A Framework on Centralised to Decentralised Logistics Control Structures Applied in Two Case Studies
conference paper
Developments on digitalisation and automation in transport and logistics create new possibilities in the organisation of supply chains. New technologies can disrupt existing control structures, establish new forms of control and improve the efficiency and flexibility of operations. This paper provides a framework to analyse the trade-offs and conditions that best apply to each control structure from centralised to decentralised. A centralised control structure is characterised by one party (control tower) that collects and analyses data to come to optimal operational decisions on a system level. In opposition, a decentralised control structure is characterised by each unit in the logistics chain taking independent decisions (self-organisation) based on local intelligence and autonomy. A 2 × 2 control structure matrix is created, with each corner defining a different type of logistics control structure. The framework is then applied in two practical case studies in which simulation models are developed to show the impact of different logistics control structures. Results show the effects of different control structures in one supply chain and under which circumstances and for which type of logistics chain, each logistics control structure is most suitable.
Topics
TNO Identifier
977206
ISSN
03029743
ISBN
9783031165788
Publisher
Springer Science and Business Media Deutschland GmbH
Source title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13th International Conference on Computational Logistics, ICCL 2022, 21 September 2022 through 23 September 2022
Pages
369-381