《生產(chǎn)工程與管理進(jìn)展》(APEM journal)是一本跨領(lǐng)域的國(guó)際學(xué)術(shù)期刊，每季出版一期。APEM雜志的主要目標(biāo)是向廣大學(xué)者和實(shí)踐者展示生產(chǎn)工程和生產(chǎn)管理各個(gè)領(lǐng)域的原創(chuàng)、高質(zhì)量、理論和應(yīng)用導(dǎo)向的研究進(jìn)展。為了彌補(bǔ)理論和實(shí)踐之間的差距，特別歡迎基于先進(jìn)理論和案例研究的應(yīng)用。對(duì)于理論論文來(lái)說(shuō)，原創(chuàng)性和研究貢獻(xiàn)是評(píng)價(jià)過程中的主要因素。一般方法、形式主義、算法或技術(shù)應(yīng)該用重要的應(yīng)用程序來(lái)說(shuō)明，以證明它們對(duì)現(xiàn)實(shí)問題的適用性。請(qǐng)注意，APEM雜志并不是專門為研究金融、經(jīng)濟(jì)、商業(yè)和銀行部門的問題而編寫的，盡管本文的方法是以質(zhì)量/項(xiàng)目管理為導(dǎo)向的。因此，論文應(yīng)包括制造工程領(lǐng)域的大量工程問題。感興趣的領(lǐng)域包括但不限于：添加劑制造工藝先進(jìn)的生產(chǎn)技術(shù)生產(chǎn)中的人工智能裝配系統(tǒng)自動(dòng)化生產(chǎn)中的大數(shù)據(jù)計(jì)算機(jī)集成制造切割成形工藝決策支持系統(tǒng)制造業(yè)的深度學(xué)習(xí)離散系統(tǒng)和方法論電子化制造生產(chǎn)中的進(jìn)化計(jì)算模糊系統(tǒng)人機(jī)工程學(xué)工業(yè)工程學(xué)工業(yè)過程工業(yè)機(jī)器人智能制造系統(tǒng)庫(kù)存管理連接過程知識(shí)管理生產(chǎn)物流生產(chǎn)中的機(jī)器學(xué)習(xí)機(jī)床機(jī)械加工系統(tǒng)制造系統(tǒng)材料科學(xué)，多學(xué)科機(jī)械工程機(jī)電一體化生產(chǎn)計(jì)量學(xué)建模與仿真數(shù)值技術(shù)運(yùn)籌學(xué)運(yùn)行計(jì)劃、調(diào)度和控制優(yōu)化技術(shù)項(xiàng)目管理質(zhì)量管理風(fēng)險(xiǎn)和不確定性自組織系統(tǒng)供應(yīng)鏈管理生產(chǎn)中的虛擬現(xiàn)實(shí)

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