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Rakesh Nagi

Researcher at University of Illinois at Urbana–Champaign

Publications -  210
Citations -  5132

Rakesh Nagi is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Agile manufacturing & Supply chain. The author has an hindex of 34, co-authored 199 publications receiving 4725 citations. Previous affiliations of Rakesh Nagi include University at Buffalo & State University of New York System.

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A review of integrated analysis of production–distribution systems

TL;DR: In this paper, the authors present a review of recent work on integrated analysis of production-distribution systems, and identify important areas where further research is needed, such as how have logistics aspects been included in the integrated analysis, and what competitive advantages have been obtained from the integration of the distribution function to other production functions within a company and among different companies.
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A review of agile manufacturing systems

TL;DR: The concept of agile manufacturing was formulated in response to the constantly changing 'new economy' and as a basis for returning to global competitiveness as discussed by the authors, which is characterized by cooperativeness and synergism (possibly resulting in virtual corporations), by a strategic vision that enables thriving in face of continuous and unpredictable change, by the responsive creation and delivery of customer-valued, high quality and mass customized goods/services, by nimble organization structures of a knowledgeable and empowered workforce, and facilitated by an information infrastructure that links constituent partners in a unified electronic network.
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An efficient heuristic in manufacturing cell formation for group technology applications

TL;DR: In this article, a simple two-fold heuristic algorithm capable of minimizing inter-cell material movement, and addressing industrial applications of realistic dimensions, is presented, where the first step of the proposed heuristic is a bottom-up aggregation procedure to minimize what is defined as "Normalized Inter-Cell Traffic". The second step is a procedure to attempt further improvement, in which the significance of a machine to a cell is validated.
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Robust supply chain design under uncertain demand in agile manufacturing

TL;DR: A heuristic based on a k-shortest path algorithm is developed by using a surrogate distance to denote the effectiveness of each member in the supply chain and a ''good'' solution with a small gap relative to the lower bound is obtained in a short computational time.
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Fuzzy set theory applications in production management research: a literature survey

TL;DR: This paper provides a survey of the application of fuzzy set theory in production management research, and identifies selected bibliographies on fuzzy sets and applications.