Chemical process intensification makes the chemical industry greener: an interview with Zhigang Lei

Pricing problems in the chemical process industry

Data Mining for the Chemical Process Industry

Advancements in sensors and database technologies have resulted in the collection of huge amounts of process data from chemical plants. A number of process quantities such as temperature, pressure, flow rates, level, composition, and pH can be easily measured. Chemical processes are dynamic systems and are equipped with hundreds or thousands of sensors that generate readings at regular interval...

Process Safety Knowledge Management in the Chemical Process Industry

Chemical process industry is a high risk industry which can result in catastrophic casualties, loss of properties, and environment damage. Process safety should always come first in the chemical process industry. Researchers have made great efforts to make the chemical process industry safer for people and the environment. Effective process safety management is the guarantee for process safety....

Fuzzy Classification with an Artificial Chemical Process

Given its practical importance in industrial applications, automatic generation of inference systems is an important area of research. LFC is a new algorithm developed to generate a compact set of fuzzy classification rules from data. The premise is extracted directly using a global optimization procedure based on a new recently introduced paradigm called artificial chemical process. The conclu...

Near-miss incident management in the chemical process industry.

This article provides a systematic framework for the analysis and improvement of near-miss programs in the chemical process industries. Near-miss programs improve corporate environmental, health, and safety (EHS) performance through the identification and management of near misses. Based on more than 100 interviews at 20 chemical and pharmaceutical facilities, a seven-stage framework has been d...