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Jerry C. Wei

Researcher at University of Notre Dame

Publications -  26
Citations -  2000

Jerry C. Wei is an academic researcher from University of Notre Dame. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 16, co-authored 26 publications receiving 1868 citations. Previous affiliations of Jerry C. Wei include College of Business Administration & Mendoza College of Business.

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Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain

TL;DR: In this paper, the impact of e-Business technologies on supply chain practices remains largely an unexplored area of research, and the authors hypothesize that while there may be no direct benefit of ebusiness technologies on performance, these technologies might support customer integration and supplier integration in the supply chain, which in turn might impact operating performance.
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Coordinating advertising and pricing in a manufacturer-retailer channel

TL;DR: This paper addresses channel coordination by seeking optimal cooperative advertising strategies and equilibrium pricing in a two-member distribution channel and identifies the feasible solutions to a bargaining problem where the channel members can determine how to divide the extra profits.
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Responding to schedule changes in build‐to‐order supply chains

TL;DR: In this article, the authors examined the relationship and supply chain processes between a notebook computer manufacturer and five component suppliers, and two distinct reaction strategies emerged from these five buyer-supplier dyads.
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Commonality analysis: A linear cell clustering algorithm for group technology

TL;DR: In this paper, the authors present a linear clustering algorithm based on the calculation of a commonality score which indicates the similarity in the way two machines are used in the shop to manufacture the products or parts.
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An Optimal Model for Cell Formation Decisions

TL;DR: An optimal 0–1 integer programming model is used to provide an analysis for determining which machines and parts should be assigned to cells in cellular manufacturing layouts, which minimizes the cost of manufacturing exceptional parts outside the cellular system.