نتایج جستجو برای: we formulate a mixed integer non

تعداد نتایج: 13995359  

In this paper, robust optimization of a bi-objective mathematical model in a dynamic cell formation problem considering labor utilization with uncertain data is carried out. The robust approach is used to reduce the effects of fluctuations of the uncertain parameters with regards to all the possible future scenarios. In this research, cost parameters of the cell formation and demand fluctuation...

In this paper we investigate the sub-channel assignment and power control to maximize the total sum rate in the uplink of two-cell network. It is assumed that there are some sub-channels in each cell which should be allocated among some users. Also, each user is subjected to a power constraint. The underlying problem is a non-convex mixed integer non-linear optimization problem which does not h...

2016
Jun Yang Lian

The study follows a concept of “cooperative cover" and vehicle-refueling logics, using a mixed integer programming to formulate the recharging stations location model to meet user's demand with minimum cost. We will apply it to a reasonable program and analysis the difference of the new model compared with traditional ones.

2004
Kavinesh J. Singh

We present a stochastic model for capacity-expansion planning of electricity distribution networks subject to uncertain demand (CEP). We formulate CEP as a multistage stochastic mixed-integer program with a scenario-tree representation of uncertainty. At each node of the scenario-tree, the model determines capacity-expansions, operating con guration, and power ows. A “super-arc” representation ...

In order to implement the cellular manufacturing system in practice, some essential factors should be taken into account. In this paper, a new mathematical model for cellular manufacturing system considering different production factors including alternative process routings and machine reliability with stochastic arrival and service times in a dynamic environment is proposed. Also because of t...

R. Ramezanian,

In this paper, we consider a flow shop scheduling problem with availability constraints (FSSPAC) for the objective of minimizing the makespan. In such a problem, machines are not continuously available for processing jobs due to preventive maintenance activities. We proposed a mixed-integer linear programming (MILP) model for this problem which can generate non-permutation schedules. Furthermor...

Mirmajlesi, S. R., Salehi, M.,

In this paper, mathematical models are proposed for simultaneously modeling location and inventory control decisions in a four echelon supply chain network considering capacity. The echelons considered in this paper include suppliers, warehouses, hubs and retailers. The aim of the model is to minimize the location, transportation and inventory control costs. Hence, a non-linear mixed integer pr...

Afagh Zandi Fatemeh Fardis Vahidreza Ghezavati

Clustering parts and machines into part families and machine cells is a major decision in the design of cellular manufacturing systems which is defined as cell formation. This paper presents a non-linear mixed integer programming model to design cellular manufacturing systems which assumes that the arrival rate of parts into cells and machine service rate are stochastic parameters and descri...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده مهندسی 1389

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

Journal: :Computers & OR 1990
Ue-Pyng Wen Y. H. Yang

Several algorithms have been developed to solve the two-level linear programming problem during the past years. In this paper, we will formulate the mixed integer two-level linear programming problem and develop both the exact and heuristic solution procedures based on the branch-and-Lund technique for solving the problem. Computational experience and comparisons will be presented.

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