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Now showing items 129 - 144 of 201

  • Sustainable Fashion Supply Chain Management || Sustainable Supply Chain Management in the Slow-Fashion Industry

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

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  • Online-offline fashion franchising supply chains without channel conflicts: Choices on postponement and contracts

    Choi, Tsan-Ming   Chen, Yue   Chung, Sai Ho  

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  • Competitive Capacity and Price Decisions for Two Build-to-Order Manufacturers Facing Time-Dependent Demands

    Xiao, Tiaojun   Choi, Tsan-Ming  

    This paper develops game-theoretic models to investigate the optimal competitive capacity-price decisions for two build-to-order manufacturers when they face the disruption of a random demand surge. Both manufacturers have their fixed capacity and pricing decisions for the low-demand period. When there is a sudden demand increase, they can temporally acquire extra capacity and change their pricing decisions. Our goal is to determine the optimal joint capacity and pricing decisions for both low- and high-demand periods. We show that there exists a unique subgame perfect Nash equilibrium that is affected by the distribution of the disrupted amount of demand, the duration of the demand change, the market scale, the unit production cost, and the subcontracting cost. The recommendations on how and when the manufacturers should strategically increase their profits by adjusting their capacities and prices are provided. We also find that the demand disruption largely influences the motivation of the manufacturers to acquire capacity information when the cost of acquiring capacity information is considered. The effects of capacity and pricing competition are investigated. Insights are generated, and future research directions are outlined.
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  • [International Series in Operations Research & Management Science] Handbook of Newsvendor Problems Volume 176 ||

    Choi, Tsan-Ming  

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  • A new approach for fabric hand prediction with a nearest neighbor algorithm-based feature selection scheme

    Yu, Yong   Hui, Chi Leung Patrick   Choi, Tsan-Ming   Ng, Sau Fun Frency  

    Fabric hand refers to the subjective perception of fabric mechanical properties. It is an important factor in fabric selection. In the literature, various instruments and tools have been developed to evaluate fabric hand by means of the related physical and mechanical properties. These works have studied the prediction of fabric specimens based on the fabric hand descriptors via either traditional statistical methods or artificial intelligence methods. The artificial neural network (ANN) model and its variation, the fuzzy neural network (FNN)-based intelligent fabric hand prediction system have been studied previously, and they show good accuracy in the forecasting task. The FNN model is especially useful as it provides good prediction accuracy and understandable rule-set at the same time. However, real-world application of the FNN model is restricted because of the great burden of required computation. In this paper, a nearest neighbor algorithm is used for feature selection to reduce computation burden. An improved FNN-based fabric hand prediction model is devised. Data sets collected from 30 participants' evaluation on a set of 20 fabric specimens, taken from the data source used by Lau et al., are used to verify the proposed system; the system is found to be capable of carrying out fabric hand predictions with many input parameters quickly and with good accuracy.
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  • A review on supply chain contracting with information considerations:information updating and information asymmetry

    Shen, Bin   Choi, Tsan-Ming   Minner, Stefan  

    Supply chain contracting and the use of information are undoubtedly two critical and influential areas in modern supply chain management. However, relatively little is known about supply chain contracting mechanisms with different information settings. To fill this gap, we review and classify the related supply chain contracting literature into three categories with respect to different kinds of information considerations, namely (i) demand information updating, (ii) supply information updating and (iii) information asymmetry. We report the publication trend and classify the commonly studied supply chain contracts with the use of information such as pricing contracts, commitment contracts and menu of contracts. We discuss how contracting and the use of information influence each other in the supply chain. Moreover, we review the major application areas of information usage and report the historical development of major related topics. Finally, we propose several important future research directions.
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  • [International Series in Operations Research & Management Science] Handbook of EOQ Inventory Problems Volume 197 ||

    Choi, Tsan-Ming  

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  • Terminal appointment system design by non-stationary M(t)/E-k/c(t) queueing model and genetic algorithm

    Chen, Gang   Govindan, Kannan   Yang, Zhong-Zhen   Choi, Tsan-Ming   Jiang, Liping  

    Long truck queue is a common problem at big marine container terminals, where the resources and equipment are usually scheduled to serve ships prior to trucks. To reduce truck queues, some container terminals adopt terminal appointment system (TAS) to manage truck arrivals. This paper addresses two implementation scenarios of TAS: static TAS (STAS) and dynamic TAS (DTAS). First, a non-stationary M(t)/E-k/c(t) queueing model is used to analyse a terminal gate system, and solved with a new approximation approach. Then, genetic algorithm is applied to optimise the hourly quota of entry appointments in STAS for the derived queueing model. Lastly to relax the assumption of knowing the truckers' preferred arrival pattern in STAS, we propose the concept of DTAS, which is much easier to apply and can assist individual trucker in making appointment by providing real-time estimation of waiting time based on existing appointments. Our analysis reveals DTAS can significantly increase the system flexibility. (C) 2013 Elsevier B.V. All rights reserved.
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  • A Novel Hybrid Ant Colony Optimization Algorithm for Emergency Transportation Problems During Post-Disaster Scenarios

    Wang, Xinyu   Choi, Tsan-Ming   Liu, Haikuo   Yue, Xiaohang  

    The increasing impacts of natural disasters have led to concerns regarding predisaster plans and post-disaster responses. During post-disaster responses, emergency transportation is the most important part of disaster relief supply chain operations, and its optimal planning differs from traditional transportation problems in the objective function and complex constraints. In disaster scenarios, fairness and effectiveness are two important aspects. This paper investigates emergency transportation in real-life disasters scenarios and formulates the problem as an integer linear programming model (called cum-MDVRP), which combines cumulative vehicle routing problem and multidepot vehicle routing problem. The cum-MDVRP is NP-hard. To solve it, a novel hybrid ant colony optimizationbased algorithm is proposed by combining both saving algorithms and a simple two-step 2-opt algorithm. The proposed algorithm allows ants to go in and out the depots for multiple rounds, so we abbreviate it as ACOMR. Moreover, we present a smart design of the ants' tabus, which helps to simplify the solution constructing process. The ACOMR could yield good solutions quickly, then the decision makers for emergency responses could do expert planning at the earliest time. Computational results on standard benchmarking data sets show that the proposed cum-MDVRP model performs well, and the ACOMR algorithm is more effective and stable than the existing algorithms.
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  • Impacts of lead time reduction on fabric sourcing in apparel production with yield and environmental considerations

    Choi, Tsan-Ming   Cai, Ya-Jun  

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  • Optimal reservation pricing strategy for a fashion supply chain with forecast update and asymmetric cost information

    Yang, Danqin   Xiao, Tiaojun   Choi, Tsan-Ming   Cheng, T. C. E.  

    We address the reservation pricing problem for a two-echelon fashion supply chain in which the downstream manufacturer with private information on its operations cost (low or high type) reserves the capacity for a critical component from the upstream supplier before placing the final order. We consider the case when the demand forecast is partially updated. We find that a novel menu of reservation contracts containing the unit reservation fee with reservation quantity and final order could induce the manufacturer to reveal its operations cost information truthfully. We also show that the supplier should require less capacity reservation and charge a lower unit reservation fee if it has asymmetric information about the manufacturer's operations cost. Finally, we analyse the effects of forecast update, and our results indicate that: (i) the supplier benefits from forecast update because the optimal reservation pricing strategy is designed to reveal the true information and meanwhile induce a higher capacity reservation; and (ii) a greater amount of forecast update decreases the supply chain deficit and increases the supplier's agency cost.
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  • Channel coordination in supply chains with agents having mean-variance objectives RID B-1785-2008 RID E-7985-2011

    Choi, Tsan-Ming   Li, Duan   Yan, Houmin   Chiu, Chun-Hung  

    This paper investigates the issues of channel coordination in a supply chain when the individual supply chain decision makers take mean-variance (MV) objectives. We propose an MV formulation to capture the risk preference of each individual supply chain agent. Through the studies of a wholesale pricing policy, we find that the incorporation of risk concerns into the setting of supply chain coordinating policy is very important because it can substantially affect the achievability of channel coordination. It is also interesting to find that channel coordination depends on how big the net difference between the risk preferences of the supply chain coordinator and the retailer is. Thus, a slightly risk averse supply chain coordinator can successfully coordinate with a slightly risk prone retailer but not a very risk averse retailer. Numerical analyses are included and managerial insights are developed. (c) 2007 Elsevier Ltd. All rights reserved.
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  • A neuro-fuzzy inference system through integration of fuzzy logic and extreme learning machines RID B-1785-2008

    Sun, Zhan-Li   Au, Kin-Fan   Choi, Tsan-Ming  

    This paper investigates the feasibility of applying a relatively novel neural network technique, i.e., extreme learning machine (ELM), to realize a neuro-fuzzy Takagi-Sugeno-Kang (TSK) fuzzy inference system. The proposed method is an improved version of the regular neuro-fuzzy TSK fuzzy inference system. For the proposed method, first, the data that are processed ire grouped by the k-means clustering method. The membership A arbitrary input for each fuzzy rule is then derived through in ELM, followed by a normalization method. At the same time, he consequent part of the fuzzy rules is obtained by multiple ELMs. At last, the approximate prediction value is determined by a weight computation scheme. For the ELM-based TSK fuzzy inference system, two extensions are also proposed to improve its accuracy. The proposed methods can avoid the curse of dimensionality that is encountered in backpropagation and hybrid adaptive neuro-fuzzy inference system (ANFIS) methods. Moreover, the proposed methods have a competitive performance in training time and accuracy compared to three ANFIS methods.
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  • Pre-season stocking and pricing decisions for fashion retailers with multiple information updating RID B-1785-2008

    Choi, Tsan-Ming  

    Motivated by the industrial practice, we investigate in this paper the pre-season inventory and pricing decisions for fashion retailers. Before the selling season, a retailer can place orders for a seasonal fashion product from her supplier at two distinct stages via two different delivery modes. Market information from the sales of a pre-seasonal product is collected and used to update the demand forecast of the seasonal product at the succeeding stages by using Bayesian approach. We formulate a dynamic optimization problem and obtain the optimal stocking policy. After the ordered seasonal product has arrived and just before the start of the selling season, the retailer can determine the optimal selling price of the product with respect to the latest demand information, and the amount of product on-hand. We study the pricing policy under different objectives. Sensitivity analysis is carried out and the features of the policies are revealed. Managerial insights are generated. (c) 2006 Elsevier B.V. All rights reserved.
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  • Optimal green product’s pricing and level of sustainability in supply chains: effects of information and coordination

    Zhang, Ting   Choi, Tsan-Ming   Zhu, Xiaowei  

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  • Simplicity is beauty:pricing coordination in two-product supply chains with simplest contracts under voluntary compliance

    Shen, Bin   Xu, Xiaoyan   Choi, Tsan-Ming  

    Pricing is an important topic in supply chains. In this paper, we explore the coordination challenge with the use of simplest contracts for the case with two products. To be specific, we consider a single-manufacturer single-retailer make-to-order supply chain. In the base model, we consider the case when the product demands are independent and derive the optimal pricing decisions under a decentralised setting. Comparing with the centralised setting, we show that double marginalisation in the decentralised setting reduces the supply chain efficiency by 25%. We then find that the simpler contracts such as the three-parameter two-part tariff (3P-TT) contract and the three-parameter revenue sharing (3P-RS) contract can coordinate the two-product supply chain. We extend the analysis in two cases: (i) the case when the products are substitutable and (ii) the case when the retailer is risk averse, and show that both the 3P-TT and 3P-RS contracts can coordinate the respective supply chain. We also find that the degrees of product substitution and retailer's risk averse significantly influence the supply chain performance.
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