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Optimization of facility location and reallocation in an industrial plant through a multi-annual framework accounting for economic and safety issues
Institution:1. Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán 58060, Mexico;2. Chemical Engineering Department, Texas A&M University, College Station, TX 77843, USA;3. Adjunct Faculty at the Chemical and Materials Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia;1. Department of Mechanical Engineering, University of Ottawa, Ottawa, Canada;2. School of Mathematics, University of Leeds, Leeds, UK;3. Blue Dog Scientific Ltd., Wakefield, UK;1. College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi Province 712100, PR China;2. Key Laboratory of Plant Nutrition and the Agri-environment in Northwest China, Ministry of Agriculture, Yangling, Shaanxi 712100, PR China;3. Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi Province 712100, PR China;1. Department of Nuclear Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 501-709, Republic of Korea;2. Department of Safety Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea;1. Physikalisch-Technische Bundesanstalt (PTB), Bundesallee 100, 38116 Braunschweig, Germany;2. Karlsruhe Institute of Technology (KIT), Kaiserstraße 12, 76131 Karlsruhe, Germany
Abstract:The industrial layout traditionally has been addressed accounting for the facilities distribution and installation since the first day of operation of the plant; this is, without considering future expansions that involve additional facilities in the future operation years. This way, this paper proposes a mathematical programming formulation for the optimal facility sitting and reallocation in an industry accounting for future expansions and involving simultaneously economic and safety objectives. The proposed formulation is based on a multi-annual framework and this corresponds to a multi-objective mixed integer linear programming problem. The proposed optimization approach was applied to a case study for the facility sitting (office buildings and control rooms) in an ethylene oxide plant. The economic objective function involves the minimization of the total annual cost accounting for the value of the money through the time and the safety objective function involves the minimization for the accumulated risk over the operation time. Results show the applicability of the proposed approach.
Keywords:Retrofit  Facility location  Multi-objective optimization  Facility layout  Risk minimization
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