Market demand is becoming increasingly time-sensitive in competitive environments.Hence,supply disruptions will have a more serious impact on the profits of supply chains.This study applies a Stackelberg competition b...Market demand is becoming increasingly time-sensitive in competitive environments.Hence,supply disruptions will have a more serious impact on the profits of supply chains.This study applies a Stackelberg competition between a single supplier and a single manufacturer in a time-sensitive supply chain in a cloud manufacturing environment.We aim to address the supplier’s production capacity recovery issues and the manufacturer’s incentive decision issues after supply disruption.We find that the supplier is in a weak position when the information is symmetrical.The manufacturer can encourage the supplier to shorten the recovery time by raising the unit wholesale price.When the supplier’s unit production cost remains unchanged but the unit wholesale price increases,the profit of the supplier first increases and then decreases.In addition,under the centralized decision-making setting,the optimal recovery time of the supplier is shorter and the optimal unit market price of the product is lower than that under decentralized decision-making.We further find that resource sharing can shorten the optimal recovery time,but it does not necessarily play an incentivizing role.展开更多
Clustering plays an important role in management and decision-making processes.This paper first discusses three types of cluster analysis methods-centroid-based,connectivity-based,and density-based.Then the challenges...Clustering plays an important role in management and decision-making processes.This paper first discusses three types of cluster analysis methods-centroid-based,connectivity-based,and density-based.Then the challenges to traditional clustering in new business environments are highlighted,with algorithmic extensions and innovative efforts for coping with data that is dynamic,large-scale,representative,non-convex,and consensus in nature.In addition,three application cases are illustrated,where clustering is incorporated into the overall solution in the contexts of management support,business of sharing economy,and healthcare decision assistance.展开更多
This paper intends to understand the form of implementations of Enterprise Information Systems （EISs）. EISs are usually provided as packaged software products. Due to the diversities of implementations, EISs are oft...This paper intends to understand the form of implementations of Enterprise Information Systems （EISs）. EISs are usually provided as packaged software products. Due to the diversities of implementations, EISs are often characterized by their system architectures. A conceptual framework is proposed to delineate the diversity and dynamics of EIS implementations. This framework is constituted of three components, EIS strategy, variety, and process-level performance （SVP）. In particular, the variety of implementations is defined by two constructs, application scope and application depth. A Partial Least Squares structural equation modeling approach is applied to test the hypotheses according to the survey data from 223 project reports of EIS implementations in China. The results show that the EIS strategy and variety can both affect the performance of the implemented EISs. Specifically, application depth has an important mediating effect on the relationship between EIS strategy and performance. EIS strategy and application depth are breakthrough points to improve the performance of the implemented EISs. These findings suggest that the variety plays a central and effective role in the analysis of EIS implementations. This SVP framework highlights the interconnections among its components and captures the form of EIS implementations.展开更多
Configuration management(CM)is an effective method for data modeling and change management in product development,but the study of how it can be adapted for complex product maintenance,repair and overhaul(MRO)has thus...Configuration management(CM)is an effective method for data modeling and change management in product development,but the study of how it can be adapted for complex product maintenance,repair and overhaul(MRO)has thus far been superficial.Research propositions are put forward on the basis of a literature review and verified by a case of a high-speed train MRO company.The findings show that CM can be used in MRO data management with adjustments in its functions.First,MRO-CM planning considers both multistage service and single-stage service to keep data consistent and continuous.Second,MRO data integration with the design/production phase should be considered during configuration identification.Third,baselines and change rules are developed for change control.Finally,status accounting and auditing can be repeatedly used in MRO data management.A systematic MRO-CM framework is generated to assist MRO practitioners in understanding the relationships among different MRO-CM functions.This paper contributes to expanding the theory of CM in MRO for complex products and provides an effective method for managing MRO data from systematic engineering insights.展开更多
基金supported by the National Social Science Fund of China under Grant number 17BGL084
文摘Market demand is becoming increasingly time-sensitive in competitive environments.Hence,supply disruptions will have a more serious impact on the profits of supply chains.This study applies a Stackelberg competition between a single supplier and a single manufacturer in a time-sensitive supply chain in a cloud manufacturing environment.We aim to address the supplier’s production capacity recovery issues and the manufacturer’s incentive decision issues after supply disruption.We find that the supplier is in a weak position when the information is symmetrical.The manufacturer can encourage the supplier to shorten the recovery time by raising the unit wholesale price.When the supplier’s unit production cost remains unchanged but the unit wholesale price increases,the profit of the supplier first increases and then decreases.In addition,under the centralized decision-making setting,the optimal recovery time of the supplier is shorter and the optimal unit market price of the product is lower than that under decentralized decision-making.We further find that resource sharing can shorten the optimal recovery time,but it does not necessarily play an incentivizing role.
基金supported by the Natural Science Foundation of China(No.71490724/No.71771034)China Postdoctoral Science Foundation(No.2017M620054).
文摘Clustering plays an important role in management and decision-making processes.This paper first discusses three types of cluster analysis methods-centroid-based,connectivity-based,and density-based.Then the challenges to traditional clustering in new business environments are highlighted,with algorithmic extensions and innovative efforts for coping with data that is dynamic,large-scale,representative,non-convex,and consensus in nature.In addition,three application cases are illustrated,where clustering is incorporated into the overall solution in the contexts of management support,business of sharing economy,and healthcare decision assistance.
文摘This paper intends to understand the form of implementations of Enterprise Information Systems （EISs）. EISs are usually provided as packaged software products. Due to the diversities of implementations, EISs are often characterized by their system architectures. A conceptual framework is proposed to delineate the diversity and dynamics of EIS implementations. This framework is constituted of three components, EIS strategy, variety, and process-level performance （SVP）. In particular, the variety of implementations is defined by two constructs, application scope and application depth. A Partial Least Squares structural equation modeling approach is applied to test the hypotheses according to the survey data from 223 project reports of EIS implementations in China. The results show that the EIS strategy and variety can both affect the performance of the implemented EISs. Specifically, application depth has an important mediating effect on the relationship between EIS strategy and performance. EIS strategy and application depth are breakthrough points to improve the performance of the implemented EISs. These findings suggest that the variety plays a central and effective role in the analysis of EIS implementations. This SVP framework highlights the interconnections among its components and captures the form of EIS implementations.
基金provided by the China Scholarship Council(CSC)under Grant No.201806060035the Open Fund of Key Laboratory of Anhui Higher Education Institutes under Grant No.CS2021-03+1 种基金the Key Project of University Humanities and Social Science Research in Anhui Province under Grant No.SK2020A0173the Research Fund for Young Teachers of Anhui University of Technology under Grant No.QS202014 are acknowledged.
文摘Configuration management(CM)is an effective method for data modeling and change management in product development,but the study of how it can be adapted for complex product maintenance,repair and overhaul(MRO)has thus far been superficial.Research propositions are put forward on the basis of a literature review and verified by a case of a high-speed train MRO company.The findings show that CM can be used in MRO data management with adjustments in its functions.First,MRO-CM planning considers both multistage service and single-stage service to keep data consistent and continuous.Second,MRO data integration with the design/production phase should be considered during configuration identification.Third,baselines and change rules are developed for change control.Finally,status accounting and auditing can be repeatedly used in MRO data management.A systematic MRO-CM framework is generated to assist MRO practitioners in understanding the relationships among different MRO-CM functions.This paper contributes to expanding the theory of CM in MRO for complex products and provides an effective method for managing MRO data from systematic engineering insights.
