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Supply Chain Information Sharing In A Macro Prediction Market, Zhiling Guo, Fang Fang, Andrew B. Whinston Dec 2006

Supply Chain Information Sharing In A Macro Prediction Market, Zhiling Guo, Fang Fang, Andrew B. Whinston

Research Collection School Of Computing and Information Systems

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 idiosyncratic risk part that only has a local effect. We propose a macro prediction market to effectively elicit and aggregate useful information about systematic demand risk. We show that such information can be used to achieve accurate demand forecast sharing and better channel coordination …


Managing Information Flows:The Key To Effective Supply Chain Integration, Edward Sweeney Jun 2006

Managing Information Flows:The Key To Effective Supply Chain Integration, Edward Sweeney

Practitioner Journals

No abstract provided.


A Supply Chain Collaboration Solution Using Xquery, Bharani Govindasamy May 2006

A Supply Chain Collaboration Solution Using Xquery, Bharani Govindasamy

Theses

Enterprises in a collaborative supply chain share information for quick and intelligent decision making. Collaborative Planning, Forecasting and Replenishment (CPFR), a business model developed by an organization called Voluntary Inter-industry Commerce Standards, defines a set of business processes to collaborate on planning, forecasting and replenishment activities to arrive at a common order. This involves sharing sales forecast, order forecast and promotion information among business partners. The Internet has paved the way for using Web Services to share this information as XML data in real time and to make it available across enterprises. Enterprises need to access this information and integrate …


From The Management Of Distribution To The Management Of Supply Chains: The Evolution Of Scm, Edward Sweeney Mar 2006

From The Management Of Distribution To The Management Of Supply Chains: The Evolution Of Scm, Edward Sweeney

Practitioner Journals

No abstract provided.


As The Pmi Turns: A Tool For The Supply Chain Manager, Matthew Lindsey, Robert Pavur Feb 2006

As The Pmi Turns: A Tool For The Supply Chain Manager, Matthew Lindsey, Robert Pavur

Faculty Publications

Supply chain managers use the PMI, an index of business activity and proxy for the general business cycle, to obtain valuable information important to strategic managerial planning. This research explores a methodology to provide managerial insight into the general business cycle by tracking and forecasting cycle turns in the PMI. A regression model is developed based on inherent cycles in the PMI between 12 and 65 months to forecast turning points for the index and anticipate changes in the business cycle, which is superior to the more commonly used Box-Jenkins forecasting technique. Strategic planning using this knowledge allows management to …


Managing Supply Chain Management Improvement Programs, Edward Sweeney Jan 2006

Managing Supply Chain Management Improvement Programs, Edward Sweeney

Practitioner Journals

No abstract provided.


Indiana Furniture Supply Chain, Ananth V. Iyer, Svenja Sommer, Amanda Thompson, Justina Mikals Jan 2006

Indiana Furniture Supply Chain, Ananth V. Iyer, Svenja Sommer, Amanda Thompson, Justina Mikals

JTRP Technical Reports

An initial survey assessing overall supply chain issues was reviewed with twenty Indiana wood products companies. A longer follow up survey accompanied by in-person interviews, assessed more specific supply chain issues, and was reviewed with ten Dubois County wood products companies. From this, a supply chain map of major suppliers and customers located both inside and outside of Indiana was developed. The research also attempted to capture the industry trends and characteristics in a formal model, to explore the impact of INDOT projects on the competitiveness of the industry.