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CALL-FOR-COLLABORATION

EnggSoft is actively looking for collaboration with industry consultants, channel partners, distributors and value-added-resellers, as well as both software and hardware vendors to include EnggSoft as a critical component in their go-to-market strategy. our software and toolkits will provides a great opportunity for all our partners to enhance and extend their market and technology appeal as well as gaining access to our exclusive client base.

If you are keen in our call-for-collaboration, please contact sales@enggsoft.com to complete the Partnership Application.

ENGGSOFT MANUFACTURING

ENGGSOFT MANUFACTURING ENGINEERING

ENGGSOFT is a premier software technology company with the vision of becoming a global provider of affordable high impact Engineering, Scientific & CAD/CAM Software and productivity technology solutions and services. The company was founded to create a new set of Engineering, Scientific & CAD/CAM Software tools which can help businesses to reduce cost and save time, improve productivity, improve efficiency, improve performance, increase revenue and profits, and revolutionizing the way companies do business, by simplifying how Engineering, Scientific & CAD/CAM Software and productivity technology is used, by making it available to any company wherever and whenever they need it, and by making it affordable enough for every company to buy and license. The company has the technology to provide customers with innovative and proven solutions that increase quality and productivity, by utilizing leading edge technology, including software, hardware and services to create end-to-end solutions to provide significant value to produce complete integrated solutions. To locate Enggsoft Office, we welcome you to visit http://www.enggsoft.com.

Services and Solutions

Enggsoft collaborates with customers and partners to provide innovative services and solutions. We work with our customers and partners to develop an affordable solution that delivers productive, effective and measurable results. We engineer radical technology solutions that solve challenging problems for a variety of industry. Enggsoft offers an expert team of consulting engineers, training professionals, and educational courses to help deliver a comprehensive Engineering, Scientific and CAD/CAM software solutions to companies leading the way in a competitive environment.

Our services and solutions include software, consulting, training, and proactive support services that :

1. protect your intellectual property,

2. trusted computing platform,

3. secure confidential drawings,

4. improve productivity levels,

5. reduce operating costs,

6. minimize risk and complexity, and

7. deliver performance and efficiency.

Our objective is to provide all of the necessary software toolkits, methodology and framework to deliver and implement enterprise wide productivity solutions to help organizations leverage technology to protect their intellectual property, to increase their efficiency, productivity, and profits. The team of consulting engineers and training experts utilizes a proven methodology and framework to deliver comprehensive Engineering, Scientific and CAD/CAM software solutions tailored specifically to the customer's requirements.

FEATURED SOLUTION

Manpower Resources Optimization in an aircraft maintenance industry using Simulation and RobustEngineer Software.An airline engineering maintenance company needs to optimize its manpower resources within its line maintenance operation. The objectives of this project are to optimize shift patterns in line maintenance with respect to the aircraft movement patterns, to optimize staff overtime and technicians utilization and to provide the company with Decision Support Models for the line maintenance operations to conduct future operations improvement.

FEATURED SOLUTION

Optimization of Wafer Production Operations Using RobustEngineer Software and Technology. In many systems and processes of manufacturing, the boundary conditions and physical phenomena are so complex that it is beyond the present technical capability to obtain satisfactory analytical or numerical models. As such, experimentation is necessary to define the behavior of the system and/or processes. This project uses a method and the results of an 9-factor experiment designed to identify some factors and interactions that have a major effect in the capacity planning process for semiconductor manufacturing operations. The method consists of experimental designs and neural analysis. The dataset contained actual manufacturing data from wafer fabrication facilities that were organized into a standard format. Each dataset contained the minimum information necessary to model a factor, including product routing and process times, rework routings, equipment avail-ability, operator availability, and product starts. Two levels, high capacity setting and low capacity setting, were selected for the 9 modeled factors. Four factors were consistently identified as significant capacity loss factors. These were down-time, setup, yield, and dispatch rule. In addition to these factors, four interactions (setup and dispatch rule, downtime and dispatch rule, downtime and yield, and setup and downtime) were significant.

FEATURED SOLUTION

Automated Process Profiles Clustering, Characterization and Classification of Equipment using RobustEngineer Technology. This project investigates the feasibility of using smart technologies neural networks and optimization for Automated Process Profiles Clustering, Characterization and Classification of equipment. The feasibility study will explore opportunities with respect to :

Manual Characterization and Post-Inspection,
Difficulty in identifying and match-ing process profiles with consistency,
Unable to determine if the mould requires maintenance as well as serviceability,
Uncertainty in process due to process drift and process "wear-out".

FEATURED SOLUTION

Design Modelling of Machine Behaviour Using Simulation and RobustEngineer Software. This project is for a semiconductor equipment manufacturers with the purpose of improving the performance of the automoulding machines. In this project, the machine behaviour is modelled using simulation and neural networks. A simulation model of an automoulding machine was created to determine accurately the throughput for 108 sets of different parameter settings of the machine elements. A robust design was used to determine the important factors. The results from the robust design analysis were then interpolated using Neural Network optimization technique to map out a complete multivariate response surface of the machine throughput. A database with an intelligent optimization search engine was then designed to facilitate the flexibility of search for optimal parameter settings to achieve maximum output.