检索结果-内蒙古大学图书馆

Biogas and EU's 2020 targets: Evidence from a regional case study in Italy

ENERGY POLICY 2017年 109卷 510-519页

作者： Bartolini, Fabio Gava, Oriana Brunori, Gianluca Univ Pisa Dept Agr Food & Environm Via Borghetto 80 I-56124 Pisa Italy

The provision of renewable energy by agriculture so-called agroenergy-is a key element of the Europe 2020 Strategy and has sparked public and research debates on the bio-based economy. Hot topics involve direct and indirect land use change and the ability of agroenergy to foster or hinder food and energy security. Worldwide research has dealt with these and other issues associated with the sustainability of the diffusion of agroenergy generation systems, but the subject is still open. This paper contributes to the ongoing debate on the sustainability of agroenergy. We propose an empirical model to simulate the diffusion of farm biogas installations and estimate a set of indicators covering the economic, environmental, and social dimensions of sustainability at the regional level. model results show that the current incentive mechanism does not allow to meet EU's energy targets at the local level. To do so, the policy mix needs an improved design accounting for regional peculiarities across the EU. model results show that agroenergy production can help farmers stabilise their income and keep viable rural areas, despite some trade-offs among socioeconomic and environmental indicators. Major drawbacks are environmental risks associated with farming intensification.

关键词： Renewable energy mathematical programming model Bio-based economy Impact assessment Sustainability EU 2020 targets

来源：评论

学校读者我要写书评

暂无评论

Coupling a settlement growth model with an agro-economic land allocation model for securing ecosystem services provision

引用

JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT 2017年第7期60卷 1127-1152页

作者： Drobnik, Thomas Huber, Robert Gret-Regamey, Adrienne Swiss Fed Inst Technol Dept Civil Environm & Geomat Engn PLUS Zurich Switzerland Swiss Fed Inst Forest Snow & Landscape Res WSL Birmensdorf Switzerland

Mountain landscapes are undergoing rapid land-use changes. Settlement expansion, the intensification of agricultural land-use practices, and farmland abandonment result in a decline of natural and semi-natural habitats and the related ecosystem services (ES). In this context, spatial planning has emerged as a key instrument for the management of ES provision. To better understand trade-offs and interactions between settlement growth and ES provision in a spatially explicit manner, we present a new modeling framework coupling an agent-based, agro-economic optimization model and a cellular-automata-based settlement growth model. The framework is applied in an inner alpine valley in the Valais, Switzerland, which experienced rapid settlement growth in recent years. Results demonstrate how the model framework allows support of local planning processes. Particularly cooperation among municipalities and an explicit consideration of ES can inform spatially explicit ES trade-off decisions under increasing demand for land. We conclude that better informed spatial planning processes support ES provision.

关键词： ecosystem services spatial planning mathematical programming model cellular automata settlement expansion

来源：评论

学校读者我要写书评

暂无评论

A mathematical model to Evaluate and Improve Lean Management of Healthcare System: A Case Study of Health Examination Center 24

A Mathematical Model to Evaluate and Improve Lean Management...

引用

24th ISPE Inc. International Conference on Transdisciplinary Engineering

作者： Lin, Jin-Hung Chiu, Ming-Chuan Natl Tsing Hua Univ Dept Ind Engn & Engn Management Hsinchu Taiwan

ISBN: (纸本)9781614997795;9781614997788

Healthcare system plays an important role in our daily life. A well operated healthcare system not only can save lives but also provide good work environment to medical staffs. However, most of the healthcare systems suffer from high workload of medical staff and low customer satisfaction. In addition, the stochastic nature of healthcare services is hard to evaluate the performance. Therefore, this study aims to implement lean management in the healthcare system with lean techniques and a stochastic model to achieve both customer satisfaction and waste reduction simultaneously. The first step is analysis of the current process and collect data to clarify the current status by quality management practices and lean tools. Further, a stochastic mathematical programming model is developed to optimize the performance of this healthcare system. Simulation results show that the efficiency of process flow after leveling is improved about 19.97%, idle ratio of work station is improved about 41.64% and 22.47% and the average flow time is improved about 4 minutes. A health examination center case is applied to demonstrate the benefit of the proposed method. This study might be the first study which implement lean and stochastic characteristics of healthcare system in a mathematical model. This model can serve as a decision support system and can be apply to other service system in lean improvement.

关键词： Lean management mathematical programming model Simulation Healthcare

来源：评论

学校读者我要写书评

暂无评论

Optimal synthesis and design of the number of cycles in the leaching process for surimi production

引用

JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE 2016年第12期53卷 4325-4335页

作者： Agustina Reinheimer, M. Scenna, Nicolas J. Mussati, Sergio F. UTN FRRo CAIMI Fac Reg Rosario Zeballos 1346S2000BQA Rosario Santa Fe Argentina Consejo Nacl Invest Cient & Tecn Buenos Aires DF Argentina Consejo Nacl Invest Cient & Tecn INGAR Inst Desarrollo & Diseno Avellaneda 3657S3002GJC Santa Fe Argentina

Water consumption required during the leaching stage in the surimi manufacturing process strongly depends on the design and the number and size of stages connected in series for the soluble protein extraction target, and it is considered as the main contributor to the operating costs. Therefore, the optimal synthesis and design of the leaching stage is essential to minimize the total annual cost. In this study, a mathematical optimization model for the optimal design of the leaching operation is presented. Precisely, a detailed Mixed Integer Nonlinear programming (MINLP) model including operating and geometric constraints was developed based on our previous optimization model (NLP model). Aspects about quality, water consumption and main operating parameters were considered. The minimization of total annual costs, which considered a trade-off between investment and operating costs, led to an optimal solution with lesser number of stages (2 instead of 3 stages) and higher volumes of the leaching tanks comparing with previous results. An analysis was performed in order to investigate how the optimal solution was influenced by the variations of the unitary cost of fresh water, waste treatment and capital investment.

关键词： Surimi manufacturing process Optimal configuration and design MINLP model mathematical programming model GAMS

来源：评论

学校读者我要写书评

暂无评论

mathematical programming methods for consistency and consensus in group decision making with intuitionistic fuzzy preference relations

引用

KNOWLEDGE-BASED SYSTEMS 2016年 98卷 30-43页

作者： Xu, Gai-li Wan, Shu-ping Wang, Feng Dong, Jiu-ying Zeng, Yi-feng Jiangxi Univ Finance & Econ Coll Informat Technol Nanchang 330013 Peoples R China Guilin Univ Technol Coll Sci Guilin 541002 Peoples R China Jiangxi Univ Finance & Econ Sch Stat Nanchang 330013 Peoples R China Jiangxi Univ Finance & Econ Res Ctr Appl Stat Nanchang 330013 Peoples R China Univ Teesside Sch Comp Middlesbrough TS1 3BA Cleveland England

In group decision making (GDM) with intuitionistic fuzzy preference relations (IFPRs), the consistency and consensus are two key issues. This paper develops a novel method for checking and improving the consistency of individual IFPRs and the consensus among experts. To measure the consistency degree of IFPRs, a consistency index is introduced and then an acceptable consistency is defined. For an IFPR with unacceptable consistency, a mathematical programming approach is developed to improve its consistency. To evaluate the consensus degree among experts, a consensus measure is presented by the proximity degree between one expert and other experts. When several individual IFPRs are unacceptable consistent or consensus is unacceptable, a goal program is built to improve the consistency and consensus simultaneously. By the consistency and proximity degrees of individual IFPRs, experts' objective weights are determined. Combining the experts' subjective weights, the experts' comprehensive weights are derived. Then, an intuitionistic fuzzy geometric weighted mean (IFGWM) operator is proposed to integrate individual IFPRs into a collective one. Moreover, an attractive property is proved that the collective IFPR is acceptable consistent if all individual IFPRs are acceptable consistent. Two examples are provided to illustrate the validity of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Intuitionistic fuzzy preference relation Group decision making Multiplicative consistency Consensus mathematical programming model

来源：评论

学校读者我要写书评

暂无评论

Bee algorithms for parallel two-sided assembly line balancing problem with walking times

引用

APPLIED SOFT COMPUTING 2016年 39卷 275-291页

作者： Tapkan, Pinar Ozbakir, Lale Baykasoglu, Adil Erciyes Univ Dept Ind Engn Kayseri Turkey Dokuz Eylul Univ Dept Ind Engn Izmir Turkey

Production lines, designed in a serial manner, have attracted the attention of researchers for many years. Line efficiency, throughput time and workload balancing are the main concerns regarding assembly lines, due to the high volume production. Recently, specific assembly line configurations, such as two-sided and parallel lines, have been addressed by researchers within the operational levels of production. Parallel two-sided assembly lines, rather a new research area, allocate more flexible workers and reduce throughput time by incorporating the advantages of two-sided and parallel assembly lines. Since parallel two-sided assembly lines are utilized to produce large-scale products, such as automobiles, trucks, and buses in industry;they also require a significant worker movement between parallel lines because of the unavoidable walking distances between lines. In this respect, different from the existing literature, walking distances have been included in parallel two-sided assembly line balancing problem. The main purpose of this paper is to introduce parallel two-sided assembly line balancing problem with walking times and to propose the implementation of Bees Algorithm and Artificial Bee Colony algorithm due to the NP-hardness of the problem. An extensive computational study is also carried out and the comparative results are presented. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Parallel two-sided assembly line balancing problem Walking times Bees algorithm Artificial bee colony algorithm mathematical programming model

来源：评论

学校读者我要写书评

暂无评论

mathematical programming models for Competitive Two-Agent Single-Machine Scheduling with Flexible Periodic Maintenance Activities

引用

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2014年第5期39卷 3715-3722页

作者： Xu, Dehua Liu, Aihua Yang, Dar-Li E China Inst Technol Sch Sci Nanchang 330013 Jiangxi Peoples R China E China Inst Technol Sch Sci Fuzhou 344000 Jiangxi Peoples R China Natl Formosa Univ Dept Informat Management Yunlin 632 Taiwan

Competitive multi-agent scheduling has attracted increasingly more and more researchers' attention recently. Inspired by the observation that a machine may not be always available during the whole planning horizon, we study a new category of scheduling problems where competitive two-agent scheduling and flexible periodic maintenance are considered simultaneously. As a start of this new topic, we focus our attention on establishing mathematical programming models for some of these scheduling problems. Specifically, we first present a framework for the general problem, and then construct various constraint blocks, which include common constraint block, constraint block for the relationship between start times and completion times of the jobs, constraint block for the relationship between the jobs and the maintenance activities, constraint block for various regular objective functions of the two agents, constraint block for the ranges of variables, and constraint block for the other constraint factors. One can establish mathematical programming models for at least 512 scheduling scenarios of this category easily based on these constraint blocks. The work presented in this paper is extremely useful for the production managers and software developers who are seeking for optimization models to generate optimal schedules for their problems.

关键词： Scheduling Two-agent Single-machine mathematical programming model

来源：评论

学校读者我要写书评

暂无评论

Process improvement capability index with cost - A modeling method of mathematical programming

引用

APPLIED mathematical modelLING 2015年第5-6期39卷 1577-1586页

作者： Chen, Kuen-Suan Yang, Shiang-Li Chen, Hsi-Tien Natl Chin Yi Univ Technol Dept Ind Engn & Management Taichung 411 Taiwan Natl Chin Yi Univ Technol Dept Leisure Ind Management Taichung 411 Taiwan

To improve productivity and remain competitive, businesses nowadays introduce the process capability index (C-pm) to evaluate the quality of their products in an effort to improve them and cut down on operation costs. This is because C-pm can clearly reflect process loss and yield percentage (yield%) that it is widely used in the industry. When suppliers' process capability is found to be limited in terms of C-pm an improvement in product quality is required and the cost of the improvement varies depending on the source of loss. Though C-pm is a very good index for the evaluation of process capability, it is unable to reflect suppliers' improvement costs. Thus, this paper takes a reduction in the improvement cost into consideration and proposes the process improvement capability index (C-PIM). The mathematical programming model is then used to assess the confidence interval of index C-PIM to overcome the problem of complicated estimation of index C-PIM. With C-PIM, manufacturers are able to evaluate suppliers' ability in process improvement, particularly when the suppliers' process capability is found to be limited, to effectively reduce suppliers' improvement costs, to improve the quality of products, to enhance productivity and finally to achieve the goal of sustainable operations. (C) 2014 Elsevier Inc. All rights reserved.

关键词： Process capability index Process improvement capability index Supply chain mathematical programming model

来源：评论

学校读者我要写书评

暂无评论

Impacts of the CAP 2014-2020 on the Agroenergy Sector in Tuscany, Italy

引用

ENERGIES 2015年第2期8卷 1058-1079页

作者： Bartolini, Fabio Angelini, Luciana G. Brunori, Gianluca Gava, Oriana Univ Pisa Dept Agr Food & Environm I-56124 Pisa Italy

The agricultural sectors' contribution to the provision of energy is a central issue in Horizon 2020 strategies and has shaped the public and research debates on the future of the bioeconomy. The common agricultural policy (CAP) has been one of the main drivers of farmers' behavioural changes and represents the main agricultural policy instrument to address viability of rural areas and maintaining the profitability of the agricultural sector. To contribute to the ongoing policy debate towards CAP reform, this paper will provide an empirical model to simulate the impact of an alternative CAP mechanism on the provision of renewable energy. By applying a dynamic mathematical programming model, the paper tests the impact that new policy measures will have on the provision of a second-generation of bio fuel crops that represent a relevant option for Tuscan farmers. Results show that CAP reform positively impacts the supply of energy crops mainly due to the introduction of greening payments, which allows an enlarging of crop diversification. model results stress also the income stabilisation effects of energy production introduction at farm level, due to reduction of farm exposure to market prices fluctuations.

关键词： common agricultural policy energy production farm household model mathematical programming model biogas short rotation coppice real options

来源：评论

学校读者我要写书评

暂无评论

Integrating the activity-based costing system and life-cycle assessment into green decision-making

引用

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2015年第2期53卷 451-465页

作者： Tsai, Wen-Hsien Tsaur, Tsen-Shu Chou, Yu-Wei Liu, Jau-Yang Hsu, Jui-Ling Hsieh, Chu-Lun Natl Cent Univ Dept Business Adm Jhongli Taiwan Chung Yuan Christian Univ Dept Business Adm Jhongli Taiwan Chinese Culture Univ Dept Accounting Taipei Taiwan Feng Chia Univ Dept Int Trade Taichung 40724 Taiwan

The main objective of this study is to develop a model for decision-making associated with the activity-based costing (ABC) system within the life-cycle assessment (LCA) aspects for the electrical and electronic industry. In order to maximise a company's profits and minimise environmental impact within limited constraints and resources, a mathematical programming model and green optimal manufacturing decisions have been proposed. Our findings provide insight into 'green businesses', and are beneficial in terms of environmental management in a competitive industry. The proposed programming model is put forward as a green management tool that provides enterprise advantages and niches, and reaches environmental sustainability goals.

关键词： environmental management global warming potential (GWP) mathematical programming model life-cycle assessment (LCA) decision-making activity-based costing (ABC)

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：