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Minimizing waiting times at transitional nodes for public bus transportation in Greece

OPERATIONAL RESEARCH 2014年第3期14卷 341-359页

作者： Saharidis, George K. D. Dimitropoulos, Charalampos Skordilis, Erotokritos Univ Thessaly Leoforos Athinon Dept Mech Engn Volos 38834 Greece Kathikas Inst Res & Technol Paphos Cyprus

Scheduling of transit networks is one of the most addressed problems in the mathematical optimization science, due to the increase of public transportation in the last decade. Researchers have introduced various formulations to address the problem of timetabling, using different objectives like bus synchronization and passenger demand. In this paper, we present a mixed-integer linear programming formulation with the objective of minimizing passenger waiting times at transitional transfer nodes, taking also into consideration high passenger demand that occurs at certain times.

关键词： Minimizing waiting time Public transportation mixed-integer linear programming Transitional nodes

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Energy Management of a Multi-Agent Based Multi-Microgrid System 6

Energy Management of a Multi-Agent Based Multi-Microgrid Sys...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (IEEE PES APPEEC)

作者： Ren, J. S. Tan, K. T. Sivaneasan, B. So, P. L. Gunawan, E. Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore

ISBN: (纸本)9781479975372

This paper presents a model-based optimization algorithm for short-term energy trading in a multi-microgrid system. The multi-microgrid system has a hierarchical design architecture which is based on the Multi-Agent System (MAS) concept. mixed-integer linear programming (MILP) which takes into consideration multiple constraints is used to obtain the optimum amount of power that will be generated, sold, or stored for the Energy Management System (EMS) of the multi-microgrid system at different time intervals. By using the proposed optimization algorithm, the EMS will ensure that power balance in the multi-microgrid system is achieved through energy trading between different interconnecting microgrids. The proposed optimization algorithm and hierarchical multi-microgrid system design architecture have the capability to ensure that the multi-microgrid system operates in a coordinated and economic manner. The design concept is demonstrated through different test case scenarios and the results obtained are discussed.

关键词： Hierarchical architecture energy management multi-agent system multi-microgrid mixed-integer linear programming

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Stochastic Optimization Formulations for Reliability Unit Commitment Runs

Stochastic Optimization Formulations for Reliability Unit Co...

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IEEE PES General Meeting

作者： Pan, Kai Lu, Yang Guan, Yongpei Watson, Jean-Paul Univ Florida Dept Ind & Syst Engn Gainesville FL 32611 USA

ISBN: (纸本)9781479964154

To address the uncertainties caused by the penetration of intermittent renewable energy, most ISOs/RTOs perform day-ahead and look-ahead reliability unit commitment (RUC) runs, ensuring sufficient generation capacity available in real time to accommodate the uncertainties. Two-stage stochastic optimization models have been studied extensively to strengthen the RUC runs, while multi-stage stochastic optimization models were barely studied. In this paper, we investigate the unit commitment and economic dispatch decision differences generated by these two approaches considering the load uncertainties in the system. The stochasticity is represented by a set of scenarios for the two-stage model and a scenario tree for the multi-stage case.

关键词： Unit commitment mixed-integer linear programming two-stage stochastic optimization multi-stage stochastic optimization

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Tighter Security Bound of MIBS Block Cipher against Differential Attack 8

Tighter Security Bound of MIBS Block Cipher against Differen...

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8th International Conference on Network and System Security (NSS)

作者： Ma, Xiaoshuang Hu, Lei Sun, Siwei Qiao, Kexin Shan, Jinyong Chinese Acad Sci Inst Informat Engn State Key Lab Informat Secur Beijing 100093 Peoples R China

ISBN: (纸本)9783319116983;9783319116976

Automatically calculating a lower bound of the number of differentially active S-boxes by mixed-integer linear programming (MILP) is a technique proposed by Mouha et al. in 2011 and it can significantly reduce the time spent on security evaluation of a cipher and decrease the possibility of human errors in cryptanalysis. In this paper, we apply the MILP method to analyze the security of MIBS, a lightweight block cipher proposed by Izadi et al. in 2009. By adding more constraints in the MILP problem, we get tighter lower bounds on the numbers of differentially active S-boxes in MIBS. We show that for MIBS, 18 rounds of iterations are sufficient to resist against single-key differential attack, and 39 rounds are secure against related-key differential cryptanalysis.

关键词： MIBS block cipher Differential attack Active S-box mixed-integer linear programming

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A New Optimization Model for Closed-Loop Supply Chain Networks

A New Optimization Model for Closed-Loop Supply Chain Networ...

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IEEE International Technology Management Conference (ITMC)

作者： Elahi, Behin Franchetti, Matthew Univ Toledo MIME Dept Toledo OH 43606 USA

ISBN: (纸本)9781479933129

Increasing environmental concerns require businesses to become more responsive to products that either have been returned or that are at the end of their useful lives. Organization's responsiveness and their reactions toward life cycles of products are critical to achieve sustained success once fluctuations are recurrent and the business environments are turbulent. Life cycles are getting shorter, and efficient handling can save large amounts of cash since many materials can be extracted, reused, and redistributed. Reverse Logistics (RL) and Closed Loop Supply Chains (CLSC) have garnered growing interest as a way to manage this reverse flow of products in a cost effective way. It is discernible that the degree of complexity in closed loop networks is usually higher than open networks. In a closed loop supply chain network, the attempt is to ensure a smooth flow of materials as well as extracting the maximum value from returning and end-of-life goods. Reduction of waste and generating profit for enterprises are two paramount achievements through integrating forward and reverse logistics. By considering various proposed conceptual models for CLSC, in this study at first we present a comprehensive applicable conceptual model. Then, we specifically focus on a CLSC network, which includes multiple plants, collection centers, demand markets, and products. To this aim, a generalized proposed mixed-integer linear programming model is presented that minimizes the total cost. The objective is to know how many, which production plants and Return Processors (Collection sites) should be open, which products, and in which quantities should have stuck. The goal of this model is to minimize the supply chain waste and reduce supply chain costs. In such a way, the supply chain system can be agile, integrated, robust, and lean. The proposed model can be extended to consider more environmental factors. Moreover, the efficacy and efficiency of that have been validated by case study and

关键词： Closed Loop Supply Chain Product Life Cycle Remanufacturing Optimization mixed-integer linear programming

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Integrating demand response market into energy/reserve market: A bilevel approach

Integrating demand response market into energy/reserve marke...

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Smart Grid Conference

作者： Saebi, Javad Javidi, Mohammad Hossein Duy Thanh Nguyen Ferdowsi Univ Mashhad Dept Elect Engn Mashhad Iran Univ Tasmania Sch Engn Hobart Australia Univ Tasmania ICT Hobart Australia

ISBN: (纸本)9781479983155

The concept of demand response (DR) market, which recently introduced, is a comprehensive approach to schedule DR. DR market is a separate market in which DR is treated as a virtual resource to be exchanged between DR buyers and sellers. The major advantage of the DR market in comparison to other DR proposals is that it allocates benefits and payments across all participants, fairly. However, there are still obstacles to its integration into the existing power markets. This paper tries to address technical and economical issues towards integrating DR market into energy/reserve markets. For this purpose, a bilevel approach is proposed for clearing joint energy/reserve and DR markets whose upper-level problem determines system requirements for reserve using N-1 contingency criteria, and whose lower-level problem clears the DR market. The resulting nonlinear bilevel programming problem is translated into an equivalent single-level mixed-integer linear programming problem by replacing the lower-level problem by its Karush-Kuhn-Tucker optimality conditions and converting a number of nonlinearities to linear equivalents using some well-known techniques. Finally, a simple case study is used to verify the efficiency of the proposed approach.

关键词： Demand response market reserve markets bilevel programming mixed-integer linear programming

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The block planning approach for continuous time-based dynamic lot sizing and scheduling

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Business Research 2014年第1期7卷 51-76页

作者： Günther, Hans-Otto Department of Industrial Engineering Seoul National University Seoul 151-744 South Korea

This paper calls for a change in paradigm in lot sizing and scheduling. Traditionally, a discrete time scale is chosen to model lot sizing and scheduling. As an alternative, the so-called block planning concept is proposed which is based on a continuous representation of time. A mixed-integer linear optimization model is presented that determines the size and the time phasing of the individual production lots in a single-stage production system under the objective of minimizing the makespan. The modelling approach presented here assumes the grouping of product variants into setup families and the production of product variants within a family in a pre-defined sequence. Numerical results demonstrate the practicability of this approach under experimental conditions which reflect typical settings from a leading company in the European beverage industry. © 2014, The Author(s).

关键词： Block planning Lot sizing and scheduling mixed-integer linear programming

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Chance-constrained Supply Function Equilibrium Model of Electricity Markets with Wind Generation

Chance-constrained Supply Function Equilibrium Model of Elec...

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IEEE Region 10 Conference (TENCON)

作者： Pacaba, Dominic Dave P. Nerves, Allan C. Univ Philippines Diliman Elect & Elect Engn Inst Quezon City Philippines

ISBN: (纸本)9781479940752

The increase in wind generation in an electric power system also increases the uncertainty in supply and can affect how Generating Companies (GenCos) strategize in the electricity market thereby also affecting electricity prices. The study introduces a method for simulating the effects of different wind generation conditions on GenCo market strategy and on electricity market prices. A supply function equilibrium model is formulated for the electricity market, with a chance constraint added to accommodate the introduction of wind generation resources. The chance constraint used indicates the probability of the demand being satisfied by the supply, which translates to the probability of the amount of generation from wind resources. The study determines the effects of system confidence level, wind penetration level, wind probability parameters, and wind turbine parameters on the market clearing price, GenCo strategy, and GenCo market share. Although the increase in wind generation decreases the electricity market price, prices do not decrease proportionally with respect to increasing wind generation due to the changes in the strategies of GenCos.

关键词： electricity market modelling supply function equilibrium chance constraint programming mixed-integer linear programming wind power generation

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Reliable capacity planning despite uncertain disassembly, regeneration and reassembly workloads by using statistical and mathematical approaches - Validation in subsidiaries of a global MRO company with operations in Asia, Europe and North America 5th

Reliable capacity planning despite uncertain disassembly, re...

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5th CIRP Conference on Assembly Technologies and Systems (CATS)

作者： Eickemeyer, Steffen C. Steinkamp, Simon Schuster, Bernhardt Bodenhage, Frank Nyhuis, Peter Univ Hannover Prod Engn Ctr Hannover PZH Inst Prod Syst & Logist IFA Prod Management Res Grp D-30824 Garbsen Germany Univ Hannover Prod Engn Ctr Hannover PZH Inst Prod Syst & Logist IFA D-30824 Garbsen Germany MTU Maintenance Canada Ltd Engn & Tech Support Richmond BC V7B 1B4 Canada MTU Maintenance Zhuhai Co Ltd Zhuhai 519030 Peoples R China Univ Hannover Inst Prod Syst & Logist IFA D-30824 Garbsen Germany Inst Integrierte Prod Hannover gGmbH D-30824 Garbsen Germany

The MRO industry faces substantial challenges with regard to the capacity planning of disassembly and reassembly work. This is due to the unknown workloads when regenerating complex investment goods and is caused, in particular, by the uncertain degree of disassembly and the complex challenges of reassembly. Forecasting techniques based on Bayesian networks are developed along with mathematical models which optimize capacity utilization, job order and the resulting costs. The approaches are tested and validated in conjunction with an MRO company with global operations. The results show possibilities for enhancing the planning processes and are found to be transferable on an international scale regardless of sociocultural and process differences. (C) 2014 Published by Elsevier B.V.

关键词： Bayesian networks capacity planning complex capital goods damage library data mining disassembly forecast maintenance mixed-integer linear programming MRO reassembly regeneration

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Extreme Nash Equilibrium of Poly matrix Games in Electricity Market

Extreme Nash Equilibrium of Poly matrix Games in Electricity...

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IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)

作者： Sharma, Kailash Chand Bhakar, Rohit Tiwari, Harpal Malaviya Natl Inst Technol Dept Elect Engn Jaipur Rajasthan India Univ Bath Fac Engn & Design Bath Avon England

ISBN: (纸本)9781479940400

Game theoretical approaches are widely used for the analysis of oligopolistic electricity markets. Nash equilibrium is a solution concept of game theoretical approaches. Due to existence of mixed strategy equilibrium and large number of multiple players, finding Nash equilibrium for problems in electricity market is a difficult task. To resolve these difficulties, this paper proposes a simplified approach for finding extreme Nash equilibrium, based on payoff matrix approach and mixed integer linear programming (MILP). To illustrate the proposed approach, a practical case study of Cournot poly-matrix game is considered. Eliminating constraints are appended on the proposed approach to find a global optimal solution. Obtained results show the strength of proposed approach, in terms of simplicity and computational time.

关键词： Electricity market poly-matrix game Nash equilibrium payoff matrix approach mixed-integer linear programming

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