Linear mixed integer optimization model

This study, we present three-stage supply chain network (SCN) coordination and profit optimization of agricultural products considering uncertainties. Most of the agricultural products are in general cost expensive with high risk in probability due to its fluctuating prices. To develop a Mixed Integer Linear Programming (MILP) model and analyze the situation of insufficient production capacity for the producer as the reason for shortages.

11p longtimenosee07 29-03-2024 2 2   Download

In this study, we explore reseach methodologi, industry and the aspect of uncertainty. We make an analysis uncertainty for the topic, approach, model formulation and make comparison of uncertainty reseach area. The most used approach and method on uncertainty are Mixed Integer Linear Programing, mixed integer nonlinear Programing, Robust Fuzzy Stochastic Programming, and Improved kriging-assisted robust optimization method. Customer demand, total cost, product returns are the most widely researched aspects.

11p longtimenosee07 29-03-2024 2 2   Download

This paper focuses on an exact algorithm for solving NP-hard combinatorial optimization problems which frequently requires significant specialized knowledge and trial and error, especially, Mixed Integer Linear Programs (MILP). This challenging, tedious process can be automated by learning the algorithms instead.

6p visystrom 22-11-2023 4 4   Download

This paper proposes a mixed-integer linear programming (MILP) model aiming to optimize the topology of transmission networks considering power loss. The proposed MILP model is converted from the MINLP model using the piecewise linearization technique and precisely linearizing the product of the binary and continuous variables. The objective function of the TNEP problem in this study is to minimize the total cost of the power system, including the investment cost for new transmission lines, maintenance cost, cost related to energy losses loss, and production cost of generators.

9p giangnhanly 02-10-2023 3 3   Download

In the electricity market operation, wholesale electricity prices or Locational Marginal Prices (LMP) vary according to electric demand (including consumption power consumed, bidding prices and the level of price-sensitivity) as well as the penetration level of the wind power. The variable domain identification of LMP plays a very important role for market participants to assess and mitigate the risk on account of the uncertainty of wind power output forecasting.

5p vispyker 16-11-2022 3 1   Download

In this article, mixed integer linear programming of python (MIP) is used to model this problem with varying input data. The result shows that with small input data the modelling code of MIP executing quickly and converging to optimal value, while large scale input data require plenty of computation time; thereby algorithm improvement as well as parallel implementation are suggested.

6p viporsche 28-10-2022 3 2   Download

This paper presents a model for cooptimization of transmission topology and generation dispatch based on a two-stage stochastic optimization. Demand response and renewable energy uncertainty are integrated into the proposed model.

6p vichristinelagarde 04-07-2022 8 1   Download

This paper presents an optimization model to determine the optimal BESS parameters to be installed in an isolated system with renewable energy sources. The effects of different factors, namely the project duration and the load growth rate, are analyzed.

4p vistephenhawking 26-04-2022 8 2   Download

In this thesis, we investigate the problem of IoT services deployment in Cloud-Fog system to provide IoT services with minimal resource usage cost. We for-mulate the problem using a Mixed-Integer Linear Programming model taking into account the characteristics of computing and transmission resources in Cloud-Fog system as well as the IoT services specific requirements.

55p tamynhan0 04-07-2020 11 2   Download

In order to describe this scenario more appropriately, the continuously reviewed Economic Production Quantity (EPQ) model is considered in this research work. The main goal is to identify the optimal production uptime and the production reorder point that ultimately minimize the expected value of total cost consisting of machine setup, deterioration, inventory holding, shortage and corrective maintenance cost.

14p toritori 11-05-2020 19 2   Download

Energy storage systems (ESSs) have experienced a very rapid growth in recent years and are expected to be a promising tool in order to improving power system reliability and being economically efficient. The ESSs possess many potential benefits in various areas in the electric power systems. One of the main benefits of an ESS, especially a bulk unit, relies on smoothing the load pattern by decreasing on-peak and increasing off-peak loads, known as load leveling. These devices require new methods and tools in order to model and optimize their effects in the power system studies.

13p kequaidan1 16-11-2019 11 0   Download

In the electricity market operation, electricity prices or Locational Marginal Prices (LMP) vary according to both electric demand and the penetration level of the wind power. The variable domain identification of LMP plays a very important role for market participants to assess and mitigate the risk on account of the combined uncertainty of wind power and demand.

6p visasuke2711 25-04-2019 29 1   Download

Stimulated by the expressed managers’ need for some completed methods for environmental management in enterprises, we present the method for environmentally oriented business decision-making. It is based on simulations where optimization models of business processes are used as scenarios. The possibilities for an integrated approach to environmental protection are introduced and – decomposed according to the type of the considered element by using zero-one variables – included in the optimization models.

18p vinguyentuongdanh 20-12-2018 35 1   Download

This paper presents multi-period linearized optimal power flow (MPLOPF) with the consideration of transmission network losses and Thyristor Controlled Series Compensators. The transmission losses are represented using piecewise linear approximation based on line flows. In addition, the nonlinearity due to the impedance variation of transmission line with TCSC is linearized deploying the big-M based complementary constraints.

6p vidanh95 12-12-2018 28 0   Download