Cost Model For Services Research Articles

Sensor Deployment Optimization Methods in Electromagnetic Field Based on EEIF-PLI

Electromagnetic field has a great impact on the performance of wireless sensor networks (WSNs). The influence of electromagnetic field generated by power equipment on wireless sensor (WS) nodes is designated as two parameters: environmental electromagnetic interference factor (EEIF) and path loss index (PLI). EEIF is used to describe the probability in the sensor node probability sensing coverage model. PLI is substituted into a node communication path loss model; then, a node packet receiving success rate model can be obtained by above models, which is used to evaluate node communication quality in electromagnetic interference environment. Combined with a service cost model of wireless sensor networks in complex electromagnetic environment, the performance evaluation function of wireless sensor networks is established, and constraints are determined. Solved by the particle swarm optimization (PSO)-gray wolf optimizer (GWO) algorithm, optimal deployment of wireless sensor networks in complex electromagnetic environment is realized. Experimental results show that the proposed method can achieve best performance.

Study on Logistics Cost Optimization of Offshore Oil Service Industry Based on Offshore Oil Service Cost Model

Wang, H. and Zhao, Z., 2019. Study on logistics cost optimization of offshore oil service industry based on offshore oil service cost model. In: Li, L.; Wan, X.; and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 171–174. Coconut Creek (Florida), ISSN 0749-0208.The offshore oil service industry is an industry that provides professional services for offshore oil, including engineering services, facilities construction, and ship technical services. These services include exploration, development, and production of offshore oil and gas. Therefore, the offshore oil service industry occupies a large proportion of the logistics cost, which is mainly the monetary performance of various offshore operations and resources consumed in the space movement or time occupation of offshore engineering equipment. It is also the sum of manpower, material, and financial expenditure of marine engineering equipment in the process of physical movement, such as packaging, handling, handling, transportation, storage, circulation, and processing. According to the characteristics of the logistics system in the offshore oil service industry, this paper establishes an optimization model of logistics cost for the offshore oil service industry, which satisfies the requirements of order cycle regularity and logistics cost optimization. This paper calculates the solution of the model by case study. Through the optimization of logistics cost, this paper realizes the optimal allocation of resources and sustainable development.

공공기관 정보보호서비스 대가 모델의 개선 방안

공공기관 정보보호서비스 대가 모델의 개선 방안

Offshored Service Cost Model as a Key Post-Transition Challenge

Business process offshoring has been dynamically growing worldwide in the last few years, facilitated by the corporate need for operational expenses reduction, overcoming skilled workers shortage and the potential for operations optimization. At every stage of organizational changes, there are various challenges the service offshoring managerial community constantly struggles with. Th e paper presents the offshored service cost model that can be adjusted and applied for service budgeting, valuation and control, for it has been identified as the most common challenge affecting Polish service off shoring corporations in the post-transition period. Th e need for strengthening this area of knowledge was identified through empirical research and the case study conducted in this work serves for presenting the authors’ insights on cost modelling for offshored business services.

Supply Balance Optimization of Sustainable Power Generation from Service Cost Perspective

With recent trends in utilizing renewable power to develop sustainable energy sources, WTG and PV are increasingly viable economic alternatives for sustainable power generation from conventional fossil fuels. Therefore, multi-state models are being generated to solve the intermittent power production problem of wind turbine generator (WTG) and photo voltaic (PV). A sufficient design will cause outages that lead to certain cost losses on the customer side. Therefore, planning a reasonable size is a major dilemma. For this objective, the three models of load model, generation model, and service cost model should be built. For the first two models, the loss of load expected (LOEE) and the loss of load expected (LOLE) can be calculated. Then, this reliability characteristic is evaluated with the existing system of generation units to decide the range of required renewable generators. Finally, the cost model is constructed with consideration of the sustainable service cost.

Service cost model and cost comparative studies

PurposeThe purpose of this paper is to propose a service cost model which can be used to evaluate the impact of different management functionalities or network platforms to the service cost.Design/methodology/approachFollowing the validation of the importance that OpEx has on the overall TCO, a classification of the costs is proposed, based on their relation to the network. Two main types of costs have been identified: network based costs and service based costs. Both cost types have been modeled as a set of interconnected processes based on the network and service life cycle respectively. Network and service cost models have been integrated into a single framework. These models have been implemented as Markov chains, which include the dynamic behavior of services. Two different methods for the implementation (analytical versus non‐analytical) have been compared from the implementation and computation time point of view. The proposed service model has been used in two case studies: cost comparison of different types of services on different platforms; and impact of the service type distribution on the overall service cost on different platforms.FindingsThis paper finds the utility that the proposed cost model has. It has been shown that the impact on the overall service cost that a particular network platform capability such as the possibility of establishing point to multipoint connections has.. The proposed network and service cost models can be used on different types of networks and services.Originality/valueThe paper presents a general service cost model that can be used to study the impact of any management functionality or network platform has on the service cost.