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Now showing items 17 - 32 of 201

  • Emerging production optimization issues in supply chain systems

    Choi, Tsan-Ming   Wang, Mingzheng   Yue, Xiaohang  

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  • Risk management of logistics systems

    Choi, Tsan-Ming   Chiu, Chun-Hung   Chan, Hing-Kai  

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  • Multi-Methodological Research in Operations Management

    Choi, Tsan-Ming   Cheng, T. C. E.   Zhao, Xiande  

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  • Responsive supply in fashion mass customisation systems with consumer returns

    Choi, Tsan-Ming   Guo, Shu  

    Mass customisation systems have been well-established in the fashion industry. Some fashion brands offer the mass customisation system for their selected seasonal products, and allow unconditional returns and full refund for any unsatisfied customers. Motivated by the above mentioned observed industrial practice and based on the growing importance of responsive supply, we explore in this paper the value of quick response supply in fashion mass customisation systems with consumer returns. We focus on investigating how the consumer returns rate affects (i) the optimal inventory decision of the fashion brand, (ii) the achievability of Pareto improvement in implementing quick response supply, (iii) the respective values of quick response for the fashion brand, the fashion supplier and also the fashion supply chain, and (iv) the impact of quick response supply on the environment. We interestingly find that consumer returns enhance the value of quick response supply to the fashion supplier. Quick response supply is also found to be helpful in reducing the environmental cost under the fashion mass customisation system with consumer returns.
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  • Used intimate apparel collection programs: A game-theoretic analytical study

    Choi, Tsan-Ming   Chow, Pui-Sze   Lee, Chang Hwan   Shen, Bin  

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  • Optimization and Control for Systems in the Big Data Era:Concluding Remarks

    Choi, Tsan-Ming   Gao, Jianjun   Lambert, James H.   Ng, Chi-Kong   Wang, Jun  

    In the big data era, new research opportunities and challenges exist for systems optimization and control problems. In this concluding chapter, we share several probable related areas which may lead to fruitful research in the future. We also summarize the future research directions proposed by papers featured in this book.
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  • Service supply chain management: A review of operational models

    Wang, Yulan   Wallace, Stein W.   Shen, Bin   Choi, Tsan-Ming  

    Given the growing importance of service supply chain management (SSCM) in operations, we review a selection of papers in the operations research and the management science (OR/MS) literature that focus on innovative measures associated with the SSCM. First, we review and discuss the definitions of service supply chains (SSCs) and categorize SSCs into the Service Only Supply Chains (SOSCs) and the Product Service Supply Chains (PSSCs). Second, by classifying the literature into three major areas, namely service supply management, service demand management, and the coordination of service supply chains, we derive insights into the current state of knowledge in each area, and examine the evolution of the SSCM research over the past decade. Finally, we identify some associated research challenges and explore future directions for research on SSCM from an operational perspective. (C) 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved.
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  • Search-Based Advertising Auctions With Choice-Based Budget Constraint

    Choi, Tsan-Ming   Li, Xun   Ma, Cheng  

    In this paper, we model and formulate the search-based advertising auction problem with multiple slots, choice behaviors of advertisers, and the popular generalized second-price mechanism. A Lagrangian-based method is then proposed for tackling this problem. We present an extension to the subgradient algorithm based on Lagrangian relaxation coupled with the column generation method in order to improve the dual multipliers and accelerate its convergence. Simulation results show that the proposed algorithm is efficient and it shows significant improvement compared to the greedy algorithm.
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  • Quick Response in Supply Chains with Stochastically Risk Sensitive Retailers*

    Choi, Tsan-Ming   Zhang, Juzhi   Cheng, T. C. Edwin  

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  • Innovative supply chain optimization models with multiple uncertainty factors

    Choi, Tsan-Ming   Govindan, Kannan   Li, Xiang   Li, Yongjian  

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  • Responsive supply in fashion mass customisation systems with consumer returns

    Choi, Tsan-Ming   Guo, Shu  

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  • Optimal advertising and pricing for new green products in the circular economy

    Shen, Bin   Liu, Shenyan   Zhang, Ting   Choi, Tsan-Ming  

    In the circular economy era, environmental sustainability is critical, and both green and non-green products with similar functions co-exist in practice. There is little doubt that these two types of products are competing and may substitute one another even though one is more environmental friendly than the other. In this paper, we build analytical models to explore the optimal advertising and pricing decisions for a green product in the presence of a non-green product substitute. We investigate both simultaneous and sequential pricing strategies under which there are three possible pricing scenarios, namely: 1) both prices of green and non-green products are determined simultaneously (Strategy IP), 2) the green product's price is decided first and then the non-green product's price is determined (Strategy GL), and 3) the non-green product's price is decided first and then the green product's price is determined (Strategy NL). We find that the sequential pricing strategy is more profitable than the simultaneous pricing strategy for both green and non-green supply chains. It is interesting to prove the existence of "second-mover advantage" in the pricing game. Moreover, we identify that if the green supply chain uses Strategy NL, it could achieve a better performance in profit and minimize the corresponding environmental impact. If the green supply chain is truly socially responsible, it should design a product with low substitutability, so that the environmental impact can be enhanced. Furthermore, our numerical results indicate that Strategy IP never performs the best in terms of consumer surplus and social welfare when the product substitution level is sufficiently high. Findings of this paper contribute to the literature on cleaner production systems in the circular economy era. (C) 2019 Elsevier Ltd. All rights reserved.
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  • Advances in Forecasting-Mediated Operations Management in Big Data Era Preface

    Choi, Tsan-Ming   Chan, Hing Kai   Yue, Xiaohang  

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  • Facing market disruptions: values of elastic logistics in service supply chains

    Choi, Tsan-Ming  

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  • Supply Chain Systems Coordination With Multiple Risk Sensitive Retail Buyers

    Choi, Tsan-Ming  

    This paper explores supply chain systems coordination challenges in the presence of multiple heterogeneous risk sensitive retail buyers using the commonly seen markdown contract under both information symmetric and asymmetric settings. For each setting, we explore two scenarios. The first scenario allows the upstream manufacturer to freely set a separate contract to each risk averse retailer, whereas the second scenario specifies that the manufacturer has to grant the same contract to each risk averse retailer under the fair trade rule. We analytically show that the markdown contract which can achieve "perfect coordination" only exists in the first scenario (without the fair trade rule) under the information symmetric setting. For all the other scenarios, we find that perfect coordination cannot be achieved by the markdown contract, and hence we develop the computational algorithms to help identify the markdown contract parameter(s) which can achieve the "best possible coordination." In addition, we reveal that the manufacturer's risk attitude does significantly affect the achievability of perfect coordination. The findings of this paper also provide analytical evidence to show that the fair trade rule would do more harm than good for supply chain systems optimization under simple supply contracts.
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  • Fast fashion sales forecasting with limited data and time

    Choi, Tsan-Ming   Hui, Chi-Leung   Liu, Na   Ng, Sau-Fun   Yu, Yong  

    Fast fashion is a commonly adopted strategy in fashion retailing. Under fast fashion, operational decisions have to be made with a tight schedule and the corresponding forecasting method has to be completed with very limited data within a limited time duration. Motivated by fast fashion business practices, in this paper, an intelligent forecasting algorithm, which combines tools such as the extreme learning machine and the grey model, is developed. Our real data analysis demonstrates that this newly derived algorithm can generate reasonably good forecasting under the given time and data constraints. Further analysis with an artificial dataset shows that the proposed algorithm performs especially well when either (i) the demand trend slope is large, or (ii) the seasonal cycle's variance is large. These two features fit the fast fashion demand pattern very well because the trend factor is significant and the seasonal cycle is usually highly variable in fast fashion. The results from this paper lay the foundation which can help to achieve real time sales forecasting for fast fashion operations in the future. Some managerial implications are also discussed. (C) 2013 Elsevier B.V. All rights reserved.
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