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.
This white paper provides an overview of the growing opportunities for EDI managers and coordinators. It highlights how their role can change from being responsible for implementation of technologies for operational activities to being infrastructure leaders. It shows how they can deliver increased efficiencies and velocity for value chain automation, which increases visibility, control and agility for a business.
System reliability is a vital component in Storage Area Network (SAN) design that keeps your production environment operating and avoids data loss and downtime. But since SANs are built using both mechanical and electronic parts, component failures due to usage, environmental factors, or manufacturing defects are not uncommon. Even in completely redundant systems, controllers can fail, fans can stop operating, power supplies can burn out, and disk drives can degrade or fail.
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.