[PDF] Top 20 A nonlinear multi objective model for the product portfolio optimization: An integer programming

... the product portfolio optimization reviewed above, environmental effects has been ignored in the suggested ...considering product effects on the environment during its lifecycle is an ... See full document

... as multi-objective Nonlinear Programming Problem (MONLPP) and a Fuzzy goal programming method is used to work out the compromise allocation in multi-objective selective ... See full document

... apply multi-objective models (MOMs) for solving the cell formation ...bi- objective model for solving the CFP that minimizes the inter-cell movements and cell loading unbalances ...a ... See full document

... of multi-objective multimodal ...of multi-objective China-Europe railway ...the optimization model and ob- tained the optimization result by using the transportation time ... See full document

... consider multi-objective optimization problems arising from the domain of the design of nonlinear ...the product profit and to minimize simultaneously the Fixed Capital Investment, by ... See full document

... presented model could be used to find applicable solutions in cross-docking ...the model presented by Zhu et ...our model minimizing the total transportation cost considering the volume of goods from ... See full document

... a multi-objective and multi-service location-allocation model with capacity planning to design a healthcare facility network considering a referral ...mixed- integer nonlinear ... See full document

... Mathematical programming is widely used in modeling CMS ...p-median model in the presence of alternative ...a product mix or demand level may vary under a multi-period planning ... See full document

... mathematical model based on operations sequence, intracellular layout, lot splitting, alternative process routing, duplicate machines, multi-period production planning, system reconfiguration, machine ... See full document

... logistic model. They presented a single-period and single-product Mixed Integer Linear Programming (MILP) for integration of their logistic ...the model using scenario-based stochastic ... See full document

... mixed-integer programming (MIP) to solve the supply chain optimization ...MIP model was formulated for the multiple commodity location ... See full document

... mixed integer linear programming (MILP) optimization model to solve the partner selection, and production planning problem in the design of manufacturing chains operating under a multi- ... See full document

... mixed integer mathematical model for the integration of Anbessa city bus and Addisababa light rail transit was formulated, the objective of their study was to maximize number of simultaneous ... See full document

... Conventional portfolio optimization models have an as-assumption that the future condition of stock market can be accurately predicted by historical ...the multi-objective programming ... See full document

... project portfolio selection and scheduling problem has received significant ...efficient multi-objective approach to satisfy every conflicting objective, an integer non- linear goal ... See full document

... Stochastic Programming (SP) is a well-known approach to handle uncertainties in optimization ...stochastic optimization approach the uncertain model parameters are considered random variables ... See full document

... multiple objective mixed integer linear programming model allowing the consideration of modular expansion capacity values of supply-side ...its objective in their ...MOMILP model ... See full document

... quadratic optimization model into a mixed-integer quadratic programming problem which is an NP-hard prob- lem [6, ...constrained portfolio optimization problem [5, 6, 35, ...the ... See full document

... convex nonlinear programming ...parametric multi-objective nonli- near programming ...of multi-objective nonlinear pro- gramming problems with fuzzy parameters in ... See full document

... mathematical programming is to satisfy the fuzzy objective, a decision in a fuzzy environment is thus defined as the intersection of those membership functions corresponding to fuzzy objectives ... See full document