检索结果-内蒙古大学图书馆

IEEE International Conference on Industrial Engineering and Engineering Management

作者： Ashutosh Kumar Thakur Indrajit Mukherjee Shailesh J. Mehta School of Management Indian Institute of Technology Bombay Mumbai India

ISBN: (数字)9798350386097

ISBN: (纸本)9798350386103

This study addresses supplier selection and order allocation (SS&OA) strategy for multi-component assembly products considering demand uncertainties and disruption risks. We propose a novel multi-stage stochastic bi-objective mixed-integer linear programming (MILP) model leveraging the augmented- $\varepsilon$-constraint 2 method (AUGMECON2) to optimize total cost and purchasing value. The model incorporates disruptions, allows flexible order fulfilment, and integrates a comprehensive supplier evaluation process considering qualitative and quantitative criteria. Furthermore, an optimisation-based simulation procedure, based on a rolling planning horizon framework, is used to approximate the solution. The findings reveal diminishing returns on purchasing value with increasing costs. The optimal sourcing strategy depends on minimum order quantity (MOQ). Multiple sourcing excels under MOQ due to demand responsiveness, while dual sourcing offers superior cost efficiency without MOQ. Additionally, multiple sourcing outperforms in managing inventory levels. Sensitivity analysis confirms these trends and the impact of Bill-of-Materials complexity, supplier count, and demand variability on cost and service level. Finally, this research provides valuable insights for manufacturers in dynamic environments, enabling them to optimize SS&OA decisions and achieve improved supply chain performance.

关键词： Costs Uncertainty Sensitivity analysis Supply chains Stochastic processes programming Planning mixed integer linear programming Resource management Assembly

来源：评论

学校读者我要写书评

暂无评论

Multi-product joint delivery planning in a retailers’ network under resource constraints

引用

International Journal of Systems Science: Operations and Logistics 2015年第3期2卷 125-134页

作者： Rahmouni, Mouna Hennet, Jean-Claude Fnaiech, Farhat Centre National de la Recherche Scientifique (CNRS) Aix Marseille University Marseille France Ecole Nationale Supérieure des Arts et métiers (ENSAM) Toulon University Marseille France Laboratory of Signal Image and Energy Mastery Higher School of Engineering of Tunis (ENSIT) University of Tunis Tunis Tunisia

The main objective of the JRP (joint replenishment problem) is to build a delivery programme so as to satisfy local demands while minimising the total cost including ordering and storage costs. The classical nonlinear formulation of this problem can be seen as a multi-product and multi-site extension of the economic order quantity (EOQ) problem. If demand rates are fixed and known, the problem allows a periodic solution, in which an optimal delivery programme repeats indefinitely. In the unconstrained case, the delivery plan has two levels of periodicity: a global periodicity for the delivery sequence and a particular periodicity for each product and site. The main purpose of this paper is to combine in the same model grouping, transportation, and storage issues. Constraints on transportation capacity and routing are introduced in a linear reformulation of the problem, leading to a better coordination of delivery schedules with respect to products and sites. The superiority of the proposed method is that it provides the optimal route of delivery for each tour and permits minimisation of the maximal delivery capacity, whereas other existing methods could not offer such important features. © 2015, © 2015 Taylor & Francis.

关键词： inventory theory joint replenishment problem Lagrangian relaxation mixed integer linear programming optimisation

来源：评论

学校读者我要写书评

暂无评论

Decomposition of the Location Problem in a Hybrid Clustering-Location Model

Decomposition of the Location Problem in a Hybrid Clustering...

引用

International Conference on Computers & Industrial Engineering (CIE)

作者： Arnaldo Rabello de Aguiar Vallim Filho Computer Science Department Mackenzie Presbyterian University Brazil

Operations research is usually employed to solve the facility location problem, mainly using mixed integer linear programming (MILP). Meanwhile, some MILP models were not originally designed to solve a large class of location problems, corresponding to those where customers are served in a routing operation. In this case location and routing decisions are strongly interrelated. Moreover, this modeling approach has the difficult of facing a NP-hard problem situation, which means a very high algorithm complexity. Therefore, for large-scale problems the computational times are practically infeasible. This paper has developed an alternative method using a hybrid approach to solve the location problem, taking into account these two aspects: the NP- hard situation and the routing operation. The suggestion is to decompose the problem through a clustering procedure applied to the demand points, followed by the application of an optimization model to each cluster. The proposal appeared to be effective when applied to a set of test problems used on a conducted experiment designed to validate the method.

关键词： Polynomials Operations research Routing mixed integer linear programming NP-hard problem Large-scale systems Proposals Logistics Genetic algorithms Computer science

来源：评论

学校读者我要写书评

暂无评论

Integrated Infrastructure Strategy for Sustainable Electrical Vehicles Charging Stations and Transportation Networks

Integrated Infrastructure Strategy for Sustainable Electrica...

引用

IEEE Power India Conference

作者： Digambar Singh Govind Manoj Fozdar Department of Electrical Engineering Malaviya National Institute of Technology Jaipur India

ISBN: (数字)9798350367065

ISBN: (纸本)9798350367072

The adoption of Electric Vehicles(EVs) is growing because of their environment-friendly properties and more efficient, With the increasing shift toward EVs, the need for a robust and well-coordinated charging infrastructure has become critical. The current lack of sufficient Fast Charging Stations (FCS) poses a significant challenge to supporting widespread EV usage. Proper planning of charging stations, both in terms of location and capacity, is essential to accommodate rising EV demand. Complicating this process is the interdependence between Transportation Networks (TN) and Power Distribution Networks (PDN), which requires a unified approach for efficient large-scale EV integration. This paper introduces a coordinated planning approach for integrating EV charging stations within both TN and PDN frameworks. A detailed optimization model is presented to identify the optimal locations and capacities for charging stations based on EV traffic patterns and power network capabilities. The traffic flow across the transportation network is modelled using an unconstrained traffic assignment method, while the PDN is represented through a linearized power flow model. To capture the complex interactions between TN and PDN, the model employs a mixed-integer linear programming (MILP) framework that incorporates constraints from both networks. Through simulations on coupled traffic and power networks, the proposed approach demonstrates its effectiveness in optimizing EV charging infrastructure, facilitating a smoother transition to electric mobility.

关键词： Optimization models Transportation Traffic control Probabilistic logic Electric vehicle charging Planning Power systems mixed integer linear programming Reliability Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

Considering Disturbance Scenarios in Clustered Inertia-Aware Generation Expansion Planning

Considering Disturbance Scenarios in Clustered Inertia-Aware...

引用

IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Oussama Alaya Taiseer Alhaj Ali Benedikt Jahn Hendrik Lens Faculty 4 IFK Power Generation and Automatic Control Group University of Stuttgart

ISBN: (数字)9798350390421

ISBN: (纸本)9798350390438

The transition to a carbon-neutral power system requires replacing conventional generation with distributed renewable energy (RE) sources. This poses challenges related to reduced system inertia and large and long-distance power transmission in the system. This paper presents a novel generation expansion planning (GEP) methodology called inertia-aware clustered generation expansion planning (I-CGEP). The I-CGEP approach integrates spatial clustering and generator clustering to optimize discrete generation expansion options while avoiding overestimation of system inertia. The model incorporates advanced Rate of Change of Frequency (RoCoF) constraints that, in addition to standard constraints following predefined outages, also account for the expected power imbalance resulting from large disturbance scenarios such as regional islanding. The entire problem is formulated as a mixed-integer linear programming (MILP) problem. The proof of concept of the methodology is demonstrated using the open European transmission system model PyPSA-Eur. The results show its suitability for maintaining the required RoCoF under different scenarios.

关键词： Renewable energy sources Islanding Europe Power transmission Generators Planning Smart grids Safety mixed integer linear programming Standards

来源：评论

学校读者我要写书评

暂无评论

ISO's optimal strategies for scheduling the hourly demand response in day-ahead markets

ISO's optimal strategies for scheduling the hourly demand re...

引用

IEEE General Meeting Power& Energy Society

作者： Masood Parvania Mahmud Fotuhi-Firuzabad Mohammad Shahidehpour University of California Davis Davis CA US

Summary from only given. This paper presents a hierarchical demand response (DR) bidding framework in the day-ahead energy markets which integrates customer DR preferences and characteristics in the ISO's market clearing process. In the proposed framework, load aggregators submit aggregated DR offers to the ISO which would centrally optimize final decisions on aggregators' DR contributions in wholesale markets. The hourly load reduction strategies include load shifting and curtailment and the use of onsite generation and energy storage systems. The ISO applies mixed-integer linear programming (MILP) to the solution of the proposed DR model in the day-ahead market clearing problem. The proposed model is implemented using a 6-bus system and the IEEE-RTS, and several studies are conducted to demonstrate the merits of the proposed DR model.

关键词： Load management ISO Load modeling Processor scheduling Computers Energy storage mixed integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Cycle-Configuration: A Novel Graph-theoretic Descriptor Set for Molecular Inference

Cycle-Configuration: A Novel Graph-theoretic Descriptor Set ...

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Bowen Song Jianshen Zhu Naveed Ahmed Azam Kazuya Haraguchi Liang Zhao Tatsuya Akutsu Graduate School of Informatics Kyoto University Kyoto Japan Department of Mathematics Quaid-i-Azam University Islamabad Pakistan Graduate School of Advanced Integrated Studies in Human Survavibility Kyoto University Kyoto Japan Institute for Chemical Research Kyoto University Kyoto Japan

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

In this paper, we propose a novel family of descriptors of chemical graphs, named cycle-configuration (CC), that can be used in the standard "two-layered (2L) model" of mol-infer, a molecular inference framework based on mixed integer linear programming (MILP) and machine learning (ML). Proposed descriptors capture the notion of ortho/meta/para patterns that appear in aromatic rings, which has been impossible in the framework so far. Computational experiments show that, when the new descriptors are supplied, we can construct prediction functions of similar or better performance for all of the 27 tested chemical properties. We also provide an MILP formulation that asks for a chemical graph with desired properties under the 2L model with CC descriptors (2L+CC model). We show that a chemical graph with up to 50 non-hydrogen vertices can be inferred in a practical time.

关键词： Computational modeling Biological system modeling Machine learning mixed integer linear programming Bioinformatics Chemicals Standards

来源：评论

学校读者我要写书评

暂无评论

Rebalancing in bike sharing systems: Application to the Lisbon case study

引用

CASE STUDIES ON TRANSPORT POLICY 2023年 13卷

作者： Chastre, Miguel R. Andrade, Antonio R. Univ Lisbon IDMEC Inst Super Tecn Lisbon Portugal

This work presents a mathematical programming formulation for the static Bike Rebalancing Problem to meet the practical constraints faced by the operators of Bike Sharing Systems. Adaptating a mixed integer linear programming formulation, it now includes different types of vehicles and bicycles, the autonomy of each vehicle, the duration of its route and the stations that require inspection actions. An intermediate station is introduced to temporarily store bicycles, relaxing the restrictions imposed by the vehicles' capacity. After incorporating different acceleration procedures, a Branch-and-Cut scheme is run for 30 min to find optimized routes for the reposition vehicle on five real instances of the Lisbon Bike Sharing System. The computed routes resulted in a 30% to 75% decrease in total length, when compared to the real routes. This decrease is mainly attributed to the integration of all the mentioned factors in one global model, encouraging its future implementation.

关键词： Bike Sharing System Bike Rebalancing Problem Repositioning mixed integer linear programming Branch-and-Cut

来源：评论

学校读者我要写书评

暂无评论

Scheduling with a weight-modifying activity to minimize the total weighted completion time

引用

Omega (United Kingdom) 2024年 128卷

作者： Lin, Bertrand M.T. Liu, Shu-Wei Mosheiov, Gur Institute of Information Management National Yang Ming Chiao Tung University Hsinchu Taiwan Syntec Technology Co. Ltd. Hsinchu Taiwan School of Business Administration The Hebrew University Jerusalem Israel

This paper considers a single-machine scheduling problem to minimize the total weighted completion time with a weight modifying activity, after which the job weights are discounted by a given factor. The problem is known to be ordinary NP-hard. We propose two mixed integer linear programs (MILPs) and a dynamic programming algorithm to optimally solve the problem. Optimality properties are established and then formulated as pruning constraints to improve the problem-solving efficiency of the MILPs. Special cases are discussed and shown to be solvable by polynomial time algorithms. Complexity status of the studied problem with several instance characteristics is shown. Computational experiments indicate that the optimality properties can reduce the computing efforts and that one of the proposed MILPs can solve instances of 200 jobs in a few seconds. © 2024 Elsevier Ltd

关键词： Dynamic programming mixed integer linear programming Single-machine scheduling Weight modifying activity

来源：评论

学校读者我要写书评

暂无评论

An integrated production-distribution optimization model for multinational manufacturing corporations

引用

INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT 2024年第1期19卷 29-45页

作者： Bhutta, M. Khurrum S. Alhawari, Omar I. I. Mohamed, Zubair M. M. Ohio Univ Coll Business Athens OH USA Ohio Univ Ind & Syst Engn Dept Athens OH 45701 USA Bowling Green State Univ Schmidthorst Coll Business Bowling Green OH USA

In proposing an integrated production-distribution model for multinational corporations (MNC), the current research undertakes a novel, simultaneous consideration of facility location, capacity acquisition/disposal, labor, manufacturing, purchasing, exchange rates, tariffs, and container and/or individual shipping factors. Unlike prior studies that examined some such factors. Based on real-world data from a window manufacturing MNC, a mixed integer linear programming model is developed and solved using CPLEX Solver. It reveals how the different features affect the base solution. Specifically, increased demand pushes more manufacturing to US and UK facilities rather than (low-cost) Chinese facilities;it helps meets some of China's demand and leads to reduced total tariff costs. Decreased demand instead favors the Chinese facility, and the increase in tariff costs can be offset by savings in manufacturing and transportation costs. Changes to the factors have insignificant effects on the production and distribution mix, with little to no impact on total profits, because these costs are lower than capacity costs. The comprehensive proposed model provides firms with a framework for obtaining meaningful insights into how they can maintain their operations in sustainable, profitable ways. This research also should assist policymakers in making informed decisions regarding regulations on production and distribution strategies.

关键词： Multinational corporation optimization integrated modeling mixed integer linear programming container shipment supply chain network

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：