Researcher: Oruç, Cihan
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Oruç, Cihan
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Publication Metadata only Synergy analysis of collaborative supply chain management in energy systems using multi-period MILP(Elsevier Science Bv, 2006) Fujita, Kaoru; Asakura, Tatsuyuki; N/A; N/A; Department of Industrial Engineering; Soylu, Ahu; Oruç, Cihan; Türkay, Metin; Master Student; Master Student; Faculty Member; Department of Industrial Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A; 24956Energy, a fundamental entity of modern life, is usually produced using fossil fuels as the primary raw material. A consequence of burning fossil fuels is the emission of environmentally harmful substances. Energy production systems generate steam and electricity that are served to different customers to satisfy their energy requirement. The improvement of economical and environmental performance of energy production systems is a major issue due to central role of energy in every industrial activity. A systematic approach to identify the synergy among different energy systems is addressed in this paper. The multi-period and discrete-continuous nature of the energy production systems including investment costs are modeled using MILP. The proposed approach is applied on two examples that are simplified versions of an industrial problem. It is shown that the approach presented in this paper is very effective in identifying the synergy among different companies to improve their economical and environmental performance significantly.Publication Metadata only Multi-company collaborative supply chain management with economical and environmental considerations(Elsevier, 2004) Fujita, K; Asakura, T; Department of Industrial Engineering; N/A; Türkay, Metin; Oruç, Cihan; Faculty Member; Master Student; Department of Industrial Engineering; College of Engineering; Graduate School of Sciences and Engineering; 24956; N/AProcess systems must interact with other systems for a better production performance. The interaction among process systems is usually established when these systems exchange materials such as steam and electricity. Integrated analysis of different process systems can provide valuable insight and also identify improvements in the financial and environmental performance of industrial supply chain systems. A systematic approach to identify the synergy among different process systems has been developed. The proposed approach uses three steps; the generation of standardized models for process units, integration of process unit models for the supply chain system and solution of the model and analysis of the results. The developed approach is illustrated with an example that is a simplified version of a real problem and tested on an industrial problem. It is shown that important improvements in the cost and release of environmentally harmful emissions can be accomplished by integration of different process systems.