Digital Operational Excellence in Practice

Operational Excellence is the ability of a company to continuously improve its value chain in terms of efficiency and effectiveness. It is the ultimate discipline in the manufacturing industry. Companies face constant pressure to optimize their manufacturing processes and increase productivity. However, there are several hurdles to overcome, such as lack of coordination, paper-based processes, and a multitude of labor-intensive manual activities.

For sustainable production optimization, digitalization through Manufacturing Operations Management (MOM) systems is a fundamental cornerstone. It’s crucial that IT activities go hand in hand with the design of processes and methods, and their integration into the shop floor organization, which often faces challenges such as limited resources, skill gaps, and restricted operational capacity.

Based on our project experiences, we have summarized the following typical steps for you to achieve increased OEE (Overall Equipment Effectiveness) and EBIT:

Qualification and involvement

Early involvement of employees as ambassadors significantly contributes to the success of the project. Therefore, the project team and leadership are trained at the project’s outset. This fosters a shared understanding and ensures sustainable integration of activities. Additionally, to assess the coverage of process threads with the standard software and to create mock-ups for the target system as needed, key users must be involved early on.

Equipment and Asset Management

A simple system solution without smart machine integration often generates significant benefits in the initial phase of the project. This is particularly true for maintenance. Asset management documents the condition of the equipment ‘as maintained.’ This allows similar groups of systems to be managed in a standardized manner and to identify deviations (benchmarking). Further potential lies in the standardized spare parts management.

Cross-System Data Logistics

The next step typically involves the integration into company-wide data logistics. To achieve this, leading systems and consumers are identified and matching is designed at their interfaces. Companies should not underestimate this design phase, which is often the most challenging part of establishing a stable data logistics. In terms of technical implementation, certified interfaces for standard systems like SAP are preferable, as individual approaches are often maintenance-intensive and not future-proof.

Optimization of Shop Floor Control

Once order data (from upstream systems) and equipment are available in the MOM system, the optimization of processes surrounding production and shop floor control continues: Error-prone Excel tools are replaced, planning consistency is enhanced, and manual efforts are reduced.

For instance, through effective shop floor data collection (SFDC), operators can report causes and quantities of defects, improving the information basis for control. By digitally providing manufacturing documents, manual efforts and sources of errors can be reduced. All of these measures significantly increase the acceptance of digitally available information among operators.

Machine Integration and Data Preparation

The integration of machines and equipment into the MOM system (Machine Data Acquisition) creates a comprehensive picture of the current manufacturing situation. This enables companies to implement condition-based and predictive maintenance measures. Another particularly important aspect is the implementation of a cross-functional energy management on this basis, as the system provides data for calculating the CO2 footprint throughout the entire production chain.

Digital Shop Floor Management

Digital Shop Floor Management (SFM) serves as a central interface between IT and process optimization. SFM is the key lever for continuous improvement in production and is methodically supported by cascading rule meetings. This allows insights and issues to be visualized and addressed from the workshop floor to the site level, from OEEs and loss reasons at a single facility in one shift to the impact on operational performance and site EBIT.

Stabilizing and Improving OEE

The focus on improving OEE often revolves around reducing downtime and reasons for disruptions. This is based on the consolidated overview from Machine Data Acquisition (MDE) and Shop Floor Data Collection (BDE), identifying measurable causes of losses for each machine. A typical insight, applicable to many companies, is that OEE losses are not solely due to equipment failures but often stem from organizational issues. Therefore, alongside initiatives such as setup workshops, machine cleaning measures, and employee training, projects in office areas are also of significant importance (e.g., order processing, planning/scheduling, and product development/master data).

Enterprise-wide Benefits

Digitization through MOM software establishes a foundation for companies to optimize their production sustainably. In typical cases such as in medium-sized mechanical engineering, improvements of the average OEE across all machines by more than 10 percentage points and an increase in site EBIT by more than 2 percentage points are quite realistic. As long as there are sufficient orders, increased productivity is immediately reflected in higher EBIT. At the same time, improved process quality and responsiveness have a positive impact on customer relationships.

How PLM paves the way for sustainable product development

In today’s sustainability-driven world, ensuring transparency and traceability across the entire product lifecycle is crucial. Product Lifecycle Management (PLM) helps to tackle these challenges by providing a solid data foundation for informed decisions.

Challenges for companies: regulations and customer demands

Companies are often faced with regulatory challenges that influence the development of strategies and products. The European Green Deal and the Corporate Sustainability Reporting Directive (CSRD) provide a corresponding framework. At the same time, customers demand solutions that support sustainable product development, and the call for a green transformation grows louder. But how can companies take this step?

Companies in the green transition

The green transition is a monumental task for the industry. Sustainable development, as defined by the 1987 Brundtland Report, becomes a guiding principle. The goal is to meet the needs of the present without compromising the needs of future generations. With sustainable design as a core element of this movement, economic and ecological dimensions are aligned. Unlike approaches like Eco-design, Sustainable Design also integrates ethical aspects, human rights, and social justice, such as social aspects in the supply chain.

PLM as a key for sustainable product design

Every product goes through various lifecycle phases where decisions regarding material selection, design, and manufacturing processes are made. PLM systems like CIM Database PLM enable the consideration of sustainability principles as early as the design phase. Reducing waste, efficient use of energy, and recycling become integral parts starting from early design processes.

Read more about how PLM contributes to sustainable product development here.

Life Cycle Assessment (LCA) and PLM: An unmatched combination

Life Cycle Assessment (LCA) is another central approach for the evaluation of environmental impacts. By quantifying and assessing environmental impacts across the entire lifecycle of a product, companies can identify environmental aspects and potential effects.

PLM as a structural guide for sustainable products

The product structure, also known as Bill of Materials (BOM), is utilized by PLM as a structured guide. It enables accurate assessment of environmental impacts across the entire product range. Material properties, work schedules, and data aggregation support the selection of sustainable materials.

Material Compliance: Mastering regulations more easily

The selection of materials must not only be environmentally friendly but also legally compliant. This is where Material Compliance comes into play. A PLM system enables the management of product structures and material data as well as a smooth implementation of material compliance through the traceability of used materials.

Digital Product Passport for the circular economy

Transparency about materials and products is crucial for a successful circular economy. The Digital Product Passport acts as a carrier of information from the PLM system and provides a foundation for GHG reporting. The Asset Administration Shell (AAS) serves as a standardized technology for information exchange.

PLM for a sustainable future

Through a holistic view of the lifecycle, impacts and risks can be detected, assessed, and ultimately avoided at an early stage. CONTACT Research is committed to more sustainable product development in order to shape a harmonious future. Let’s tackle the challenges of sustainable product development together and leave a positive impact on the world!

Read the full article on the CONTACT Research Blog here.

Sustainable PLM through a cloud-based solution

Why Cloud PLM is the more sustainable choice

The Paris Agreement has a clear objective: limiting global temperature rise to below two degrees Celsius. To achieve this goal, companies must reduce their carbon footprint significantly. One promising way to enhance the resource efficiency of the employed Product Lifecycle Management (PLM) system is by utilizing cloud services. The shift to the cloud can be likened to carpooling, where the company’s on-premises server is akin to one’s own vehicle. In this example, it consumes substantial resources in the form of power to remain constantly operational. Cloud service providers act as carpools, sharing resources with multiple parties, eliminating the need for individual companies to operate extensive infrastructures. This not only saves resources but also enhances efficiency.

Discover why PLM in the cloud is the more sustainable choice compared to on-premises PLM software in this blog post.

On-premises versus cloud operation of PLM systems

On-premises or in the cloud – the operating models of PLM systems exhibit significant differences:

In on-premises operation, an internal server of the company hosts the PLM software, requiring capital-intensive investments in proprietary hardware and software. Local infrastructure is subject to a fixed capacity, potentially leading to bottlenecks during peak demand. Companies bear the responsibility for managing, maintaining, securing, and upgrading the PLM system themselves. Implementing new features or updates also requires a considerable lead time.

In contrast, cloud operation relies on an external provider to supply the server infrastructure. The cost structure is typically based on regular licensing fees. Cloud PLM systems are scalable, allowing resources to be flexibly adjusted based on demand. Management, maintenance, security, and system updates are the responsibility of the cloud provider. Compared to the companies using the PLM system, cloud providers possess more comprehensive expertise and state-of-the-art security technologies. New features or updates are implemented faster, given the external management of infrastructure and automatic updates.

3 Factors enable sustainable PLM in the cloud

Efficient resource utilization through cloud technology:

Server capacity, storage space, and network bandwidth can be efficiently managed in Cloud PLM software. The scalable cloud infrastructure allows PLM systems to adapt to specific requirements, such as adding or removing users. Scaling ensures optimal resource utilization while preventing energy waste.

Cloud providers also invest in efficient data centers and employ technologies like virtualization to maximize energy efficiency. This enables multiple virtual systems, operating systems, and applications to run on a single server. Consolidating servers and sharing hardware reduces energy consumption compared to decentralized software deployment. Advanced cooling technologies and intelligent energy management systems contribute to efficient resource utilization in data centers.

Using cloud services also reduces the need for local hardware such as servers, storage devices, and network equipment, resulting in less electronic waste and reduced demand for raw materials for new devices.

Dynamic load distribution in the cloud also contributes to overall efficiency. Traffic management flexibly adjusts to the performance needs of PLM applications to avoid network overloads.

Selection of sustainable cloud providers:

PLM in the cloud is particularly sustainable when chosen cloud providers use renewable energy sources. By leveraging solar power, wind energy, or hydropower, these companies reduce their ecological footprint.

Centralized updates and maintenance:

Cloud PLM providers centrally perform automated software updates and maintenance. This reduces the need for manual interventions at customer sites, which saves time, resources, and travel expenses.

Conclusion

In comparison to the local deployment of PLM software, the cloud enables more efficient resource utilization through flexible scaling, increased energy efficiency, and a reduced carbon footprint. Operating PLM systems in the cloud is more sustainable than on-premises when companies choose a cloud provider that uses renewable energy. Learn more about PLM and sustainability on our website.

CIM Database Cloud can be flexibly scaled up or down and is hosted on Amazon Web Services (AWS), which aims to operate entirely on renewable energy by 2025.