Operational Research in Engineering Sciences: Theory and Applications最新文献

Ranking the Recreational Leadership Factors in the Behavioral Dimension and Selection of the Most Ideal Organizational Citizenship Model 休闲领导因素在行为维度的排名与最理想组织公民模型的选择

Operational Research in Engineering Sciences: Theory and Applications Pub Date : 2022-12-15 DOI: 10.31181/oresta0310220016d

Şerif Ahmet Demirdağ

{"title":"Ranking the Recreational Leadership Factors in the Behavioral Dimension and Selection of the Most Ideal Organizational Citizenship Model","authors":"Şerif Ahmet Demirdağ","doi":"10.31181/oresta0310220016d","DOIUrl":"https://doi.org/10.31181/oresta0310220016d","url":null,"abstract":": The concepts of management and organization are concepts that have existed throughout human history and are necessary for regular human life. Since people live in groups, management is needed to ensure the order of these groups, to establish a hierarchical structure, and to achieve goals and objectives. In order for these groups to reach their goals and objectives, someone (from within the group or outside of the group) needs to take a managing and guiding role. It is possible to state that these guides are leaders who can gather people around certain goals and objectives with their own beliefs and opinions, rather than being appointed by someone, who can influence and mobilize them. Therefore, the concept of leadership also emerges as a phenomenon that has existed in every period of history. For this reason, leadership styles and behaviors are important issues that need to be focused on, regardless of any field such as production, management, marketing, tourism, engineering. In this study, it is aimed to rank the recreational leadership factors of tourist guides in behavioral dimension according to their importance and to determine the most ideal organizational citizenship behavior model at this point. According to the results of the study, in which Entropy and Grey Incidence Analysis (GIA) methods were used, it was determined that the most important criterion in behavioral recreational leadership factors was “paternalistic leadership”, and the most ideal organizational citizenship model alternative criterion was \"altruism\". Therefore, it can be said that it would be more beneficial for the tourist guides, who constitute the sample group of the study, to exhibit leadership behavior at the paternalistic level and organizational citizenship behavior in the altruism dimension","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41697153","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: 0

A Multi-Criteria Based Stock Selection Framework in Emerging Market 基于多准则的新兴市场股票选择框架

Operational Research in Engineering Sciences: Theory and Applications Pub Date : 2022-12-15 DOI: 10.31181/oresta161122121b

S. Biswas, Gautam Bandyopadhyay, D. Pamučar, Neha Joshi

引用次数: 8

Designing a Sustainable Logistics Model with a Heterogeneous Collaboration Approach 基于异构协作方法的可持续物流模型设计

Operational Research in Engineering Sciences: Theory and Applications Pub Date : 2022-12-15 DOI: 10.31181/oresta221122151h

Zahra Hassanzadeh, I. Mahdavi, A. Tajdin, H. Fazlollahtabar

引用次数: 0

Interval Valued Pentapartitioned Neutrosophic Graphs with an Application to MCDM 区间值五分区Neutrosophic图及其在MCDM中的应用

Operational Research in Engineering Sciences: Theory and Applications Pub Date : 2022-12-15 DOI: 10.31181/oresta031022031b

S. Broumi, D. Ajay, P. Chellamani, Lathamaheswari Malayalan, M. Talea, A. Bakali, Philippe Schweizer, S. Jafari

引用次数: 5

A Two-Stage Integrated Model for Supplier Selection and Order Allocation: An Application in Dairy Industry 供应商选择与订单分配的两阶段集成模型:在乳制品行业中的应用

Operational Research in Engineering Sciences: Theory and Applications Pub Date : 2022-12-15 DOI: 10.31181/oresta241122181y

M. Yazdani, Prasenjit Chatterjee, Željko Stević

引用次数: 1

Optimal Load Scheduling of Home Appliances Considering Operation Conditions 考虑运行条件的家用电器最优负荷调度

Operational Research in Engineering Sciences: Theory and Applications Pub Date : 2022-12-15 DOI: 10.31181/oresta121222211j

Sukho Jin, Jeong-Yeon Choi

引用次数: 0

Simulation of Job Sequencing for Stochastic Scheduling with a Genetic Algorithm 基于遗传算法的随机调度作业排序仿真

Operational Research in Engineering Sciences: Theory and Applications Pub Date : 2022-12-15 DOI: 10.31181/060722075b

Prasad Bari, P. Karande, Jayston Menezes

{"title":"Simulation of Job Sequencing for Stochastic Scheduling with a Genetic Algorithm","authors":"Prasad Bari, P. Karande, Jayston Menezes","doi":"10.31181/060722075b","DOIUrl":"https://doi.org/10.31181/060722075b","url":null,"abstract":": Sequencing is done to determine the order in which the jobs are to be processed. Extensive research has been carried out with an aim to tackle real-world scheduling problems. In industries, experimentation is performed before an ultimate choice is made to know the optimal priority sequencing rule. Therefore, an extensive approach to selecting the correct choice is necessary for the management decision-making perspective. In this research, the genetic algorithm (GA) and working of a simulation environment are explained, in which a scheduling operator, under any given circumstances, can obtain the appropriate sequence for job scheduling in a shop. The paper also explains the stochastic based linguistic, scenarios and probabilistic approaches to solve sequencing problem. The simulation environment allows the operator to select the tardiness and non-tardiness related performance measures. The simulator takes input values such as number of jobs, processing time and due date and discovers a near-optimal sequence for scheduling of jobs that minimizes the performance measures selected by the operator as per requirement. The case study considered is solved using scenarios based stochastic scheduling approach and results are shown. The results are compared with the classical method used in the company and observed that the proposed approach gives a better result.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42451662","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: 0

Non-Pharmaceutical Intervention Strategies to Respond to the COVID-19 Pandemic: Preference Ranking Method 应对COVID-19大流行的非药物干预策略:偏好排序法

Operational Research in Engineering Sciences: Theory and Applications Pub Date : 2022-12-15 DOI: 10.31181/oresta051022076a

L. Abdullah, Harish Garg, N. A. Awang, Herrini Mohd Pauzi, H. Hashim

{"title":"Non-Pharmaceutical Intervention Strategies to Respond to the COVID-19 Pandemic: Preference Ranking Method","authors":"L. Abdullah, Harish Garg, N. A. Awang, Herrini Mohd Pauzi, H. Hashim","doi":"10.31181/oresta051022076a","DOIUrl":"https://doi.org/10.31181/oresta051022076a","url":null,"abstract":"One of the hot topics of discussion today is coronavirus disease 2019 (COVID-19). The disease is easily transmitted from one person to another person. However, there are no specific drugs that can alleviate the disease thus non-pharmaceutical intervention strategies is a good option. This paper aims to apply the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method to outrank the intervention strategies. A case study is presented where five experts were invited to rate ten alternatives and ten criteria using linguistic scales. Spreadsheet software and PROMETHEE-GAIA software were employed to establish outranking results and to provide evidence on the vigorousness of the outranking results. The final outranking indicates that the most and the least preferred intervention strategies are alternative A1 (lockdown/quarantine) and alternative A10 (Practice of hand hygiene) respectively. The outranking results are further analyzed with distribution analysis and weights sensitivity analysis where these analyses provide evidence on the vigorous of the outranking results. It is found that these analyses confirm the position of A1 as the most preferred intervention strategy to curtail the COVID-19 transmissions. The findings would be beneficial for public health authorities to deal with multiple challenges to curb the spread of COVID-19. © 2022 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41666403","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

Optimization of Wear Parameters for Duplex-TiAlN Coated MDC-K Tool Steel Using Fuzzy MCDM Techniques 基于模糊MCDM技术的双相aln涂层MDC-K工具钢磨损参数优化

Operational Research in Engineering Sciences: Theory and Applications Pub Date : 2022-12-15 DOI: 10.31181/110722105k

Sunil Kumar, S. Maity, Lokeswar Patnaik

{"title":"Optimization of Wear Parameters for Duplex-TiAlN Coated MDC-K Tool Steel Using Fuzzy MCDM Techniques","authors":"Sunil Kumar, S. Maity, Lokeswar Patnaik","doi":"10.31181/110722105k","DOIUrl":"https://doi.org/10.31181/110722105k","url":null,"abstract":": The present work evaluates the effects of different tribological process parameters on the measured responses such as hardness, coefficient of friction, surface roughness, wear mass loss and wear depth of duplex-TiAlN coated MDC-K tool steel material. The considered tribological process parameters are load, sliding velocity, and sliding distance. A full factorial design with 27 experimental runs is employed and based on the response values, an optimal combination of the tribological process parameters is subsequently determined. Different multi-objective optimization techniques, like overall evaluation criteria and fuzzy-based multi-criteria decision-making methods (fuzzy evaluation based on distance from the average solution, fuzzy technique for order of preference by similarity to ideal solution, and fuzzy complex proportional assessment) are utilized to identify the optimal intermixes of the considered tribological process parameters. Sensitivity analysis with respect to changing weights of the responses is performed to validate the derived rankings of the trials, whereas the results of analysis of variance revealed the most significant parameters were influencing the responses. In addition to this, two different published problems related to optimization of wear parameters were solved using the proposed method to check its capability","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44884590","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: 11

Application of FUCA Method for Multi-Criteria Decision Making in Mechanical Machining Processes FUCA方法在机械加工过程多准则决策中的应用

Operational Research in Engineering Sciences: Theory and Applications Pub Date : 2022-12-15 DOI: 10.31181/oresta051022061d

Duc Trung Do

引用次数: 9