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Xiaochuan Luo
Researcher at Northeastern University
Publications - 14
Citations - 293
Xiaochuan Luo is an academic researcher from Northeastern University. The author has contributed to research in topics: New product development & Enterprise information system. The author has an hindex of 7, co-authored 14 publications receiving 272 citations. Previous affiliations of Xiaochuan Luo include Chinese Ministry of Education & University of Technology of Troyes.
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Integrating knowledge management and ERP in enterprise information systems
TL;DR: This paper discusses how to deploy KM and ERP concurrently in the framework of enterprise information systems, with a discussion of the interaction of KM andERP systems in systems perspectives.
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Integrating supplier selection in optimal product family design
TL;DR: In this paper, a unified optimisation model, which integrates product family design with supplier selection, is established with the objective of maximising the total profit of a product family, and a linear programming embedded genetic algorithm is developed to solve the proposed model.
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A branch-and-bound algorithm of the single machine schedule with sequence-dependent setup times for minimizing maximum tardiness
TL;DR: An algorithm based on branch-and-bound permutation schemes is developed including the implementation of lower and upper bounding procedures, and three dominance rules to address the NP-hard problem of scheduling N jobs on a single machine with due dates, sequence-dependent setup times and no preemption.
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Determining optimal levels of engineering characteristics in quality function deployment under multi-segment market
TL;DR: A methodology which mainly involves a market survey, fuzzy clustering, quality function deployment (QFD), fuzzy optimization and fuzzy optimization, is proposed to achieve the optimal target settings of engineering characteristics (ECs) of a new product under a multi-segment market.
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Optimal product positioning with consideration of negative utility effect on consumer choice rule
TL;DR: This study considers the problem for multinomial logit rule by introducing a piecewise function and establishing a conjoint-analysis-based one-step optimization model for product positioning and develops an interval- analysis-embedded Tabu Search algorithm for solving the model.