Abstract On the premise of discrete simulation technology, the study developed a simulation approach to quantify firms’ business operations and performances in a multi-tier supply chain. By careful simulation scenario design and statistical validation, the simulation model was applied to understand one practical business problem, i.e., how to evaluate the business model and its trade-off of imp...

An optimization-based control framework that simultaneously determines the optimal inventory and product pricing policies is developed for multi-product, multi-echelon supply chain networks. The optimization problem aims at adjusting the available manufacturing resources, product transportation, inventories and prices for the entire supply chain network to satisfy demand while maximizing networ...

We develop a theoretical model about how organizations cope with the bullwhip effect created by consumer demand uncertainty through product modularity and information sharing across the supply chain. Unpredictability of consumer demand is likely to accentuate inventory flows in the supply chain. Information sharing and product modularity can be used by organizations to mediate the impact of unc...

Production decisions in a manufacturing supply chain are no longer driven by manual systems based on instinct and experience. They are regulated interactions between analysts, production managers and their collective manipulation of policies within the production information system. This paper studies the demand behavior in manufacturing supply chains and its relationships to the logic of produ...

We study the price competition of two supply chains with demand uncertainty. Each supply chain consists of one risk-averse manufacturer and one risk-averse retailer. We consider two cases: two competing decentralized supply chains and two competing integrated supply chains. We analyze the effects of the demand uncertainty on the supply chains’ expected profits. In the first case, we find that t...

We develop a price competition model for a new supply chain that competes in a market comprised of some rival supply chains. The new supply chain has one risk-neutral manufacturer and one risk-averse retailer in which the manufacturer is a leader and retailer is a follower. The manufacturer pays a fraction of the risk cost (caused by demand uncertainty) to the retailer. We apply this competitiv...

An efficient and accurate demand forecast becomes imperative for enhancement of commericial competitive advantage at al the stages of supply chain , escpically in the absence of collaborative supply chain management.Procurement decisions in the upstream supply chain to buy right quantity at right time for effective inventory management decisions depend on the accurate prediction of demand The o...

Abstract This paper considers a supply chain with the first order autoregressive and the first order moving average (ARMA (1,1)) demand. The lead time demand is estimated using the minimum mean-square error (MMSE) forecasting technique. The expression of the bullwhip effect for a two stage supply chain consisting of one supplier and one retailer is derived, and the existence condition of the bu...