A new production component method for natural gas development planning

Based on an analysis of the limitations of conventional production component methods for natural gas development planning,this study proposes a new one that uses life cycle models for the trend fitting and prediction of production.In this new method,the annual production of old and new wells is predicted by year first and then is summed up to yield the production for the planning period.It shows that the changes in the production of old wells in old blocks can be fitted and predicted using the vapor pressure model(VPM),with precision of 80%e95%,which is 6.6%e13.2%higher than that of other life cycle models.Furthermore,a new production prediction process and method for new wells have been established based on this life cycle model to predict the production of medium-to-shallow gas reservoirs in western Sichuan Basin,with predication error of production rate in 2021 and 2022 being 6%and 3%respectively.The new method can be used to guide the medium-and long-term planning or annual scheme preparation for gas development.It is also applicable to planning for large single gas blocks that require continuous infill drilling and adjustment to improve gas recovery.

Lean Product Development Process with Design Verification Stages in the Value Stream of Automotive Industry

In the automotive industry, lean projects and innovation creation come to life by being updated under the control of systematic interdisciplinary process flows. The lean product development process that changes the shell, defined under the light of the variables created by the competitive conditions, is today measured by the value flow efficiency and the global market spread of the final product. Consequently, the lean product development approach, which aims to identify and purify all the wastes that do none value or create value to the system or cause burdens in the new product development process, is shaped by step-by-step approvals in the flow. In the main automotive industry company practices within the scope of the research (3 national, 3 international), the beginning of the concept of lean in design is to define and optimize the steps in the product development process under the value stream map. Therefore, the product function for which the customer has paid for, the function of the new product or the physical structure used to meet the needs in question, the comfort, life, experience, innovations of the scope that constitute the new product concept are planned and verified and implemented in the simplified automotive design stages at the beginning of the lean product development process. In this research, initial automotive design objectives and stages are at the focal point of the innovation and added value creation brought by the concept of “lean” approach. The research is modelled on the determination of steps that do not create added value together with the points where the flow circuits’ or stems, the process is devalued, the interdisciplinary holistic studies intensify, the information and delay begin and end in the sequential and simultaneous design validation step transition stages, which are examined under the lean approach. As a visual and virtual tool that enables the elaboration of nominal values such as the total duration of the design verification stages and the influence of interdisciplinary stakeholders or the test level of the product design with the new product added, it reveals the value flow or losses. Hence research;from innovation creation and new product design steps, which constitute the initial stages of the lean product development process, to design verification analysis, the efficiency of the automotive company processes within the scope of the research has been measured by comparing using lean automotive design techniques, methods and concepts.

Study on DSM-based task planning of product cooperative development

The results of analyzing the managerial characteristics and complexity of product cooperative development suggest that task planning is an important aspect for process management of product cooperative development and the method for planning tasks should be able to model the dependency between tasks and iterations during the development process. In this paper, a DSM-based method and its corresponding optimization algorithms are developed. At first the coupled task sets and uncoupled task sets are identified, and the tasks are then optimized by the corresponding algorithms. The optimal tasks plan will reduce the development time and cost. Considering the practical requirements in real world, a Multilayer DSM is proposed, and its information communication techniques between DSM and traversing principle are described in details.

New Autonomous Vehicle Technologies Effect on Automotive Concept Design Stages

New road transportation systems solutions create significant changes in existing automotive manufacturing industry products and technologies, from design to use. The conveniences within the framework of new approaches brought by autonomous vehicle technologies primarily make individuals transition from driver duty to passenger and high-comfort alternative travel technologies. Therefore, the research: defining the path followed by the autonomous vehicle technologies, which lead to the development of the said new life model and automotive products within the future fiction, in the stages of designing new concept vehicles in practice or measuring the effect on the processes constitute important values for the future prediction of this sector. In addition, the research has focused on the effects of interdisciplinary studies at the automotive concept design stages, which are at the beginning of today’s lean and new product development process, where innovation goals or technologies emerge with more concrete needs. New autonomous vehicle technologies and the main purpose of revealing the interdisciplinary studies created by new disciplines in the current automotive concept design stages make significant contributions to the optimization of the lean product development process and value creation. For this reason, the automotive manufacturing industry, which is on the eve of a major transformation with the said new autonomous vehicle technologies;determining the needs or sustainable position in the flow of digital perception and orientation systems;determining value creation criteria related to the functioning of automotive concept design processes or new acceptance criteria through one-on-one interviews in the field;constitutes the focus of the research. The research has examined the new interdisciplinary studies and effects of new autonomous vehicle technologies in the automotive concept design phase, which is the first step of lean product development, with local and global automotive industry company comparisons in operation. Therefore, the differences and similarities between the concept design stages of global automotive companies that are both co-developers of new autonomous vehicle technologies and manufacturing automotive products and local automotive manufacturing companies that only assemble them determine the future competitive structuring of the industry.

Evaluation of Lean Product Development Stages of Autonomous Vehicle Technologies with AHP Method

The potential innovation and emerging workforce created by autonomous vehicle technologies, which have just entered the lean product development disciplines, play an important role in the development or change of the automotive manufacturing industry. Therefore, the intensity of work and the innovation practices brought by the technologies in question at each step of very different and interdisciplinary studies deeply affect the new and lean product development steps. Comparatively measuring the operating weight of new autonomous vehicle technologies in different company structures in these lean product development steps has important consequences for the development and change of the automotive industry under heavy global competition. On the other hand, it is difficult to measure the innovation input or the use of new autonomous technology under the AHP mathematical model of each part that constitutes the whole of the lean product development process, but it also creates the future predictions of the sector. The Analytical Hierarchy Process (AHP), which is one of the multi-purpose decision-making methods, was used to determine the most intense value creation, the design and development phase where there is innovation input, or the lean product development discipline throughout the whole process. The AHP method was preferred for the comparative analysis and synthesis of different applications or similar approaches in the automotive manufacturing industry companies (global and local) and lean product development processes in the field study of the research, under qualitative data. Under the AHP mathematical model created in the research, it was aimed to measure interdisciplinary clusters with a focus on new technology and to identify similarities or differences under alternative applications created by different company structures and to compare them systematically and evaluate them mathematically. In the study, the AHP mathematical model was used to compare lean product development processes and the use of new autonomous vehicle technologies, and the Expert Choice program was preferred in the application of the method.

Autonomous Vehicle Technologies Effects the Automotive Concept Design Stages with AHP Method

In the automotive concept design stages, functionally positioning the newly introduced autonomous technologies or remodelling the vehicle accordingly and evaluating the steps or determining the workload together with the collaboration intensity in the current flow is the initial step for the entire process efficiency. Therefore, the main purpose of the research is to reveal the effects of the autonomous technologies, which are newly included in the automotive concept design stages in automotive manufacturing industry companies that continue their lives under heavy competition conditions, according to the order of importance. The objective of this research is to both increase the efficiency of automotive concept design stages and to determine the measurement of the effects of new autonomous vehicle technologies in practice. Under the AHP method used in the research, the automotive concept design stages constitute the alternatives in the order of importance of the working structure, as well as the application variables of autonomous vehicle technologies, the criteria of the mathematical model. In addition, the research method modelled in the study, under the AHP mathematical model, reveals the performances or order of importance of the automotive concept design stages under autonomous technologies. Therefore, the resulting process performances constitute important inputs for efficiency and optimization studies under different research approaches. When the results of the study are examined, due to the high level of influence on the new vehicle concept design performance in automotive industry companies, the adaptation or application steps of autonomous vehicle technologies create new needs in the whole process. The determination of innovation creation clusters in the design process steps or the selection of the density of new technology adaptation in the stages and the order of importance provide a competitive advantage along with optimization in the basic functions of the automotive industry companies. However, the determination of new workload clusters in the mentioned automotive concept design process steps or the effect of autonomous technologies in the design stages, selection, transfer from theory to practice, multiple conflicting criteria and uncertain parameters create a very complex situation. For all these reasons, the Analytical Hierarchy Process (AHP), which is one of the widely used multi-criteria decision-making tools, is considered as a suitable approach for creating such order of importance and solving problems. In this study, an AHP mathematical model was created that determines the workload clusters created by autonomous vehicle technology applications that have just begun to guide the automotive concept design process, which is the main function of automotive manufacturing industry companies. Therefore, in line with the innovations, changes and adequacy criteria created by the current automotive concept design stages in the new autonomous vehicle technology adaptation, a stage order of importance has been selected.

Autonomous Vehicle Design in Lean Product Development Processes for Value Stream Map

The global automotive industry is giving a difficult and common test in order to create advanced life models in the near future plans or scenarios that include current autonomous vehicle technologies. Therefore, the main purpose of the research is to comparatively evaluate the impact of autonomous vehicle technologies, which are newly included in the automotive manufacturing industry under sustainable competition, on lean product development processes, value acquisition and preservation, in different organizational structures in the approach. Although mergers or brand acquisitions in the global automotive industry create joint R & D (Research Development) or joint new P & D (Product Development) process structures for the development of autonomous vehicle technologies, heavy competition continues in the market. These new processes create different needs for the merger and partnership of the renewed traffic infrastructures under national and international regulations, and for the implementation of the new autonomous life model. Firm and brand marriages, mergers or acquisitions in today’s automotive industry have ensured the high diffusion of lean product development processes under the stream of value creation or preservation carried out specific to the company under competition. Brand mergers in automotive industry companies struggling to survive under high competition create new work disciplines, professions, and engineering flow steps in lean product development processes. However, lean product development processes driven by technological innovation under simplification have resulted in the integration of parts and systems within the autonomous vehicle design structure, as well as creating new interdisciplinary value streams or different stakeholders. Therefore, the research revealed the significant effects of lean product development processes on the value stream in the automotive industry, on the mixed and lean product development process structure formed by new or existing vehicle systems (conventional vehicle) under the penetration of each existing and new discipline. This research compares the efficient operation steps of the process stakeholders in the autonomous vehicle design parts or systems containing innovation and new technology together with the value stream in the lean product development process, and the new process stakeholder’s business-oriented global and local automotive industry companies. New autonomous vehicle technologies, together with their unique software, hardware and development analysis, have been involved in the lean product development process with their interdisciplinary studies or expertise. Therefore, the study firstly focused on the technologies in environmental use together with the new basic features of autonomous vehicles, and then examined in depth the new or existing disciplines and interdisciplinary basic structure that these innovations affect under the value stream in the lean product development process. In addition, micro-level results and recommendations were shared, shedding light on how autonomous vehicle levels will create changes in the new product development process.

The fit of planning methods for the part manufacturing industry,a case study

This paper investigates the specific planning environment of an automotive part manufacturer and characterizes this environment based on variables regarding the product,its demand and the manufacturing process.The fit of different planning methods,namely material requirements planning,reorder point,cyclic planning,kanban,and heijunka to this specific planning environment is analyzed and evaluated by exploratory research.The results show that different product characteristics make it hard to apply a single planning method.None of the investigated methods show the ability to cover the complex requirements of a combined planning environment of two partly divergent product types with a deep value chain.

Information Flow Scheduling in Concurrent Multi-Product Development Based on DSM

Multi-product collaborative development is adopted widely in manufacturing enterprise, while the present multi-project planning models don＇t take techni- cal/data interactions of multiple products into account. To decrease the influence of technical/data interactions on project progresses, the information flow scheduling models based on the extended DSM is presented. Firstly, infor- mation dependencies are divided into four types： series, parallel, coupling and similar. Secondly, different types of dependencies are expressed as DSM units, and the exten- ded DSM model is brought forward, described as a block matrix. Furthermore, the information flow scheduling methods is proposed, which involves four types of opera- tions, where partitioning and clustering algorithm are modified from DSM for ensuring progress of high-priority project, merging and converting is the specific computation of the extended DSM. Finally, the information flow scheduling of two machine tools development is analyzed with example, and different project priorities correspond to different task sequences and total coordination cost. The proposed methodology provides a detailed instruction for information flow scheduling in multi-product development, with specially concerning technical/data interactions.

对“水利测雨雷达”的新质生产力研究

高精准降雨监测预报对于支撑水旱灾害防御等水利业务预报、预警、预演、预案“四预”工作至关重要。水利测雨雷达系统主要观测近地面2 km高度范围内大气中的液态水,能够实现无缝隙、精细化监测并生成高精度实况定量降雨产品,具有较为精准的外推1~3 h降雨临近预报能力,是水利新质生产力的典型代表。系统梳理了我国降雨监测发展历程,包括无器具测量、雨量器萌芽、标准化人工雨量器、自动记录式雨量器和现代自动测雨五个阶段。在此基础上,从雨量站业务应用、天气雷达业务应用、气象卫星业务应用角度,分析当前“四预”业务中降雨监测现状与问题,进而梳理了水利测雨雷达发展进程并分析其技术优势,包括:能够实时生成超精细化的网格降雨实况数据,能够实现精细化网格化降雨预报,以及系统运行稳定高效。结合水利测雨雷达在河北省大清河流域以及湖南省捞刀河、浏阳河流域的良好应用成效,指出其作为水利新质生产力在赋能“四预”方面具有应用前景。

产能到位率计算方法的发展完善及其在大庆油田的应用

产能到位率是原油产能建设过程中油藏工程方案、开发规划方案编制中的重要指标。大庆油田产能建设对象地质条件和地面条件持续变差,传统产能到位率计算方法存在不足,难以满足复杂多变形势下的指标预测需求。通过分析近年来分类产能指标变化规律,结合原油开发规划编制工作的实际需求,拓展了产能到位率的内涵,创新性地提出计划产能到位率、实建产能到位率的概念及计算方法。结果表明:在年初规划阶段和年底配产阶段分别应用计划产能到位率、实建产能到位率指标预测新建产能的第二年产油量,预测符合率可达到95%以上,较好地指导了新建产能在第二年产油量的预测。研究成果为年度产能建设规划优化提供重要参考,为年度及中长期产量精准测算提供重要依据。

陕西省区域猕猴桃特色产业发展路径规划研究

陕西是我国最重要的猕猴桃产地之一。本文对当前我国陕西省区域猕猴桃产业的发展现状进行总结,发现陕西省猕猴桃产业具有资源禀赋优异、产业规模不断扩大、产业链不断延伸的优势。本文对陕西省猕猴桃产业发展潜力,如区位优势、基础设施建设情况、选种育种等进行分析,总结了陕西省猕猴桃特色产业的发展路径,旨在为该地区猕猴桃特色产业的发展提供借鉴。

浅析汽车试验在研发中的重要作用

随着社会经济和科学技术的不断发展,人们对于交通工具的需求也越来越高。而汽车作为一种重要的交通工具,其性能方面的要求也日益严格,包括动力性、经济性、安全性等,其中安全性尤为重要,因此,如何提高汽车的质量与性能成为当前亟待解决的问题之一。目前,国内外许多企业都将汽车试验列入产品研发过程中,以期通过试验来发现并改进产品存在的缺陷或不足之处,从而提升产品质量及市场竞争力。本文旨在探讨汽车试验在产品研发中的作用及其相关技术方法,希望可以为从事该领域工作的人员提供一些参考意见。

浅谈PHEV的未来发展趋势及企业规划建议

插电混合动力汽车,简称PHEV,作为新能源汽车的重要组成部分,自2021年以来,PHEV开始进入市场化发展阶段,规模呈爆发式增长,其中2021年产销60.4万辆,2022年更是达到了146.1万辆。文章拟从市场趋势、技术动向以及企业布局三个方面重点分析PHEV未来的发展趋势,并基于以上分析对PHEV未来的市场规模进行预测,为企业的产品规划以及电动化转型提供参考。

产业用地更新与新质生产力发展:浙江“亩产论英雄”的理论逻辑与实践逻辑

面对资源和环境要素的瓶颈制约,促进经济转型升级与可持续发展日益受到关注和重视。本文以浙江“亩产论英雄”这一地方实践为例,研究探讨了产业用地更新影响新质生产力发展的内在逻辑。研究结果表明:浙江“亩产论英雄”的核心动力在于创新,通过技术创新能够促进新质生产力形成与经济高质量发展;释放市场“无形之手”,善用政府“有形之手”,二者有机结合,共同推动着新质生产力发展;通过建设并完善企业综合评价大数据平台,同时引进高端制造业和现代服务业,为新质生产力形成提供实体支撑;主张以最小的资源环境消耗取得最大的发展效益,实现可持续发展。通过实施产业用地更新策略,为新质生产力发展注入新动力。

数字化在汽车涂装生产线的应用与未来发展趋势

随着科技的不断发展,数字化技术逐渐渗透到汽车涂装生产线中,大大提高了生产效率和质量。在汽车制造过程中,涂装生产线是非常重要的组成部分,它不仅影响着汽车外观的质量,还关乎到汽车的防腐和耐磨性能。本研究探讨了数字化在汽车涂装生产线中的应用与未来发展趋势。首先,介绍了汽车涂装生产线的相关内容,接着分析了汽车涂装生产线中的常见问题,基于此,进一步提出了数字化技术在汽车涂装生产线的应用路径,并展望了数字化技术在汽车涂装生产线中的未来发展趋势。

汽车先期产品质量策划控制流程浅谈

汽车先期产品开发控制流程是现代汽车工业中非常重要的一环。汽车先期产品开发需要涉及多个部门和环节,包括设计、工程、生产、市场和销售等。同时,汽车先期产品的研发投入很高,开发周期较长,错误的决策会导致严重的后果。因此,对汽车先期产品开发的控制流程进行科学化、规范化和系统化的管理,将实现提高开发效率和质量,减少成本和风险,也成为企业在汽车市场中获得成功的必要条件。文章以汽车先期产品为例,首先阐述了汽车先期产品开发控制流程的概念及其在汽车工业发展中的重要作用,然后就其汽车开发主要业务流程的建设提出了自己的意见和建议。

“十五五”时期我国产业发展环境研判与启示

世界百年未有之大变局将持续深度演进,“大国博弈、局部动荡”催动全球产业链供应链从阵营化的“俱乐部”模式走向依靠“中间地带”开展分工贸易的“弱循环”模式,新一轮科技革命“多点暴发、加速迭代、鸿沟扩大”推动全球经济从“大树经济”走向“丛林经济”。“十五五”时期是我国迈入高质量发展阶段和高收入国家行列临界点,也是我国工业化后期向后工业化时代迈进的转折期,还是我国经济改革方略系统性、协调性、对称性调整的关键期,产业发展既面临预期减弱、竞争加剧、减排降碳、人口负增长、城镇化放缓等多重压力,但也面临创新赋智、融合化数字化绿色化“三化”赋值、开放赋能、改革赋力的多重机遇。通过积极培育以人工智能、新能源、生命健康、航天、海洋及消费新业态新模式等为代表的战略性新兴产业和未来产业,能够加快形成新质生产力,推动产业结构转型升级,持续为经济增长提供动能。

国土空间规划“三线”管控下生态保护与经济发展困境及出路——以山南市浪卡子县为例

基于浪卡子县“三区三线”划定成果和国土空间规划数据,对县域生态保护使命和经济发展问题进行分析,寻求生态保护与经济建设协调发展之路。研究结论:生态保护具有极强的外部性,对地方经济的发展、本地农牧民生计影响重大;以“品牌”“重点”“特色”引领县域经济发展;发展绿色经济,培育高原特色生态产业,建绿色服务业增长极;发展新质生产力,强化“旅游+”“低空经济”等绿色生产力支持力度;以国土空间规划为引领,渐进式实施“三线”管控;利用好“生态补偿”“窗口期”利好政策,培育县域内生动力。

解塘村有机稻米生产发展现状与建议

该文阐述解塘村有机稻米生产发展现状,从当地的地理优势、稻米栽种、采收及加工方面的技术应用进行论述。结合解塘村稻米发展的问题,从组织保障、规划布局、产学研综合发展的角度进行分析,并提出切实可执行的建议。