Technology evaluation and decision making for sustainability enhancement of industrial systems under uncertainty

AIChE Journal

Volumn 58, Issue 6, 2012, Pages 1841-1852

  Liu, Zheng ^a   Huang, Yinlun ^a  

^a Wayne State University   (United States)

Author keywords

Decision making; Interval parameter based analysis; Sustainability enhancement; Technology evaluation; Uncertainty

Indexed keywords

DATA AND INFORMATION; INDUSTRIAL SUSTAINABILITY; INDUSTRIAL SYSTEMS; INTERVAL-PARAMETER-BASED ANALYSIS; PERFORMANCE IMPROVEMENTS; TECHNOLOGY EVALUATION; TECHNOLOGY IDENTIFICATION; TECHNOLOGY-BASED; UNCERTAINTY;

DECISION MAKING; IDENTIFICATION (CONTROL SYSTEMS); INDUSTRY; UNCERTAINTY ANALYSIS;

TECHNOLOGY;

EID: 84860604748     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.13818     Document Type: Article

References (29)

1. Batterham RJ. Ten years of sustainability: where do we go from here. Chem Eng Sci. 2003; 58: 2167-2179.
2. Beloff B, Lines M, Tanzil D, editors. Transforming Sustainability Strategy into Action: the Chemical Industry. Hoboken, NJ: Wiley, 2005.
3. Parry GW. The characterization of uncertainty in probabilistic risk assessment of complex systems. Reliab Eng Syst Safe. 1996; 54: 119-126.
4. Ruszczynski A. Handbooks in Operations Research and Management Science: Stochastic Programming. New York: Elsevier, 2004.
5. Li YP, Huang GH, Nie SL. An interval-parameter multistage stochastic programming model for water resources management under uncertainty. Adv Water Resour. 2006; 29: 776-789.
6. Tucker WT, Ferson S. Probability Bounds Analysis in Environmental Risk Assessments, Applied Biomathematics. New York, NY: Setauket, 2003.
7. Moore RE. Interval Analysis. NJ: Prentice-Hall, 1966.
8. Ferson S, Kreinovich V, Ginzburg L, Myers DS, Sentz K. Constructing Probability Boxes and Dempster-Shafer Structures. SAND2002-4015, Albuquerque, NW: Sandia National Laboratories, 2003.
9. Walley P. Statistical Reasoning with Imprecise Probabilities. London: Chapman and Hall, 1991.
10. Piluso C, Huang YL. Collaborative profitable pollution prevention: an approach for the sustainable development of complex industrial zones with uncertain information. Clean Technol Environ Policy. 2009; 11: 307-322.
11. Piluso C, Huang J, Liu Z, Huang YL. Sustainability assessment of industrial systems under uncertainty: a fuzzy-logic-based approach to short-to-mid-term predictions. Ind Eng Chem Res. 2010; 49: 8633-8643.
12. Liu Z, Piluso C, Huang YL. Fuzzy logic based system modification for industrial sustainability enhancement. In: Design for Energy and the Environment. Chicago, IL: CRC Press, 2009: 841-849.
13. Sevionovic SP. Risk in sustainable water resources management. Sustainability of Water Resources under Increasing Uncertainty. In: Proceedings of Rabat Symposium, SI, Rabat, Morocco, April 1997.
14. Hersh MA. Sustainable decision making: the role of decision support systems. IEEE Trans Syst Man Cybern Part C Appl Rev. 1999; 29: 395-408.
15. Conner JA, Phillis YA, Manousiouthakis VI. On a sustainability interval index and its computation through global optimization. AIChE J 2011; 105: 60-63.
16. Ben-Haim Y. Information-Gap Decision Theory: Decisions Under Severe Uncertainty, 2nd ed. San Diego, CA: Academic Press, 2006.
17. Ben-Haim Y. Info-gap decision theory for engineering design. Or: why 'Good' is preferable to 'Best'. In: Engineering Design Reliability Handbook. Boca Raton, FL: CRC Press, 2005.
18. Hine D, Hall JW. Information gap analysis of flood model uncertainties and regional frequency analysis. Water Resour Res. 2010; 46: W01514: 19.
19. Gelman A. What is info-gap theory? 30 April 2009. Available at: Accessed on July 25, 2011.
20. Xia J, Huang GH, Bass B. Combination of differentiated prediction approach and interval analysis for the prediction of weather variables under uncertainty. J Environ Manage. 1997; 49: 95-106.
21. Lin QG, Huang GH. IPEM: an interval-parameter energy systems planning model. Energy Sources Part A. 2008; 30: 1382-1399.
22. Lu HW, Huang GH, Liu ZF, He L. Greenhouse gas mitigation-induced rough-interval programming for municipal solid waste management. J Air Waste Manage Assoc. 2008; 58: 1546-1559.
23. Lv Y, Huang GH, Li YP, Yang ZF, Li CH. Interval-based air quality index optimization model for regional environmental management under uncertainty. Environ Eng Sci. 2009; 26: 1585-1597.
24. Li YP, Huang GH, Guo P, Yang ZF, Nie SL. A dual-interval vertex analysis method and its application to environmental decision making under uncertainty. Eur J Oper Res. 2010; 200: 536-550.
25. IChemE. The sustainability Metrics-Sustainable Development Progress Metrics Recommended for Use in the Process Industries. Rugby, UK: IChemE, 2002: 105: 60-63.
26. Cobb C, Schuster D, Beloff B, Tanzil D. The AIChE sustainability index. Chem Eng Prog. 2009; 105: 60-63.
27. Zhang W, Dube MA, McLean DD, Kates M. Biodiesel production from waste cooking oil. 1. Process design and technological assessment. Bioresour Technol. 2003; 89: 1-6.
28. Glisic S, Skala D. The problems in design and detailed analyses of energy consumption for biodiesel synthesis at supercritical conditions. J Supercrit Fluids. 2009; 49: 293-301.
29. West AH, Posarac D, Ellis N. Assessment of four biodiesel production processes using HYSYS. Plant. Bioresour Technol. 2008; 99: 6587-6601.