Selecting a new manufacturing execution system (MES) can be difficult. With so many options in the marketplace, it can be overwhelming to sort out which one is the right fit for your business.
In this report, we believe Gartner provides some clarity by naming a selection of vendors that specialize in creating MES solutions that support the unique capabilities of discrete industrial manufacturers and fit inside Gartner’s Magic Quadrant Perspective for MES. According to Gartner, recommended assessment criteria for technology and service selection are:
• Relevant industry experience
• Industry-specific functionality
• Supplier collaboration
• Financial viability
• Evidence of innovation
Download the report to learn more about why Epicor is named a notable vendor and why we believe you should consider Mattec MES for your manufacturing business.
IBM has a unique position in the marketplace, with cognitive platforms and services, industry-specific offerings and expert consulting to support electronics companies.
To understand how the electronics industry is applying cognitive computing to manufacturing, the IBM Institute for Business Value surveyed 140 electronics executives around the world and across all industry subsectors. We found that a core group of early adopters has kicked off a new generation of production success with cognitive manufacturing and show greater returns on investment (ROI) with increased productivity. Our analysis answers some important questions.
Hyper-complex production meets cognitive computing. Electronics manufacturing is surrounded by continuous complexity. Executives face rising resource costs in traditionally low-cost production markets. They must address increasing customization, shorter lead times, frequently changing requirements and shrinking order sizes – all while managing a sophisticated supply network. They need to examine automation potential and maintain critical institutional knowledge. Thinner margins and increased competition threaten consistent quality, risk greater downtime and reduce desired flexibility. Investments in new equipment and automation systems are increasing the amount of data available from the shop floor, but most is not used to its full potential. Now, cognitive manufacturing is transforming production to address such complexity.
Until recently, many high-tech manufacturers – especially small and medium-sized businesses – have been able to survive by applying 80% of their operational focus to 20% or less of their critical customers and suppliers. That was then. The new mandate from channel masters is for more intense, collaborative relationships with fewer suppliers.
For most electronics and high tech companies, the bill-of-materials (BOM) is the central hub of product definition activities. It conveys the information needed by various departments, such as Engineering, Procurement and Manufacturing, to get the product built. However, current BOM development processes are not well-suited to today’s realities.
Electronics and Software Engineering are quickly merging with traditional Mechanical Engineering to create a new paradigm in auto manufacturing: Mechatronics. Industry experts predict that this shift will bring about profound advances in automotive product development. Unfortunately, existing IT and process infrastructures do not provide sufficient capabilities to support the new paradigm: multiple data silos, a lack of standardized processes, and integration issues on a tool level (Mechanical, Electronic, Software) continue to pose serious obstacles to development efficiency, and remain a frequent source of delays, quality issues and cost increases.
As if the selection of manufacturer weren't enough, many encoders offered in today's marketplace are highly configurable. Resolution, shaft size, seal options and connector variations all confront the design engineer with serious choices. Output type is equally important. In this paper, we'll cover some of the more typical applications and common output types.
In most drilling applications encoders are used to provide position and speed feedback for proper control of equipment like top drives and pipe racking systems. However, these electronic devices require special attention when used in hazardous environments such as a drilling platform. In this paper, we discuss ways to make encoders suitable for hazardous duty.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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