This paper presents the game of production technical standards between downstream and upstream suppliers on a manufacturing supply chain network when the two parties have different partnership densities, namely, the n...This paper presents the game of production technical standards between downstream and upstream suppliers on a manufacturing supply chain network when the two parties have different partnership densities, namely, the numbers of replaceable and mature manufacturing partners. We firstly constructed a manufacturing chain network and analyzed its three relationship structures among suppliers with the presence of different relationship densities, and found that all the three relationships brought about the game of production technical standards between partnership-rich and partnership-scanty suppliers. Then we built a two-party payoff matrix, and analyzed the two-party game and evolutionary stable strategy, based on replication dynamic equation and asymmetric evolutionary game theory. The evolutionary stable strategies of two parties under varying payoff parameters were validated through numerical simulation. Finally, we proposed some suggestions for both those manufacturers with more partners and fewer partners, respectively.展开更多
In this paper, a manufacturing supply chain system composed by a single-product machine, a buffer and a stochastic demand is considered. A stochastic fluid model is adopted to describe the system and to take into acco...In this paper, a manufacturing supply chain system composed by a single-product machine, a buffer and a stochastic demand is considered. A stochastic fluid model is adopted to describe the system and to take into account stochastic delivery times. The objective of this paper is to evaluate the optimal buffer level used in hedging point policy taken into account planned delivery times, machine failures and random demands. This optimal buffer allows minimizing the sum of inventory, transportation, lost sales and late delivery costs. Infinitesimal perturbation analysis method is used for optimizing the proposed system. Using the stochastic fluid model, the trajectories of buffer level are studied and the infinitesimal perturbation analysis estimators are evaluated. These estimators are shown to be unbiased and then they are implanted in an optimization algorithm, which determines the optimal buffer level in the presence of planned delivery time. Also in this work, we discuss the advantage of the use of the infinitesimal perturbation analysis method comparing to classical simulation methods.展开更多
In the current“dual circulation”development paradigm,science and technology finance provides strong support for breaking the low-end lock-in of China's manufacturing sector within the global value chain.Utilizin...In the current“dual circulation”development paradigm,science and technology finance provides strong support for breaking the low-end lock-in of China's manufacturing sector within the global value chain.Utilizing provincial panel data from China covering the period from 2011 to 2021,this study empirically examines the impact of science and technology finance on the upgrading of the manufacturing value chain from the perspective of technology transfer.The findings indicate that science and technology finance can promote the upgrading of the manufacturing value chain,with this promoting effect exhibiting regional and source heterogeneity.For one thing,the impact of science and technology finance on value chain upgrading is notably significant in Chinese eastern regions.For another,science and technology finance inputs from venture capital institutions,capital markets,and enterprises significantly drive the upgrading of the manufacturing value chain.In terms of the impact mechanism,technology transfer plays a partial mediating role in the process by which science and technology finance promotes the upgrading of the manufacturing value chain;however,the mediating effect of technology transfer varies based on the source of science and technology finance input.Furthermore,the promoting effect of science and technology finance on the upgrading of the manufacturing value chain also displays nonlinear characteristics,becoming more pronounced when the level of technology transfer surpasses a certain threshold.展开更多
It is costly and time consuming to use machining processes, such as grinding, polishing and lapping, to produce optical glass lenses with complex features. Precision glass molding (PGM) has thus been developed to re...It is costly and time consuming to use machining processes, such as grinding, polishing and lapping, to produce optical glass lenses with complex features. Precision glass molding (PGM) has thus been developed to realize an efficient manufacture of such optical components in a single step. However, PGM faces various technical challenges. For example, a PGM process must be carded out within the super-cooled region of optical glass above its glass transition temperature, in which the material has an unstable non-equilibrium structure. Within a narrow window of allowable tempera- ture variation, the glass viscosity can change from 10s to 10t2 Pa-s due to the kinetic fragility of the super-cooled liquid. This makes a PGM process sensitive to its molding temperature. In addition, because of the structural relaxa- tion in this temperature window, the atomic structure that governs the material properties is strongly dependent on time and thermal history. Such complexity often leads to residual stresses and shape distortion in a lens molded, causing unexpected changes in density and refractive index. This review will discuss some of the central issues in PGM processes and provide a method based on a manufacturing chain consideration from mold material selection, property and deformation characterization of optical glass to process optimization. The realization of such optimization is a necessary step for the Industry 4.0 of PGM.展开更多
基金Supported by the Science and Technology Development Strategy Research Project of Tianjin(13ZLZLZF08900)
文摘This paper presents the game of production technical standards between downstream and upstream suppliers on a manufacturing supply chain network when the two parties have different partnership densities, namely, the numbers of replaceable and mature manufacturing partners. We firstly constructed a manufacturing chain network and analyzed its three relationship structures among suppliers with the presence of different relationship densities, and found that all the three relationships brought about the game of production technical standards between partnership-rich and partnership-scanty suppliers. Then we built a two-party payoff matrix, and analyzed the two-party game and evolutionary stable strategy, based on replication dynamic equation and asymmetric evolutionary game theory. The evolutionary stable strategies of two parties under varying payoff parameters were validated through numerical simulation. Finally, we proposed some suggestions for both those manufacturers with more partners and fewer partners, respectively.
文摘In this paper, a manufacturing supply chain system composed by a single-product machine, a buffer and a stochastic demand is considered. A stochastic fluid model is adopted to describe the system and to take into account stochastic delivery times. The objective of this paper is to evaluate the optimal buffer level used in hedging point policy taken into account planned delivery times, machine failures and random demands. This optimal buffer allows minimizing the sum of inventory, transportation, lost sales and late delivery costs. Infinitesimal perturbation analysis method is used for optimizing the proposed system. Using the stochastic fluid model, the trajectories of buffer level are studied and the infinitesimal perturbation analysis estimators are evaluated. These estimators are shown to be unbiased and then they are implanted in an optimization algorithm, which determines the optimal buffer level in the presence of planned delivery time. Also in this work, we discuss the advantage of the use of the infinitesimal perturbation analysis method comparing to classical simulation methods.
基金supported by a major project of the National Social Science Fund of China(No.17AJY002)a science and technology innovation project of Capital University of Economics and Business(No.2023KJCX087).
文摘In the current“dual circulation”development paradigm,science and technology finance provides strong support for breaking the low-end lock-in of China's manufacturing sector within the global value chain.Utilizing provincial panel data from China covering the period from 2011 to 2021,this study empirically examines the impact of science and technology finance on the upgrading of the manufacturing value chain from the perspective of technology transfer.The findings indicate that science and technology finance can promote the upgrading of the manufacturing value chain,with this promoting effect exhibiting regional and source heterogeneity.For one thing,the impact of science and technology finance on value chain upgrading is notably significant in Chinese eastern regions.For another,science and technology finance inputs from venture capital institutions,capital markets,and enterprises significantly drive the upgrading of the manufacturing value chain.In terms of the impact mechanism,technology transfer plays a partial mediating role in the process by which science and technology finance promotes the upgrading of the manufacturing value chain;however,the mediating effect of technology transfer varies based on the source of science and technology finance input.Furthermore,the promoting effect of science and technology finance on the upgrading of the manufacturing value chain also displays nonlinear characteristics,becoming more pronounced when the level of technology transfer surpasses a certain threshold.
文摘It is costly and time consuming to use machining processes, such as grinding, polishing and lapping, to produce optical glass lenses with complex features. Precision glass molding (PGM) has thus been developed to realize an efficient manufacture of such optical components in a single step. However, PGM faces various technical challenges. For example, a PGM process must be carded out within the super-cooled region of optical glass above its glass transition temperature, in which the material has an unstable non-equilibrium structure. Within a narrow window of allowable tempera- ture variation, the glass viscosity can change from 10s to 10t2 Pa-s due to the kinetic fragility of the super-cooled liquid. This makes a PGM process sensitive to its molding temperature. In addition, because of the structural relaxa- tion in this temperature window, the atomic structure that governs the material properties is strongly dependent on time and thermal history. Such complexity often leads to residual stresses and shape distortion in a lens molded, causing unexpected changes in density and refractive index. This review will discuss some of the central issues in PGM processes and provide a method based on a manufacturing chain consideration from mold material selection, property and deformation characterization of optical glass to process optimization. The realization of such optimization is a necessary step for the Industry 4.0 of PGM.