检索结果-内蒙古大学图书馆

Parallel machine scheduling with multiple processing alternatives and sequence-dependent setup times

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2021年第18期59卷 5438-5453页

作者： Kim, Jun Kim, Hyun-Jung Korea Inst Ind Technol Proc Platform Res Div Ansan South Korea Korea Adv Inst Sci & Technol Dept Ind & Syst Engn 291 Daehak Ro Daejeon 34141 South Korea

This paper examines a parallel machine scheduling problem in which jobs can be processed either in multiple parts or in a complete form and the number of possible job splitting alternatives of jobs is more than one. There are sequence-dependent setup times between different jobs (or parts), and the objective is to minimise makespan by choosing an appropriate processing alternative for each job, assigning parts (or jobs) to machines, and determining the sequence of parts on the machines. This work is motivated from a 3D printer-based manufacturing system that produces customised products for individuals or start-up companies. When 3D printers are used as processing machines, a product can be printed in diverse forms composed of different parts. To address the problem, we first propose a mixed integer programming model and then develop a hybrid genetic algorithm which is combined with a travelling salesman problem-based heuristic algorithm. The experimental results show that the average gap between a solution from the proposed algorithm and an optimal one solved with CPLEX or a lower bound is very small. The paired t-test shows that there is a significant improvement for processing jobs with multiple alternatives.

关键词： 3D printing scheduling minimisation of makespan mathematical programming model sequence-dependent setup time hybrid genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Time-cost-quality-environmental impact trade-off resource-constrained project scheduling problem with DEA approach

引用

ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT 2021年第7期28卷 1979-2004页

作者： Banihashemi, Sayyid Ali Khalilzadeh, Mohammad Payame Noor Univ Dept Ind Engn Birjand Iran CENTRUM Catolica Grad Business Sch Lima Peru Pontificia Univ Catolica Peru Lima Peru

Purpose The purpose of this paper is to evaluate project activities' efficiency in different execution modes for the optimization of time-cost-quality and environmental impacts trade-off problem. Design/methodology/approach This paper presents a parallel Data Envelopment Analysis (DEA) method for evaluation of project activities with different execution modes to select the best execution mode and find a trade-off between objectives. Also, according to the nature of the project activities, outputs are categorized into desirable (quality) and undesirable (time, cost and environmental impacts) and analyzed based on the DEA model. In order to rank efficient execution modes, the ideal and anti-ideal virtual units method is used. The proposed model is implemented on a real case of a rural water supply construction project to demonstrate its validity. Findings The findings show that the use of the efficient execution mode in each activity leads to an optimal trade-off between the four project objectives (time, cost, quality and environmental impacts). Practical implications This study help project managers and practitioners with choosing the most efficient execution modes of project activities taking time-cost-quality-environmental impacts into account. Originality/value In this paper, in addition to time and cost optimization of construction projects, quality factors and environmental impacts are considered. Further to the authors' knowledge, there is no method for evaluating project activities' efficiency. The efficiency of different activity modes is also evaluated for the first time to select the most efficient modes. This research can assist project managers with choosing the most appropriate execution modes for the activities to ultimately accomplish the project with the lowest time, cost and environmental impacts along with the highest quality.

关键词： Multi-mode resource-constrained project scheduling problem (MRCPSP) Time-cost-quality-environment mathematical programming model Data envelopment analysis (DEA) Construction project

来源：评论

学校读者我要写书评

暂无评论

Farmers' land allocation responses to the soybean rejuvenation plan: evidence from "typical farm" in Jilin, China

引用

CHINA AGRICULTURAL ECONOMIC REVIEW 2021年第3期13卷 705-719页

作者： Guo, Shijuan Lv, Xinye Hu, Xiangdong Chinese Acad Agr Sci Inst Agr Econ & Dev Beijing Peoples R China

Purpose The purpose of this paper is to test the impact of the soybean rejuvenation plan and the subsidy on farmers' land allocation decisions, which may reference policy adjustment from a micro perspective. Design/methodology/approach The paper develops a multi-objective optimized programming model on farm-level, which simulated the land-use changes, as well as the resulting changes in benefits of the rational "typical farm". The simulation scenarios include changes in subsidy policy and production efficiency, and the baseline scenario was the production status in 2018. Findings The results show that an increase in soybean producer subsidy will encourage farmers to allocate more land for soybean planting, which can be considered as a policy tool in promoting soybean production in China. Besides, the effect of subsidy in adjusting soybean acreage for farms is further affected by external conditions such as production technology (such as breeding technology, pesticide and fertilizer application efficiency). Meanwhile, large-scale farms show more significant land adjustments when facing changes in policies and external conditions. Originality/value The value of this paper is to simulate the effects of soybean policy and subsidy change on farmers' land-allocation decisions through a multi-objective farmer decision-making model, which provides a micro perspective to understand the implementation effect of the soybean revitalization plan.

关键词： Soybean rejuvenation plan Typical farm Land-use mathematical programming model China

来源：评论

学校读者我要写书评

暂无评论

Home care routing and scheduling problem with teams? synchronization

引用

SOCIO-ECONOMIC PLANNING SCIENCES 2023年第1期86卷

作者： de Aguiar, Ana Raquel Pena Ramos, Tania Rodrigues Pereira Gomes, Maria Isabel Univ Lisbon Ctr Management Studies Inst Super Tecn CEGIST Lisbon Portugal NOVA SST Ctr Math & Applicat NOVA Math Caparica Portugal NOVA SST Dept Math Caparica Portugal

The demand for home care (HC) services has steadily been growing for two main types of services: healthcare and social care. If, for the former, caregivers' skills are of utter importance, in the latter caregivers are not distinguishable in terms of skills. This work focuses social care and models caregivers' synchronization as a means of improving human resources management. Moreover, in social care services, several visits need to be performed in the same day since patients are frequently alone and need assistance throughout the day. Depending on the patient's autonomy, some tasks have to be performed by two caregivers (e.g. assist bedridden patients). Therefore, adequate decision support tools are crucial for assisting managers (often social workers) when designing operational plans and to efficiently assign caregivers to tasks. This paper advances the literature by 1) considering teams of one caregiver that can synchronize to perform tasks requiring two caregivers (instead of having teams of two caregivers), 2) simultaneously modelling daily continuity of care and teams' synchro-nization, and 3) associating dynamic time windows to teams' synchronizations introducing scheduling flexibility while minimize service and travel times. These concepts are embedded into a daily routing and scheduling MIP model, deciding on the number of caregivers and on the number and type of teams to serve all patient tasks. The main HC features of the problem, synchronization and continuity of care, are evaluated by comparing the proposed planning with the current situation of a home social care service provider in Portugal. The results show that synchronization is the feature that most increases efficiency with respect to the current situation. It evi-dences a surplus in working time capacity by proposing plans where all requests can be served with a smaller number of caregivers. Consequently, new patients from long waiting lists can now be served by the "available" caregivers.

关键词： Routing & scheduling problem mathematical programming model Home care services Service synchronization

来源：评论

学校读者我要写书评

暂无评论

Carbon sequestration in French agricultural soils: A spatial economic evaluation

引用

AGRICULTURAL ECONOMICS 2021年第2期52卷 301-316页

作者： Bamiere, Laure Jayet, Pierre-Alain Kahindo, Salome Martin, Elsa Univ Paris Saclay INRAE AgroParisTech Econ Publiquc Thiverval Grignon France Univ Bourgogne Franche Comte INRAE AgroSup Dijon CESAER F-21000 Dijon France

Soil organic carbon sequestration measures entail costs to farmers with different individual characteristics and located in different areas. A cost-effective analysis taking into account these heterogeneities is crucial for developing effective public policy aimed at increasing carbon sequestration. We undertake such an analysis focusing on three soil organic carbon sequestration measures: no-till, extension of temporary grasslands, and hedgerows. Through an optimization model applied to France, our results show that only extension of temporary grasslands can store carbon at low cost, though their potential for carbon sequestration is also low. For an ambitious carbon sequestration target, no-till and hedgerows are needed. Because of heterogeneities among farmers, we show that economic incentives are more cost effective than command and control measures. Furthermore, we highlight that the carbon sequestration policy tested here is unable to totally neutralize agricultural greenhouse gas emissions and that a combination of agricultural and environmental policies is essential for tackling climate change.

关键词： agricultural soil carbon sequestration climate change mathematical programming model

来源：评论

学校读者我要写书评

暂无评论

A mathematical programming approach for assessing the impact of climate change on Mediterranean farming systems: A Tunisian case study

SCIENTIFIC AFRICAN

引用

SCIENTIFIC AFRICAN 2025年 27卷

作者： Ben Mimoun, Anouar Mazhoud, Houda Chemak, Fraj Natl Agron Inst Tunisia INAT Dept Econ Agr & Agrifood Management Tunis Tunisia Univ Carthage Natl Inst Agr Res Tunisia INRAT Rural Econ Lab LR16INRAT07 1004 El Menzah 1 Tunis 1001 Tunisia

The paper aims to assess the short-term effects of climate change on economic and social performance of selected farming systems in Tunisia. The purpose is to analyze the evolution of land use and water allocation under different climate change scenarios at regional and local levels. In order to achieve the objective, a regional mathematical programming model was developed considering 2 regions and 7 farming production systems. Results showed that farming systems are affected differently by climate change. Large farming whose profitability is confirmed at the current state, their sustainability is not strongly threatened in the case of the climate change scenario. The subsistence and the small farming systems which are in difficulty because of their modest productive resources, their technological backwardness, and their structural constraints. Water availability will have modest welfare impacts, with an average decrease of 16 %. Despite the small aggregated effects, it is expected that climate change will have uneven consequences across regional income. For instance, even though the Medium farming system in Tell inferior showed the smallest income changes 1 % (average), the impacts within the others systems (large farm system, subsistence system and small farm system) range from 2 % to 16 % decrease in agricultural income. This situation suggests large distributional consequences of climate change for the Tunisian agricultural sector.

关键词： Climate change Farming systems mathematical programming model Tunisia

来源：评论

学校读者我要写书评

暂无评论

Increasing food production and mitigating agricultural greenhouse gas emissions in the European Union: impacts of carbon pricing and calorie production targeting

引用

ENVIRONMENTAL ECONOMICS AND POLICY STUDIES 2021年第2期23卷 409-440页

作者： Isbasoiu, Ancuta Jayet, Pierre-Alain De Cara, Stephane Univ Paris Saclay AgroParisTech INRAE Econ Publ F-78850 Thiverval Grignon France

This study focuses on the links between food production and greenhouse gas emissions in the European Union. The analysis relies on two sets of simulations of AROPAj, a supply-side model of EU agriculture: (i) a carbon price affecting agricultural GHG emissions (from 0 to 200 EUR/tCO(2)eq), and (ii) a lower limit on the net quantity of food calories provided by EU agriculture (200 to 450 Mt soft wheat equivalent). The model is calibrated on six annual datasets 2007-2012. The results show that a moderate increase in the price of carbon would lead to an increase in total areas and outputs of crops. Animal production decreases over the explored range of carbon price. At 200 EUR/tCO(2)eq, the reduction in GHG emissions ranges from 25 to 35% depending on the year of calibration. The results also show that current net calorie production from food can be more than doubled, while simultaneously reducing GHG emissions by 10-15%. The compatibility between a reduction in GHG emissions and an increase in food calorie production relies on substantial changes in animal production and feed, which implies significant variations in grassland and fallow land. These effects are contrasted between the regions of the EU.

关键词： Greenhouse gas emissions Food production Carbon price European Union mathematical programming model

来源：评论

学校读者我要写书评

暂无评论

Green reverse logistics network design for medical waste management: A circular economy transition through case approach

引用

JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022年 322卷

作者： Govindan, Kannan Nosrati-Abarghooee, Saeede Nasiri, Mohammad Mahdi Jolai, Fariborz Shanghai Maritime Univ China Inst FTZ Supply Chain Shanghai 201306 Peoples R China Univ Southern Denmark Danish Inst Adv Study Ctr Sustainable Supply Chain Engn Dept Technol & Innovat Campusvej 55 Odense Denmark Yonsei Univ Yonsei Frontier Lab Seoul South Korea Woxsen Univ Sch Business Sadasivpet Telangana India Univ Tehran Coll Engn Sch Ind Engn Tehran Iran

The lack of proper management of medical waste leads to environmental pollution and threatens the lives of communities. Good medical waste management means appropriate planning and monitoring at all stages, including collection, separation, treatment, recycling, and disposal which promotes a circular approach. This paper presents a multi-item, multi-period, and bi-objective mixed-integer linear programming circular economy transition model for medical waste management considering the uncertainty in the amount of waste generated to design a green reverse network. In this paper, for the first time, the concept of queuing theory is applied to manage the waiting time of trucks carrying infectious waste in treatment centers. In addition, the proposed model simultaneously addresses the centers' location and heterogeneous vehicles routing, and uses a stochastic scenario-based approach to deal with uncertainty of the waste generated. The purpose of the proposed model is to minimize total cost and population risk, and for this end, to employ an improved augmented epsilon-constraint method (AUGMECON2). Finally, the efficiency of the proposed model and solution approach is examined using the data of a case study in Alborz province that includes six hospitals, three potential collection centers, three potential treatment centers, four potential recycling centers, and three potential disposal centers.

关键词： Green reverse network Medical waste management Circular economy mathematical programming model Location-routing problem Queuing theory

来源：评论

学校读者我要写书评

暂无评论

Community detection in attributed networks considering both structural and attribute similarities: two mathematical programming approaches

引用

NEURAL COMPUTING & APPLICATIONS 2020年第8期32卷 3203-3220页

作者： Alinezhad, Esmaeil Teimourpour, Babak Sepehri, Mohammad Mehdi Kargari, Mehrdad Tarbiat Modares Univ Fac Ind & Syst Engn POB 14115-143Room 210 Tehran Iran

Community detection is one of the most well-known and emerging research topics in the area of social network analysis. There are a wide variety of approaches to find communities in the literature, each with its own advantages and disadvantages. A majority of these approaches tend to detect communities by only using the network topology. However, the distribution of the node attributes is correlated with the community structure in many real networks. Therefore, the quality of the discovered partitions can be enhanced by considering node attributes. In this study, two novel mathematical programming approaches are proposed to integrate the topological structure and node similarities, in which first the primary attributed network is converted into a secondary non-attributed network. Then, a mathematical model will be developed to find communities in the secondary network. Thanks to the fact that the objective function and constraints of the proposed model are defined linear, the global optimality of the obtained solutions is guaranteed. In order to validate the proposed approaches, they are applied to both real-world and benchmark networks. Computational results of two well-known evaluation measures including Rand index and normalized mutual information demonstrate the efficiency of the proposed approaches in discovering better partitions.

关键词： Community detection mathematical programming model Attributed network Node attributes Modularity maximization

来源：评论

学校读者我要写书评

暂无评论

UAV-based 3D reconstruction for hoist site mapping and layout planning in petrochemical construction

引用

AUTOMATION IN CONSTRUCTION 2020年第0期113卷 103137-000页

作者： Jiang, Weiguang Zhou, Ying Ding, Lieyun Zhou, Cheng Ning, Xiaodi Huazhong Univ Sci & Technol Sch Civil Engn & Mech Wuhan Hubei Peoples R China Hubei Engn Res Ctr Virtual Safe & Automated Const Wuhan Hubei Peoples R China

Hoisting operations are an essential part of petrochemical plant construction. The pre-layout planning of hoisting facilities, including hoisted objects and cranes, is the key to ensuring the success of the entire construction. However, most current site layout planning methods optimize construction facilities from the 2D plane space, which makes the safety of large-scale hoisting difficult to guarantee. This work proposes an unmanned-aerial-vehicle-based 3D reconstruction for hoist site mapping and layout planning. The core of this study is to utilize real-time 3D spatial information as a constraint for hoisting facility layout planning. Improved image-based modeling techniques are used to reconstruct the 3D construction site model in real-time. The geometric parameters extracted by the site model support the mathematical programming model presented in this work for a safe and efficient rapid layout planning. The C101 tower hoisting in the construction of the Wuhan Petrochemical Plant is used to verify the effectiveness of the method. Calculation results show that the method can push the position and save planning time intelligently. Furthermore, this method can provide a new solution to hoisting safety and efficiency.

关键词： UAV Layout planning Petrochemical construction mathematical programming model

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：