Manufacturing suppliers range from approved vendors and contract manufacturers (CMs) who
only deliver materials and services to complex strategic partnerships. A transactional relationship based primarily on order fulfillment might work well for some companies. However, by taking a CM relationship to the next level of supplier-partner, organizations gain strategic benefits including cost savings, reduced risks, and optimized profits. The right cultural fit and the right-sized partner for your business can play a key role in building this long-term relationship.
While many organizations have acknowledged the importance of digitally transforming their businesses and processes to deliver speed and agility, most are just starting their cloud journey.
Cloud-in-a-Box delivers an enterprise cloud platform with a mix of on- and off-premises private cloud and public cloud, with orchestration between them. This will provide the organization with the ability to avoid vendor lock-in, find the optimal cloud services for a particular business or technical need, and increase redundancy.
Download IDC Infobrief on “Cloud-in-a-Box” to understand:
• How you can deliver the different functions of a data center and meet business requirements by deploying a “Cloud-in-a-Box.”
• Understand how industries such as financial services, manufacturing and healthcare can benefit from “Cloud-in-a-Box” technology.
• Self-discovery questions and focus areas that every organization needs to go through for successful cloud deployment.
This paper introduces a brief explanation of digital continuity and the opportunities and threats that it faces.
The movement of product information to the digital domain in the 21st century has meant that we do not have physical items, like pieces of paper, which we can authenticate as being reliable information for decision making. Digital continuity is meant to remedy shortcomings of the digital environment by ensuring that information is unique, authoritative, current, and consistent, or more simply, has the characteristic of singularity.
This paper includes:
• Digital continuity within the Product Lifecycle
• Digital continuity within manufacturing
• Threats to digital continuity
If we implement digital continuity correctly, we have all the advantages of the singularity of paper documents, but with the instantaneous and simultaneous ability to access the latest, updated information.
Offered Free by: Dassault Systemes
Start the journey to operational and digital excellence by gaining a clear strategy for the first steps forward.
This resource includes:
• An executive summary of Smart Manufacturing
• Benchmarking manufacturing operations management
• The road to MOM 4.0
• Digital transformation is a vehicle, not a destination
• Recommendations to achieve digital excellence
Manufacturers need to start now and follow a clear path from corporate strategic objectives through to successful program implementation.
The concept of a virtual, digital equivalent to a physical product or the Digital Twin was introduced in 2003 at a University of Michigan Executive Course on Product Lifecycle Management (PLM) taught by Dr. Michael Grieves. In light of these advances, it is timely to explore how the Digital Twin can move from an interesting and potentially useful concept that aids in understanding the relationship between a physical product and its underlying information to a critical component of an enterprise-wide closed-loop product lifecycle.
Understand how focusing on the connection between physical product and virtual product will improve productivity, uniformity of production, and ensure the highest quality products.
A&D manufacturers and their suppliers now depend more than ever on global supply chains. As they reach across time zones, languages and cultures, supply chains have to work around challenges that build up costs and drag down production schedules. Communication between distributed engineering and production centers can be labored and error-prone. These problems are often compounded by repetitive programming, incomplete simulations, time-intensive production methods, and concern that the shop floor may not be working with current data. Ideally, global companies should be able to design products at any location and produce them at selected sites, with all stakeholders from design to the shop floor working concurrently from a single unique global data source.
Understand how manufacturing companies can deliver machined parts faster and increase revenue by reducing costs – despite operating globally across time zones and cultures.
This spotlight report examines:
• How Manufacturing Operations Management (MOM) or Manufacturing Execution Systems (MES) are key enablers of data management and Digital Transformation. Companies can combine many other opportunities with manufacturing operations in a digital journey.
• Product lifecycle management (PLM) as a high-value discipline to pair with MOM in discrete manufacturing, and the value of digital continuity across engineering, manufacturing operations, and supply chain.
• A robust integration of MOM and PLM technologies and the advent of the Digital Twin (a virtual copy of the product and how it's made) to demonstrate maturity in Smart Manufacturing and the ability to make smart products in smart factories.
The IIoT has opened up a world of opportunity for manufacturers. Take advantage of it.
By processing real-time data from machine sensors using artificial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
Read about our top data science best practices for becoming a smart manufacturer.
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution.
Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze.
Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform.
Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing:
• Reduced downtime
• Minimized surplus and defects • Deep insights
• End-to-end real-time visibility
“Vestas is a global market leader in manufacturing and servicing wind turbines,” explains Sven Jesper Knudsen, Ph.D., senior data scientist. “Turbines provide a lot of data, and we analyze that data, adapt to changing needs, and work to create a best-in-class wind energy solution that provides the lowest cost of energy.
“To stay ahead, we have created huge stacks of technologies—massive amounts of data storage and technologies to transform data with analytics. That comes at a cost. It requires maintenance and highly skilled personnel, and we simply couldn’t keep up. The market had matured, and to stay ahead we needed a new platform.
“If we couldn’t deliver on time, we would let users and the whole business down, and start to lose a lot of money on service. For example, if we couldn’t deliver a risk report on time, decisions would be made without actually understanding the risk landscape.
While simple fixes may cost a few thousand dollars, lost revenue from equipment failures can run into the millions of dollars in lost productivity and replacement costs. There can be longer-term impacts, too, if the downtime inhibits a manufacturer’s ability to meet customer needs.
That’s why it is important for companies to think about lubrication and equipment maintenance holistically, recognizing that short term cost savings may be leading to bigger, preventable expenses over the long term.
By adopting a total cost of ownership (TCO) program, companies can find efficiencies they didn’t even know existed and reap benefits they didn’t realize were possible. Download our white paper, “The Cost Reduction Game,” to learn more about how a TCO program can help increase equipment reliability, extend equipment life, and lower energy costs.
Published By: Dell EMC
Published Date: Aug 17, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences.
Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape.
Intel's factories rely on thousands of PCs for manufacturing automation; keeping these PCs up and running can prevent expensive downtime. To manage these systems, Intel IT is using the Intel vPro platform's hardware- based feature, Intel Active Management Technology (Intel AMT), to help reduce production downtime caused by PC incidents by 87.5 percent.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
IoT has proven its value in the private sector. Ever since the 1980’s, US manufacturing has undergone a dramatic transition based on IoT. Machines that where once manually calibrated and maintained began to be controlled by specialized computers. These computers were able to quickly recalibrate tools which allowed manufactures to produce smaller batches of parts, but were also often locked into proprietary computing languages and architectures.
IoT describes a system where items in the physical world, and sensors within or attached to these items, are connected to the Internet via wireless and wired Internet connections. These sensors can use various types of local area connections such as RFID, NFC, Wi-Fi, Bluetooth, and Zigbee. Sensors can also have wide area connectivity such as GSM, GPRS, 3G, and LTE.
Industrial enterprises around the world are retooling their factories with advanced technologies to boost manufacturing flexibility and speed, achieving new levels of overall equipment effectiveness (OEE), supply chain responsiveness, and customer satisfaction in the process. This renaissance reflects very real pressures industry players face today. For years, traditional factories have been operating at a disadvantage, impeded by production environments that are “disconnected”—at the very least strictly gated—to corporate business systems, to supply chains, and to customers and partners.
Many manufacturers are pursuing the immense business benefits available from digitizing and connecting their factories. Major gains in overall equipment effectiveness (OEE), reduced downtime, and manufacturing flexibility can be achieved with a factory that is digitized and connected. By providing visibility to machines and processes, manufacturers can anticipate issues that create unplanned downtime. By putting in place a secure, converged and wireless-ready network, manufacturers can have a platform that enables the agility to quickly start up new machines, cells, and lines, and rapidly deliver new products.
The Internet of Things can bring big benefits. But what exactly is IoT, and how are different industries taking advantage of it? This TDWI e-book explores in detail what IoT and the Industrial IoT (IIoT) do for retailers, the automotive industry, state and local governments working with utilities firms, and the manufacturing industry. Common themes include connectedness, data-driven insights, predictive capabilities and transformation.