444424 Incorporating Process Safety Risk in Design and Optimization of Hazardous Chemicals Supply Chain

Monday, April 11, 2016: 1:30 PM
338 (Hilton Americas - Houston)
Nitin Roy1,2, Bin Zhang3, Fadwa T. Eljack4, Mahmoud El-Halwagi5 and Sam M. Mannan1, (1)Chemical Engineering, Texas A&M University, College Station, TX, (2)Mary Kay O'Connor Process Safety Center, Texas A&M Engineering Experiment Station, College Station, TX, (3)Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, (4)Department of Chemical Engineering, Qatar University, Doha, Qatar, (5)The Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX

Incorporating process safety risk in design and optimization of hazardous chemicals supply chain

2,3Nitin Roy, 1Dr. Fadwa-Eljack, 3Dr. Mahmoud El-Halwagi, 2,3Dr. M. Sam Mannan

1Department of Chemical Engineering

Qatar University

Doha, Qatar

2Mary Kay O’Connor Process Safety Center

Texas A&M University System

College Station, Texas 77843-3122, USA

3Artie McFerrin Department of Chemical Engineering

Texas A&M University System

College Station, Texas 77843-3122, USA


Life-cycle analysis of a product includes the study of the overall cycle of the product from its raw materials to the disposal of the materials. Supply chain management and optimization can be considered as one part of life-cycle analysis. Industries have now very tight relations and connections with the suppliers and distributors. Any small disturbances may have huge implications in the different parts and parameters of the supply chain and the cascading effect can affect industries that are situated in different parts of the world. Supply chain optimization is very important in decision making, which gives the power to stakeholders to assess the gigantic supply chains. It has always been very hard to estimate the effect of an event on the supply chain. Supply chains may be defined as an integrated network of facilities and transportation options for the supply, manufacture, storage, and distribution of materials and products. One of the most important factors of supply chain disruption is the process safety. This part of the uncertainty is often overlooked. Quantifying process safety has been one of the main goals for the decision makers for fast and intelligent strategic decisions. Different techniques are there to analyze and quantify the risks in a facility, either storage or manufacturing and the transportation. The numbers of these techniques and quantitative indices have grown a lot during the last decade. A good analysis of these indices and techniques is necessary to intelligently choose the right risk analysis tool for the approach. Application of these risk analysis techniques will make the decision making more fast and accurate.

A mathematical model of a detailed and practical supply chain has been formed. This model has production units, storage units and transportation routes connecting them. All the production units are simulated in Aspen Hysys for getting information for economic analysis and risk analysis. The whole problem is formulated as Mixed-Integer Linear Programing (MILP) formulation. The problem was formulated in GAMS and optimized using CPLEX.

Keywords: Process Safety, hazard potential, hazardous chemical risk, supply chain network, modeling and optimization

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