In this work, we propose extending the production planning decisions of a chemical process network to include optimal contract selection under uncertainty with suppliers and product selling price optimization. We use three quantity-based contract models: discount after a certain purchased amount, bulk discount, and fixed duration contracts. We propose the use of general regression models to des...

T o avoid inventory risks, manufacturers often place rush orders with suppliers only after they receive firm orders from their customers (retailers). Rush orders are costly to both parties because the supplier incurs higher production costs. We consider a situation where the supplier’s production cost is reduced if the manufacturer can place some of its order in advance. In addition to the rush...

In this paper we analyze a supply contract for a single product that speci®es that the cumulative orders placed by a buyer, over a ®nite horizon, be at least as large as a (contracted upon) given quantity. We assume that the demand for the product is uncertain, and the buyer places orders periodically. We derive the optimal purchase policy for the buyer for a given total minimum quantity commit...

One of the most important things in pursuit of supply chain management is to prevent sub-optimization caused by decentralized decision making over the various entities. As a solution of the issue, supply chain coordination approach has frequently been used. However, a coordinated supply chain might fail to provide additional profit to one of the players. A supply chain contract can be to achiev...

In this research, two risk hedging strategies, the option contract and the advance purchase discount contract, are investigated within a manufacturer–retailer two-echelon supply chain context. This study offers three contributions. First, the optimal decisions under the two contracts from the perspectives of both the manufacturer and the retailer are determined. Second, circumstances under whic...

In the circumstance that unexpected events lead to information asymmetry of sales costs, supplier risk aversion and stochastic price, this paper discusses internal law using an emergency quantity discount contract coordinate supply chain. First, Conditional Value at Risk (CVaR) model under condition symmetry is constructed. addition, extended game CVaR asymmetric costs solved. After that, simul...

This paper considers a manufacturer selling to a newsvendor retailer that possesses superior demand-forecast information. We show that the manufacturer’s expected profit is convex in the retailer’s forecasting accuracy: The manufacturer benefits from selling to a better-forecasting retailer if and only if the retailer is already a good forecaster. If the retailer has poor forecasting capabiliti...

T This paper analyzes different pricing strategies in a two-echelon supply chain including one supplier and two retailers. The supplier and the retailers face random yield and random demand, respectively. Moreover, coordination or non-coordination of retailers in receiving the discount is investigated. Game theory is used to model and analyze the problems. The supplier as a leader of Stackelbe...

In this paper, a discount model is proposed to coordinate pricing and ordering decisions in a two-echelon supply chain (SC). Demand is stochastic and price sensitive while lead times are fixed. Decentralized decision making where downstream decides on selling price and order size is investigated. Then, joint pricing and ordering decisions are extracted where both members act as a single entity ...

Joint economic lot sizing (JELS) addresses integrated inventory models in a supply chain. Most of the studies in this field either do not consider the role of the transportation cost in their analysis or consider transportation cost as a fixed part of the ordering costs. In this article, a model is developed to analyze an incremental quantity discount in transportation cost. Appropriate equatio...