Minmin Qiu

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IBM General Business Simulation Environment (GBSE) is a supply chain simulation tool developed by IBM China Research Lab. It can capture supply chain dynamics with finest level of granularity and provides great insights to a supply chain's real operations. GBSE is designed for tactical level decision making; it is proper for supply chain what-if analysis(More)
The IBM Supply-chain Network Optimization Workbench (SNOW) is a software tool that can help a company make strategic business decisions about the design and operation of its supply chain network. The tool supports supply chain analysis with integrated network optimization and simulation capability. Mathematical programming models are used to first help(More)
Supply chain transformation is an emerging service area in the market which is offered to help companies in maximizing the performance of their supply chain operations while reducing costs. An end-to-end supply chain transformation includes the improvement from strategic and tactical level, operational level, execution level and implementation level.(More)
Process mining aims at distilling useful knowledge from the execution logs of process models. It has become a vivid research area in recent years. In this paper, a novel approach for process mining based on two event types, i.e., START and COMPLETE, is proposed. Information about the start and completion of tasks can be used to explicitly detect(More)
As global warming turns to be a very serious global problem, most worlds' major carbon emitting countries have enacted climate-change laws to tackle carbon emissions. Enterprises strike a balance between profit objective and emission reduction obligations. As capture technologies of carbon dioxide are getting economically feasible and operable in mature(More)
This paper considers a continuous capacitated facility location problem without a priori knowledge of the desired number of facilities. The demand locations and volume are known to the decision maker. A new hybrid evolutionary algorithm combining variable-length GA (Genetic Algorithm) and PSO (Particle Swarm Optimization) together is proposed to solve the(More)
In this paper we identify several typical business service modes in a general distribution system composed of a single distributor and multiple retailers. For different service models, the business process can be different and each member of the distribution system may observe different level of information. Each member makes decisions to minimize its(More)
This paper deals with an inventory system with limited resource for a single item or multiple items under continuous review (r, Q) policies. For the single-item system with a stochastic demand, a constant lead time, and limited resource, it is shown that an existing algorithm can be applied for finding an optimal (r, Q) policy that minimizes the expected(More)
In the background of flat world and widely international collaborations, it becomes critical for supply chain members to collaborate with each other. In this paper, we try to quantify the value of collaboration by improving business processes from the simulation point of view. We discuss different kinds of business process improvement manners, create(More)
Climate change is becoming one of the most important challenges facing our generation. Many industries and enterprises have begun steps for carbon emissions reduction and management. Manufacturing and industrial processes produce large amounts of greenhouse gas and use more electricity than any other sector, which push manufacturing enterprises to apply(More)