Logistics 4.0: a systematic review towards a new logistics system

被引:419
作者
Winkelhaus, Sven [1 ]
Grosse, Eric H. [1 ]
机构
[1] Tech Univ Darmstadt, Inst Prod & Supply Chain Management, Darmstadt, Germany
关键词
logistics; Industry; 4.0; smart; internet of things; Big Data; systematic literature review; SUPPLY CHAIN MANAGEMENT; BIG DATA ANALYTICS; OF-THE-ART; AUGMENTED REALITY; ORDER FULFILLMENT; THINGS IOT; INNOVATIVE APPROACH; CUSTOMER SERVICE; MASS-PRODUCTION; INTERNET;
D O I
10.1080/00207543.2019.1612964
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Enterprises are confronted with new customer requirements and challenged by global competition leading to fundamental changes of today's industry. Against this background, at present Industry 4.0 is the main concept of dealing with these challenges in manufacturing. Lacking a comparable covering concept in logistics, this study aims to stringently unify diverse approaches in research to a Logistics 4.0-framework in order to generate a new picture of the state of logistics research. In this article, a comprehensive framework of Logistics 4.0 is developed. First, the term Logistics 4.0 is defined, and then a systematic literature review of 114 articles on Logistics 4.0 is performed. The resulting framework combines external triggers, main technological innovations, impacts of human interactions and logistics tasks. Existing solutions that support Logistics 4.0 are summarised according to the technologies: internet of things, cyber-physical systems, Big Data, cloud computing, mobile-based systems, social media-based systems and further technologies. Managerial implications are outlined and open research issues are examined. For researchers, this review offers the possibility to unify and expand existing solutions and to identify links and interfaces that are still needed. As for managerial implications, this framework can be used to identify future strategies and technologies to fulfil certain logistics tasks, but also to develop new technological solutions for current and future demands.
引用
收藏
页码:18 / 43
页数:26
相关论文
共 175 条
[21]   The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda [J].
Buer, Sven-Vegard ;
Strandhagen, Jan Ola ;
Chan, Felix T. S. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (08) :2924-2940
[22]   Logistics automation management based on the Internet of things [J].
Chen, Jing ;
Zhao, Wei .
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 6) :13627-13634
[23]   A New Approach to Integrate Internet-of-Things and Software-as-a-Service Model for Logistic Systems: A Case Study [J].
Chen, Shang-Liang ;
Chen, Yun-Yao ;
Hsu, Chiang .
SENSORS, 2014, 14 (04) :6144-6164
[24]   Augmented reality in logistics [J].
Cirulis, Arnis ;
Ginters, Egils .
ICTE IN REGIONAL DEVELOPMENT, 2013, 26 :14-20
[25]   Multi-criteria logistics distribution network design for mass customisation [J].
Costantino, Francesco ;
Gravio, Giulio Di ;
Shaban, Ahmed .
International Journal of Applied Decision Sciences, 2014, 7 (02) :151-167
[26]   A Prototype Smart Materials Warehouse Application Implemented using Custom Mobile Robots and Open Source Vision Technology Developed using EmguCV [J].
Culler, David ;
Long, James .
44TH NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE, NAMRC 44, 2016, 5 :1092-1106
[27]   Creating consumer durable retailer customer loyalty through order fulfillment service operations [J].
Davis-Sramek, Beth ;
Mentzer, John T. ;
Stank, Theodore P. .
JOURNAL OF OPERATIONS MANAGEMENT, 2008, 26 (06) :781-797
[28]   From mass production to flexible/agile production [J].
Duguay, CR ;
Landry, S ;
Pasin, F .
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 1997, 17 (11-12) :1183-+
[29]  
Fink A., 2005, CONDUCTING RES LIT R
[30]   BIG DATA APPLIED TO CYBER-PHYSICAL LOGISTIC SYSTEMS: CONCEPTUAL MODEL AND PERSPECTIVES [J].
Frazzon, Enzo Morosini ;
Dutra, Moises Lima ;
Vianna, William Barbosa .
BRAZILIAN JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2015, 12 (02) :330-337