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Authors: Tushar Lone ; Lekshmi P. and Neha Karanjkar

Affiliation: Indian Institute of Technology Goa, India

Keyword(s): Supply Chains, Inventory, Discrete-Event Simulation, Python, Meta-Models, Optimization.

Abstract: This paper presents the design overview and work-in-progress status for InventOpt - a Python-based, open tool-set for simulation, design space exploration and optimization of supply chains and inventory systems. InventOpt consists of a Python library of component models that can be instantiated and connected together to model and simulate complex supply chains. In addition, InventOpt contains a GUI-based tool to assist the user in planning design of experiments, visualizing the objective functions over a multi-dimensional design space, building and tuning meta-models and performing meta-model assisted optimization to identify promising regions in the design space. We present a detailed case study that illustrates the current prototype implementation, planned features and utility of the tool-set. The case study consists of simulation-based optimization of inventory threshold levels in a particular supply chain system with 8 decision parameters. We present our observations from the cas e study that lead to design decisions for building InventOpt such as the choice of the meta-model type, number of simulation measurements for building the meta-model, the choice of optimizer and the trade-off between computational cost and quality of results. A significant aspect of this work is that each step of the process has been implemented using open Python libraries. (More)

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Paper citation in several formats:
Lone, T. ; P., L. and Karanjkar, N. (2023). An Open Tool-Set for Simulation, Design-Space Exploration and Optimization of Supply Chains and Inventory Problems. In Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-668-2; ISSN 2184-2841, SciTePress, pages 432-439. DOI: 10.5220/0012133300003546

@conference{simultech23,
author={Tushar Lone and Lekshmi P. and Neha Karanjkar},
title={An Open Tool-Set for Simulation, Design-Space Exploration and Optimization of Supply Chains and Inventory Problems},
booktitle={Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2023},
pages={432-439},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012133300003546},
isbn={978-989-758-668-2},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - An Open Tool-Set for Simulation, Design-Space Exploration and Optimization of Supply Chains and Inventory Problems
SN - 978-989-758-668-2
IS - 2184-2841
AU - Lone, T.
AU - P., L.
AU - Karanjkar, N.
PY - 2023
SP - 432
EP - 439
DO - 10.5220/0012133300003546
PB - SciTePress