[PDF] Top 20 Robust Optimization for a Multi Product Integrated Problem of Planning and Scheduling under Products Uncertainty

... the problem studied; Section 2 introduces the deterministic multi-product integrated model of planning and scheduling developed by Terrazas-Moreno & Grossmann [1]; Section 3 ... See full document

... returned products over multiple periods and ...a robust randomized optimization model has been designed to design a closed-loop supply chain network that works flexibly during ...definite ... See full document

... MSS problem that finds a robust solution approach for the allocation of surgical resources to a set of surgical groups in order to find a leveled patients queue lengths among different specialties that ... See full document

... allocation problem under the stochastic customer demand and cost parameters to design a supply ...the uncertainty, we adopted the scenario approach. We integrated the design of a supply chain ... See full document

... simple integrated P–D system comprising a single work center at a factory which produce multiple products, and a single ...sub-gradient optimization was implemented to coordinate the information flow ... See full document

... a robust and practical approach for solving a multiple product, multi- echelon ...transport products from warehouses to cross-docks and costs to supply products from cross-docks to ... See full document

... multiple products or supply chain stages) and becomes intractable for more than one exchange rate process (such as when operating in more than two ...single product deterministic ...profit-maximizing, ... See full document

... layout problem in CMS with stochastic demands, where the aim of objective function is to minimize inter-cell and intra-cell ...the problem with queuing theory, it was solved with new combination of the GA ... See full document

... an integrated model for allocating products under demand uncertainty in one of multinational electrical and electronic companies in ...of product assembly at the ... See full document

... The integrated cellular manufacturing problem consists of classical cell formation objectives, scheduling considerations and also, layout aspects in a supply chain ...manufacturing problem ... See full document

... the optimization process, continuous iteration and mutual coupling may cause the final result to have a large ...of uncertainty random variable in calculation, and the uncertainty of expectation and ... See full document

... represent the decision variables. Uk, Lk and f(x) represent, upper and lower bounds on the k th variable (k=1,…,n) and the objective function value, respectively. This heuristic algorithm has been inspired by the real ... See full document

... scheduling of power generation units only based on fuel costs may increase the generation of some units which results in increasing emission that has undesirable effects on the ...optimal scheduling of ... See full document

... The match between the predicted and the true trajectory is very good although a 2 km error in radius accumulated by the end of the second orbit. Once a first estimation of the coefficient is available, one can iterate ... See full document

... the products with possibilities to be ...high-demand product. When the product is not in stock and reconfiguration is expensive, the company has to be supplied for all the ...same product with ... See full document

... interval uncertainty it is assumed that just the information about the lower and upper bounds of the interval is ...design problem of system reliability as a nonlinear integer programming problem ... See full document

... [2] E. Niemi. Worker allocation in make-to-order assembly cells. Pergamon Press, Inc. (2009). [3] L.P. Zhang. A hybrid intelligent algorithm and rescheduling technique for job shop; scheduling problems with ... See full document

... OLS can find the exact CCS only when we can find exact solutions for all weights. This is an important limitation, be- cause it is often computationally infeasible to compute exact solutions for the (often large) MDPs ... See full document

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

... for uncertainty in customers and robust optimization for uncertainty in service ...used robust optimization to solve the problem by developed robust ... See full document