Case Studies Global Engineering Organization Improves Bids and Estimates with Aspen Capital Cost Estimator

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	Global Engineering Organization Improves Bids and Estimates with Aspen Capital Cost Estimator

Global Engineering Organization Improves Bids and Estimates with Aspen Capital Cost Estimator

Technology Category	Analytics & Modeling - Process Analytics Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries	Chemicals Construction & Infrastructure
Applicable Functions	Discrete Manufacturing Procurement
Use Cases	Predictive Maintenance Process Control & Optimization
Services	System Integration Training
Challenge	Linde’s U.S. engineering organization was facing high estimating variances and overruns, coupled with a large, dispersed estimating team. The problem was diagnosed as an inconsistent use of tools and business processes in the estimating function. The company was looking for a more strategic, centralized solution to streamline its estimating discipline, improve the accuracy of capital cost estimates, and achieve long-term cost savings. Read More
About Customer	Linde is one of the leading global producers of industrial gases, with an associated world-class engineering organization. The company has a presence in approximately 100 countries and employs nearly 52,000 people. Linde is committed to technologies and products that unite the goals of customer value and sustainable development. The company's U.S. engineering organization was facing challenges with high estimating variances and overruns, coupled with a large, dispersed estimating team. Read More
Solution	Linde implemented aspenONE Engineering and the Aspen Capital Cost Estimator. The software enabled fast, accurate estimates and analysis, and allowed the company to phase out disparate legacy products for greater efficiency. To test the value of the software, five recently built plants were fully modeled and implemented in the software. The models successfully matched the historical data within a small overall variability. Following the initial implementation phase, the company put the solution to work on two hydrogen plant proposals, testing both the technical and work process aspects of the approach. The software was run in parallel with legacy systems to build confidence in the solution and fine tune the cost models to match Linde practices. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Process Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Applicable Industries

Chemicals

Construction & Infrastructure

Applicable Functions

Discrete Manufacturing

Procurement

Use Cases

Predictive Maintenance

Process Control & Optimization

Services

System Integration

Training

Challenge

Linde’s U.S. engineering organization was facing high estimating variances and overruns, coupled with a large, dispersed estimating team. The problem was diagnosed as an inconsistent use of tools and business processes in the estimating function. The company was looking for a more strategic, centralized solution to streamline its estimating discipline, improve the accuracy of capital cost estimates, and achieve long-term cost savings.

About Customer

Linde is one of the leading global producers of industrial gases, with an associated world-class engineering organization. The company has a presence in approximately 100 countries and employs nearly 52,000 people. Linde is committed to technologies and products that unite the goals of customer value and sustainable development. The company's U.S. engineering organization was facing challenges with high estimating variances and overruns, coupled with a large, dispersed estimating team.

Solution

Linde implemented aspenONE Engineering and the Aspen Capital Cost Estimator. The software enabled fast, accurate estimates and analysis, and allowed the company to phase out disparate legacy products for greater efficiency. To test the value of the software, five recently built plants were fully modeled and implemented in the software. The models successfully matched the historical data within a small overall variability. Following the initial implementation phase, the company put the solution to work on two hydrogen plant proposals, testing both the technical and work process aspects of the approach. The software was run in parallel with legacy systems to build confidence in the solution and fine tune the cost models to match Linde practices.

Impact #1	Improved accuracy, consistency and efficiency of estimating with Aspen Capital Cost Estimator.
Impact #2	Enabled the company to phase out disparate legacy products for greater efficiency.
Impact #3	Reduced man hours per estimate.

Impact #1

Improved accuracy, consistency and efficiency of estimating with Aspen Capital Cost Estimator.

Impact #2

Enabled the company to phase out disparate legacy products for greater efficiency.

Impact #3

Reduced man hours per estimate.

Benefit #1	Reduced estimating variance to improved accuracy of actual constructed costs.
Benefit #2	Reduced instances of capital cost project overruns.

Benefit #1

Reduced estimating variance to improved accuracy of actual constructed costs.

Benefit #2

Reduced instances of capital cost project overruns.

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Overview

Global Engineering Organization Improves Bids and Estimates with Aspen Capital Cost Estimator

Operational Impact

Quantitative Benefit