We incorporate information flow between a supplier and a retailer in a two-echelon model that captures the capacitated setting of a typical supply chain. We consider three situations: (1) a traditional model where there is no information to the supplier prior to a demand to him except for past data; (2) the supplier knows the (s, S) policy used by the retailer as well as the end-item demand distribution; and (3) the supplier has full information about the state of the retailer. Order up-to policies continue to be optimal for models with information flow for the finite horizon, the infinite horizon discounted and the infinite horizon average cost cases. Study of these three models enables us to understand the relationships between capacity, inventory, and information at the supplier level, as well as how they are affected by the retailer's (S - s) values and end-item demand distribution. We estimate the savings at the supplier due to information flow and study when information is most beneficial.information sharing, (s, S) policy, optimal policies, capacitated production-inventory model, infinitesimal perturbation analysis

This study investigates whether VCs' assessment policies of new venture survival are consistent with those arising from the strategy literature (using two established strategy perspectives). Strategy scholars suggest the nature of the markets, competition, and decisions made by the management team affect a new venture's survival chances. The findings demonstrate that VCs' assessment policies are predominantly consistent with those proposed by strategy scholars---providing insight into why VCs consider certain criteria in their assessment of new venture survival as well as why some criteria are more important in their assessment than others. Through this increased understanding of venture capitalists' decision making, entrepreneurs seeking capital may be better able to address their requests for funding to those criteria venture capitalists find most critical to the survival of a new venture. Venture capitalists may use these findings to better understand their own decision making process, which, in turn, provides the opportunity to increase evaluation efficiency.venture capital, decision models, new venture strategy, survival, conjoint analysis

No abstract

In this paper, a risk-neutral manufacturer sells a single product to a risk-neutral retailer. The retailer chooses inventories ex ante and promotional effort ex post. If the wholesale price exceeds marginal production cost, the retailer orders fewer than the joint profit-maximizing inventories. If the manufacturer attempts to coordinate inventories by buying back unsold units, then the retailer's promotional incentives are dulled. Under very general assumptions on the form of the effort function, we show that buy-backs adversely affect supply chain profits, and higher buy-back prices imply lower profits. Also, while a buy-back alone cannot coordinate the channel, coupling buy-backs with promotional cost-sharing agreements (if effort cost is observable), offering unilateral markdown allowances ex post (if demand is observable but not verifiable), or placing additional constraints on the buy-back (if demand is observable and verifiable) does result in coordination. This problem is not limited to returns policies but is shown to hold for a much larger set of contracts. The results are quite robust (e.g., when the retailer chooses effort before observing demand), but coordinating contracts become more problematic if, for example, the retailer also stocks substitutes for the manufacturer's product. Other model extensions are also discussed.supply chain management, sales effort, promotional effort, supply contracts, incentives, channel coordination, inventory management, buyback, returns policies, cost sharing, markdown allowance

This paper demonstrates optimal policies for capacitated serial multiechelon production/inventory systems. Extending the Clark and Scarf (1960) model to include installations with production capacity limits, we demonstrate that a modified echelon base-stock policy is optimal in a two-stage system when there is a smaller capacity at the downstream facility. This is shown by decomposing the dynamic programming value function into value functions dependent upon individual echelon stock variables. We show that the optimal structure holds for both stationary and nonstationary stochastic customer demand. Finite-horizon and infinite-horizon results are included under discounted-cost and average-cost criteria.

This paper models a type of vendor-managed inventory (VMI) agreement that occurs in practice called a (z, Z) contract. We investigate the savings due to better coordination of production and delivery facilitated by such an agreement. The optimal behavior of both the supplier and the retailer are characterized. The optimal replenishment and production policies for a supplier are found to be up-to policies, which are shown to be easily computed by decoupling the periods when the supplier outsources from those when the supplier does not outsource. A simple application of the newsvendor relation is used to define the retailer's optimal policy. Numerical analysis is conducted to compare the performance of a single supplier and a single retailer operating under a (z, Z) VMI contract with the performance of those operating under traditional retailer-managed inventory (RMI) with information sharing. Our results verify some observations made in industry about VMI and show that the (z, Z) type of VMI agreement performs significantly better than RMI in many settings, but can perform worse in others.Vendor-Managed Inventory, Supply Chain, Contract, Markov Decision Process, Multi-Echelon

No abstract

For a single product, single-stage capacitated production-inventory model with stochastic, periodic (cyclic) demand, we nd the optimal policy and characterize some of its properties. We study the nite-horizon, the discounted in nite-horizon and the in nitehorizon average cases. A simulation based optimization method is provided to compute the optimal parameters. Based on a numerical study, several insights into the model are also provided.