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A finite source retrial queueing inventory system with stock dependent arrival and heterogeneous servers
T Harikrishnan1, K Jeganathan2, Shweta Redkar3
1Department of Mathematics, Guru Nanak College (Autonomous), Chennai, India.
This study analyzes a stochastic inventory system where arrival rates depend on stock levels. It examines how server speeds affect customer waiting times and system efficiency, offering insights for inventory management.
Area of Science:
- Operations Research
- Stochastic Modeling
Background:
- Inventory systems are crucial for supply chain management.
- Stochastic models help analyze complex systems with uncertainty.
Purpose of the Study:
- To analyze a finite-source, stock-dependent stochastic inventory system with multiple servers and a retrial facility.
- To investigate the impact of (s, Q) ordering policy on system performance.
- To evaluate the effect of homogeneous and heterogeneous service rates on key performance metrics.
Main Methods:
- Developed a mathematical model for the inventory system.
- Calculated steady-state joint probability distribution for inventory, servers, and customer queues.
- Conducted numerical analysis comparing homogeneous and heterogeneous service rates.
Main Results:
- The study provides the joint probability distribution for system states.
- Numerical analysis reveals the impact of service rate variations on customer impatience and retrial success.
- Identified optimal strategies for managing inventory and customer flow.
Conclusions:
- The stock-dependent arrival rate significantly influences system dynamics.
- Service rate heterogeneity impacts system performance metrics like customer waiting and retrial success.
- The (s, Q) policy effectively manages inventory levels in this stochastic environment.
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