2819. A Simulation Approach Risk Mitigation and Procurement Scheduling in Dairy Supply Chain
Invited abstract in session TC-12: Application of scheduling models, stream Scheduling and Project Management.
Tuesday, 12:30-14:00Room: Clarendon SR 1.02
Authors (first author is the speaker)
| 1. | Pratik Maheshwari
|
| Operations and Supply Chain, Indian Institute of Management Jammu, India | |
| 2. | Yashoda Devi
|
| Indian Institute of Management Jammu, India |
Abstract
This research aims to identify the challenges dairy industries face due to fluctuating demand, uncertainty of raw material providers, perishability, supply chain disruptions, and lack of cold-chain logistics network. The literature provided insides for effective process scheduling to manage seamless operations, minimize costs, and ensure agility and resilience of the supply chain. However, the literature review is evident that most of the studies either based on procurement process optimization or simulation or risk assessment independently but fewer studies have to establish the setup for stress-test of the supply chain in the given scenario. To test the robustness of the procurement schedule, we introduce stress-testing scenarios, including Supplier Disruptions, Logistics Bottlenecks, and Demand Surges. The proposed model is built and conceptualized using AnyLogistix simulation software. We validated the process using Mixed Integer Linear Programming with Python as the solution approach. Additionally, we conducted further sensitivity analysis and contributes to Systems Theory and Supply Chain Resilience Theory. This research aligns with UN SDG 12 by optimizing procurement scheduling to minimize waste, enhance resource efficiency. The proposed procurement schedule determines the optimal quantity of raw materials to order, the supplier allocation, and the precise order timing for each cycle.
Keywords
- Logistics
- Supply Chain Management
- Sustainable Development
Status: accepted
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