Pub Date : 2022-10-15DOI: 10.31181/dmame0304052022b
Bipradas Bairagi
: Selection of the best robotic system considering subjective and objective factors is very imperative decision making procedure. This paper presents an extended TOPSIS based homogeneous group decision making algorithm for the selection of the best industrial robotic systems under fuzzy multiple criteria decision making (FMCDM) analysis. FPIS, FNIS, positive and negative separation measures, subjective factor measure, and objective factor measure and robot selection index are computed. A case study has been conducted and illustrated for better clarification and verification of proposed algorithm.
{"title":"A homogeneous group decision making for selection of robotic systems using extended TOPSIS under subjective and objective factors","authors":"Bipradas Bairagi","doi":"10.31181/dmame0304052022b","DOIUrl":"https://doi.org/10.31181/dmame0304052022b","url":null,"abstract":": Selection of the best robotic system considering subjective and objective factors is very imperative decision making procedure. This paper presents an extended TOPSIS based homogeneous group decision making algorithm for the selection of the best industrial robotic systems under fuzzy multiple criteria decision making (FMCDM) analysis. FPIS, FNIS, positive and negative separation measures, subjective factor measure, and objective factor measure and robot selection index are computed. A case study has been conducted and illustrated for better clarification and verification of proposed algorithm.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47992334","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 : 2022-10-15DOI: 10.31181/dmame181221030d
M. Das, Arindam Roy, Samir Maity, S. Kar, S. Sengupta
: Main motto of ship routing and scheduling is to reduce the total transportation cost of each ship or vessel without interrupting the demand and supply. In this study, we have proposed a ship routing and scheduling model for commercial ships where, to ensure unhindered demand and supply of products at various ports in a fixed time frame, the dynamic demand and supply of each port were considered under a fuzzy environment. Additionally, simultaneous loading and unloading and a fixed load factor is used to minimize port time and reduce risks, and this aspect of our work makes it realistically inclined. We also show, in our work, speed optimization to reduce fuel consumption and carbon emission. In practice, cost parameters cannot be always determined, it fluctuates at a certain range from time to time. We have treated the imprecise cost parameters as triangular fuzzy numbers. With a
{"title":"Solving fuzzy dynamic ship routing and scheduling problem through new genetic algorithm","authors":"M. Das, Arindam Roy, Samir Maity, S. Kar, S. Sengupta","doi":"10.31181/dmame181221030d","DOIUrl":"https://doi.org/10.31181/dmame181221030d","url":null,"abstract":": Main motto of ship routing and scheduling is to reduce the total transportation cost of each ship or vessel without interrupting the demand and supply. In this study, we have proposed a ship routing and scheduling model for commercial ships where, to ensure unhindered demand and supply of products at various ports in a fixed time frame, the dynamic demand and supply of each port were considered under a fuzzy environment. Additionally, simultaneous loading and unloading and a fixed load factor is used to minimize port time and reduce risks, and this aspect of our work makes it realistically inclined. We also show, in our work, speed optimization to reduce fuel consumption and carbon emission. In practice, cost parameters cannot be always determined, it fluctuates at a certain range from time to time. We have treated the imprecise cost parameters as triangular fuzzy numbers. With a","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41406328","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 : 2022-10-15DOI: 10.31181/dmame03051020224k
Saeid Kalantari, H. Kazemipoor, F. Sobhani, S. H. Molana
{"title":"A neutrosophical model for optimal sustainable closed-loop supply chain network with considering inflation and carbon emission policies","authors":"Saeid Kalantari, H. Kazemipoor, F. Sobhani, S. H. Molana","doi":"10.31181/dmame03051020224k","DOIUrl":"https://doi.org/10.31181/dmame03051020224k","url":null,"abstract":"","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45153122","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 : 2022-10-15DOI: 10.31181/dmame0305102022v
Eszter Lukács, Katalin Völgyi, Norbert Kovács, Árpád Tóth
{"title":"American versus domestic digital companies in the Chinese market","authors":"Eszter Lukács, Katalin Völgyi, Norbert Kovács, Árpád Tóth","doi":"10.31181/dmame0305102022v","DOIUrl":"https://doi.org/10.31181/dmame0305102022v","url":null,"abstract":"","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41498780","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 : 2022-10-15DOI: 10.31181/dmame0305102022d
Jeni Seles Martina Donbosco, Deepa Ganesan
: An approach to data processing for relational databases is called a rough set theory. It is an interesting area of uncertainty mathematics that is mainly related to fuzzy theory. Rough set theory and neutrosophic set theory can be joined to create a powerful tool for dealing with indeterminacy. Neutrosophic matrices help decision-makers deal with multi-criteria decision-making by providing them with more useful and practical when we apply the concept of matrix energy. In this paper, we defined a Rough neutrosophic matrix and its energy. Some propositions, lower and upper limits of the rough neutrosophic matrix's energy were derived. The proposed energy of the rough neutrosophic matrix was applied in multi-criteria decision-making problems. The problem is to select the best place for constructing the school building. Applying the energy method to the MCDM problem became more relatable and produced good results .
{"title":"The Energy of rough neutrosophic matrix and its application to MCDM problem for selecting the best building construction site","authors":"Jeni Seles Martina Donbosco, Deepa Ganesan","doi":"10.31181/dmame0305102022d","DOIUrl":"https://doi.org/10.31181/dmame0305102022d","url":null,"abstract":": An approach to data processing for relational databases is called a rough set theory. It is an interesting area of uncertainty mathematics that is mainly related to fuzzy theory. Rough set theory and neutrosophic set theory can be joined to create a powerful tool for dealing with indeterminacy. Neutrosophic matrices help decision-makers deal with multi-criteria decision-making by providing them with more useful and practical when we apply the concept of matrix energy. In this paper, we defined a Rough neutrosophic matrix and its energy. Some propositions, lower and upper limits of the rough neutrosophic matrix's energy were derived. The proposed energy of the rough neutrosophic matrix was applied in multi-criteria decision-making problems. The problem is to select the best place for constructing the school building. Applying the energy method to the MCDM problem became more relatable and produced good results .","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45129620","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 : 2022-04-15DOI: 10.31181/dmame0304042022p
D. Pamučar, Darko Božanić, A. Puška, Dragan Marinković
The paper presents a neuro-fuzzy system for evaluating and predicting the success of a construction company in public tenders. This model enables companies to operate sustainably by assessing their own position in the market. The model was based on data from a seven-year study, where data from the first six years were used to adjust the model, while data from the last year of the study were used for testing and validation. The neuro-fuzzy model was tuned using the Artificial Bee Colony algorithm.
{"title":"Application of neuro-fuzzy system for predicting the success of a company in public procurement","authors":"D. Pamučar, Darko Božanić, A. Puška, Dragan Marinković","doi":"10.31181/dmame0304042022p","DOIUrl":"https://doi.org/10.31181/dmame0304042022p","url":null,"abstract":"The paper presents a neuro-fuzzy system for evaluating and predicting the success of a construction company in public tenders. This model enables companies to operate sustainably by assessing their own position in the market. The model was based on data from a seven-year study, where data from the first six years were used to adjust the model, while data from the last year of the study were used for testing and validation. The neuro-fuzzy model was tuned using the Artificial Bee Colony algorithm.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41802609","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 : 2022-03-20DOI: 10.31181/dmame211221075g
Ramazan Eyüp Gergi̇n, Iskender Peker, A. Kısa
Selecting the best supplier emerges as a crucial subject for all sectors to achieve long term collaborations in supply chains. This study object to select the most suitable supplier for a company engage in activities in the automotive supply industry. For this purpose, a five-stage Intuitionistic Fuzzy Multi-Criteria Decision Making (IFMCDM) model is conducted. Firstly, decision criteria are defined by literature research and expert group opinions. Secondly, the importance weights of these criteria are obtained by IF Decision Making Trial and Evaluation Laboratory (IFDEMATEL). Followingly, the most suitable supplier is assessed by IF Technique for Order Preference by Similarity to Ideal Solution (IFTOPSIS). In the fourth stage, Sensitivity Analysis is utilized to analyze the effect of differentiation in criterion. Lastly, a comparative analysis is carried out. The results of the study has pointed that “Price” is the most important criterion in supplier selection and “Supplier 4” is the best alternative for this case. Main contribution of this study is to integrate IFDEMATEL-IFTOPSIS method for the first time in automotive supplier selection literature and propose a specific decision framework. In addition, proposed model is found robust and valid.
选择最佳供应商成为所有部门在供应链中实现长期合作的关键问题。本研究的目的是为一家从事汽车供应行业活动的公司选择最合适的供应商。为此，建立了一个五阶段直觉模糊多准则决策模型。首先，通过文献研究和专家组意见确定决策标准。其次，通过中频决策试验与评估实验室(IFDEMATEL)获得这些准则的重要权重。然后，利用IFTOPSIS (Order Preference by Similarity to Ideal Solution)评价最合适的供应商。第四阶段，采用敏感性分析方法，分析判据中分化的效果。最后，进行了对比分析。研究结果表明，“价格”是供应商选择的最重要标准，“供应商4”是本案例的最佳选择。本研究的主要贡献在于首次将IFDEMATEL-IFTOPSIS方法整合到汽车供应商选择文献中，并提出了具体的决策框架。此外，该模型具有良好的鲁棒性和有效性。
{"title":"Supplier selection by integrated IFDEMATEL-IFTOPSIS Method: A case study of automotive supply industry","authors":"Ramazan Eyüp Gergi̇n, Iskender Peker, A. Kısa","doi":"10.31181/dmame211221075g","DOIUrl":"https://doi.org/10.31181/dmame211221075g","url":null,"abstract":"Selecting the best supplier emerges as a crucial subject for all sectors to achieve long term collaborations in supply chains. This study object to select the most suitable supplier for a company engage in activities in the automotive supply industry. For this purpose, a five-stage Intuitionistic Fuzzy Multi-Criteria Decision Making (IFMCDM) model is conducted. Firstly, decision criteria are defined by literature research and expert group opinions. Secondly, the importance weights of these criteria are obtained by IF Decision Making Trial and Evaluation Laboratory (IFDEMATEL). Followingly, the most suitable supplier is assessed by IF Technique for Order Preference by Similarity to Ideal Solution (IFTOPSIS). In the fourth stage, Sensitivity Analysis is utilized to analyze the effect of differentiation in criterion. Lastly, a comparative analysis is carried out. The results of the study has pointed that “Price” is the most important criterion in supplier selection and “Supplier 4” is the best alternative for this case. Main contribution of this study is to integrate IFDEMATEL-IFTOPSIS method for the first time in automotive supplier selection literature and propose a specific decision framework. In addition, proposed model is found robust and valid.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44128238","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 : 2022-03-20DOI: 10.31181/dmame0313052022b
P. Bhattacharya, Kousik Bhattacharya, S. Kumar De
Over the last few years, sponge iron-based production transportation and pollution problems for major sponge iron producing countries are triggering a critical issue. The excess of marginal pollution from production industries and their disintegration takes drives towards the change of policymaking. The sustainable development of any country signifies the reduction of biohazards, which in turn improves the health index and livelihood status of people across the world. Keeping this in mind, a cost depreciation problem for the bi-layer integrated supply chain model has been built up. We consider the functional dependencies among all considerable decision variables like production rate, consumption rate which leads to the pollution rate of different countries exclusively. In this study, we have shown how production and rail freight transport relates to pollution. To draw several graphs and numerical computations we use MATLAB software and LINGO software via solution algorithm respectively. The comparative study has been presented using general fuzzy as well as cloudy fuzzy systems. Lastly, we have justified our proposed model using sensitivity analysis along with graphical interpretation.
{"title":"A study on pollution sensitive sponge iron based production transportation model under fuzzy environment","authors":"P. Bhattacharya, Kousik Bhattacharya, S. Kumar De","doi":"10.31181/dmame0313052022b","DOIUrl":"https://doi.org/10.31181/dmame0313052022b","url":null,"abstract":"Over the last few years, sponge iron-based production transportation and pollution problems for major sponge iron producing countries are triggering a critical issue. The excess of marginal pollution from production industries and their disintegration takes drives towards the change of policymaking. The sustainable development of any country signifies the reduction of biohazards, which in turn improves the health index and livelihood status of people across the world. Keeping this in mind, a cost depreciation problem for the bi-layer integrated supply chain model has been built up. We consider the functional dependencies among all considerable decision variables like production rate, consumption rate which leads to the pollution rate of different countries exclusively. In this study, we have shown how production and rail freight transport relates to pollution. To draw several graphs and numerical computations we use MATLAB software and LINGO software via solution algorithm respectively. The comparative study has been presented using general fuzzy as well as cloudy fuzzy systems. Lastly, we have justified our proposed model using sensitivity analysis along with graphical interpretation.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42709462","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 : 2022-03-20DOI: 10.31181/dmame0311022022t
Belkız Torğul, Enes Demiralay, T. Paksoy
Modern aviation has gained an important place in the transportation sector since the Montgolfier brothers designed the air balloon. Aircraft are fast becoming a key instrument in passenger and cargo transportation. The last two decades have seen a growing trend towards the use of aircraft as transportation tools. International aircraft companies report that new aircraft orders are increasing every year. However, there is a lack of routes because of the insufficient number of pilots. Therefore, the increase in usage of aircraft has been limited. To respond to this increase in Turkey, it indicates a rise in the number of flight academies. Flight academies have emerged as powerful and expensive platforms for flight training. In the new global economy, the aircraft selection problem has become a central issue for Flight Training Departments, which is planned to open in government universities. In this study, an approach based on the fuzzy BWM method is proposed to select more suitable training aircraft in government universities. Criterion weights and alternative aircraft rankings were determined using the fuzzy BWM method. Afterward, a mathematical model was developed to calculate how many aircraft we need to buy under certain constraints. Necmettin Erbakan University, which wants to train new and qualified pilots, needs training aircraft, which is the most critical factor, and trainers that can provide pilot training. A case study of training aircraft selection was conducted for the Necmettin Erbakan University Department of Flight Training.
{"title":"Training aircraft selection for department of flight training in fuzzy environment","authors":"Belkız Torğul, Enes Demiralay, T. Paksoy","doi":"10.31181/dmame0311022022t","DOIUrl":"https://doi.org/10.31181/dmame0311022022t","url":null,"abstract":"Modern aviation has gained an important place in the transportation sector since the Montgolfier brothers designed the air balloon. Aircraft are fast becoming a key instrument in passenger and cargo transportation. The last two decades have seen a growing trend towards the use of aircraft as transportation tools. International aircraft companies report that new aircraft orders are increasing every year. However, there is a lack of routes because of the insufficient number of pilots. Therefore, the increase in usage of aircraft has been limited. To respond to this increase in Turkey, it indicates a rise in the number of flight academies. Flight academies have emerged as powerful and expensive platforms for flight training. In the new global economy, the aircraft selection problem has become a central issue for Flight Training Departments, which is planned to open in government universities. In this study, an approach based on the fuzzy BWM method is proposed to select more suitable training aircraft in government universities. Criterion weights and alternative aircraft rankings were determined using the fuzzy BWM method. Afterward, a mathematical model was developed to calculate how many aircraft we need to buy under certain constraints. Necmettin Erbakan University, which wants to train new and qualified pilots, needs training aircraft, which is the most critical factor, and trainers that can provide pilot training. A case study of training aircraft selection was conducted for the Necmettin Erbakan University Department of Flight Training.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42641606","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 : 2022-03-20DOI: 10.31181/dmame211221090a
H. Arora, Anjali Naithani
Managers nowadays face challenging decisions on daily basis and must weigh a growing number of factors while making such decisions. Previously, such judgments were frequently assessed solely based on a single criterion, such as profit or cost. Cost or profit, on the other hand, rarely captures the desirability of a decision option. One of the most common and popular research domains in decision science theory is the multiple attribute decision making (MADM) problem. To deal with such issues, a variety of approaches have been presented including TOPSIS. The primary goal is to uncover the importance aspect of divergence measures based on exponential function under Pythagorean fuzzy sets (PFSs), proposed by Yager (2013) and its application to multi attribute decision making. Numerical computations have been carried out to validate our proposed measures. Moreover, comparison of the result for the proposed measures has been carried out to demonstrate the efficacy.
{"title":"Significance of TOPSIS approach to MADM in computing exponential divergence measures for pythagorean fuzzy sets","authors":"H. Arora, Anjali Naithani","doi":"10.31181/dmame211221090a","DOIUrl":"https://doi.org/10.31181/dmame211221090a","url":null,"abstract":"Managers nowadays face challenging decisions on daily basis and must weigh a growing number of factors while making such decisions. Previously, such judgments were frequently assessed solely based on a single criterion, such as profit or cost. Cost or profit, on the other hand, rarely captures the desirability of a decision option. One of the most common and popular research domains in decision science theory is the multiple attribute decision making (MADM) problem. To deal with such issues, a variety of approaches have been presented including TOPSIS. The primary goal is to uncover the importance aspect of divergence measures based on exponential function under Pythagorean fuzzy sets (PFSs), proposed by Yager (2013) and its application to multi attribute decision making. Numerical computations have been carried out to validate our proposed measures. Moreover, comparison of the result for the proposed measures has been carried out to demonstrate the efficacy.","PeriodicalId":32695,"journal":{"name":"Decision Making Applications in Management and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42781739","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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