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Over the last five years, London Underground has developed a comprehensive asset model for its track assets, to enable it to optimise its renewals plans based on Whole Life Cost and performance on an asset by asset basis. This model has been fully embedded within London Underground's decision making, planning and forecasting processes. It is supported by comprehensive validation and forecast assessments...
The logistics network reliability theory is a probability index, which is more accurate to measure the status of the logistics network than absolute indicators. It can provide better decision-making basis for its planning and management. Therefore, study the reliability of logistics systems is essential to parts of the logistics business and even vital for the continued prosperity and stability of...
Progress in the maintenance area has been motivated by the increase in the number, size, complexity, and variety of equipment; growing awareness of the impact of equipment failures. Maintenance Method base on Risk Assessmen (MMRA) is one of the most popular maintenance optimization methods. Research presented in this paper is a pilot study using risk assessmen techniques in Preventive Maintenance...
An analytical method of calculating an optimal resistance for crowbar of doubly fed induction generator (DFIG) under single phase fault is proposed by taking into account the impact of crowbar on reactive power, rotor current, voltage and electrical torque respectively. Finding the optimal resistance value for the crowbar is based on Analytic Hierarchy Process (AHP) in this paper, of the DFIG during...
Many VMI Supply Chains produced a set of candidate stock addresses. The set was clustered by distance and storage. Only one address was selected to found warehouse in every class. The address is selected by all VMI supply chains which decides to found warehourse in that class. All VMI Supply Chains share the storage in one stock address class. Every VMI Supply Chain makes optimization of path itself...
Advances in technology have led to development of wearable sensing, computing and communication devices that can be woven into the physical environment of our daily lives, enabling a large variety of new applications in several domains including wellness and health care. Despite their tremendous potential to impact our lives, wearable health monitoring systems face a number of hurdles to become a...
Regardless of creation method, Fuzzy rules are of great importance in the implementation and optimization systems. Although using human knowledge in creating Fuzzy rules, has the advantage of readability and is near the experimental expertise, but it cannot be implemented in all systems. Since Output of a system is based on its correct function over the time, output data is reliable with higher percentage...
Aiming at the optimization problem of recycling channel of waste electronic products, the channel efficiency and its lost of the waste electronic products with recycling based on four different models are discussed in the paper. The research shows that the expected revenue values of used electronic products are the motive factors of recycling activities, the channel efficiency lose is happened in...
In this paper we will present a new framework for the work flows of distributed integrated systems by assessment of effective factors. This framework which has a higher efficiency compared with other frameworks has been assessed and will be presented within the ERPWKM framework using established phases. The proposed framework compares decision-making processes in various phases and reduces data processing...
The human being should be awarded the championship of navigation on the planet, on the virtues that they not only have invented and manufactured the compass, GPS, aircraft, vessel, spacecraft, but also have demonstrated exceptional non-instrumental navigation skills. The Austronesian expansion from the Asian mainland into the Pacific performed by the Pacific navigators, who eventually populated the...
For more efficient use of wireless sensor networks, the article using the Bayesian formula to revise the subjective weights base on the fuzzy multiple attribute decision making (MADMR) of WSN routing algorithm which making the subjective weight more theoretical, at the same time using the entropy coefficient model to avoid too much deviation with the objective weights. The simulation results show...
This paper analyzes the current energy utilization in typical heavy industry areas of China, and identified some gaps between China and developed countries. Based on the characteristics of heavy industrial cities in China and energy utilization value coefficient, this paper comprehensively adopts multi-objective programming and analytic hierarchy process (AHP) to optimize the cities' energy allocation...
Based on financial status of loan customers, considering the constrain on laws, and regulations, using portfolio profits maximum of bank's assets as objective function, the optimal model of asset-liability-management is set up, in order to provide decision-making method for bank's risk management. The characteristic is that the financial status of loan customers is measured by Z-Score model, which...
The Ant Colony Algorithm is introduced to network planning for searching a group of network constructions within the constrains of distribution system. Several evaluating indexes such as power losses, mass loading ratio, H-1 certification are mentioned, and the weights of every factor are obtained by Analytical Hierarchy Process. Mathematical function is used to analyze every network, and the optimal...
In this paper we introduce the first model to determine how best to make connections amongst a multi-layer network so to ensure a specified level of reliability amongst the components (actors) in the various levels of the system. This work is broadly applicable to any relationship in manufacturing, business organization or social networks in which the communication structure between independent subsystems...
Any organization that owns any large capital assets will eventually face a crucial decision - whether to repair or replace those assets, and when. This decision can have far-reaching consequences - replacing too early can mean a waste of resources, and replacing too late can mean catastrophic failure. The first is becoming more unacceptable in today's sustainability-oriented society, and the second...
This text builds up the time sequence model at first, then we get the result that the corresponding employment growth rate is 1.1304% when the GDP increases 8% in China at 2009; furthermore, we know that the GDP in 2009 should increase 16.97% in order to achieving the full employment, secondly, taking the maximum of the employment by labor force to be realized for our target, taking the stable growth...
Fracturing sand control is a complex sand prevention method. There are so many influence factors which can not be modeled by the structuring models in both the decision and the operation process. Expert system for the optimization design of the fracturing sand control can simulate the thinking patterns of those experts, collect the computer knowledge and models in the field, apply the fuzzy mathematics...
In this paper, the mixed order pricing strategy presented that can effectively motivate the distributors to increase the order quantity and reduce the times of order, especially the times of small quantity replenishment order on the basis of ensuring the same supply chain cluster agility, are presented. The implementation of the mixed order pricing strategy guarantees the same agility of the SMEs...
In this paper, we have proposed a novel algorithm based on Ant Colony Optimization (ACO) for finding near-optimal solutions for the Multi-dimensional Multi-choice Knapsack Problem (MMKP). MMKP is a discrete optimization problem, which is a variant of the classical 0-1 Knapsack Problem and is also an NP-hard problem. Due to its high computational complexity, exact solutions of MMKP are not suitable...
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