Stochastic modelling and analysis: a computational approach
Stochastic modelling and analysis: a computational approach
Delays for customers from different arrival streams to a queue
Management Science
On the effect of demand randomness on inventories and costs
Operations Research
The Markov-modulated Poisson process (MMPP) cookbook
Performance Evaluation
The effect of leadtime uncertainty in a simple stochastic inventory model
Management Science
Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Coordinating production and inventory to improve service
Management Science
Capacity Allocation Using Past Sales: When to Turn-And-Earn
Management Science
Simulation Modeling and Analysis
Simulation Modeling and Analysis
A Multiclass Hybrid Production Center in Heavy Traffic
Operations Research
Assessing the Value of Information Sharing in a Promotional Retail Environment
Manufacturing & Service Operations Management
Time Value of Commercial Product Returns
Management Science
The Effect of Lead Time and Demand Uncertainties in (r, q) Inventory Systems
Operations Research
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We model a supply chain with two retail warehouses that place replenishment orders with a common manufacturing capacity. The two retailers differ in the variability of their order-streams. The order-stream from one retail warehouse is modeled as a Poisson process and from the other as a hyperexponential renewal process. Each retail warehouse uses a base-stock policy to place replenishment orders with the manufacturer. The manufacturer is modeled as a first-come-first-serve, single exponential server queue. We analyze the supply-side impact of this mixture of order-streams received by the manufacturer on both retailers. An exact analysis of this base-model generates closed-form expressions for distributions of the lead-time, outstanding orders, and expected inventory costs for each retailer, and leads to comparative results about the two retailers- performance measures. The base-model is extended to accommodate finished goods at the manufacturer, more than two retailers, and bulk-arrivals. We use the model to suggest managerial insights about the impact of the presence of a high-variability retailer on other retailers who share capacity, the distorting impact of manufacturer finished goods inventory on retailer incentives, and the incentives for retailers to participate in variability-reduction programs in the grocery industry.