Cross-application

    Cross-application

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    Internet Resources and Organizational Knowledge Creation: Role of Environmental Dynamism
    Cai-Yun Zhuang, Guo-Hong Chen, Li-Li Wang
    Journal of the Operations Research Society of China    2019, 7 (2): 337-354.   DOI: 10.1007/s40305-018-0220-8
    Abstract192)      PDF       Save
    The development of the Internet has provided firms with the ideal opportunity to make up for the knowledge gap for achieving internal knowledge generation (IKG) and external knowledge acquisition (EKA). It is worth exploring how Internet resources can be used to satisfy organizational knowledge needs efficiently to adapt to dynamic environments. Thus, according to the resource-based view, knowledge-based view, and contingency theory, we study the impact of different types of Internet resources on the two modes of knowledge creation (IKG and EKA), as well as the moderating effect of environmental dynamism (ED) on this relationship. The hypothesized relationships were tested using the hierarchical regression analysis method with survey data collected from 399 Chinese firms.We found that Internet relationship resource and Internet human resource can simultaneously facilitate IKG and EKA, while Internet infrastructure resource positively affects IKG but has no significant impact on EKA. Furthermore, ED positively moderates the relationship between Internet relationship resource and IKG and EKA, but negativelymoderates the relationship between Internet human resource and EKA.
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    Optimizing Locations and Scales of Emergency Warehouses Based on Damage Scenarios
    Bo-Chen Wang, Miao Li, Yi Hu, Lin Huang, Shu-Min Lin
    Journal of the Operations Research Society of China    2020, 8 (3): 437-456.   DOI: 10.1007/s40305-018-0215-5
    Abstract344)      PDF       Save
    Choosing the locations and the capacities of emergency warehouses for the storage of relief materials is critical to the quality of services provided in the wake of a largescale emergency such as an earthquake. This paper proposes a stochastic programming model to determine disaster sites’ locations as well as their scales by considering damaged scenarios of the facility and by introducing seismic resilience to describe the ability of disaster sites to resist earthquakes. The objective of the model is to minimize fixed costs of building emergency warehouses, expected total transportation costs under uncertain demands of disaster sites and penalty costs for lack of relief materials. A local branching (LB) based solution method and a particle swarm optimization (PSO) based solution method are proposed for the problem. Extensive numerical experiments are conducted to assess the efficiency of the heuristic according to the real data of Yunnan province in China.
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    Disruption Recovery at Airports: Ground Holding, Curfew Restrictions and an Approximation Algorithm
    Prabhu Manyem
    Journal of the Operations Research Society of China    2021, 9 (4): 819-852.   DOI: 10.1007/s40305-020-00338-1
    Abstract2122)      PDF       Save
    We study disruptions at a major airport. Disruptions could be caused by bad weather, for example. Our study is from the perspective of the airport, the air services provider (such as air traffic control) and the travelling public, rather than from the perspective of a single airline. Disruptions cause flights to be subjected to ground holding, or they cause the flights to violate airport curfew hours. We consider curfew and arrival capacities applicable at a single airport. After proving that the problem is NP-hard, we present a polynomial time approximation algorithm based on the primal–dual schema and show that if the problem is feasible, the algorithm finds a feasible solution that is both within a certain additive bound and within a certain multiplicative factor of the optimal solution. The algorithm returns a solution mix of which flights suffer no delay, which ones to be ground-held and which ones may violate the curfew (and hence pay a curfew penalty). Computational results are positive; our heuristic outperforms the integer programming solver by a wide margin.
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    Optimized Filling of a Given Cuboid with Spherical Powders for Additive Manufacturing
    Zoya Duriagina, Igor Lemishka, Igor Litvinchev, Jose Antonio Marmolejo, Alexander Pankratov, Tatiana Romanova, Georgy Yaskov
    Journal of the Operations Research Society of China    2021, 9 (4): 853-868.   DOI: 10.1007/s40305-020-00314-9
    Abstract2093)      PDF       Save
    In additive manufacturing (also known as 3D printing), a layer-by-layer buildup process is used for manufacturing parts. Modern laser 3D printers can work with various materials including metal powders. In particular, mixing various-sized spherical powders of titanium alloys is considered most promising for the aerospace industry. To achieve desired mechanical properties of the final product, it is necessary to maintain a certain proportional ratio between different powder fractions. In this paper, a modeling approach for filling up a rectangular 3D volume by unequal spheres in a layer-by-layer manner is proposed. A relative number of spheres of a given radius (relative frequency) are known and have to be fulfilled in the final packing. A fast heuristic has been developed to solve this special packing problem. Numerical results are compared with experimental findings for titanium alloy spherical powders. The relative frequencies obtained by using the imposed algorithm are very close to those obtained by the experiment. This provides an opportunity for using a cheap numerical modeling instead of expensive experimental study.
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    A General Jury Theorem on Group Decision Making
    Yu-Da Hu
    Journal of the Operations Research Society of China    2021, 9 (4): 869-881.   DOI: 10.1007/s40305-020-00330-9
    Abstract2072)      PDF       Save
    This paper established a general jury theorem on group decision making where the probabilities of the individuals in making correct choice between two alternatives can be different. And we proved that the higher the probability of any decision maker in the group correctly choosing between two alternatives, the higher the probability of the group correctly choosing the same two alternatives. The general jury theorem also indicates that given two groups of individuals with the same average probability of making the correct choice, the one with a more varied or diverse distribution of probabilities will have a higher probability of making the correct choice. In particular, we proved that as the number of decision makers in the group increases to infinity, this probability tends to the limit 1. The general jury theorem presented in this paper substantially generalizes the well-known Condorcet jury theorem in the group decision making theory, which has not been generalized for 200 years until now.
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