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Special Issue of Production and Operations Management Journal “Managing Autonomous and IoT‐driven Intralogistics Operations”
Author(s) -
Koster René,
Roy Debjit,
Lim Yun Fong,
Kumar Subodha
Publication year - 2020
Publication title -
production and operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.279
H-Index - 110
eISSN - 1937-5956
pISSN - 1059-1478
DOI - 10.1111/poms.13350
Subject(s) - erasmus+ , citation , production (economics) , library science , computer science , operations research , sociology , mathematics , history , art history , economics , macroeconomics , the renaissance
Managing performance of intralogistics operations, i.e., within facilities such as manufacturing, order fulfillment warehouses, retail stores, hospitals, or terminals, is critical in fulfilling customer expectations. Customer product and service expectations can be volatile. Traditional decision-making for intralogistics operations mostly relies on data collected over long-range intervals with significant delays in processing. However, with Internet of Things (IoT) devices, detailed data can be captured and relayed real-time and systems are geared up for making dynamic decisions in real-time. The advent of new technologies such as smart IoT devices, Artificial Intelligence (AI), and robots allows improving the intralogistics operations by facilitating time-sensitive decisions and reducing costs. All critical resources, though decentralized, are connected to a wider network enabling to capture and process large amounts of data and use these data to improve resource coordination and secure informed data-driven decisions.