Blockchains and Internet of Things for the Pooling of Warehouse Resources

Main Article Content

S. Liu
D. Roy
S. Hennequin


Aims: The purpose of this research paper is the study of the applicability of Blockchain technology and Smart Contracts to manage, control and secure an industrial Internet of Things network (IoT) for pooled warehouses with multiple actors and activities (not only restricted to transport and storage as currently developed in enterprises).

Problem: IoT technology enables things to connect and exchange data, resulting in efficiency improvements, economic benefits, reduced human intervention and enabled interactions (information exchange and analysis) between human/machine to machine. However, the main difficulties lie in the definition of a robust global mechanism to secure the IoT, the awareness of resources diversity (heterogeneity of devices), and physical management of IoT. This article will attempt to answer these questionings.

Results: To respond to these questions, we propose a hybrid architecture based on blockchains and multi-agents system to secure an industrial IoT corresponding to a pooled warehouse system. The proposed hybrid architecture completely represents our system, with all actors and connected objects in the pooled warehouse strategy. It is composed by two parts: a centralized part based on the multi-agents system to represent dynamic evolutions of actors’ behavior and a decentralized part, which corresponds to our block chain and smart contracts network to dynamically connect actors’ agents to pooled resources. The multi-agent system is coupled with game theory (cooperative game) to have a good systemic representation of our pooled warehouse management problem.

Pooled warehouses, internet of things, blockchain technology, multi-agents system, game theory with cooperative games.

Article Details

How to Cite
Liu, S., Roy, D., & Hennequin, S. (2020). Blockchains and Internet of Things for the Pooling of Warehouse Resources. South Asian Journal of Social Studies and Economics, 5(4), 1-16.
Original Research Article


Abdel-Basset M, Manogaran G, Mohamed M. Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems, Future Generation Computer Systems. 2018;86: 614–628.

Saad M, Jones M, James P. A review of the progress towards the adoption of supply chain management (SCM) relationships in construction, European Journal of Purchasing & Supply Management. 2002; 8:173–183.

Büyüközkan G, Göçer F. Digital supply chain: Literature review and a proposed framework for future research. Computers in Industry. 2018;97:157–177.

Biswal K, Jenamani M, Kumar SK. Warehouse efficiency improvement using RFID in a humanitarian supply chain: Implications for Indian food security system, Transportation Research, Part E. 2018;109:205–224.

Ben-Daya M, Hassini E, Bahroun Z. Internet of things and supply chain management: A literature review. Inter-national Journal of Production Research; 2017.

Faheem M, Gungor VC. Energy efficient and QoS-aware routing protocol for wireless sensor network-based smart grid applications in the context of industry 4.0, Applied Soft Computing. 2018;68:910- 922.

Shah SB, Butt R, Raza B, Anwar M, Ngadi Md. A, Gungor VC, Waqar M. Smart grid communication and information techno-logies in the perspective of Industry 4.0: Opportunities and challenges, Computer Science Review. 2018;30:1-30.

Butt R, Raza B, Ashraf M, Ngadi Md. A, Gungor VC. A multi-channel distributed routing scheme for smart grid real-time critical event monitoring applications in the perspective of Industry 4.0." International Journal of Ad Hoc and Ubiquitous Computing. 2019;30(1):236-256.

Faheem M, Gungor VC. MQRP: Mobile sinks-based QoS-aware data gathering protocol for wireless sensor networks-based smart grid applications in the context of industry 4.0-based on internet of things, Future Generation Computer Systems. 2018;82:358-374.

Tewari BB. Gupta. Security, privacy and trust of different layers in Internet-of-Things (IoTs) framework, Future Generation Computer Systems; 2018.

Khan MA, Salah K. IoT security: Review, blockchain solutions, and open challenges, Future Genretaion Computer Systems. 2018; 82:395–411.

Yung MY, Jang JW. Data management and searching system and method to provide increased security for IoT platform, International Conference on Information and Communication Technology Convergence (ICTC). 2017;873.

Alphand O, Amoretti M, Claeys T, Dall’Asta S, Duda A, Ferrari G, Rousseau F, Tourancheau B, Veltri L, Zanichelli F. IoT Chain: A blockchain security architecture for the Internet of Things, Proceedings of IEEE Wireless Communications and Networking Conference, 15-18 April 2018, Barcelona, Spain; 2018.

Ellul J, Pace GJ, Alkyl VM A. Virtual machine for smart contract blockchain connected internet of things. 9th IFIP International Conference on New Technologies, Mobility And Security (NTMS); 2018.

Lamberton C. Collaborative consumption: A goal-based framework. Current Opinion in Psychology. 2016;10:55-59.

Meadows DH, Meadows DL, Randers J, Behrens III W. The limits to growth: A report for the club of Rome's project on the predicament of mankind. New York: Universe Books; 1972.
[ISBN 0876631650]

Botsman R, Rogers R. What's mine is yours: How collaborative consumption is changing the way we live. London: Collins; 2011.

John NA. Sharing, collaborative consumption and Web 2.0, Media@LSE, Working Paper No 26, LSE, London; 2013.

Barnes SJ, Mattsson J. Understanding collaborative consumption: Test of a theoretical model, Technological Forecasting and Social Change. 2017;118: 281-292.

Makaci M, Reaidy P, Samuel K, Botta-Genoulaz V, Monteiro T. A typology for warehouse pooling: An exploratory study, proceedings of the 10th European Research Seminar on Logistcs and SCM (ERS 2015). Copenhagen, Denmark; 2015.

Van der Heide G, Buijs P, Roodbergen KJ, Vis IFA. Dynamic shipments of inventories in shared warehouse and transportation networks. Transportation Research Part E: Logistics and Transportation Review. 2018;118:240-257.

Granjal J, Monteiro E, Silva JS. Security for the internet of things: A survey of existing protocols and open research issues, IEEE Commun. Surv. Tutor. 2015;17(3):1294–1312.

Murray D. Distributed resource sharing using blockchain technology Ethereum, Master degree in Computer Science, California State University, Sacramento, USA; 2016.

Ferber J. Multi-agent systems: An introduction to distributed artificial intelligence. Addison-Wesley Publisher; 1999.

Pietarinen AV. Multi-agent systems and game theory-A Peirce an manifesto, International Journal of General Systems. 2004;33(4):395-414.

Mahjoub S, Hennet JC. Toward the fair sharing of profit in a supply network formation. International Journal of Production Economics. 2010;127:112- 120.

Yu Y, Benjaafar S, Gerchak Y. Capacity sharing and cost allocation among independent firms with congestion, production and operations management. 2015;24(8):1285-1310.

Leng M, Parlar M. Game theoretic applications in supply chain management: A review. Information Systems and Operations Research. 2005;43(3):187- 230.

Mahjoub S, Hennet JC. Manufacturers’ coalition under a price elastic market –A quadratic production game approach, International Journal of Production Research. 2014;52(12):3568–3582.

Triqui Sari L, Hennet JC. Cooperative inventory planning in a distribution network. International Journal of Production Research. 2016;54(19):5916-5931.

EL Moufid M, Roy D, Hennequin S, Cortade T. Game theory model of a production resource sharing problem: Study of possible cheating. IFAC 2017 World Congress, Toulouse, France; 2017.