Lot sizing with learning and forgetting in setups: Analytical results and insights

This article considers the dynamic lot sizing problem when there is learning and forgetting in setups. Learning in setups takes place with repetition when additional setups are made and forgetting takes place when there is a break between two successive setups. We allow the amount forgotten over a break to depend both on the length of the break and the amount of learning at the beginning of the break. The learning and forgetting functions we use are realistic. We present several analytical results and use these in developing computationally efficient algorithms for solving the problem. Some decision/forecast horizon results are also developed, and finally we present managerial insights based on our computational results. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 93–108, 2016     

Strategy in the Age of Artificial Intelligence

ABSTRACT

We argue that Artificial Intelligence (AI) will, in the very near future, have a profound impact on the conduct of strategy and will be disruptive of existing power balances. To do so, we review the psychological foundations of strategy and explore the ways in which AI will impact human decision-making. We then review current and evolving capabilities in ‘narrow’, modular AI that is optimised to perform in a particular environment, and explore its military potential. Lastly, we look ahead to the more distant prospect of a general AI.     

英语学习中的文化背景知识

分析了英语学习过程中文化背景知识的种类及其特性 ,阐明了这些背景知识对英语学习的影响 ,并介绍了获取这些文化背景知识的主要途径 .     

频率性规律在非专业英语学习中的窘迫地位及其挽救方法

频率性规律是英语学习本质而重要的特征,在阐明频率性规律在高校非专业英语学习中的窘迫地位之后,以频率性规律为理论模式,以高校非专业英语教学为实践框架,从单词、词组、语法和文化背景等4个方面,对如何挽回频率性规律在英语学习和教学中的重要地位进行了尝试。这种努力,对于解决高等院校非专业英语教学中学时和教学内容之间的尖锐矛盾,有重要的现实意义。     

Optimal production ramp-up in the smartphone manufacturing industry

Motivated by challenges in the smartphone manufacturing industry, we develop a dynamic production ramp-up model that can be applied to economically satisfy nonstationary demand for short-life-cycle products by high-tech companies. Due to shorter life cycles and more rapid evolution of smartphones, production ramp-up has been increasingly critical to the success of a new smartphone. In the production ramp-up, the key challenge is to match the increasing capacity to nonstationary demand. The high-tech smartphone manufacturers are urged to jointly consider the effect of increasing capacity and decreasing demand. We study the production planning problem using a high-dimensional Markov decision process (MDP) model to characterize the production ramp-up. To address the curse of dimensionality, we refine Monte Carlo tree search (MCTS) algorithm and theoretically analyze its convergence and computational complexity. In a real case study, we find that the MDP model achieves revenue improvement by stopping producing the existing product earlier than the benchmark policy. In synthetic instances, we validate that the proposed MCTS algorithm saves computation time without loss of solution quality compared with traditional value iteration algorithm. As part of the Lenovo production solution, our MDP model enables high-tech smartphone manufacturers to better plan the production ramp-up.     

基于深度神经网络的OFDM系统IQ不平衡补偿技术

正交频分复用(OFDM)是现代移动通信中一项重要的物理层通信技术,并且OFDM系统要求子载波间严格正交。然而在实际系统中,振荡器和滤波器等器件的非理想特性会导致同相正交(In-phase and Quadrature-phase,IQ)不平衡,从而破坏子载波的正交性,严重影响OFDM系统的性能。本文研究了IQ不平衡对OFDM系统的影响,提出了基于并联深度神经网络的IQ不平衡补偿技术。该算法利用了深度神经网络不依赖于模型的特点,直接从接收到的频域信号恢复原输入信号的二进制序列,并利用IQ不平衡的干扰信号来自镜像子载波的先验知识来初始化神经网络,加快其网络优化的收敛速度。仿真结果表明,该算法能有效地补偿IQ不平衡失真,并且在幅度和相位失真的补偿上,其性能都优于传统的导频的最小二乘（LS）估计补偿IQ不平衡的算法,证明了深度学习方法解决物理层问题的优越性。     

浅谈公安现役院校教育改革与学员个性发展

随着公安教育改革的不断深入,注重学员个性发展已成为公安教育改革的热点问题。公安现役院校学员个性化发展应从优化人才培养方案、创新管理体制、强化学员自主学习能力等方面进行探讨,以促进学员个性发展。     

公安现役院校英语学习环境的调查与思考

学习环境对于语言学习者至关重要,就外部环境和内部环境相互关系而言,外部环境影响人的学习态度和认知过程,内部环境控制外部环境的影响力。这些因素无疑能促进英语学习,但也可能在某种程度上阻碍英语学习的进步。在对几所公安现役部队院校的英语学习环境调查后发现,英语学习环境不容乐观,还有很多急需改进之处,应引起有关方面的重视。     

大学英语听说能力培养及策略

大学英语听说课是提高学生英语综合技能的训练课。听说教学,要坚持以学生为主体的教学观,从分析和解决问题入手,运用任务型教学和合作学习等模式,实施多种教学策略,帮助学生打好语言基本功,提高文化素养,全面培养学生的英语交际能力。     

充分利用现代教育技术 深化大学英语教学改革

现代教育技术为大学英语教学的发展带来了前所未有的契机。以《大学英语课程教学要求》中关于计算机辅助外语教学方面的主要内容为依据,结合现代教育技术的特点与优势,探讨了如何充分利用现代教育技术深化大学英语教学改革,全面提高教学质量。