IISE Transactions

期刊简介：As the flagship journal of the Institute of Industrial and Systems Engineers, IISE Transactions publishes original high-quality papers on a wide range of topics of interest to industrial engineers who want to remain current with the state-of-the-art technologies. The refereed journal aims to foster the engineering community by publishing papers with a strong methodological focus motivated by real problems that impact engineering practice and research. Published monthly, the journal is composed of four focus issues: Design and Manufacturing, Operations Engineering and Analytics, Data Science, Quality and Reliability, and Supply Chain and Logistics. IISE Transactions encourages research motivated by critical and complex engineering problems that arise in a wide variety of domains including service, public policy, health care, security, biotechnology, transportation, and others. The journal publishes papers that integrate industrial engineering with other disciplines including statistics, other engineering disciplines, computer science, biological science, and operations research. Articles covering new methodologies and state-of-the-art surveys are included in the journal. Readership: Industrial Engineering researchers and practitioners in the areas of data science and data engineering, operations research and management, scheduling, logistics, supply chain, manufacturing, quality and reliability engineering. All submitted manuscripts are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All submission is online via ScholarOne Manuscripts. Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106.

【译文】作为工业和系统工程师协会的旗舰期刊，IISE Transactions 发表原创的高质量论文，涉及想要跟上最先进技术的工业工程师感兴趣的广泛主题。该期刊旨在通过发表具有强烈方法论重点的论文来培育工程界，这些论文的动机是影响工程实践和研究的实际问题。该杂志每月出版，由四个焦点问题组成：设计和制造、运营工程和分析、数据科学、质量和可靠性以及供应链和物流。 IISE Transactions 鼓励以关键和复杂的工程问题为动力的研究，这些问题出现在服务、公共政策、医疗保健、安全、生物技术、交通等各个领域。该杂志发表将工业工程与其他学科相结合的论文，包括统计学、其他工程学科、计算机科学、生物科学和运筹学。该期刊包含涵盖新方法和最先进调查的文章。读者群：数据科学和数据工程、运筹学和管理、调度、物流、供应链、制造、质量和可靠性工程领域的工业工程研究人员和从业者。所有提交的手稿均需经过编辑的初步评估，如果认为适合进一步考虑，则由独立、匿名的专家审稿人进行同行评审。所有提交均通过 ScholarOne Manuscripts 在线提交。出版办公室：Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106。