E-Commerce Supply Chain Process Optimization Based on Whole-Process Sharing of Internet of Things Identification Technology

With in-depth development of the Internet of Things(IoT)in various industries,the informatization process of various industries has also entered the fast lane.This article aims to solve the supply chain process problem in e-commerce,focusing on the specific application of Internet of Things technology in e-commerce.Warehousing logistics is an important link in today’s e-commerce transactions.This article proposes a distributed analysis method for RFID-based e-commerce warehousing process optimization and an e-commerce supply chain management process based on Internet of Things technology.This article first introduces the advantages and disadvantages of shared IoT identification technology and the IoT resource sharing platform based on the three-layer abstract data model and representational state transfer(REST)style.Combining actual IoT applications and the characteristics of an existing platform,a REST-based IoT resource sharing platform is proposed.Combined with actual projects,a REST-based IoT resource sharing platform was built,and key technology experiments were conducted for verification.Finally,optimizing the e-commerce supply chain management process under Internet of Things technology and explaining the advantages of optimized e-commerce supply chain management are discussed.Research on this subject provides a theoretical basis for the application of the Internet of Things in e-commerce and has practical significance and practical value for managing service capabilities and service levels in e-commerce.

Optimization of Preservation on Fresh-cut Yam under Simulated Cold-chain Process

[Objectives]This study was conducted to investigate the effect of compound fresh-keeping liquid on the browning and quality of fresh-cut yam during the cold chain process.[Methods]Under the simulated cold chain condition of 4℃,a uniform design(U6*(64))experiment was carried out to optimize the compound preservative formula,and a better compound preservative formula was obtained using the regression equation.[Results]The compound preservative formula was:AA 0.25%,CA 0.5%,Nisin 0.09%,GSH 0.15%.The compound fresh-keeping liquid effectively delayed the browning of fresh-cut yam and the accumulation of MDA,maintained the content of TSS,inhibited the activity of PAL and delayed the appearance of the maximum activity of POD and POD.[Conclusions]This study provides technical support for the actual extension of the shelf life of fresh-cut yam.

The Framework Model of Supply-Chain Process in CALS Environment

E-supply chain is the trend of the supply chain ma na gement. However, building E-supply chain depends on business process improvemen t and re-engineering, which becomes one of the important aspects in supply chai n management. However, the supply chain process re-engineering and improvement is constrained because of lack of integrating operation framework and standards based on information management. We find that the idea of CALS origins from DoD of USA can solve the problems very well. CALS is the abbreviation of "continues acquisition and life- cycle support". It is an information strategy adopted by many developed counties. The final objective of the CALS is that government a nd industry can generate, exchange, manage and use all the digital information t hroughout the lifecycle of a product in virtue of adopting the international and national standards, improving existing business process and introducing advance d technology. The Integrated Digital Environment (IDE) created by CALS provides a brand new operation mode for consumer, contractor and supplier in supply chain . Besides, a series mutual standard is involved in CALS system. These standards and the standardization technology would be applied widely in the supply chain. This study mainly focuses on supply chain process in CALS environment, and puts forward a framework model of supply chain process. Then the study analyzes the c haracteristics of the model, which includes the application of standards and inf ormation technology, and finally discusses on methods to achieve the supply chai n process in CALS environment.

Modeling and Analysis for Supply Chain Using Stochastic Process Algebra

In order to improve the influence of the uncertain and dynamic of node enterprise behavior on the performance of supply chain,the method based on stochastic process algebra for description,analysis,validation and evaluation of supply chain business process model is proposed.Firstly,the description of the uncertainty of node enterprise behavior is given using the extended Unified Modeling Language sequence diagram,and mapping rule is defined from the extended Unified Modeling Language sequence diagram to stochastic process algebra.Secondly,on the basis of the acquired stochastic process algebra model,the supply chain business process model is verified with Mobility Workbench.Finally,according to the operational semantics of stochastic process algebra,the continuous-time Markov chain,isomorphic with stochastic process algebra model,is built; and the system performance evaluation of transient status and stable status is respectively conducted in accordance with Markov transfer relations and the current state of system,obtaining the predicted performance value and average performance index value for a specific period of time.The simulation experiments show that the proposed method can accurately describe the stochastic behaviors of supply chain system and interactions among nodes,effectively verify the validity of the model,and objectively and exactly evaluate design of the supply chain.

CAx Process Chain for Automated Laser Drilling of Tool Molds

Rotation sintering, also known as slush molding, is used to manufacture molded skins, such as dashboards or door interior panels for cars. At present, approximately 80% of such molded skins are manufactured using electroforms to achieve the complex free-form surfaces, and surface structures, such as leather graining that the industry demands. The manufacture of these electroforms is, however, time-consuming and expensive. This project aims to replace conventional electroforms with laser-drilled molds. Holes in tool molds should be drilled by using laser radiation as part of an automated process. The system consists of a robot with a fiber-laser beam source. A CAx （computer-aided x） process chain has been developed for this purpose in which the CAD （computer-aided design） data of the tool molds are processed, drill hole fields generated, and a machine-specific RC （robot control） program created. Process-specific fundamentals, such as suitable process windows and process control, have been devised to manufacture holes using fiber laser radiation The advantages of the new laser-drilled tool molds may result in substituting them for conventional electroforms, allowing old markets to be re-entered or additional markets to be created and targeted through new molds or lower costs.

Process Reengineering of Cold Chain Logistics of Agricultural Products Based on Low-carbon Economy

Through the process analysis of cold chain logistics of agricultural products,we find that cold chain logistics of agricultural products contradict the development model of low-carbon economy to some extent.We apply the development idea of low-carbon economy,introduce the thirdparty logistics companies,establish distribution center of cold chain logistics of agricultural products,and strengthen information sharing,to reengineer the process of cold chain logistics of agricultural products in China.The results show that applying low-carbon economy to process reengineering of cold chain logistics of agricultural products,has advantages of increasing added value of products,promoting scale merit and abating lag,plays a role in promoting emission reduction,high efficiency and environmental protection in the process of cold chain logistics of agricultural products in China.

高等院校教师人才流动的Markov-chain预测模型

介绍并解析随机过程理论中的马尔科夫过程与马尔科夫链;针对高等院校教师人才流动变化过程,利用马尔科夫过程分析方法建立描述人员流动变化趋势的Markov-chain预测模型,详细阐述了模型的算法步骤.以某所高等院校教师人才流动的状态转移数据作为算例,运用新建立的预测模型,对该院校教师人才的流动趋势做出了预测分析.最后,将教师进修状态纳入分析范围,进行了教师职业生涯和职务发展趋势预测的深入分析.应用模型对实际算例的求解结果表明:Markov-chain预测模型及算法,叙述简洁、运算方便,为高等院校教师人才流动,乃至其他行业人才流动的预测提供了一种新的、有效的思路和方法.

The Rice Processing Industry in Nepal: Constraints and Opportunities

A rice mill survey covering diverse rice processing companies in terms of their milling output, type of technology and year of establishment was conducted to understand the current situation of the rice milling industry and to identify enablers and barriers to its growth in Nepal. Coarse rice varieties dominate Nepal’s rice processing industry, with a 42% share by total weight, followed by medium rice (34%) and fine varieties (less than 7%). Polished white rice (Arwa) was the dominant rice type in Nepal in the survey, followed by parboiled and steamed rice. The price and profit margins increased from coarse to fine rice varieties and from Arwa to parboiled and steamed rice. The cost of milling also followed a similar trend. The rice milling industry in Nepal largely influences the adoption or non-adoption of any specific type of rice variety by dictating specific brands in the market and this has important implications for rice research and development. The rice processing industry of Nepal was unable to compete with the Indian rice milling industry because of: 1) low profit margins due to the high cost of rice production and procurement, 2) a lack of economies of scale, 3) a lack of milling technologies for long and extra-long and steamed rice in the country and a lack of investment to modernize rice milling technology, and 4) unavailability of paddy throughout the year locally. Millers were willing to upgrade their rice milling technology to include high throughput parboiling, steamed rice as well as long and extra-long grain rice. This will be a strategic decision in counteracting the ever-increasing rice imports in Nepal. We believe that the findings of the study will be vital for formulating an appropriate rice research, development and rice processing strategy for Nepal to achieve food and nutritional security and the Sustainable Development Goals.

Numerical Modelling of the Powder Metallurgical Manufacturing Chain of High Strength Sintered Gears

This paper presents a digital model for the powder metallurgical(PM)production chain of high-performance sintered gears based on an integrated computational materials engineering(ICME)platform.Discrete and finite element methods(DEM and FEM)were combined to describe the macroscopic material response to the thermomechanical loads and process conditions during the entire production process.The microstructural evolution during the sintering process was predicted on the meso-scale using a Monte-Carlo Model.The effective elastic properties were determined by a homogenization method based on modelling a representative volume element(RVE).The results were subsequently used for the FE modelling of the heat treatment process.Through the development of multi-scale models,it was possible obtain characteristics of the microstructural features.The predicted hardness and residual stress distributions allowed the calculation of the tooth root load bearing capacity of the heat-treated sintered gears.

A Note on Markov Chains in Stationary Random Environments

We consider Markov chains in stationary random environments. The conservative set C of the corresponding skew Markov chain of this process can be thought of as a recurrent set of a standard Markov chain. In some simpler cases, we give some sufficient conditions under which the conservative set C can be decomposed into at most countable minimal closed sets.

Process-Functional Model of Transportation Mix Concrete

The paper proposes a process-functional model of transportation mix concrete, which is a structured description of a means of transportation technology mix concrete road at the level of the production process. Range of activities related to the transportation of concrete mixtures is presented in the form of hierarchically nested processes that are coordinated on the basis of general systems theory. The model is described in a strict sequence: process chain→process step→process link, and all built technological chains consist of indivisible units.

Process Signatures as a Measure for Loopless Production

Using control and repairing loops to remove production errors is not the only solution to increase the manufacturing yield. The production of errors can also be directly avoided, prevented or eliminated, even as early as in the planning phase. This paper suggests that the idea of Process Signatures can help to achieve Loopless Production. Loopless Production offers an option to guarantee the production quality towards the vision of the zero-defect manufacturing. It is considered that closed loops are used in a production process chain to identify and to correct the unknown and the systematic errors. These errors can actually be avoided through specifically adjusted or optimal arranged production processes. This puts a higher demand on the understanding of processes, which involve various energy-material interactions. This demand can be met via Process Signatures which aims to develop a process-independent description method of effects of processes. A supportive relationship is foreseen between Process Signatures and Loopless Production. The combination of these two ideas shall allow the simplification of the work for the rationalization of process sequences, the streamlining of closed loops as well as the selection of optimal substitute processes.

Option Pricing and Hedging under a Markov Switching Lévy Process Model

In this paper, we consider a Markov switching Lévy process model in which the underlying risky assets are driven by the stochastic exponential of Markov switching Lévy process and then apply the model to option pricing and hedging. In this model, the market interest rate, the volatility of the underlying risky assets and the N-state compensator,depend on unobservable states of the economy which are modeled by a continuous-time Hidden Markov process. We use the MEMM(minimal entropy martingale measure) as the equivalent martingale measure. The option price using this model is obtained by the Fourier transform method. We obtain a closed-form solution for the hedge ratio by applying the local risk minimizing hedging.

Conceptual Analysis of Contractual Relationship in Dairy Supply Chain

Dairy industry is the pillar of Heilongjiang Province. The contractual relationship of the dairy supply chain played a vital role in the dairy industry for development. The contractual relationship between the main dairy farming body and the dairy processing enterprise, as well as the impact of this contractual relationship on their cooperation in dairy supply chain were studied. Taking 366 dairy farming bodies in Heilongjiang Province as the main research objects, Likert scale was used to measure the factors affecting the contractual relationship and applied these factors to the correlation construction of dairy farming body and processing enterprise. Then, confirmatory factor analysis was used to collect data and made the conclusion that once dairy farming body perceived the opportunistic behavior and lacking of cooperation, the trust of dairy processing enterprise would be lost. Additionally, the satisfaction of dairy farming body on partnership also had a positive effect on the level of trust and commitment, the relative dependence and the perception of the partnerships, which made it possible to analyze how to strengthen the contractual relationship and provide theoretical basis for dairy industry development in Heilongjiang Province.

Modeling Abstraction Hierarchy Levels of the Cyber Attacks Using Random Process

Aspects of human behavior in cyber security allow more natural security to the user. This research focuses the appearance of anticipating cyber threats and their abstraction hierarchy levels on the mental picture levels of human. The study concerns the modeling of the behaviors of mental states of an individual under cyber attacks. The mental state of agents being not observable, we propose a non-stationary hidden Markov chain approach to model the agent mental behaviors. A renewal process based on a nonparametric estimation is also considered to investigate the spending time in a given mental state. In these approaches, the effects of the complexity of the cyber attacks are taken into account in the models.

MULTI-DIMENSIONAL MARKOV CHAIN–BASED ANALYSIS OF CONFLICT PROBABILITY FOR SPECTRUM RESOURCE SHARING

In this paper, we consider the optimal problem of channels sharing with het-erogeneous traffic （real-time service and non-real-time service） to reduce the data conflict probability of users. Moreover, a multi-dimensional Markov chain model is developed to analyze the performance of the proposed scheme. Meanwhile, performance metrics are derived. Numerical results show that the proposed scheme can effectively reduce the forced termination probability, blocking probability and spectrum utilization.

双循环背景下石化企业供应链韧性评价研究——基于AHP-BP方法

随着环境不确定性的提高,中国石化企业供应链稳定性需求日渐攀升,供应链韧性评价已经成为判断石化企业风险应对能力的重要手段。基于双循环背景,通过构建石化企业供应链韧性评估指标体系,利用层次分析法和BP神经网络,对石化企业供应链韧性强度进行评估,确定了供应链韧性水平。结果表明,各石化企业的供应链韧性强度存在较大差异,供应链韧性整体水平偏低。在研究结果的基础上,对韧性供应链锻造提出了切实可行的建议。

A Scheme for Mining State Association Rules of Process Object Based on Big Data

This paper devises a scheme which can discover the state association rules of process object. The scheme aims to dig the hidden close relationships of different links in process object. We adopt a method based on difference and extremum to compute the timing. Clustering is used to classifying the adjusted data, and the next is associating the clusters. Based on the rules of clusters, we produce the rules of links. Association degrees between each two links can be determined. It is easy to get association chains according to the degree. The state association rules that can be obtained in accordance with association rules are the final results. Some industry guidance can be directly summarized from the state association rules, and we can apply the guidance to improve the efficiency of production and operational in allied industries.

基于预测案例的马尔科夫链教学方法研究

马尔科夫链由于其对过去、现在、未来状态关系的物理内涵,是实际工程经常运用的数学概念,多用于对未来状态的预测,广泛应用于态势估计、模型构建、趋势预测等方面中。在高校随机过程课程安排中,针对马尔科夫链的教学内容公式化,学生理解较浅,不利于工程实践能力培养。该文重点采用案例教学法,以飞机目标跟踪预测实际工程案例为主线,马尔科夫链物理内涵实现的课程内容为辅线,结合生活中诸多案例讲授本节课程的教学重点及其应用,激发学生对随机过程课程的探索兴趣,锻炼学生自主思考能力。课程强调理论与实践相结合体系,提升学生运用课程内容解决实际问题的能力,并根据马尔科夫链的物理内涵,启发学生保持对未来积极向上、努力拼搏的精神。

数字孪生技术驱动产业链创新链融合发展的内涵、特征与实现路径

产业链创新链(以下简称“双链”)融合发展是国内国际双循环格局下的必然要求,但链结构差异、网络碎片化、政策非协同等问题影响其流转效率及协同效果。在创新范式转变中,数字孪生技术展现出独特的动态过程映射和实时双向互动能力,为创新管理带来新思路。基于对“双链”内涵、融合现状与数字孪生技术特征、使能作用的系统性梳理,提出以数字孪生技术驱动“双链”融合发展的实现路径,在数字化标准表达与数据融合中实现全过程整合,跨越时间和空间的尺度实现互动与协同。具体来看,数字孪生技术在促进产业链创新链全过程整合与全时空交互中调节“双链”上下游各参与主体在运行机制、认知或目标上的结构性差异,控制产业网络和创新网络在发展过程中的碎片化趋向,转变产业政策与创新政策在设计布局、资源分配上的非协同问题,实现从单点优化范式到“双链”协同范式的重构与升级。然而,数字孪生技术仍存在技术实现、隐私安全、权责管理方面的不足,有待进一步探索和研究。