International Conference on Operations Research and Enterprise Systems最新文献

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Solving the Multi-activity Shift Scheduling Problem using Variable Neighbourhood Search 用变邻域搜索求解多工种轮班调度问题
International Conference on Operations Research and Enterprise Systems Pub Date : 2020-02-01 DOI: 10.5220/0009118102270232
Yi Qu, Timothy Curtois
{"title":"Solving the Multi-activity Shift Scheduling Problem using Variable Neighbourhood Search","authors":"Yi Qu, Timothy Curtois","doi":"10.5220/0009118102270232","DOIUrl":"https://doi.org/10.5220/0009118102270232","url":null,"abstract":"This paper presents a set of benchmarks instances for the multi-activity shift scheduling problem and the results produced using a variable neighbourhood search method. The data set is intended as a resource to generate and verify novel research on an important and practical but challenging problem. The variable neighbourhood search uses four different neighbourhood operators and can produce feasible solutions within short computation times.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116347677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Periodic Vehicle Routing Problem in a Health Unit 卫生单位的定期车辆路线问题
International Conference on Operations Research and Enterprise Systems Pub Date : 2019-11-18 DOI: 10.5220/0007392803840389
Filipe Alves, F. Alvelos, A. M. Rocha, A. Pereira, P. Leitão
{"title":"Periodic Vehicle Routing Problem in a Health Unit","authors":"Filipe Alves, F. Alvelos, A. M. Rocha, A. Pereira, P. Leitão","doi":"10.5220/0007392803840389","DOIUrl":"https://doi.org/10.5220/0007392803840389","url":null,"abstract":"In logistics of home health care services in the Health Units, the managers and nurses need to carry out the schedule and the vehicles routes for the provision of care at the patients’ homes. Currently, in Portugal, these services are increasingly used but the problem is still, usually, solved manually and without computational resources. The increased demand for home health care due to the boost of the elderly people number entails a high associated cost which, sometimes, does not guarantee the quality of the service. In this sense, the periodic vehicle routing problem is a generalization of the classical vehicle routing problem in which routes are determined for a time horizon of several days. In this work, it is provided a periodic vehicle routing problem applied in the Health Unit in Bragança. An integer linear programming formulation for the real database, allowed to solve the problem in an efficient and optimized way using the CPLEX R © software.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116581922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Multi-objective Approach to the Optimization of Home Care Visits Scheduling 家庭护理访视安排优化的多目标方法
International Conference on Operations Research and Enterprise Systems Pub Date : 2019-11-18 DOI: 10.5220/0007565704350442
Filipe Alves, Lino A. Costa, A. M. Rocha, A. Pereira, P. Leitão
{"title":"A Multi-objective Approach to the Optimization of Home Care Visits Scheduling","authors":"Filipe Alves, Lino A. Costa, A. M. Rocha, A. Pereira, P. Leitão","doi":"10.5220/0007565704350442","DOIUrl":"https://doi.org/10.5220/0007565704350442","url":null,"abstract":"Due to the increasing of life expectancy in the developed countries, the demand for home health care services is growing dramatically. Usually, home services are planned manually and lead to various optimization problems in their activities. In this sense, health units are confronted with appropriate scheduling which may contain multiple, often conflicting, objectives such as minimizing the costs related to the traveling distance while minimizing the traveling time. In order to analyze and discuss different trade-offs between these objectives, it is proposed a multi-objective approach to home health care scheduling in which the problem is solved using the Tchebycheff method and a Genetic algorithm. Different alternative solutions are presented to the decision maker that taking into account his/her preferences chooses the appropriate solution. A problem with real data from a home health care service is solved. The results highlight the importance of a multi-objective approach to optimize and support decision making in home health care services. Moreover, this approach provides efficient and good solutions in a reasonable time.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130503334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Workforce Modelling in Support of Rejuvenation Objectives 支持复兴目标的劳动力模型
International Conference on Operations Research and Enterprise Systems Pub Date : 2019-10-31 DOI: 10.5220/0007246700230029
Étienne Vincent
{"title":"Workforce Modelling in Support of Rejuvenation Objectives","authors":"Étienne Vincent","doi":"10.5220/0007246700230029","DOIUrl":"https://doi.org/10.5220/0007246700230029","url":null,"abstract":": This paper presents a method for measuring the effect of staffing policies toward objectives of workforce rejuvenation. It describes two deterministic models based on the application of rates of personnel flows to workforce segments. The first model works by solving a system of linear equations describing personnel flows to obtain the workforce’s age profile at equilibrium. The second model, by iterating through successive future years, determines the age profile that will result from the set personnel flows. The dynamic model is necessary to identify shorter term effects of staffing policies.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"484 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116192929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Primal Heuristic for the Linear Ordering Problem 线性排序问题的原始启发式
International Conference on Operations Research and Enterprise Systems Pub Date : 2019-02-19 DOI: 10.5220/0007406301510156
Ravi Agrawal, E. Iranmanesh, Ramesh Krishnamurti
{"title":"Primal Heuristic for the Linear Ordering Problem","authors":"Ravi Agrawal, E. Iranmanesh, Ramesh Krishnamurti","doi":"10.5220/0007406301510156","DOIUrl":"https://doi.org/10.5220/0007406301510156","url":null,"abstract":"In this paper, we propose a new primal heuristic for the Linear Ordering Problem (LOP) that generates an integer feasible solution from the solution to the LP relaxation at each node of the branch-and-bound search tree. The heuristic first finds a partition of the set of vertices S into an ordered pair of subsets {S1,S2} such that the difference between the weights of all arcs from S1 to S2 and the weights of all arcs from S2 to S1 is maximized. It then assumes that all vertices in S1 precede all vertices in S2 thus decomposing the original problem instance into subproblems of smaller size i.e. on subsets S1 and S2. It recursively does so until the subproblems can be solved quickly using an MIP solver. The solution to the original problem instance is then constructed by concatenating the solutions to the subproblems. The heuristic is used to propose integer feasible solutions for the branch-and-bound algorithm. We also devise an alternate node selection strategy based on the heuristic solutions where we select the node with the best heuristic solution. We report the results of our experiments with the heuristic and the node selection strategy based on the heuristic.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125277293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Improvements in the Current Brazil's Energy Dispatch Optimization: Load Forecast and Wind Power 当前巴西能源调度优化的改进:负荷预测和风力发电
International Conference on Operations Research and Enterprise Systems Pub Date : 2019-02-19 DOI: 10.5220/0007400103980405
Gheisa R. T. Esteves, P. Maçaira, F. C. Oliveira, G. Amador, R. Souza
{"title":"Improvements in the Current Brazil's Energy Dispatch Optimization: Load Forecast and Wind Power","authors":"Gheisa R. T. Esteves, P. Maçaira, F. C. Oliveira, G. Amador, R. Souza","doi":"10.5220/0007400103980405","DOIUrl":"https://doi.org/10.5220/0007400103980405","url":null,"abstract":"In the last years, Brazil has been passing through some significant changes into its electricity matrix, where natural gas, wind power and other renewables sources are increasing its share on power generation. Those on going changes represent a challenge to power generation dispatch, demanding improvements and major changes on its management and optimization, especially due to growing levels of wind power generation. From the power demand perspective, the use of too optimist power demand forecasts for energy planning and dispatch optimization purposes affects it directly. This article intends to address those two issues, as it proposes an alternative model to forecast electricity demand and conceives a procedure to integrate wind power generation on the power dispatch model currently used in Brazil. The article study the Brazilian Northeast region as it is where most of the wind power farms are located. Power demand forecasts are obtained via electricity consumption forecasts made using Autoregressive Distributed Lag – ADL models, considering macroeconomics perspectives to estimate it. To integrate wind power integration on the actual dispatch model, the Markov Chain Monte Carlo method – MCMC was used to simulate wind power generation and calculate the net power demand, which was considered in the dispatch model.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129781900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Simulation based Optimization Study for Optimum Sequencing of Precast Components Considering Supply Chain Risks 考虑供应链风险的预制件最优排序仿真优化研究
International Conference on Operations Research and Enterprise Systems Pub Date : 2019-02-19 DOI: 10.5220/0007373303300337
M. Yusuf, A. Karam, A. Eltawil
{"title":"A Simulation based Optimization Study for Optimum Sequencing of Precast Components Considering Supply Chain Risks","authors":"M. Yusuf, A. Karam, A. Eltawil","doi":"10.5220/0007373303300337","DOIUrl":"https://doi.org/10.5220/0007373303300337","url":null,"abstract":"Unquestionably, Precast Supply Chain (PSC) abounds with many risks distributed along its echelons. Despite that there is a wide consensus among the previous studies about the negative impact of these risks on the PSC performance, its effect on making operational decisions in precast plants such as scheduling of Precast Components (PCs) is still ambiguous. So, this study aims at exploring and quantifying the effect of considering PSC risks on the optimum PCs sequences. To accomplish this, different processes of the PSC with their associated risks are modelled via a discrete event simulation model. Then, the developed simulation model is linked with an optimizer to generate PCs sequences that achieve on-time delivery of PCs with minimum production costs. This optimization process is conducted twice, with and without considering supply chain risks. Interestingly, the optimum PCs sequences generated in both cases are totally different. More importantly, the optimized PCs sequences produced without considering risks may backfire and cause higher production and penalty costs if they are applied to a PSC exposed to risk. So, investing in making a reliable risk management plan of the PSC not only can cushion the risks impact but also can lead to better sequences of PCs.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131087213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Supply Chain Agility: Review of Situations 供应链敏捷性:情况回顾
International Conference on Operations Research and Enterprise Systems Pub Date : 2019-02-19 DOI: 10.5220/0007351602700276
S. Boubaker, Zied Jemaï, E. Sahin, Y. Dallery
{"title":"Supply Chain Agility: Review of Situations","authors":"S. Boubaker, Zied Jemaï, E. Sahin, Y. Dallery","doi":"10.5220/0007351602700276","DOIUrl":"https://doi.org/10.5220/0007351602700276","url":null,"abstract":"Supply chains are often exposed to internal and external disturbances, events and changes, i.e. situations that harm their performance and present a serious threat to their subsistence. Agility, which is often presented as the ability to cope rapidly and effectively with changes become a competitive advantage for supply chains and is of vital competence. Different Authors mentioned external pressures that motivate supply chains to acquire agile capabilities. However, a well-structured study of external and internal situations needing agility was not found. The aim of our study is to review the existing literature on supply chain agility to better understand this concept and propose an overview of situations requiring supply chain agility, based on academic and industrial work.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132166254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Project Portfolio Selection Considering Return-risk Evaluation and Multiple-Criteria Decision Analysis 考虑收益-风险评价与多准则决策分析的项目组合选择
International Conference on Operations Research and Enterprise Systems Pub Date : 2019-02-19 DOI: 10.5220/0007350802640269
G. Marcondes
{"title":"Project Portfolio Selection Considering Return-risk Evaluation and Multiple-Criteria Decision Analysis","authors":"G. Marcondes","doi":"10.5220/0007350802640269","DOIUrl":"https://doi.org/10.5220/0007350802640269","url":null,"abstract":"Companies often face a challenge when they need to select their projects for execution because the resources are not enough for all of them. For supporting decision, they need to employ some form of selecting the best portfolio to run. There are several proposals in the literature, many allowing an evaluation of efficiency between expected return and risk. However, these proposals indicate a list of efficient portfolios, but not the one best suited for execution. On the other hand, multi-criteria analysis methods allow a more specific indication, but they are difficult to be executed when the number of projects increases. This work seeks to cover this gap by proposing a selection method that combines the return-risk assessment using mean-Gini approach, complemented by the application of the multi-criteria decision method PROMETHEE II. The result is the objective indication of the best project portfolio to be executed by the company.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131871687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Multi-label Classification for the Generation of Sub-problems in Time-constrained Combinatorial Optimization 时间约束组合优化中子问题生成的多标签分类
International Conference on Operations Research and Enterprise Systems Pub Date : 2019-02-19 DOI: 10.5220/0007396601330141
Luca Mossina, E. Rachelson, D. Delahaye
{"title":"Multi-label Classification for the Generation of Sub-problems in Time-constrained Combinatorial Optimization","authors":"Luca Mossina, E. Rachelson, D. Delahaye","doi":"10.5220/0007396601330141","DOIUrl":"https://doi.org/10.5220/0007396601330141","url":null,"abstract":"his paper addresses the resolution of combinatorial optimization problems presenting some kind of recurrent structure, coupled with machine learning techniques. Stemming from the assumption that such recurrent problems are the realization of an unknown generative probabilistic model, data is collected from previous resolutions of such problems and used to train a supervised learning model for multi-label classification. This model is exploited to predict a subset of decision variables to be set heuristically to a certain reference value, thus becoming fixed parameters in the original problem. The remaining variables then form a smaller sub-problem whose solution, while not guaranteed to be optimal for the original problem, can be obtained faster, offering an advantageous tool for tackling time-sensitive tasks.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124478796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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