The Experts below are selected from a list of 216 Experts worldwide ranked by ideXlab platform
Hongshuai Han - One of the best experts on this subject based on the ideXlab platform.
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Implications of government subsidy on the vaccine product R&D when the buyer is risk averse.
Transportation research. Part E Logistics and transportation review, 2021Co-Authors: Lei Xie, Pengwen Hou, Hongshuai HanAbstract:Abstract This paper analyses the choice of subsidy offered to a vaccine supply chain with a risk-averse buyer. We find that for a higher innovation effort and level of social benefits, the per-unit production subsidy is better when there is a low innovation Cost Coefficient, a low level of risk aversion, or a high potential demand. Otherwise, under the opposite conditions, the R&D innovation effort subsidy should be selected. Furthermore, from an evolutionary game theoretical perspective, we also present the stability performance for the subsidies, and the results show that when the manufacturer’s innovation Cost Coefficient is relatively low, the more profitable per-unit production subsidy may be abandoned due to its performance instability.
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Capacity Sharing and Capacity Investment of Environment-Friendly Manufacturing: Strategy Selection and Performance Analysis.
International journal of environmental research and public health, 2020Co-Authors: Lei Xie, Hongshuai HanAbstract:Many small manufacturing factories suffer insufficient environment-friendly capacity after eliminating the outdated and environmental-harmful production capacity according to stringent environmental rules and regulations. This paper analyzes two strategies that the manufacturer with limited environment-friendly capacity may take to tackle this problem, i.e., investing in building environment-friendly capacities and collaborating with the manufacturer with sufficient environment-friendly capacity in capacity sharing. In a supply chain with two competing manufacturers, this paper builds game-theoretical models and investigates equilibrium solutions under three scenarios (no capacity investment or sharing, capacity investment, and capacity sharing). Then this research investigates the feasible regions of these two strategies and compares the performance of each manufacturer under each scenario. The findings show that both capacity investment and capacity sharing can effectively reduce the profit loss of the manufacturer with limited capacity, while only capacity sharing benefits both manufacturers. The feasibility of these two strategies depends on the initial capacity volume and the capacity investment Cost Coefficient of the manufacturer with limited capacity. Moreover, the preference of the manufacturer with limited capacity for each strategy depends on the capacity investment Cost Coefficient. When the capacity investment Cost Coefficient is relatively high, the win-win situation exists for supply chain members. Furthermore, with the use of chaos theory, the paper shows how to adjust the capacity investment in each period to keep the system stable.
Ming-lang Tseng - One of the best experts on this subject based on the ideXlab platform.
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Selecting a remanufacturing quality strategy based on consumer preferences
Journal of Cleaner Production, 2017Co-Authors: Li Cui, Ming-lang TsengAbstract:Abstract Firms are increasingly focusing on the remanufacturing process in terms of reducing Costs, generating profits and protecting the environment. As remanufacturing develops into an emerging industry in China, balancing quality and Cost becomes a critical challenge. Thus, selecting the proper quality strategy plays an important role in sustainable development while satisfying different customer preferences. Remanufacturers’ momentum and motivation could be enhanced if quality is pursued; however, deemphasizing quality may leave consumers unsatisfied. Therefore, exploring an optimal remanufacturing quality strategy that satisfies various consumer preferences is essential to guiding remanufacturers’ decisions. This study proposes an integrated model based on consumer preferences over price, quality and sustainability and then considers the demand, Cost and profit functions to determine a suitable remanufacturing quality strategy. The findings show that when firms have different consumer preferences, the quality and profits of remanufactured products are positively related when the Cost Coefficient is small (less than 0.28). When the Cost Coefficient is between 0.28 and 0.35, profits can increase at the onset; however, profits fall as the Coefficient nears 0.35. When the Cost Coefficient is large (greater than 0.35), profits can no longer be obtained through quality improvement. Hence, the selection of the optimal remanufacturing quality strategy depends on whether the Cost Coefficient is large or small.
Lei Xie - One of the best experts on this subject based on the ideXlab platform.
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Implications of government subsidy on the vaccine product R&D when the buyer is risk averse.
Transportation research. Part E Logistics and transportation review, 2021Co-Authors: Lei Xie, Pengwen Hou, Hongshuai HanAbstract:Abstract This paper analyses the choice of subsidy offered to a vaccine supply chain with a risk-averse buyer. We find that for a higher innovation effort and level of social benefits, the per-unit production subsidy is better when there is a low innovation Cost Coefficient, a low level of risk aversion, or a high potential demand. Otherwise, under the opposite conditions, the R&D innovation effort subsidy should be selected. Furthermore, from an evolutionary game theoretical perspective, we also present the stability performance for the subsidies, and the results show that when the manufacturer’s innovation Cost Coefficient is relatively low, the more profitable per-unit production subsidy may be abandoned due to its performance instability.
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Capacity Sharing and Capacity Investment of Environment-Friendly Manufacturing: Strategy Selection and Performance Analysis.
International journal of environmental research and public health, 2020Co-Authors: Lei Xie, Hongshuai HanAbstract:Many small manufacturing factories suffer insufficient environment-friendly capacity after eliminating the outdated and environmental-harmful production capacity according to stringent environmental rules and regulations. This paper analyzes two strategies that the manufacturer with limited environment-friendly capacity may take to tackle this problem, i.e., investing in building environment-friendly capacities and collaborating with the manufacturer with sufficient environment-friendly capacity in capacity sharing. In a supply chain with two competing manufacturers, this paper builds game-theoretical models and investigates equilibrium solutions under three scenarios (no capacity investment or sharing, capacity investment, and capacity sharing). Then this research investigates the feasible regions of these two strategies and compares the performance of each manufacturer under each scenario. The findings show that both capacity investment and capacity sharing can effectively reduce the profit loss of the manufacturer with limited capacity, while only capacity sharing benefits both manufacturers. The feasibility of these two strategies depends on the initial capacity volume and the capacity investment Cost Coefficient of the manufacturer with limited capacity. Moreover, the preference of the manufacturer with limited capacity for each strategy depends on the capacity investment Cost Coefficient. When the capacity investment Cost Coefficient is relatively high, the win-win situation exists for supply chain members. Furthermore, with the use of chaos theory, the paper shows how to adjust the capacity investment in each period to keep the system stable.
Ue-pyng Wen - One of the best experts on this subject based on the ideXlab platform.
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Type II sensitivity analysis of Cost Coefficients in the degenerate transportation problem
European Journal of Operational Research, 2013Co-Authors: Chi-jen Lin, Ue-pyng WenAbstract:Abstract This paper focuses on sensitivity analysis of the degenerate transportation problem (DTP) when perturbation occurs on one Cost Coefficient. The conventional Type I sensitivity analysis of the transportation problem (TP) determines the perturbation ranges for the invariant optimal basis. Due to different degenerate optimal basic solutions yielding different Type I ranges, the Type I range is misleading for the DTP. Type II sensitivity analysis, which determines the perturbation ranges for the invariant shipping pattern, is more practical for the DTP. However, it is too tedious to obtain Type II ranges by enumerating all optimal basic solutions and all primal optimal basic solutions while getting the union of each corresponding Type I ranges. Here, we propose two labeling algorithms to determine the Type II ranges of the Cost Coefficient. Besides, three lemmas are provided for obtaining the upper bound or lower bound of the Type II ranges of the Cost Coefficient directly under specific conditions of the DTP. A numerical example is given to demonstrate the procedure of the proposed labeling algorithms and computational results have been provided.
Michael G.h. Bell - One of the best experts on this subject based on the ideXlab platform.
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Simultaneous Estimation of the Origin-Destination Matrices and Travel-Cost Coefficient for Congested Networks in a Stochastic User Equilibrium
Transportation Science, 2001Co-Authors: Hai Yang, Qiang Meng, Michael G.h. BellAbstract:This article proposes an optimization model for simultaneous estimation of an origin-destination (O-D) matrix and a travel-Cost Coefficient for congested networks in a logit-based stochastic user equilibrium (SUE). The model is formulated in the form of a standard differentiable, nonlinear optimization problem with analytical stochastic user equilibrium constraints. Explicit expressions of the derivatives of the stochastic user equilibrium constraints with respect to origin-destination demand, link flow, and travel-Cost Coefficient are derived and computed efficiently through a stochastic network-loading approach. A successive quadratic-programming algorithm using the derivative information is applied to solve the simultaneous estimation model. This algorithm converges to a Karusch-Kuhn-Tucker point of the problem under certain conditions. The proposed model and algorithm are illustrated with a numerical example.
