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More and more employment websites have provide recruitment services. Some of them are commercial websites, others are government-sponsored websites. The biggest problem for these centers is that there is no information sharing among these sites. This paper would assume each website as a knowledge or information node and analyze the possibility of knowledge sharing and the sharing architecture from...
Although open innovation has drawn more and more attention, the value of outbound-revealing is still mysterious and attractive, since firm could not see the direct benefits by revealing knowledge outside freely. By a mini case study of user innovation, we proposed that outbound-revealing would help firm achieve better inbound-sourcing, thereby to improve its innovation performance.
In the current distributed simulation system, the real-time network transmission has been increasingly demanded. However, the traditional physical shared storage and LAN technology both have some limitations. This paper describes the reflective memory network technology and compares it with the traditional network transmission technology. In the High Level Architecture (HLA) applications, Most of...
In a highly competitive market, product variety is one of the most important competitive advantages. However, excessive product proliferation will hurt firm's profit. Hence, how to manage product variety to maximize profit becomes an important issue. In a closed-loop supply chain, product proliferation not only impacts the forward supply chain, but also the reverse one. Although increasing number...
As one of the key technologies in production process scheduling, line balancing has played a decisive role in improving productivity and increasing utilization efficiency. In this work, a novel approach for balancing manual automobile assembly lines is proposed within an improved genetic algorithm framework, where task sequence chromosomes are coded with satisfaction of precedence constraints and...
Originating in 1980s, distributed simulation has turned out to be a powerful tool in scientific research, military simulation and training, complex product design and more other fields. However, new problems like limited computational capacity and heavy communication overhead exist as simulation modeling and computation develop. This paper concentrates on these problems, reviews related work, and...
The objective of this study is to identify the key technology with analysis of the cost boundary of future photovoltaics (PV) technologies using life-cycle costing. We estimate the amount cost of photovoltaic system in Japan. It considers material flows over the whole production process starting from silica extraction to the final panel assembling. The comparison of current scenario to the expected...
This paper studies the mediating role of incubator capability for the relationship between incubator resources and incubator performance. To justify it, a survey is conducted with managers from 150 incubators in China. Three types of incubator resources influence the performance respectively through the same variable “incubator capability” but with different mediating effects.
There are some small-sample cases in economic forecast, for lacking of quantitative information, in which it happens that some given forecasting method fits well while behaves badly in forecasting, while to the contrary, the situation behaves well when we make the combination of both qualitative and quantitative methods in forecasting. The concept of risk of forecasting is defined, as well as the...
Semiconductor test scheduling problem is a variation of reentrant unrelated parallel machine problem considering multiple resources constraints, intricate {product, tester, kit, component} eligibility constraints, and sequence-dependant setup times, etc. A multi-step reinforcement learning (RL) algorithm called Sarsa(λ,k) is proposed and applied to deal with it. Allowing enabler reconfiguration, the...
In imperfect production processes, this paper considers production correction and maintenance to break away out of control state. Production processes are classified into two types of state: one is the type I state (out-of-control state) and the other is the type II state (in-control state). The type I state involves adjustment of the production mechanism. Production correction is either imperfect;...
The purpose of reliability-based design optimization (RBDO) is to find a balanced design that is not only economical but also reliable in the presence of uncertainty. Practical applications of RBDO involve discrete design variables, which are selected from commercially available lists, and non-smooth (non-differentiable) performance functions. The proposed PSO algorithm extends standard PSO to include...
In the new power business, the goal of electric generation companies is to commit their services at profit. The committed services will determine the future cash flows and consequently financial performance. However, purely generation assets' cash flows are path-dependent, since the path dependency relies on operational generating units' constraints. This paper focuses on the GenCos' future cash revenue...
Managerial ties may have positive impact on a firm performance. However, it's still unclear how managerial ties influence the decision-making of top managers and a firm performance. This article explores the relationship between managerial ties and firm performance by introducing a mediator of managerial sensemaking based on a survey of 243 firms in China. The empirical results indicate that managerial...
This paper proposes a hybrid ACO approach to minimize weighted tardiness for a batch-processing machine in diffusion area with incompatible jobs and dynamic arrival time. The method combines ACO algorithm and NACH (Next Arrival Control Heuristic) method, and also puts the batching and scheduling process together. The proposed method is validated and verified by extensive simulation experiments. The...
The well-known particle swarm optimization (PSO) proposed by Kennedy and Eberhart has been widely applied to the continuous optimal problems. However, it is still intractable to apply PSO to discrete optimization problems, such as permutation flow shop scheduling problems (PFSSP). In this paper, a new high performing metaheuristic algorithm hybridizing PSO with variable neighborhood search (VNS) is...
The learning effect from repeated processing of similar operations or jobs can greatly increase the processing efficiency as knowledge or experiences are gained from the processes of operations or jobs. In this paper, the scheduling problem is modeled and solved by using another domain perspective of the integrated agent-based approach with learning effect. In this approach, an agent-based scheduling...
The Analytic Hierarchy Process is a proven and widely applied Multiple Criteria Decision Making method. In this paper we described an application of this approach to the problem of supplier selection in municipal bus transport company. The set of evaluation criteria included both quantitative and qualitative data bounded with financial, technical and political expectations. We investigated requirements...
A collaborative ordering policy in a modern supply chain system not only minimizes the integrated joint cost but also benefits each channel member. In the replenishment policy, resource constraint in each channel member is very common. When customer demand in the supply chain is fuzzy uncertainty, these constraints and cost functions may be imprecise and vague. In this paper, we consider fuzzy market...
Through exploratory case studies, this paper identifies the critical factors for technology roadmapping in Chinese companies, and develops a framework with the relationships between these factors. This provides a “roadmap” for strategic technology and product planning.
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