Traditionally, almost all business intelligence and analytics solutions were designed as general-purpose platforms or desktop tools suitable for any industry, department, or use case. That does mean, of course, that the burden of developing data models, data pipelines, dashboards, and reports falls to the customer. They effectively start with a 'blank sheet of paper,' which, in theory, can be developed to fit the organization's exact needs. However, the reality is that the organization may not have either the skills, resources, or time to develop an analytics solution that quickly meets business requirements.

The answer to avoiding this overhead of entirely homegrown analytics is to use a modern analytic application that can deliver ready-to-use analytics, right "out-of-the-box." Deployment and adoption of these analytic applications are accelerated because of built-in content developed by industry domain experts that understand the industries, roles, data, business applications, and specific analytics required by typical business user personas. A significant amount of development time can be saved because this domain-expertise-driven content can replace typical internal development processes.

Asset Investment Planning enables your asset-intensive organization to determine which asset investments will enable you to best meet your service level objectives with the right level of expenditure while minimizing the risk of asset failure. An API can also help you determine the best time to invest in order to smooth your capital expenditures over time.

Modern AIP solutions simplify the process of developing asset investment plans by allowing you to leverage the data that is already in your asset registry in your enterprise asset management (EAM) to tell you what assets your organization has, your work management system that manages maintenance operations, and your asset performance management (APM) system that monitors asset condition reliability.

You use that data to quantify four key inputs: Asset condition, asset criticality, business risk, and level of service. Asset condition allows you to visualize deterioration over the asset’s lifetime and establish where intervention is necessary. Asset criticality determines the impact the failure of an individual asset will have on your organization’s ability to realize your business objectives. Business risk determines the consequences of asset failure. Level of service required enables your organization to operationalize your organization’s policies, strategies and objectives, tie those to KPIs and then link that to level of service requirements.

Regardless of size or industry, asset-intensive organizations are always looking to do more with less. For a food and beverage manufacturer that means finding ways to extend asset life to minimize costs, improve food and worker safety and reduce waste while performing the right maintenance on the right equipment, at the right moment to avoid downtime.

Some businesses have been making do and getting by with asset management strategies that sell them short, driving up the cost of maintenance labor and materials and increasing the risk that critical assets will be down when they’re most urgently needed. The scene has been shifting over the past several years, with Enterprise Asset Management (EAM) offering greater visibility and sophistication for maintenance operations.

But business rarely sits still for very long. And with the rapid rise of Industry 4.0, it’s essential for asset management to keep up. Maintenance 4.0 is the set of tools and strategies that is helping food and beverage companies optimize operations by deploying the mountains of data now available to keep equipment and production lines in peak operating condition. Infor’s Best Practice Guide, “Why your EAM strategy must evolve to increase food safety,” explains how it works and lays out the five essential components of an Asset Performance Management (APM) platform.

Automotive manufacturers and their suppliers continue to increase their collaboration in various ways, whether this be through robotic process automation (RPA), data collection and exchange, or other methods that provide insights for scalability. With true, multi-enterprise collaboration, there are cross-training opportunities to convey customer needs and preferences for product innovation, giving manufacturers the ability to make rapid adjustments in real time. Collaborative behavior makes this happen, and it all starts with transparency.

However, building real trust, collaboration, and transparency goes beyond using a specific technology or workflow. At its core, this is about changing the culture of automotive OEMs and throughout their suppliers at every tier. Automotive companies who are true leaders in the industry consider the health of the entire supply network, not just their immediate interests. Making this change—as with almost all substantive transformations—requires change be from the top executive level down.

Disruptions to the supply chain

If any event reveals the need for resilient supply chains, it’s COVID-19. The disruptions shook every industry, including automobile. Early 2020 forecasts projected a significant drop in new vehicle sales, but ultimately turned out much better with only a 15% reduction from the total 2019 sales.

It’s no surprise the pandemic has prompted several automotive companies to embrace new supply chain strategies that allowed them to recover quickly while also setting them up for future growth. Many automotive companies stood up crisis teams and control towers to improve visibility and maintain profitability, which in turn developed into an advanced strategy around predictive risk management and multi tier supplier collaboration.

Even with the automotive industry embracing new supply chain practices, another disruption has risen in the semiconductor chip shortage. With modern vehicles often containing thousands of semiconductors, this crisis underscores another dimension of supply chain risk exposure and highlights the critical need to collaborate with multi tier partners for globally limited supplies.

Introduction

No food and beverage (F&B) company can afford unscheduled downtime. F&B is an industry pressured by outside forces such as consumer tastes and commodity pricing. But what is within control are the operations that get product to consumers. One big way to optimize production is to slash downtime to deliver tens of thousands of dollars back to the bottom line. In this e-book we provide tips on harnessing IoT, data-driven enterprise asset management (EAM), and smart technologies to strike a careful balance between lean efficiency and maximized uptime.