Data envelopment analysis (DEA) has been widely applied to address various decision problems due its usefulness in evaluating multi‐criterion systems and providing improvement targets for such systems. A supplier selection problem is inherently a problem, DEA evaluate suppliers an individual product. This paper proposes demonstrates the application of overall performances manufacturing firm. simplified model first presented with strategic orientation being able reduce number suppliers. case...

Each major US railroad ships millions of cars over its network annually. To reduce the intermediate handlings shipments as they travel network, a set is classified (or grouped together) at yard to create block. The blocking problem identify this classification plan for all yards in minimize total shipment cost, i.e., plan. very large-scale, multicommodity, flow-network-design and routing with billions decision variables. Its size mathematical difficulty preclude solving it using any...

As distributed generations (DG) and electric vehicles (EV) are widely integrated into power systems, the network has undergone significant changes in structure, function, operational characteristics. Therefore, effective management control of energy sources EV charging by system operators becomes necessary. In this paper, physical characteristics new systems summarized. The influence DG connected to on planning is analyzed. Then, based review existing models, problems technical difficulties...

This paper proposes a bilevel game-theoretic model for multiple strategic retailers participating in both wholesale and local electricity markets while considering customers' switching behaviors. At the upper level, each retailer maximizes its own profit by making optimal pricing decisions retail market bidding day-ahead (DAW) power exchange (LPE) markets. The interaction among is formulated using Bertrand competition model. For lower there are three optimization problems. First, welfare...

To mitigate voltage limit issues in the operation of a novel electromagnetic regulation device, this paper presents flexible loop-closing control strategy with optimization. The approach uses two-stage path optimization: first stage, phase at point is adjusted to ensure smooth operation, while second magnitude optimized prevent limits and achieve seamless regulation. By integrating angle difference calculations coordinated rotation control, simulation results show that reduces current by...

Accurately predicting wind power is crucial for the large-scale grid-connected of and increase absorption proportion. To improve forecasting accuracy power, a hybrid model using data preprocessing strategy improved extreme learning machine with kernel (KELM) proposed, which mainly includes following stages. Firstly, Pearson correlation coefficient calculated to determine degree between multiple factors reduce redundancy. Then, complementary ensemble empirical mode decomposition (CEEMD)...

As one of the most widely installed utility-scale storage facilities, pumped hydro (PSH) plays an essential role in providing flexibility for power systems worldwide. Thus, to accurately quantify PSH units operational optimization problems is important. The conventional models literature rarely consider detailed state transitions due their hourly-based settings. However, it becomes imperative on short-term intervals, especially with increasing shares renewable energy systems. To this end,...

Abstract In this paper, an effective decision process method is proposed to address the challenge in a multiple criteria decision‐making (MCDM) problem because of large number criteria. This based on reduction, tolerance relation, and prospect theory (PT). By building discernibility matrix for relation (DMTR) MCDM with numerical values or interval numbers, first allows us recognize set critical from pool, ignore other Next, it establishes weights through DMTR as they are usually not...

To improve the efficiency and quality of solving expensive engineering design optimization problems, recently metamodel-based technologies have been widely employed. In this paper, a novel adaptive method called sequential radial basis function using support vector machine is proposed to solve practical problems involving computationally objective constraints. The uses metamodel approximate simulations in interesting sampling region, which subregion space. identify feature space fuzzy -means...

Purpose China is a critical factor for constructing an all-round well-off society. Infrastructure construction, especially high-grade highways, in the western area essential component of strategy large-scale development west China. It crucial to evaluate investment projects highways and select best one. Testing selecting one can be recognized as multicriteria decision-making (MCDM) problem. In this process, decision-makers (DMs) usually face with uncertain information because complicated...

Purpose Emerging in recent years, digital transformation has become an effective approach for firms to remain competitive the economy. Although this trend received increasing interest business world, there remains a lack of empirical research on organizational capacities that facilitate transformation. To fill gap, we investigate relationship between adaptive capacity configuration and performance Design/methodology/approach We use fuzzy-set qualitative comparative analysis (fsQCA) identify...

In this study, we analyze how customer perceptions of ex ante unfairness affect a service provider that offers priority option. Customers differ in their waiting time costs, but information is private to each customer. To address issue and maximize revenue, the regular queue with an additional fee, thereby inducing self‐selection customers into those two queues. The make service‐joining decision, based on publicized terms, before entering queue. such system, pay reduce time, which increases...

Introduction: To achieve the “dual carbon” goal, integrated energy system (IES) needs to take into account both economic and low-carbon requirements while meeting growing demand. Methods: Therefore, an optimal scheduling model for operation is proposed. Firstly, a more accurate carbon emission used consider actual of gas load, improve original model. A ladder-type trading mechanism introduced further constrain IES. Then, demand-side response proposed, which uses time-of-use price mutual...