Advances in Production Engineering & Management

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官方网站：http://apem-journal.org/

投稿网址：http://apem-journal.org/InstructionsForAuthors.html

PMC链接：http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1854-6250%5BISSN%5D

《生产工程与管理进展》(APEM journal)是一本跨领域的国际学术期刊，每季出版一期。APEM杂志的主要目标是向广大学者和实践者展示生产工程和生产管理各个领域的原创、高质量、理论和应用导向的研究进展。为了弥补理论和实践之间的差距，特别欢迎基于先进理论和案例研究的应用。对于理论论文来说，原创性和研究贡献是评价过程中的主要因素。一般方法、形式主义、算法或技术应该用重要的应用程序来说明，以证明它们对现实问题的适用性。请注意，APEM杂志并不是专门为研究金融、经济、商业和银行部门的问题而编写的，尽管本文的方法是以质量/项目管理为导向的。因此，论文应包括制造工程领域的大量工程问题。感兴趣的领域包括但不限于：添加剂制造工艺先进的生产技术生产中的人工智能装配系统自动化生产中的大数据计算机集成制造切割成形工艺决策支持系统制造业的深度学习离散系统和方法论电子化制造生产中的进化计算模糊系统人机工程学工业工程学工业过程工业机器人智能制造系统库存管理连接过程知识管理生产物流生产中的机器学习机床机械加工系统制造系统材料科学，多学科机械工程机电一体化生产计量学建模与仿真数值技术运筹学运行计划、调度和控制优化技术项目管理质量管理风险和不确定性自组织系统供应链管理生产中的虚拟现实

Advances in Production Engineering & Management (APEM journal) is an interdisciplinary international academic journal published quarterly. The main goal of the APEM journal is to present original, high quality, theoretical and application-oriented research developments in all areas of production engineering and production management to a broad audience of academics and practitioners. In order to bridge the gap between theory and practice, applications based on advanced theory and case studies are particularly welcome. For theoretical papers, their originality and research contributions are the main factors in the evaluation process. General approaches, formalisms, algorithms or techniques should be illustrated with significant applications that demonstrate their applicability to real-world problems. Please note the APEM journal is not intended especially for studying problems in the finance, economics, business, and bank sectors even though the methodology in the paper is quality/project management oriented. Therefore, the papers should include a substantial level of engineering issues in the field of manufacturing engineering. Fields of interest include, but are not limited to: Additive Manufacturing ProcessesAdvanced Production TechnologiesArtificial Intelligence in ProductionAssembly SystemsAutomationBig Data in ProductionComputer-Integrated ManufacturingCutting and Forming ProcessesDecision Support SystemsDeep learning in ManufacturingDiscrete Systems and Methodologye-ManufacturingEvolutionary Computation in ProductionFuzzy SystemsHuman Factor Engineering, ErgonomicsIndustrial EngineeringIndustrial ProcessesIndustrial RoboticsIntelligent Manufacturing SystemsInventory ManagementJoining ProcessesKnowledge ManagementLogistics in ProductionMachine Learning in Production Machine ToolsMachining SystemsManufacturing SystemsMaterials Sciences, MultidisciplinaryMechanical EngineeringMechatronicsMetrology in ProductionModelling and SimulationNumerical TechniquesOperations ResearchOperations Planning, Scheduling and ControlOptimisation TechniquesProject ManagementQuality ManagementRisk and UncertaintySelf-Organising SystemsSupply Chain ManagementVirtual Reality in Production