틱스,IoT,수많은 데이터 들이 공장의 생산량을 증가시키있으며, 비용을 최소화하고 불량율을 낮추고 있음.

실제로 둥궈안의 로보틱스는 제품 생산에서 불량률을 25%에서 5%로 낮춤.

AR이나 블록체인과 같은 첨단 기술도 산업 현장에서 점점 이용되고 있음.

제조업에서 새로운 기술들은 지속적으로 수용되어 점점 발전에 나갈것.

 


 

7. Warehousing

Lights-out warehouses may come even faster than lights-out factories.

With the rise of e-commerce, demand for warehouse space has exploded. Last year, the average warehouse ceiling height is up 21% compared to 2001, and spending for new warehouse construction hit a peak in October 2017, with $2.3B spent on construction in that month alone.

 

 

WAREHOUSE ROBOTICS

Amazon’s historic $775M acquisition of Kiva Systems is said to have set off an arms race among robotics makers. Riding the e-commerce wave and the industry-wide pressure to deliver orders on time, we’ve witnessed an explosion of robotics startups focused on making fulfillment more efficient.

Lately, other Kiva-like companies, including Fetch Robotics and GreyOrange, are focusing on other areas of warehouse automation, such as picking and palletizing.

Some startups such as Ready Robotics and Locus have applied the classic robotic arm to package e-commerce orders, though their collaborative nature makes them suited for a number of industrial tasks. We’ve previously looked at industrial robotics companies that could be targets for large corporates.

Manufacturers and hardware-focused investors will continue to hunt for the next robotics maker that’s 10x better than the status quo. And the economics of cheaper and more agile robots may mean we’ll see more robots alongside humans in the short term.

AI FOR SCANNING

As computer vision melds with enterprise resource planning, fewer people and clipboards will be needed in sorting, scanning, and spotting defects.

Aquifi, for example, uses computer vision inside fixed IIoT and handheld scanners. Machine vision can measure products dimensions, count the number of boxes in a pallet, and inspect the quality of boxes. Presently, this is often done with clipboards, eyeballing, and intermittent scanning.

 

 

Vision will be increasingly crucial for IIoT to “abstract away” a real-time picture of what’s happening inside a warehouse. Closing the loop, so to speak, between the physical world and bits and bytes is essential to creating the autonomous warehouse.

8. Transport & supply chain management

Once the product is packaged and palletized, getting it out the door efficiently is a daunting task. With thousands of SKU numbers and orders to manage, the complexity can be astounding — and enterprise resource planning (ERP) software has proliferated to handle it.

But there’s still room for IoT and blockchain to get even more granular with real-time supply chains.

TRUCKING & FLEET TELEMATICS IOT

In general, there is poor awareness about where items are in real time throughout the supply chain.

The fleet telematics field saw several large exits in recent years, with Verizon acquiring both FleetMatics and Telogis. IoT and software for shipments will only grow more important as supply chains decentralize and get automated.

Farther out, the advent of autonomous trucks could mean that autonomous systems will deliver, depalletize, and charge upon receipt of a Bill of Lading. This will bring greener, more efficient movement, as well as more simplified accounting.

 

Uber and Tesla both have high-profile plans for autonomous semi-trucks, and Starsky Robotics (below) recently raised nearly $20M from Y Combinator, Sam Altman, and Data Collective, among others, specifically for long-haul trucking.

 

 

BLOCKCHAIN

As mentioned above, a number of DLT pilots and blockchain startups are trying to put supply chain management software into a distributed ledger.

The willingness to explore these technologies indicates digitization here is long overdue. The highly fragmented nature of supply chains is a fitting use case for decentralized technologies and could be part of a larger trend for eliminating the inefficiencies of global commerce.

Shipping giant Maersk, for example, is working on a startup with Hyperledger that will aim to help shippers, ports, customs offices, and banks in global supply chains track freight. Maersk’s goal is to replace related paperwork with tamper-resistant digital records.

Meanwhile Pemex, the Mexican state-owned petroleum company, is assisting Petroteq in developing oil-specific supply chain management software. The Petroteq project — an enterprise-grade, blockchain-based platform called PetroBLOQ — will enable oil and gas companies to conduct global transactions.

In the future, manufacturers will explore decentralized technologies to make their organizations more autonomous and their belongings (coming or going) more digitized in real-time. Blockchain not only has the promise of simplifying SCM, but also could make payments more frictionless.

 

Conclusion

Manufacturing is become increasingly more efficient, customized, modular, and automated. But factories remain in flux. Manufacturers are known to be slow adopters of technology, and many may resist making new investments. But as digitization becomes the new standard in industry, competitive pressure will escalate the inventive to evolve.

The most powerful levers manufacturers can pull will come in the form of robotics, AI, and basic IoT digitization. Richer data and smart robotics will maximize a factory’s output, while minimizing cost and defects. At the unmanned factory in Dongguan, employing robotics dropped the defect rate from 25% to less than 5%.

Meanwhile, as cutting-edge categories like blockchain and AR are being piloted in industrial settings, manufacturing could eventually be taken to unprecedented levels of frictionless production and worker augmentation.

In the words of Henry Ford: “If you always do what you always did, you’ll always get what you always got.” To reach its full potential, the manufacturing industry will need to continue to embrace new technology.

Source : CBinsights

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