Pub Date : 2022-12-15DOI: 10.31181/oresta0310220016d
Şerif Ahmet Demirdağ
: 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
{"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}
Pub Date : 2022-12-15DOI: 10.31181/oresta161122121b
S. Biswas, Gautam Bandyopadhyay, D. Pamučar, Neha Joshi
{"title":"A Multi-Criteria Based Stock Selection Framework in Emerging Market","authors":"S. Biswas, Gautam Bandyopadhyay, D. Pamučar, Neha Joshi","doi":"10.31181/oresta161122121b","DOIUrl":"https://doi.org/10.31181/oresta161122121b","url":null,"abstract":"","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":"46640470","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}
Pub Date : 2022-12-15DOI: 10.31181/oresta221122151h
Zahra Hassanzadeh, I. Mahdavi, A. Tajdin, H. Fazlollahtabar
: This paper aims at designing a sustainable logistics model with a heterogeneous collaboration approach. In this regard, we worked on a logistics system by transmitting raw materials to a factory and then sending various products to consumption centers. Accordingly, three logistics layers of supply, production, and consumption were designed and the parameters of collaboration within and between the logistics layers were evaluated. After that, as novelty of our paper, the interactions of sustainability indicators with the logistics network and their effects on the collaboration were analyzed through productivity. In this paper, we use two objectives includes minimizing the supply chain costs and maximizing the productivity of the collaboration parameter affecting the sustainability indicators at different levels. Finally, the developed mathematical model is solved and validated in GAMS optimization software to analyze the performance of the proposed approach using epsilon constraint method.
{"title":"Designing a Sustainable Logistics Model with a Heterogeneous Collaboration Approach","authors":"Zahra Hassanzadeh, I. Mahdavi, A. Tajdin, H. Fazlollahtabar","doi":"10.31181/oresta221122151h","DOIUrl":"https://doi.org/10.31181/oresta221122151h","url":null,"abstract":": This paper aims at designing a sustainable logistics model with a heterogeneous collaboration approach. In this regard, we worked on a logistics system by transmitting raw materials to a factory and then sending various products to consumption centers. Accordingly, three logistics layers of supply, production, and consumption were designed and the parameters of collaboration within and between the logistics layers were evaluated. After that, as novelty of our paper, the interactions of sustainability indicators with the logistics network and their effects on the collaboration were analyzed through productivity. In this paper, we use two objectives includes minimizing the supply chain costs and maximizing the productivity of the collaboration parameter affecting the sustainability indicators at different levels. Finally, the developed mathematical model is solved and validated in GAMS optimization software to analyze the performance of the proposed approach using epsilon constraint method.","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":"45731012","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}
Pub Date : 2022-12-15DOI: 10.31181/oresta031022031b
S. Broumi, D. Ajay, P. Chellamani, Lathamaheswari Malayalan, M. Talea, A. Bakali, Philippe Schweizer, S. Jafari
{"title":"Interval Valued Pentapartitioned Neutrosophic Graphs with an Application to MCDM","authors":"S. Broumi, D. Ajay, P. Chellamani, Lathamaheswari Malayalan, M. Talea, A. Bakali, Philippe Schweizer, S. Jafari","doi":"10.31181/oresta031022031b","DOIUrl":"https://doi.org/10.31181/oresta031022031b","url":null,"abstract":"","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":"48930113","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}
Pub Date : 2022-12-15DOI: 10.31181/oresta241122181y
M. Yazdani, Prasenjit Chatterjee, Željko Stević
{"title":"A Two-Stage Integrated Model for Supplier Selection and Order Allocation: An Application in Dairy Industry","authors":"M. Yazdani, Prasenjit Chatterjee, Željko Stević","doi":"10.31181/oresta241122181y","DOIUrl":"https://doi.org/10.31181/oresta241122181y","url":null,"abstract":"","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":"41745779","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}
Pub Date : 2022-12-15DOI: 10.31181/oresta121222211j
Sukho Jin, Jeong-Yeon Choi
{"title":"Optimal Load Scheduling of Home Appliances Considering Operation Conditions","authors":"Sukho Jin, Jeong-Yeon Choi","doi":"10.31181/oresta121222211j","DOIUrl":"https://doi.org/10.31181/oresta121222211j","url":null,"abstract":"","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":"44320219","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}
: 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.
{"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}
: 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
{"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}
Pub Date : 2022-12-15DOI: 10.31181/oresta051022061d
Duc Trung Do
{"title":"Application of FUCA Method for Multi-Criteria Decision Making in Mechanical Machining Processes","authors":"Duc Trung Do","doi":"10.31181/oresta051022061d","DOIUrl":"https://doi.org/10.31181/oresta051022061d","url":null,"abstract":"","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":"49181022","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}
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