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Now showing items 33 - 43 of 43

  • Information sharing of value-adding retailer in a mixed channel hi-tech supply chain

    Mukhopadhyay, Samar K.   Yao, Dong-Qing   Yue, Xiaohang  

    The mixed channel model is becoming increasingly popular in the hi-tech industry where a firm, in addition to selling through the traditional supply chain of wholesaler and retailer, opens a direct channel to the customer through Internet sales. While the dual channel has its advantages, it gives rise to channel conflict. One way of alleviating the possibility of channel conflict is proposed in this paper where the retailer is allowed to add value to the product at a cost. A per unit value-adding cost is considered and any fixed upfront cost is not included. We model this mixed channel where the manufacturer, who is assumed to have more power than the retailer, makes decision on the price of the direct product and the wholesale price it charges the retailer. The retailer makes decision about the amount of the value added and the price of the augmented product. We also take into account the fact that the manufacturer may have only incomplete information about the retailer's cost of adding value. We present this model as a game between the two parties where the manufacturer acts as the leader. We obtain managerial insights into the dual-channel supply chain based on the analytical solutions. We compare the cases of complete and incomplete information and quantify the value of information to the manufacturer. In addition, we find that the retailer would be willing to share information with the manufacturer if her cost of adding value is lower than a threshold value. We report results of numerically obtained sensitivity analysis. (C) 2007 Elsevier Inc. All rights reserved.
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  • Dynamic Pricing and Supply Coordination with Reimbursement Contract under Random Yield and Demand

    Li, Guo   Ran, Lun   Yue, Xiaohang   Wang, Zhaohua  

    This paper investigates the dynamic pricing and supply chain coordination in a decentralized system that consists of one supplier and one manufacturer, in which both the market demand and production yield are stochastic. We show that the centralized expected profit is jointly concave in the production quantity and order quantity when the price is ex-ante selected. We also derive the equilibrium strategies in the decentralized system and prove that the entire profit of supply chain is inevitably lower than that under centralized system. Based on this, we propose a reimbursement contract to coordinate the decentralized supply chain so as to achieve the maximized profit. It is worth mentioning that, under reimbursement contract, the equilibrium production and order quantities are irrelevant to the manufacturer's risk sharing coefficient but are only determined by the supplier's risk sharing coefficient.
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  • The impacts of the full returns policy on a supply chain with information asymmetry

    Yue, Xiaohang   Raghunathan, Srinivasan  

    In contrast to the existing return policies literature assuming that information is symmetrical between the manufacturer and the retailer, we study the full returns policy's impact on supply chains with information asymmetry. We first study the case that the base level of the demand follows a discrete distribution with two states. We find that the retailer benefits from the full returns policy in all circumstances, while the manufacturer and the supply chain are better off under some conditions. We then consider the situation in which the base level of the demand is a type of AR(1) process. (c) 2006 Elsevier B.V. All rights reserved.
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  • Role of forecast effort on supply chain profitability under various information sharing scenarios

    Zhu, Xiaowei   Mukhopadhyay, Samar K.   Yue, Xiaohang  

    In this paper, we consider a manufacturer who sells a product to a retailer in a single selling season. Each party obtains a forecast of the market demand independent of each other. We study three different forecast scenarios: Non-Information Sharing, Information Sharing, and Retailer Forecasting cases. In the first scenario, both parties make their forecasts, but do not share the information with the other firm. In the second scenario, they share the information with each other, while in the last scenario, only the retailer makes the forecast, and shares it with the manufacturer. Noting that the forecast accuracy comes at a cost, we derive the optimal price and forecast accuracy level for each of the three cases. We then compare the optimal policies of the three cases and derive conditions under which the two parties should share information with each other. Results of extensive numerical experimentation are also presented. (C) 2010 Elsevier B.V. All rights reserved.
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  • Novel Ant Colony Optimization Methods for Simplifying Solution Construction in Vehicle Routing Problems

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

    As a novel evolutionary searching technique, ant colony optimization (ACO) has gained wide research attention and can be used as a tool for optimizing an array of mathematical functions. In transportation systems, when ACO is applied to solve the vehicle routing problem (VRP), the path of each ant is only "part" of a feasible solution. In other words, multiple ants' paths may constitute one feasible solution. Previous works mainly focus on the algorithm itself, such as revising the pheromone updating scheme and combining ACO with other optimization methods. However, this body of literature ignores the important procedure of constructing feasible solutions with those "parts". To overcome this problem, this paper presents a novel ACO algorithm (called AMR) to solve the VRP. The proposed algorithm allows ants to go in and out the depots more than once until they have visited all customers, which simplifies the procedure of constructing feasible solutions. To further enhance AMR, we propose two extensions (AMR-SA and AMR-SA-II) by integrating AMR with other saving algorithms. The computational results for standard benchmark problems are reported and compared with those from other ACO methods. Experimental results indicate that the proposed algorithms outperform the existing ACO algorithms.
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  • Optimal Scheduling,Coordination,and the Value of RFID Technology in Garment Manufacturing Supply Chains

    Choi, Tsan-Ming   Yeung, Wing-Kwan   Cheng, T. C. Edwin   Yue, Xiaohang  

    Motivated by industrial practices, we explore in this paper the optimal supply chain scheduling problem in garment manufacturing with the consideration of coordination and radio frequency identification (RFID) technology. We consider the case in which a garment manufacturer receives orders from multiple retailers, and needs to determine the optimal order set to take and the corresponding optimal production schedule. We model the problem as a flowshop scheduling problem, uncover its structural properties, and prove that the problem is NP-hard in the ordinary sense only. We contribute by first developing a practical and effective pseudopolynomial dynamic programming algorithm to find the globally optimal solution in reasonable time; second, proposing an implementable method to achieve win-win supply chain coordination; and third, showing the good performance of RFID technology deployment. We further determine the critical threshold value of the order number with which the total manufacturing capacity must be increased if companies in the supply chain wish to improve their profits.
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  • What Affects Farmers' Ecocompensation Expectations? An Empirical Study of Returning Farmland to Forest in China

    Zhang, Baojian   Li, Pengli   Xu, Yan   Yue, Xiaohang  

    Ecocompensation projects (EN) have two primary objectives: environmental protection and the livelihood maintenance of farmers. Farmers' ecocompensation expectations (FEEs) are a key factor that affects whether the design of ecological policy is targeted at practical problems. This article divides FEEs into three dependent variables and uses logistic regression and multiple regression models to analyze the influencing factors of FEEs. The results of a questionnaire survey based on 259 farmers in the area of Returning Farmland to Forest Project, with tropical and subtropical regions of China included, show that, first, farmers' willingness to participate in EPs is strong. Several indicators, such as policy cognition level, returned farmland area, and participation in other EPs, have been demonstrated to significantly affect farmers' willingness to participate. Second, the result of the contingent valuation method shows that farmers' expectations of compensation income are higher than the current standard. Farmers' returned farmland area, participation in other El's, and degree of satisfaction with the policy effect are primary influencing factors. Third, farmers' expectations of compensation mode, such as employment opportunities, technical guidance, and ecological migration, are greatly improving. The choice of compensation mode is mainly affected by policy cognition level, current compensation mode for returning farmland, and degree of satisfaction with the policy effect. This study can provide a new perspective for the policy adjustment of eco-environmental protection and farmers' livelihood choices in the tropical and subtropical regions of China.
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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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  • Environmental Risk and Policy Choices in an Energy Intensive Region of China-An Empirical Study in Shanxi Province

    Peng, Haoyue   Liu, Shaohua   Xing, Yao   Yue, Xiaohang  

    Given that there has been ecological degradation for a long time in Shanxi Province, China. This research addresses this situation by analyzing the energy structure and environmental risk in the past and in the future. Consequently, this study uses two indicator systems, ecosystem interaction system and environmental risk representation, to illustrate the environmental risk in an energy intensive region of China. And we build a BP-SVM model applying a back-propagation (BP) neural network and support vector machine (SVM) arithmetic to predict the future ecology-economy-society system interactions in Shanxi Province. At last, we classify the risk rank by using environmental risk representation indicators. The main conclusions from this research are as follows: Firstly, two indicator systems have advantages in describing the ecological-economy-society interaction especially the human society & x2019;s impact on the ecosystem over a single indicator system. Secondly, by the BP-SVM model, there is a relatively high ecological risk rank in next few years in Shanxi Province, although it fluctuates occasionally. Finally, this study not only offers recommendations for the government to develop policies to transform from a coal-energy based system to a clean, safe, and efficient modern energy system, but also points out the implications for government administrations in energy intensive areas of developing countries to guide the economic transformation.
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  • How Does Environmental Regulation Affect Industrial Transformation? A Study Based on the Methodology of Policy Simulation

    Liu, Wei   Tong, Jian   Yue, Xiaohang  

    The difference of factor input structure determines different response to environmental regulation. This paper constructs a theoretical model including environmental regulation, factor input structure, and industrial transformation and conducts a policy simulation based on the difference of influencing mechanism of environmental regulation considering industrial heterogeneity. The findings show that the impact of environmental regulation on industrial transformation presents comparison of distortion effect of resource allocation and technology effect. Environmental regulation will promote industrial transformation when technology effect of environmental regulation is stronger than distortion effect of resource allocation. Particularly, command-control environmental regulation has a significant incentive effect and spillover effect of technological innovation on cleaning industries, but these effects do not exist in pollution-intensive industries. Command-control environmental regulation promotes industrial transformation. The result of simulation showed that environmental regulation of market incentives is similar to that of command-control.
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  • Effects of carbon tariffs trading policy on duopoly market entry decisions and price competition:Insights from textile firms of developing countries

    Wang, Mingzheng   Liu, Junling   Chan, Hau-Ling   Choi, Tsan-Ming   Yue, Xiaohang  

    Some developed countries are considering to implement a controversial climate policy called the carbon tariffs policy on the developing-country firms which produce in their own countries and transport goods, such as textiles, to the developed-country markets. This policy has significant impacts on international trade and business. To examine this policy, we consider the scenario in which a developing-country firm and a developed-country firm both manufacture the same type of textile products (which are differentiated but partially substituted). Thus, the cost differences between these two firms establish a price competition model. This model is solved through a two-stage game, where each firm chooses its emissions reduction technology in the first stage and decides its price in the second stage. We explore the effects of carbon tariffs on developing-country firms and offer coping strategies for them. Furthermore, the effects of carbon tariffs on total carbon emissions and global social welfare are also analyzed. We conclude that: (i) carbon tariffs greatly threaten the survival of developing-country firms in the developed-country market; (ii) both total carbon emissions and global social welfare are reduced in the presence of carbon tariffs; (iii) the textile firms of developing countries should make efforts to (1) choose the appropriate technology for emissions reduction, (2) reduce their cost of emissions reduction and (3) reduce the product differences with those developed-country firms. (C) 2015 Elsevier B.V. All rights reserved.
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