The potentials of augmented reality in supply chain management: a state-of-the-art review

Author(s):  
Abderahman Rejeb ◽  
John G. Keogh ◽  
Samuel Fosso Wamba ◽  
Horst Treiblmaier
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamar Zekhnini ◽  
Anass Cherrafi ◽  
Imane Bouhaddou ◽  
Youssef Benghabrit ◽  
Jose Arturo Garza-Reyes

PurposeThis article presents a review of the existing state-of-the-art literature concerning Supply Chain Management 4.0 (SCM 4.0) and identifies and evaluates the relationship between digital technologies and Supply Chain Management.Design/methodology/approachA literature review of state-of-the-art publications in the subject field and a bibliometric analysis were conducted.FindingsThe paper identifies the impact of novel technologies on the different supply chain processes. Furthermore, the paper develops a roadmap framework for future research and practice.Practical implicationsThe proposed work is useful for both academics and practitioners as it outlines the pillar components for every supply chain transformation. It also proposes a range of research questions that can be used as a base to guide the future research direction of the field.Originality/valueThis paper presents a novel and original literature review-based study on SCM4.0 as no comprehensive review is available where bibliometric analysis, motivations, barriers and technologies' impact on different SC processes have been considered.


2016 ◽  
Vol 254 (2) ◽  
pp. 348-359 ◽  
Author(s):  
Valeria Borodin ◽  
Jean Bourtembourg ◽  
Faicel Hnaien ◽  
Nacima Labadie

Author(s):  
Pericles A. Mitkas ◽  
Paraskevi Nikolaidou

This chapter discusses the current state-of-the-art of agents and multi-agent systems (MAS) in supply chain management (SCM). Following a general description of SCM and the challenges it is currently ed with we present MAS as a possible solution to these challenge. We argue that an application involving multiple autonomous actors, such as SCM, can best be served by a software paradigm that relies on multiple independent software entities, like agents. The most significant current trends in this area and focusing on potential areas of further research. Furthermore, the authors believe that a clearer view on the current state-of-the-art and future extension will help researchers improve existing standards and solve remaining issues, eventually helping MAS-based SCM systems to replace legacy ERP software, but also give a boost on both areas of research separately.


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