Participatory Technique Supporting Environmental Management: A Systematic and Bibliometric Review

The increasing need to manage natural resources sustainably, driven by population growth, requires the simultaneous use of Participatory Techniques (PT) and landscape planning for structured decision-making. We conducted a bibliometric and systematic review to provide an overview of PT usage, identifying evolution in scientific production. We considered the number of publications and citations, prominent journals, and highly cited articles on scientific papers published in the Web of Science database between 1993 and 2023. A total of 415 articles related to PT were identified. After content evaluation, 19 critical articles were selected that underpin the growing combined use of models and indices with PT, enhancing the robustness and credibility of decision-making processes.

An Edge-Fog-Cloud Computing-Based Digital Twin Model for Prognostics Health Management of Process Manufacturing Systems

The prognostics health management(PHM)fromthe systematic viewis critical to the healthy continuous operation of processmanufacturing systems(PMS),with different kinds of dynamic interference events.This paper proposes a three leveled digital twinmodel for the systematic PHMof PMSs.The unit-leveled digital twinmodel of each basic device unit of PMSs is constructed based on edge computing,which can provide real-time monitoring and analysis of the device status.The station-leveled digital twin models in the PMSs are designed to optimize and control the process parameters,which are deployed for the manufacturing execution on the fog server.The shop-leveled digital twin maintenancemodel is designed for production planning,which gives production instructions fromthe private industrial cloud server.To cope with the dynamic disturbances of a PMS,a big data-driven framework is proposed to control the three-level digital twin models,which contains indicator prediction,influence evaluation,and decisionmaking.Finally,a case study with a real chemical fiber system is introduced to illustrate the effectiveness of the digital twin model with edge-fog-cloud computing for the systematic PHM of PMSs.The result demonstrates that the three-leveled digital twin model for the systematic PHM in PMSs works well in the system’s respects.

Layout Planning Technology of Cellular Manufacturing System Based on Process Interconnection Analysis

With sustaining change of production mode,layout planning is no longer a thing built once for all.Cellular layout(CL) is becoming a hotspot in the research field of manufacturing system layout.Traditional researches on layout planning are mainly concentrating on aspects of layout arithmetic,style and evaluation,etc.Relatively seldom efforts are paid to CL and its specific problems as cell formation(CF),equipment sharing and CL analysis.Through problem analyzing of layout in cellular manufacturing system(CMS),research approach of cell formation,interactive layout and layout analysis threaded with process interconnection relationship(PIR) is proposed.Typical key technologies in CL like CF technology based on similarity analysis of part processes,interactive visual layout technology,layout evaluation technology founded on PIR analysis and algorithm of cell equipment sharing are put forward.Against the background of one enterprise which encounters problems of low utility of key equipments and disperse material logistic,an example of four-cell layout is given.The CL adjustment and analysis results show that equipment with high level of sharing degree should be disposed around the boundary of its main cell,and be near to other sharing cells as possible; process route should be centralized by all means,so equipment adjustment is to be implemented along direction that route intersection can be decreased; giving consideration to the existence of discrete cell,logistic route and its density should be centralized to cells formed.The proposed research can help improve equipment utility and material logistic efficiency of CL,and can be popularized to other application availably.

Information System for Land-Use Planning and Management

In order to maintain the overall social interest in land use and improve the level of land administration, an information system for land-use planning and management （ISLUPM） was established, which is composed of presentation layer, business logic layer and data layer in the general structure. The application support platform of the ISLUPM, built based on COM, COM ＋ and .NET standard components, includes data engine, data management, assemblies, components management, operation management, and interface. Then, an elaboration was made on major functions of the ISLUPM, such as planning revision scheme, planning operation flow, digital processing, thematic analysis and inquiry, and preparation of the chart of reserved land resources. The developed system has been successfully applied to the land-use planning and management work of Longquanyi District, Chengdu, China. It may provide a reference for development of geographic information system （GIS） for land and resources.

Recovery Planning and Management Control System in Company Crisis

The main goal of this paper is to analyze situations of financial crisis in Italian companies. The analysis has also been focused on the company＇s attitude to overcome the financial crisis. Secondly, the authors have analyzed if the recovery project has required the introduction of a new management control system or changes to the existing management control system. The methodology is composed of several steps. First of all, the authors have analyzed the existing literature. Secondly, the authors have referred to a sample of 98 Italian recovery projects formalized by Italian private companies. The analysis of the literature and the recovery projects permits to achieve some provisional results, which have been tested through surveys. The methodology approach is inspired by the grounded theory. The findings have been several： （1） The crisis is a usual event in the lifecycle of a firm, due to a deterioration of its strength and a change of the context; （2） The timing factor has played a fundamental role in managing the crisis situation, because a late identification of the symptoms or a minimization of them can generate an irreversible situation; and （3） In addition, a recovery project includes the introduction of a new management control system or changes to the existing management control system. These new or modified management control systems use ＂feed-forward＂ mechanisms, which make early predictions about the changes in the characteristics of the competitive framework.

Simulation Based Energy-resource Efficient Manufacturing Integrated with In-process Virtual Management

As energy efficiency is one of the key essentials towards sustainability, the development of an energy-resource efficient manufacturing system is among the great challenges facing the current industry. Meanwhile, the availability of advanced technological innovation has created more complex manufacturing systems that involve a large variety of processes and machines serving different functions. To extend the limited knowledge on energy-efficient scheduling, the research presented in this paper attempts to model the production schedule at an operation process by considering the balance of energy consumption reduction in production, production work flow （productivity） and quality. An innovative systematic approach to manufacturing energy-resource efficiency is proposed with the virtual simulation as a predictive modelling enabler, which provides real-time manufacturing monitoring, virtual displays and decision-makings and consequentially an analytical and multidimensional correlation analysis on interdependent relationships among energy consumption, work flow and quality errors. The regression analysis results demonstrate positive relationships between the work flow and quality errors and the work flow and energy consumption. When production scheduling is controlled through optimization of work flow, quality errors and overall energy consumption, the energy-resource efficiency can be achieved in the production. Together, this proposed multidimensional modelling and analysis approach provides optimal conditions for the production scheduling at the manufacturing system by taking account of production quality, energy consumption and resource efficiency, which can lead to the key competitive advantages and sustainability of the system operations in the industry.

Integrating Process Planning and Scheduling with an Intelligent Facilitator

This paper introduces a dynamic facilitating mechan is m for the integration of process planning and scheduling in a batch-manufacturi ng environment. This integration is essential for the optimum use of production resources and generation of realistic process plans that can be readily executed with little or no modification. In this paper, integration is modeled in two le vels, viz., process planning and scheduling, which are linked by an intelligent facilitator. The process planning module employs an optimization approach in whi ch the entire plan solution space is first generated and a search algorithm is t hen used to find the optimal plan. Based on the result of scheduling module an u nsatisfactory performance parameter is fed back to the facilitator, which then i dentifies a particular job and issues a change to its process plan solution spac e to obtain a satisfactory schedule.

Application of MES System in Offshore Oil and Gas Field Production Management

In order to solve information island problem of offshore oil and gas field production-related information system,including repetitive reporting and input of data,data isolation of central control system,inadequate follow-up analysis and development to support oil and gas field production management,and so on.Therefore,the introduction of MES(Manufacturing Execution System)production execution system in the manufacturing industry and downstream production of offshore oil has become an inevitable choice.This system utilizes the real-time database combined with relational database to collect the scattered structured data,such as the production process real-time data,production management documents and statistical tables of offshore oil and gas production facilities.It establishes a unified data center platform for each operation area and production site,so as to centralize the related production management data at production sites.This system realizes many functions,including the production management support like production report generation as well as presentation and POB,equipment management support like PM optimization,remote configuration and monitoring of production operation,status trend analysis,and production event prediction.The implementation of MES system in offshore oil and gas field production management perfects the overall information system of China National Offshore Oil Corporation more and gradually enhances its comprehensive benefits.

Operation optimization of the steel manufacturing process: A brief review

Against the realistic background of excess production capacity, product structure imbalance, and high material and energy consumption in steel enterprises, the implementation of operation optimization for the steel manufacturing process is essential to reduce the production cost, increase the production or energy efficiency, and improve production management. In this study, the operation optimization problem of the steel manufacturing process, which needed to go through a complex production organization from customers' orders to workshop production, was analyzed. The existing research on the operation optimization techniques, including process simulation, production planning, production scheduling, interface scheduling, and scheduling of auxiliary equipment, was reviewed. The literature review reveals that, although considerable research has been conducted to optimize the operation of steel production, these techniques are usually independent and unsystematic.Therefore, the future work related to operation optimization of the steel manufacturing process based on the integration of multi technologies and the intersection of multi disciplines were summarized.

Cooperative Optimization of Reconfigurable Machine Tool Configurations and Production Process Plan

The production process plan design and configurations of reconfigurable machine tool （RMT） interact with each other. Reasonable process plans with suitable configurations of RMT help to improve product quality and reduce production cost. Therefore, a cooperative strategy is needed to concurrently solve the above issue. In this paper, the cooperative optimization model for RMT configurations and production process plan is presented. Its objectives take into account both impacts of process and configuration. Moreover, a novel genetic algorithm is also developed to provide optimal or near-optimal solutions： firstly, its chromosome is redesigned which is composed of three parts, operations, process plan and configurations of RMTs, respectively; secondly, its new selection, crossover and mutation operators are also developed to deal with the process constraints from operation processes （OP） graph, otherwise these operators could generate illegal solutions violating the limits; eventually the optimal configurations for RMT under optimal process plan design can be obtained. At last, a manufacturing line case is applied which is composed of three RMTs. It is shown from the case that the optimal process plan and configurations of RMT are concurrently obtained, and the production cost decreases 6.28% and nonmonetary performance increases 22%. The proposed method can figure out both RMT configurations and production process, improve production capacity, functions and equipment utilization for RMT.

An Agent-Based Distributed Manufacturing System

Agent theories have shown their promising capability in solving distributed complex system ever since its development. In this paper,one multi-agent based distributed product design and manufacturing planning system is presented. The objective of the research is to develop a distributed collaborative design environment for supporting cooperation among the existing engineering functions. In the system,the functional agents for design,manufacturability evaluation,process planning and scheduling are efficiently integrated with a facilitator agent. This paper firstly gives an introduction to the system structure,and the definitions for each executive agent are then described and a prototype of the proposed is also included at the end part.

RESEARCH AND PRACTICE FOR MANUFACTURING ENVIRONMENT MODELLING TECHNOLOGY OF CIMS

An abstract model and representation method for manufacturing environment is presented based on analysis of process planning tasks and factory configuration capable of handling the process plans. This model has been proved to be applicable to the generative process planning and to shopflow control information integration. A general manufacturing environment modelling tool has been developed under the X-window support to verity the mentioned model and modelling technology.

基于营养风险筛查2002的全程营养管理方案对胃肠道恶性肿瘤患者营养状况及生活质量的影响

目的 探讨基于营养风险筛查2002(NRS2002)的全程营养管理方案对胃肠道恶性肿瘤患者营养状况及生活质量的影响。方法 2020年3月至2021年2月上海市第六人民医院临港院区收治的65例胃肠道恶性肿瘤患者为对照组,2021年6月至2022年5月上海市第六人民医院临港院区收治的65例胃肠道恶性肿瘤患者为干预组。对照组给予常规营养管理方案,干预组给予基于NRS2002的全程营养管理方案。采用NRS2002量表比较两组干预前后营养状况,比较两组血红蛋白(Hb)、白蛋白(ALB)水平及生活质量[生命质量测定量表(QLQ-C30)]。结果 干预后,两组NRS2002评分均低于干预前,且干预组低于对照组(P<0.05);两组Hb、ALB均高于干预前,且干预组高于对照组(P<0.05);两组QLQ-C30评分均高于干预前,且干预组高于对照组(P<0.05)。结论 基于NRS2002的全程营养管理方案可改善胃肠道恶性肿瘤患者营养状况,提高生活质量。

Study on Robot Sequencing Model in Flexible Manufacturing System Using Timed Petri Net

In a flexible manufacturing system, both the productivity and the flexibility of the manufacturing processes are highly influenced by robot sequencing. In this paper a petri net based approach for sequencing of industrial robot in a flexible manufacturing cell is presented and a decision structure for robot sequencing based on different criteria is described.

产品制造和装配过程认证DMAIC方法

本文以扶梯梯级链制造和装配过程为例,提出了一套基于DMAIC的系统化和结构化过程认证方法,以减少过程变异,确保过程受控和有足够能力。主要方法是先通过流程图、SIPOC、PFMEA等分析,识别关键产品特性(KPC);然后针对各个KPC进行MSA、控制图、过程能力分析,了解当前过程的能力水平;针对过程能力不达标的KPC,进行根源分析和改进,确保过程能力达到1.33以上;最后更新质量文件,制定过程控制和过程能力定期跟踪计划。

低排放区下新能源车购买使用意向形成过程分析

随着燃油车数量日益增多,空气污染也日益加剧,因此近年来管理部门开始设置对燃油车设置排放污染物限值,促进人们选择新能源汽车等绿色交通方式出行的区域,即低排放区。为了解低排放区下人们对于新能源汽车的购买使用意向,以燃油车通勤者为调查对象,基于自调整行为变化阶段模型将人们购买使用新能源汽车分为目标意向、行为意向、实施意向和意向形成4个阶段,并且基于各意向阶段提供促进购买使用意向提升的辅助干预措施。最终得到不同意向阶段的辅助干预措施需求度,建立了辅助措施干预前后两个低排放区下新能源汽车购买使用意向形成过程模型,得出提供辅助干预措施后,能够更好地解释低排放区下人们购买使用新能源汽车意向形成过程,同时分析了提供辅助干预措施前后影响人们各阶段意向的重要性因素变化。研究结果可为管理部门设置低排放区提供参考和建议。

基于HFACS的道路运输事故致因分析与分类系统研究

为了深入研究道路运输事故的致因因素,挖掘出关键致因规则,在人因分析和分类系统(HFACS)的基础上,构建道路运输事故致因分析与分类系统(RTAACS),并根据该系统框架对收集到的事故进行分析。首先将RTAACS框架分为监管部门、道路运输企业、驾驶人3个层级,将事故致因因素纳入该系统框架进行频率统计,通过R语言改进卡方检验、让步比分析得出致因因素之间的关联规则,最后根据ANP网络层次分析法计算各项致因因素的权重,并确定关键致因规则。结果表明:工作流程与不充分的企业监督、工具技术与习惯性违规、资源管理与工具技术、资源管理与习惯性违规、未纠正的已知错误与习惯性违规为道路运输事故的关键致因规则。研究构建的系统框架以及提出的分析方法为道路运输业的安全预防提供一定的借鉴意义。

由计划管理角度看海洋工程建造业工厂化转型之路

当前能源行业形势复杂,加快能源转型,促进能源向低碳化、清洁化发展是大势所趋。如何确保能源安全、提高能源利用率、建设海洋强国,成为海洋能源产业链各企业面临的重大战略任务。文章就传统海洋工程离散型建造业务项目计划管理如何与工厂化生产计划管理结合,实现降本增效,缩短建造周期,增强企业竞争力进行论述,以期提供一种新的项目制与工厂化的管理思路。

浅析如何加强机械制造加工设备的安全管理

文章通过深入剖析机械制造加工设备安全管理现状,指出了目前所面临的问题与挑战。从技术改进与管理提升这两个主要方面提出有针对性的对策。在技术上,从先进安全监测技术应用、智能化安全控制系统设计和人机协同安全系统研究开发等方面进行论述。在管理层面上,重点论述了建立完善安全管理制度及流程、强化职工安全培训及意识提升等问题,并对安全风险评估及预防控制等方面的意义进行探讨。本文旨在给机械制造企业安全管理提供全面的优化方案,保证加工设备安全、高效地运转。

机器人制造单元集成式工艺规划与调度方法

文章针对机器人制造单元集成式工艺规划与调度(RMC-IPPS)问题,并考虑其加工次序柔性、加工柔性及工序柔性,提出了一种多层级线性编码的方法,该方法能有效地将RMC-IPPS问题的解用简单的数据结构表示,并实现对问题的整体求解。同时,针对毛坯件/半成品在单元中的转运问题,设计了一种基于贪婪思想的机器人调度策略,该策略每一步都选择当前的最优状态,使生产周期尽量不因搬运工序的存在而产生过多延滞。最后,设计出一种基于外部档案库的NSGA-Ⅱ算法(M-NSGA-Ⅱ),该算法通过外部档案库对非劣解进行二次搜索,以避免种群多样性趋于单一,并通过基准实例与实际生产应用算例对所提方法进行验证,并将改进后的算法与其它算法进行对比。结果表明,相较标准NSGA-Ⅱ算法,M-NSGA-Ⅱ算法的覆盖率为100%;相较文献中的算法,M-NSGA-Ⅱ算法具有更高的覆盖率。