This paper aims to address supply chain partners' incentives for information sharing from an information systems design perspective. Specifically, we consider a supply chain characterized by N geographically distributed retailers who order a homogeneous product from one manufacturer. Each retailer's demand risk consists of two parts: a systematic risk part that affects all retailers and an idio...

In their recent paper, Leng and Parlar (L&P) (2009) analyze information-sharing alliances in a three-level supply chain (consisting of a manufacturer, a distributor, and a retailer) that faces a nonstationary end demand. Supply chain members can share demand information, which reduces information distortion and thus decreases their inventory holding and shortage costs. We expand the results fro...

With the increasing complexities in supply chains and increasing global trade, integrated supply chain network design is utilized by the firms in order to reduce the overall cost while meeting the customer demand with requisite levels of service. This view of collaborative approach towards supply chain design has the potential of providing competitive edge for the firms in a highly competitive ...

In this research, the optimal pricing decisions for two complementary products in a two-echelon supply chain under two scenarios are studied. The proposed supply chain in each echelon includes one retailer and two manufacturers and the same complementary products are produced. In the first scenario, we assume the unit manufacturing costs of the complementary products in each echelon are the sam...

The bullwhip effect is the inherent increase in demand fluctuation up the supply chain (i.e., away from customer). Managing the bullwhip effect is minimizing the fluctuation and variation of the demand (i.e., orders from one stage of a supply chain to the next stage of the supply chain) throughout the supply chain. This paper will offer a literature review of this topic, note the key contributi...

This paper proposes a short-term water demand forecasting method based on the use of the Markov chain. This method provides estimates of future demands by calculating probabilities that the future demand value will fall within pre-assigned intervals covering the expected total variability. More specifically, two models based on homogeneous and non-homogeneous Markov chains were developed and pr...

Knowledge about customers is vital for supply chains in order to ensure customer satisfaction. In an ideal supply chain environment, supply chain partners are able to perform planning tasks collaboratively, because they share information. However, customers are not always able or willing to share information with their suppliers. End consumers, on the one hand, do not usually provide a retail c...

Spurred by intensifying competition in global markets, most companies have been increasingly implementing supply chain management (SCM) and information systems (IS) practices. As well, globalization policies have created a more intensive competition amongst manufacturers; in additional the priority of supply over demand, market competition and importance of some factor such as quality, accounta...

We investigate the operational decisions and resulting profits for a supply chain facing price-dependent demand under a policy where there is an ex-ante commitment made on the retail price markup. We obtain closed-form solutions for this policy under the assumption of a multiplicative demand function and we analytically compare its performance with that of a traditional price-only policy. We co...

Unified Demand Planning process proposed is an intention to centralize demand planning activities for cascaded supply chain partners. It is a collaboration process based on electronic logistics.