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.

The future of planning is connected, intelligent, and continuous. Yet many companies remain so far away from this vision, it often seems unachievable. With many planning processes being so siloed and disconnected from execution, they can feel ineffective.

Fortunately, evaluations of the planning landscape reveal many organizations are adopting technologies that move towards a de-siloed, network-based approach to planning. For these companies, the primary goal centers around connecting planning capabilities to “a single version of the truth.” To optimize planning capabilities, it crucial to achieve this connection at the enterprise level as well as into the broader supply network.

But to do this involves using integrated business planning (IBP) or sales and operations planning (S&OP) to collaborate and analyze, perform demand planning to improve forecasting, optimize supply planning, and facilitate synchronization. Each of these areas are critical to a successful planning process and are more powerful when integrated and connected across a network.

An estimated $350 billion of invoices are typically involved in supply chain finance programs. Known as "reverse factoring," this process assists suppliers in obtaining the capital needed to keep supply chains humming, as described by Aite Group. Opposed to traditional receivables financing or factoring, reverse factoring is driven by the buyer and its relationship to a bank or finance provider, with capital being made available to suppliers based on the relationship parameters.

Banks are happy to step in, within specific jurisdictions and credit profiles. Research firm Coalition reports that banks logged approximately $12.7 billion in revenue in the first half of 2020 via total supply chain finance volumes. However, limitations are significant, and often times, the suppliers that need financing the most are excluded from such programs.

To keep up with lofty yet mandatory customer expectations, your supply chain can’t afford to stop investing in technology that improves processes, connects business partners and IoT data, and uses machine learning algorithms to improve business outcomes. If the people tasked with running your supply chain are relying on poorly built or outdated systems filled with data quality issues, then they need new technology solutions and strategies to overcome these shortcomings to create true value.

As you strive to balance cost while simultaneously improve your customer service, you are no doubt confronting issues that require better collaboration amongst your group as well as the numerous companies you interact with daily. The days of each department or company working on an island while hoping groups further downstream can correct any mistakes are long gone.

Nowadays, those of us in the supply chain space realize the need for ongoing collaboration with everyone who touches our supply chain. This can take the form of sharing data around forecasts, inventory positions, capacity plans, order status (both at rest and in-transit), as well as visibility into shipments.

Competitive supply chains must enable a new level of coordinated performance that creates a high-fidelity picture of in-process flows across your extended network. Building the continuous supply chain supports contextual deviations, conveys alerts and drives continuous planning via sense & respond capabilities.

Optimizing multi-party business processes

Supply chains are complex networks where over 80% of the data and processes sits within partner systems. To see and act on the latest picture of your supply chain, your company needs that data from each of your partners, but the problem is most companies rely solely on an enterprise-centric approach to solve a multi-enterprise problem.

The only way to overcome those limitations is to adopt a "network approach." Connecting all partners to shared processes, data and metrics managed within a single platform creates a single version of truth for all parties. This allows supply chains to eliminate the data silos and inherent latency in order to reduce the root causes of friction, variability and costs in today’s supply chains, both internally and externally.

No vertical market appears to be immune to the hardships and challenges resulting from the unprecedented uncertainty and volatility of today’s geopolitical strife, climate disasters, and global pandemics. Which makes it even that much more challenging for organizations to try to meet consumer preferences and requirements that are always changing.

All of this uncertainty underscores the importance for organizations to focus on optimizing all facets of their supply chain costs—including cost-to-source, cost-to-procure, cost-to-manufacture, logistics, and handing. Supply chain optimization must also factor in the direct labor that drives supply chain activities in manufacturing, distribution, and retail. Total cost has never been more critical to understand and control—regardless of an organization’s industry or sector.

I recently posted on LinkedIn to ask my colleagues for advice on how to manage my exploding workload. According to the latest Mental Health Index: U.S. Worker Edition from Total Brain, between November and December there was a 48% increase in the risk of depression—a risk level not seen since this past spring. Further, employees’ focus dropped 62%—a record low since the inception of the research in February 2020. While remote working has its benefits, most of us would argue that we need to make some significant changes for this style of working to be sustainable. Below are a few of the suggestions and ideas from professionals that commented on the post.

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Sean has had the opportunity to experience CloudSuite on multiple levels over the last 15+ years. He has used the system first-hand as an end user, configured multiple instances as an implementation consultant, and led acquisition implementation teams as the CIO for a $300M distribution company with 23 branches. He has also leveraged the CloudSuite platform within multiple organizations to increase efficiencies and provide innovated solutions to their current real-world challenges within the Manufacturing, Chemical, F&B, Distribution, and Fashion industries.