Abstract
The internet of things has led to innovation in cylinder distribution. In Japan, as smart meters are developed, suppliers now obtain the customer’s inventory every day. Then, in this study, we propose a method based on three steps to determine and evaluate the labor savings achieved by IoT installations. We formulate and solve an optimization problem under the assumption that a distributor can visit each customer only during specified weeks. After presenting a heuristic algorithm to obtain values close to the optimal values obtained by the optimization problem, we apply the algorithm under the assumption that distributors can visit their customers once each week. As a result, we found that installing IoT would result in a labor savings of approximately 30%. In addition, our heuristic algorithm performed well in evaluating the resultant labor savings. Furthermore, we found that applying our algorithm before the peak season did not contribute substantially to saving additional labor.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Holtschulte, A.: Digital Supply Chain and Logistics with IoT: Practical Guide, Methods, Tools and Use Cases for Industry. Springer International Publishing, Cham (2022)
The World LPG Association: The Internet of Things (IoT): Opportunities for the LPG Industry (2021)
Nesse, P.J.: The birth of an Internet of Things ecosystem. In: 2018 International Conference on Intelligent Systems (IS), pp. 8–14. IEEE (2018). https://doi.org/10.1109/IS.2018.8710591
Song, Y., Yu, F.R., Zhou, L., Yang, X., He, Z.: Applications of the Internet of things (IoT) in smart logistics: a comprehensive survey. IEEE Internet Things J. 8(6), 4250–4274 (2020). https://doi.org/10.1109/JIOT.2020.3034385
Lozano, Á., Caridad, J., De Paz, J.F., Villarrubia Gonzalez, G., Bajo, J.: Smart waste collection system with low consumption LoRaWAN nodes and route optimization. Sensors 18(5), 1465 (2018). https://doi.org/10.3390/s18051465
Nagarajan, S.M., Deverajan, G.G., Chatterjee, P., Alnumay, W., Muthukumaran, V.: Integration of IoT based routing process for food supply chain management in sustainable smart cities. Sustain. Cities Soc. 76, 103448 (2022). https://doi.org/10.1016/j.scs.2021.103448
Coelho, L.C., Cordeau, J.-F., Laporte, G.: Thirty years of inventory routing. Transp. Sci. 48(1), 1–19 (2014). https://doi.org/10.1287/trsc.2013.0472
Fölsz, F., Mészáros, C., Rapcsák, T.: Distribution of gas cylinders. Eur. J. Oper. Res. 87(3), 613–623 (1995). https://doi.org/10.1016/0377-2217(95)00234-0
Singamsetty, P., Thenepalle, J.: Designing optimal route for the distribution chain of a rural LPG delivery system. Int. J. Ind. Eng. Comput. 12(2), 221–234 (2021)
Yoshida, A., et al.: Long-Term Optimal Delivery Planning for Replacing the Liquefied Petroleum Gas Cylinder. arXiv preprint arXiv:2112.12530 (2021)
Fujikawa, H.: Gas cylinder distribution planning for saving the LP gas distributers. In: Presented at the 11th Global Conference on Sustainable Manufacturing, pp. 437–441 (2013)
Toki, S., Shiono, N., Honma, Y., Hasegawa, D.: Peak-shaving strategies for LP gas cylinder distribution based on IoT data. IEEE Trans. Electron. Inf. Syst. 142(8), 840–848 (2022). (in Japanese)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Shiono, N., Honma, Y., Maruyama, J., Toki, S. (2023). Planning Optimization of Cylinder Distribution via IoT. In: Vasant, P., Weber, GW., Marmolejo-Saucedo, J.A., Munapo, E., Thomas, J.J. (eds) Intelligent Computing & Optimization. ICO 2022. Lecture Notes in Networks and Systems, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-031-19958-5_29
Download citation
DOI: https://doi.org/10.1007/978-3-031-19958-5_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-19957-8
Online ISBN: 978-3-031-19958-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)