The traditional performance evaluation method, which is mainly based on financial indexes, is no longer applicable to the current dynamic, complex, and coordinated evaluation of the service quality of fresh agricultural produce supply chains. Comprehensive evaluations regarding the quality of coordination-based supply chain services are now required. Specific analyses of index weights, the identification of potential problems, the exploration of the best solutions, and efforts to improve the current situation-regarding the circulation of fresh agricultural products-are also required. By carrying out this research, this paper aims to construct a coordination-based service quality evaluation index system for the fresh agricultural produce supply chain platform. The evaluation system that was created covered the four dimensions involved in platform supply chain coordination. These dimensions are capital flow, logistics, business flow, and information flow. On this basis, this study designed a survey questionnaire to collect data to evaluate customer service quality satisfaction. The research used AHP and the Fuzzy Comprehensive Evaluation method to calculate and analyze indexes and models in the "Fresh Networking" project. Furthermore, this paper proposed a sensitivity analysis model of MCDM evaluation indexes and their weights. In order to verify whether the numerical analysis method was suitable for use in the MCDM evaluation system, in this paper, the sensitivity analysis process of the indexes and their weights was introduced in the evaluation of the "Fresh Networking" project. The evaluation results may reflect the real quality of service in the "Fresh Network" supply chain. The final conclusion to be drawn from this paper is that capital flow is the most sensitive weight, which means that it should be designed and implemented in accordance with optimization-based decisions. The novelty of this paper lies in: (1) the proposal of a coordination-based service quality evaluation index system which includes four dimensions: capital flow, logistics, business flow, and information flow; (2) the design of a research questionnaire for data collection; and (3) the introduction of an improved sensitivity analysis method for the MCDM index. The results presented in this paper will enrich the theoretical research related to MCDM in supply chain evaluations. The results of the analysis can be used to guide supply chain decision makers to make optimization decisions accordingly, which will ensure overall benefits in terms of supply chain coordination, improving the capacity of preservation services, and loss reduction.

At present, with the gradual promotion of Chinese life quality, the pursuit of diverse, fresh to agricultural food has become a trend. Agri-fresh food logistics began to penetrate into all aspects of daily life. Meanwhile, industrial convergence theory is the demand generated in this realistic environment. Learned from main scholars’ research results in the field of LSQ evaluation and industrial convergence and combined with relevant issues discovered during empirical survey, However, China's emergency logistics is still at the initial stage of development, and the development of China's agricultural and fresh food emergency logistics is also at the exploratory stage. There are widespread problems in China's agricultural and fresh food emergency logistics industry, such as the defects of the emergency logistics service quality supervision system. It is of great significance to carry out the theoretical and applied research on the LSQ evaluation index system of agricultural and fresh food. At present, although there are many researches on the quality of emergency logistics service of fresh agricultural food at home and abroad, their research direction mainly focuses on the application of relatively mature quality management theories and methods to the quality management of emergency logistics of fresh agricultural food. There is no definite conclusion on the quality evaluation index of emergency logistics service of fresh agricultural food, and the evaluation system for the quality of emergency logistics service of fresh agricultural food has not been established, this paper established a agri-fresh food LSQ evaluation index system, which includes four dimensions: fresh-keeping capability, operation capability, communication capability and information capability. At the same time, the paper also designed a research questionnaire to collect data, and the used AHP and fuzzy comprehensive evaluation on empirical application analysis. It is expected to provide necessary theoretical reference and practical guidance for the future related research, and fill the gap in this research field. The result score indicated that enterprises have relatively high level of agri-fresh food logistics service and higher customer satisfaction. At the same time, the paper found that communication capability was “general”. It is the place where enterprises need to make improvement in the future. Innovation: The innovation of this paper lies in the innovation of practical value. The research object of this paper is to take Wuhan “Justasy” Agricultural Science and Technology Co., Ltd. in Hubei Province as an example to study the quality of emergency logistics service for fresh agricultural food. In the past, the quality of emergency logistics service for fresh agricultural food at home and abroad has largely remained at the theoretical level. This study builds an evaluation index system for the quality of emergency logistics service for fresh agricultural food, It provides a tool for evaluating the emergency logistics service quality of an enterprise, which also helps the enterprise to continuously improve its own service level and customer satisfaction; As well as the innovation in theory, the article puts forward four evaluation indexes of fresh-keeping ability, business ability, communication ability and information ability to build the LSQ evaluation index system of fresh agricultural food, so as to evaluate the level of enterprise's fresh agricultural logistics service.

The paper present theoretical and experimental studies of the energy dissipation performance of a composite structure composed in a multilayer nano-composite damping coating applied on a tungsten carbide shim and placed beneath the cutting insert. The coated shim placed closed to the cutting zone is subjected to high compressive and shear stresses as well as high temperature. Therefore, apart from high damping capacity it requires high stiffness and high thermal resistance. The coated shim dissipates the high frequency oscillations produced at the tool-chip and tool-workpiece interfaces during the chip forming process. The use of coated shims demonstrates that the tool life is considerably extended, while the machined surface integrity is improved. The Reuss model of the composite structure composed of a phase with a stiff, low loss factor and a phase with high loss factor is used to calculate the optimal coating thickness that gives high loss factor combined with high stiffness. The synthesis process of the coating material using HiPIMS process is discussed. The physical characteristics of the coating and the machining performance are presented in the experimental section.

Transition toward circular-economy model is a must to sustain the planet sources. Under circular economy model wastewater is transformed from a ste into a resource. Therefore, a comprehensive circular economy dex; the Circonomics Index, is proposed to measure circularity of stewater industry. The component indicators of the index are linked rectly to the three Rs; reduce, reuse and recycle, of circular onomy. The novelty of the proposed Index is that it uses objectively nstructed weights that reflect the environmental benefits of the eatment process, and the index captures the reuse and recycling ficiency of an WWTP, which reflect the specific nature of wastewater. e findings show that treatment technology is a major factor in termining the production efficiency, reuse rate and recycling rformance of a WWTP. The results of using the Circonomics Index have ofound implication for policy makers to speed up the process of moving a circular economy.

Machining of parts by using dedicated production systems has been, and continues to be, a viable manufacturing method. There are situations, however, where this type of system is not feasible due to changes in product type, customer demand, work-piece material, or design specification. From a competitive manufacturing environment, production system selection is a crucial issue for all component manufacturing companies. Improper selections could negatively affect the overall performance of a manufacturing system, for instance the productivity, as well as the cost and quality of manufactured components. In this paper, the application of system dynamics modelling and simulation of a complex manufacturing process is presented as a potential tool to investigate and analyse the performance of manufacturing system in response to disturbances in the system's inputs (e.g., volume of products). In order to investigate the model soundness, a case study applied to the manufacturing of an engine block will be examined. The model presented here has been developed based on current engine block production for the vehicle manufacturing industry. Such a model can assist manufacturing system selection-centered round the capacity to control machining system parameters -as a testable way to choose a machining strategy from pre-selected performance criteria. More specifically, the benefit of this research lies in the fact that it will enable companies to implement improved potential manufacturing system optimization that responds during unexpected demand fluctuations. In addition, it will help in understanding the complex interaction between the process and operational parameters of a manufacturing system and help identify those critical parameters, ones that can lead to an optimizing strategy in the manufacturing standards of engine block production.

In this chapter the subject of statistical dynamics are discussed and non-parametric and parametric models for machining system identification are derived. The common characteristic for all discussed models is that they may be used for computing the operational dynamic parameters (ODP) of the closed loop machining system. Though the input to these models originates from the machining operations, not all models can be implemented for real-time identification. Generally, non-parametric models may be used solely for off-line identification, i.e., first recording the vibration signal from machining operations and then analysing the signal and identifying the nature of the excitation. Parametric models implemented in recursive algorithms are used for real-time identification of machining systems dynamic characteristics. 

The main objectives of the chapter are: (i) the development of parametric and non-parametric models based on identification techniques with the purpose of integrating into a single step within the estimation of dynamic parameters characterising the machining system, (ii) in non-parametric identification, implementing techniques for ODPs and random excitation estimation, (iii) in parametric identification, the development of the recursive computational model of the machining system based on the data obtained during the actual operational regime. Through these contributions, a step is taken beyond the classical approach to analyse the dynamics of a machining system by separately identifying the structural and process parameters. In the proposed process, the two substructures, tool/toolholder and workpiece/fixture, are coupled, in addition to the open loop (elastic structure of the machine tool), by a feedback loop closing the energy loop, through the thermoplastic chip formation mechanism.

The machining system can only be completely analysed only in closed loop i.e. in operational conditions since specially designed off-line experiments with controlled input, such as modal testing, give the response from only the open loop.

During the metal cutting operation, heat generation at the cutting interface and the resulting heat distribution among tool, chip, workpiece, and cutting environment has a significant impact on the overall cutting process. Tool life, rate of tool wear, and dimensional accuracy of the machined surface are linked with the heat transfer. In order to develop a precise numerical model for machining, convective heat transfer coefficient is required to simulate the effect of a coolant. Previous literature provides a large operating range of values for the convective heat transfer coefficients, with no clear indication about the selection criterion. In this study, a coupling procedure based on finite element (FE) analysis and computational fluid dynamics (CFD) has been suggested to obtain the optimum value of the convective heat transfer coefficient. In this novel methodology, first the cutting temperature was attained from the FE-based simulation using a logical arbitrary value of convective heat transfer coefficient. The FE-based temperature result was taken as a heat source point on the solid domain of the cutting insert and computational fluid dynamics modeling was executed to examine the convective heat transfer coefficient under similar condition of air interaction. The methodology provided encouraging results by reducing error from 22 to 15% between the values of experimental and simulated cutting temperatures. The methodology revealed encouraging potential to investigate convective heat transfer coefficients under different cutting environments. The incorporation of CFD modeling technique in the area of metal cutting will also benefit other peers working in the similar areas of interest.

Abrasive waterjet technology is one of the fastest growing metal cutting technologies. When used in conjunction with conventional metal cutting methods, abrasive waterjet cutting can be both cost saving and environmentally favorable. This paper shows that when processing hard to cut alloys, abrasive waterjet will be an excellent hybrid alternative. Reaming and drilling have traditionally been used to produce turbine blisks. Reaming is a highly expensive method since it uses very large amounts of cutting tools. Especially when cutting hard materials such as Nickel alloys, tools have to be replaced after only a few minutes of usage. By applying abrasive waterjet cutting to part of the process, the cost for tooling can be almost entirely eliminated. It will also increase the return profit for revert material and greatly reduce environmental emissions. This is because reaming and drilling produce chips while large amounts of cutting fluids are being used. Abrasive waterjet cutting will produce one large metal chunk per cut and uses no cutting fluids. This paper presents a method to combine abrasive waterjet cutting with reaming and drilling.

Agricultural e-commerce will be the production and processing of agricultural products, organic combination of transportation storage and distribution sales process, the omni-directional into e-commerce system, through the computer information network, and with their own production base and advanced logistics distribution system as the backing, the convenience of using the Internet, to complete the purchase of agricultural products, sales, online payment and other related business process. Developing agricultural e-commerce is conducive to promoting agricultural development and farmers' income, and the "family farm", as a large-scale, intensive, the commercialization of agricultural management system, complied with the trend of the development of electronic commerce, so as to speed up the development of e-commerce, highlight the function mechanism of "family farm" in the agricultural e-commerce mechanism.

To be competitive in a manufacturing environment by providing optimal performance in terms of cost-effectiveness and swiftness of system changes, there is a need for flexible production systems based on a well-defined strategy. Companies are steadily looking for methodology to evaluate, improve and update the performance of manufacturing systems for processing operations. Implementation of an adequate strategy for these systems' flexibility requires a deep understanding of the intricate interactions between the machining process parameters and the manufacturing system's operational parameters. This paper proposes a framework/generic model for one of the most common metal cutting operations-the boring process of an engine block machining system. A system dynamics modelling approach is presented for modelling the structure of machining system parameters of the boring process, key performance parameters and their intrinsic relationships. The model is based on a case study performed in a company manufacturing engine blocks for heavy vehicles. The approach could allow for performance evaluation of an engine block manufacturing system condition. The presented model enables a basis for other similar processes and industries producing discrete parts.