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Our approach applies mixed integer modelling techniques to the superstructure optimisation of process flowsheets.
Over a long-range planning horizon, the methodology utilizes mixed integer modelling techniques to address strategic decisions involving the selection, allocation and capacity expansion of processing technologies and assignment of transportation links required to satisfy the demands at the markets.
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A 0 1 mixed integer model of the problem is formulated.
The proposed mixed integer model is implemented in commercial optimization solver CPLEX 12.6.3.
So a new multi-objective mixed integer model is presented for DCMS.
This work presents a new mixed integer model for a single-route circulator design problem.
This problem is formulated as bi-level nonlinear mixed integer model.
The proposed bi-objective mixed integer model minimizes total earliness-tardiness and makespan simultaneously.
For larger instances we propose a heuristic approach based on a linear programming relaxation of the mixed integer model.
The objective of the proposed bi-objective mixed integer model is minimizing total earliness-tardiness costs and makespan simultaneously.
A general linear mixed integer model is designed considering the business processes of a product life cycle.
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