{"title":"Influence of reverse logistics on competitiveness, economic performance, ecological environment and society","authors":"T. Ivanova, R. Rogaczewski, I. Lutsenko","doi":"10.17270/j.log.2022.640","DOIUrl":"https://doi.org/10.17270/j.log.2022.640","url":null,"abstract":"","PeriodicalId":44682,"journal":{"name":"LogForum","volume":"310 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73460936","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}
{"title":"A bibliometric analysis of the application of social network analysis in supply chain management","authors":"C. Wang","doi":"10.17270/j.log.2022.676","DOIUrl":"https://doi.org/10.17270/j.log.2022.676","url":null,"abstract":"","PeriodicalId":44682,"journal":{"name":"LogForum","volume":"85 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80365256","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}
{"title":"Supporting of manufacturing system based on demand forecasting tool","authors":"Mariusz Kmiecik, Hawre Zangana","doi":"10.17270/j.log.2022.637","DOIUrl":"https://doi.org/10.17270/j.log.2022.637","url":null,"abstract":"","PeriodicalId":44682,"journal":{"name":"LogForum","volume":"1 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78415764","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}
Victoria Wolf, R. Dobrucka, R. Przekop, S. Haubold
. Background: As the terms innovation, innovation strategy and especially cooperative innovation strategy are owned and discussed by many business disciplines, they can have various definitions. But a defined innovation strategy is the first step to enable a generation of innovation in a constant way. There are different approaches how a strategy can be defined. One common approach of an innovation strategy which includes the idea of an exploratory and cooperative strategy is the Open Innovation method. It describes three possible cooperation archetypes of an organization and its environment. Caused by the increased importance of startups and their innovation approaches a transfer of the common Open Innovation approach to a cooperation between established organization and startups is the aim of this article and results in the description of the startup orientated cooperative innovation (SOCI) strategy. Methods: This article gives at first an introduction in the topic of innovation and innovation strategy and its different approaches. The Open Innovation approach is described and in a further step the transfer to the new framework of (SOCI) strategies is presented. Result: As a result, the paper presents a new framework for three archetypes of SOCI-strategies. Three archetypes of SOCI-strategies were identified, by relating the three archetypes of Open Innovation to cooperations between established companies and startups. The three SOCI-strategies are: Buy/rent a startup, spin-off and startup in coupled process. Conclusion: The SOCI framework can be seen as a helpful to categorized cooperations between established companies and startups in context of generation innovation and gives an overview which archetypes of startup cooperations are possible.
{"title":"COOPERATIVE INNOVATION STRATEGIES – REVIEW AND ANALYSIS","authors":"Victoria Wolf, R. Dobrucka, R. Przekop, S. Haubold","doi":"10.17270/j.log.2021.621","DOIUrl":"https://doi.org/10.17270/j.log.2021.621","url":null,"abstract":". Background: As the terms innovation, innovation strategy and especially cooperative innovation strategy are owned and discussed by many business disciplines, they can have various definitions. But a defined innovation strategy is the first step to enable a generation of innovation in a constant way. There are different approaches how a strategy can be defined. One common approach of an innovation strategy which includes the idea of an exploratory and cooperative strategy is the Open Innovation method. It describes three possible cooperation archetypes of an organization and its environment. Caused by the increased importance of startups and their innovation approaches a transfer of the common Open Innovation approach to a cooperation between established organization and startups is the aim of this article and results in the description of the startup orientated cooperative innovation (SOCI) strategy. Methods: This article gives at first an introduction in the topic of innovation and innovation strategy and its different approaches. The Open Innovation approach is described and in a further step the transfer to the new framework of (SOCI) strategies is presented. Result: As a result, the paper presents a new framework for three archetypes of SOCI-strategies. Three archetypes of SOCI-strategies were identified, by relating the three archetypes of Open Innovation to cooperations between established companies and startups. The three SOCI-strategies are: Buy/rent a startup, spin-off and startup in coupled process. Conclusion: The SOCI framework can be seen as a helpful to categorized cooperations between established companies and startups in context of generation innovation and gives an overview which archetypes of startup cooperations are possible.","PeriodicalId":44682,"journal":{"name":"LogForum","volume":"5 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80220350","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}
. Background: In this study, the food delivery problem faced by a food company is discussed. There are seven different regions where the company serves food and a certain number of customers in each region. The time of requesting food for each customer varies according to the shift situation. This type of problem is referred to as a vehicle routing problem with time windows in the literature and the main aim of the study is to minimize the total travel distance of the vehicles. The second aim is to determine which vehicle will follow which route in the region by using the least amount of vehicle according to the desired mealtime. Methods: In this study, genetic algorithm methodology is used for the solution of the problem. Metaheuristic algorithms are used for problems that contain multiple combinations and cannot be solved in a reasonable time. Thus in this study, a solution to this problem in a reasonable time is obtained by using the genetic algorithm method. The advantage of this method is to find the most appropriate solution by trying possible solutions with a certain number of populations. Results : Different population sizes are considered in the study. 1000 iterations are made for each population. According to the genetic algorithm results, the best result is obtained in the lowest population size. The total distance has been shortened by about 14% with this method. Besides, the number of vehicles in each region and which vehicle will serve to whom has also been determined. This study, which is a real-life application, has provided serious profitability to the food company even from this region alone. Besides, there have been improvements at different rates in each of the seven regions. Customers' ability to receive service at any time has maximized customer satisfaction and increased the ability to work in the long term. Conclusions: The method and results used in the study were positive for the food company. However, the metaheuristic algorithm used in this study does not guarantee an optimal result. Therefore, mathematical models or simulation models can be considered in terms of future studies. Besides, in addition to the time windows problem, the pickup problem can also be taken into account and different solution proposals can be developed.
{"title":"A logistic optimization for the vehicle routing problem through a case study in the food industry","authors":"M. E. Akpinar","doi":"10.17270/j.log.2021.604","DOIUrl":"https://doi.org/10.17270/j.log.2021.604","url":null,"abstract":". Background: In this study, the food delivery problem faced by a food company is discussed. There are seven different regions where the company serves food and a certain number of customers in each region. The time of requesting food for each customer varies according to the shift situation. This type of problem is referred to as a vehicle routing problem with time windows in the literature and the main aim of the study is to minimize the total travel distance of the vehicles. The second aim is to determine which vehicle will follow which route in the region by using the least amount of vehicle according to the desired mealtime. Methods: In this study, genetic algorithm methodology is used for the solution of the problem. Metaheuristic algorithms are used for problems that contain multiple combinations and cannot be solved in a reasonable time. Thus in this study, a solution to this problem in a reasonable time is obtained by using the genetic algorithm method. The advantage of this method is to find the most appropriate solution by trying possible solutions with a certain number of populations. Results : Different population sizes are considered in the study. 1000 iterations are made for each population. According to the genetic algorithm results, the best result is obtained in the lowest population size. The total distance has been shortened by about 14% with this method. Besides, the number of vehicles in each region and which vehicle will serve to whom has also been determined. This study, which is a real-life application, has provided serious profitability to the food company even from this region alone. Besides, there have been improvements at different rates in each of the seven regions. Customers' ability to receive service at any time has maximized customer satisfaction and increased the ability to work in the long term. Conclusions: The method and results used in the study were positive for the food company. However, the metaheuristic algorithm used in this study does not guarantee an optimal result. Therefore, mathematical models or simulation models can be considered in terms of future studies. Besides, in addition to the time windows problem, the pickup problem can also be taken into account and different solution proposals can be developed.","PeriodicalId":44682,"journal":{"name":"LogForum","volume":"31 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81758418","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}
. Background: Predictive analysis is a vital element to operations management as it facilitates real-time decision making and advanced planning on both strategy and performance. This paper identifies predictors to measure distribution performance in the dairy industry and to establish their importance. Methods: A distribution model is developed through exploratory structural equation modelling (SEM) techniques. The key performance predictors are marketing and distribution management, quality management, supply chain coordination, and brand management, which account for 71.5% of the variability in distribution performance. Results and conclusion : The predictors help improving the distribution performance, specifically in quality, order fill rate, and food safety. The outcomes of this research can help dairy professionals in managing their distribution channels, improving traceability, on-time delivery, and shipment accuracy. Consequently, these factors can improve distribution performance. Four predictors are elicited from the data to estimate the distribution performance and the relative importance of predictors is also established. analysis.
{"title":"Modelling the distribution performance in dairy industry: A predictive analysis","authors":"R. Mor, A. Bhardwaj, Sarbjit Singh, S. Khan","doi":"10.17270/j.log.2021.609","DOIUrl":"https://doi.org/10.17270/j.log.2021.609","url":null,"abstract":". Background: Predictive analysis is a vital element to operations management as it facilitates real-time decision making and advanced planning on both strategy and performance. This paper identifies predictors to measure distribution performance in the dairy industry and to establish their importance. Methods: A distribution model is developed through exploratory structural equation modelling (SEM) techniques. The key performance predictors are marketing and distribution management, quality management, supply chain coordination, and brand management, which account for 71.5% of the variability in distribution performance. Results and conclusion : The predictors help improving the distribution performance, specifically in quality, order fill rate, and food safety. The outcomes of this research can help dairy professionals in managing their distribution channels, improving traceability, on-time delivery, and shipment accuracy. Consequently, these factors can improve distribution performance. Four predictors are elicited from the data to estimate the distribution performance and the relative importance of predictors is also established. analysis.","PeriodicalId":44682,"journal":{"name":"LogForum","volume":"17 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73422553","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}
. Background : The ability to assess a situation is one of the key competences of companies operating on the market. One should know if one functions as well as their competitors, better or perhaps worse. In the case of the omnichannel concept, it is difficult to answer this question, since so far there has been no recognized standard for its evaluation. The aim of the article is to present the theory fundamentals of omnichannel measurement and evaluation in an indicator-based form. Methods: The theoretical part features a systematic literature review based on the Scopus abstract and citation database. In the research part, an original indicator-based omnichannel measurement and evaluation theory was presented. The idea was based on the following ideas: marketing mix, benchmarking, OTIFEF, AHP. Results: In the scientific literature, the dominant evaluation of omnichannel is based on financial measures, which, according to the author of this article, does not reflect the essence of the functioning of this concept. Therefore, the research part presents relational omnichannel indicators - individual (4) and aggregate (11) - based on non-financial measures. Conclusions: There are currently no reference omnichannel evaluation instruments. The creation and functioning of such a standard would allow to form objective opinions. The standardization of the omnichannel measurement would enable to perform comparative analyses, the results of which could be used to further improve trade and distribution processes in companies using this sales strategy. The research approach adopted in the article fits very well with the assumptions of the omnichannel concept. The proposed measurement and evaluation theory is simple and universal, and its application is not constrained by any limitations. It enables both individual and comparative evaluation.
{"title":"How to measure omnichannel? Marketing indicator-based approach – Theory fundamentals","authors":"R. Domański","doi":"10.17270/j.log.2021.610","DOIUrl":"https://doi.org/10.17270/j.log.2021.610","url":null,"abstract":". Background : The ability to assess a situation is one of the key competences of companies operating on the market. One should know if one functions as well as their competitors, better or perhaps worse. In the case of the omnichannel concept, it is difficult to answer this question, since so far there has been no recognized standard for its evaluation. The aim of the article is to present the theory fundamentals of omnichannel measurement and evaluation in an indicator-based form. Methods: The theoretical part features a systematic literature review based on the Scopus abstract and citation database. In the research part, an original indicator-based omnichannel measurement and evaluation theory was presented. The idea was based on the following ideas: marketing mix, benchmarking, OTIFEF, AHP. Results: In the scientific literature, the dominant evaluation of omnichannel is based on financial measures, which, according to the author of this article, does not reflect the essence of the functioning of this concept. Therefore, the research part presents relational omnichannel indicators - individual (4) and aggregate (11) - based on non-financial measures. Conclusions: There are currently no reference omnichannel evaluation instruments. The creation and functioning of such a standard would allow to form objective opinions. The standardization of the omnichannel measurement would enable to perform comparative analyses, the results of which could be used to further improve trade and distribution processes in companies using this sales strategy. The research approach adopted in the article fits very well with the assumptions of the omnichannel concept. The proposed measurement and evaluation theory is simple and universal, and its application is not constrained by any limitations. It enables both individual and comparative evaluation.","PeriodicalId":44682,"journal":{"name":"LogForum","volume":"16 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84420593","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}
. Background: This paper has the central aim to provide an analysis of increases of system complexity in the context of modern industrial information systems. An investigation and exploration of relevant theoretical frameworks is conducted and accumulates in the proposition of a set of hypotheses as an explanatory approach for a possible definition of system complexity based on information growth in industrial information systems. Several interconnected sources of technological information are investigated and explored in the given context in their functionality as information transferring agents, and their practical relevance is underlined by the application of the concepts of Big Data and cyber-physical, cyber-human and cyber-physical-cyber-human systems. Methods: A systematic review of relevant literature was conducted for this paper and in total 85 sources matching the scope of this article, in the form of academic journals and academic books of the mentioned academic fields, published between 2012 and 2019, were selected, individually read and reviewed by the authors and reduced by careful author selection to 17 key sources which served as the basis for theory synthesis. Results: Four hypotheses (H1-H4) concerning exponential surges of system complexity in industrial information systems are introduced. Furthermore, first foundational ideas for a possible approach to potentially describe, model and simulate complex industrial information systems based on network, agent-based approaches and the concept of Shannon entropy are introduced. Conclusion: Based on the introduced hypotheses it can be theoretically indicated that the amount information aggregated and transferred in a system can serve as an indicator for the development of system complexity and as a possible explanatory concept for the exponential surges of system complexity in industrial information systems.
{"title":"Hypotheses concerning complexity surges in modern and future industrial information systems","authors":"Lucas Freund, Salah Al-Majeed","doi":"10.17270/j.log.2021.592","DOIUrl":"https://doi.org/10.17270/j.log.2021.592","url":null,"abstract":". Background: This paper has the central aim to provide an analysis of increases of system complexity in the context of modern industrial information systems. An investigation and exploration of relevant theoretical frameworks is conducted and accumulates in the proposition of a set of hypotheses as an explanatory approach for a possible definition of system complexity based on information growth in industrial information systems. Several interconnected sources of technological information are investigated and explored in the given context in their functionality as information transferring agents, and their practical relevance is underlined by the application of the concepts of Big Data and cyber-physical, cyber-human and cyber-physical-cyber-human systems. Methods: A systematic review of relevant literature was conducted for this paper and in total 85 sources matching the scope of this article, in the form of academic journals and academic books of the mentioned academic fields, published between 2012 and 2019, were selected, individually read and reviewed by the authors and reduced by careful author selection to 17 key sources which served as the basis for theory synthesis. Results: Four hypotheses (H1-H4) concerning exponential surges of system complexity in industrial information systems are introduced. Furthermore, first foundational ideas for a possible approach to potentially describe, model and simulate complex industrial information systems based on network, agent-based approaches and the concept of Shannon entropy are introduced. Conclusion: Based on the introduced hypotheses it can be theoretically indicated that the amount information aggregated and transferred in a system can serve as an indicator for the development of system complexity and as a possible explanatory concept for the exponential surges of system complexity in industrial information systems.","PeriodicalId":44682,"journal":{"name":"LogForum","volume":"54 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84507302","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}
. Background: Along with the development of Industry 4.0, the concept of Logistics 4.0 is also developing in parallel. Some researchers emphasize that the fourth industrial revolution in the area of logistics concerns in particular warehouse services. New technologies related to automatic data identification and autonomous vehicles are increasingly appearing in warehouse processes. In particular, the implementation of autonomous vehicles in processes carried out so far by people generates significant challenges related to the proper preparation of the entire system, but also its coordination with processes carried out in the enterprise. The aim of the article is to present the results of the analysis of disturbances occurring in the first stage of the implementation of autonomous vehicles in the process of feeding material production lines in a surveyed company from the automotive industry. Methods: The article presents the implementation assumptions for the use of autonomous robots in the process of materials feeding. The scope of the required safety analyzes was presented as well as the time measurements carried out regarding the implementation of the process of servicing power supplies for assembly lines. The research used direct observations in the assessed enterprise and unstructured interviews with persons responsible for the implementation. Results: The results show the deviations from the adopted assumptions, both in the area of vehicle safety and the deviations in the time of material supply operations. It is worth noting that both positive and negative deviations from the adopted standard were recorded in the measurements. Based on the analyzes of the causes and effects of the deviations, guidelines have been developed for the changes to the functioning of autonomous vehicles. Conclusions: The results of the presented research allowed to identify potential adverse events that may occur in the process of implementing autonomous solutions in logistics service processes. The basic rules for the implementation of autonomous solutions in logistic operations, which are carried out in anthropotechnical systems, were also indicated.
{"title":"Challenges in the implementation of autonomous robots in the process of feeding materials on the production line as part of Logistics 4.0","authors":"A. Tubis, Honorata Poturaj","doi":"10.17270/j.log.2021.611","DOIUrl":"https://doi.org/10.17270/j.log.2021.611","url":null,"abstract":". Background: Along with the development of Industry 4.0, the concept of Logistics 4.0 is also developing in parallel. Some researchers emphasize that the fourth industrial revolution in the area of logistics concerns in particular warehouse services. New technologies related to automatic data identification and autonomous vehicles are increasingly appearing in warehouse processes. In particular, the implementation of autonomous vehicles in processes carried out so far by people generates significant challenges related to the proper preparation of the entire system, but also its coordination with processes carried out in the enterprise. The aim of the article is to present the results of the analysis of disturbances occurring in the first stage of the implementation of autonomous vehicles in the process of feeding material production lines in a surveyed company from the automotive industry. Methods: The article presents the implementation assumptions for the use of autonomous robots in the process of materials feeding. The scope of the required safety analyzes was presented as well as the time measurements carried out regarding the implementation of the process of servicing power supplies for assembly lines. The research used direct observations in the assessed enterprise and unstructured interviews with persons responsible for the implementation. Results: The results show the deviations from the adopted assumptions, both in the area of vehicle safety and the deviations in the time of material supply operations. It is worth noting that both positive and negative deviations from the adopted standard were recorded in the measurements. Based on the analyzes of the causes and effects of the deviations, guidelines have been developed for the changes to the functioning of autonomous vehicles. Conclusions: The results of the presented research allowed to identify potential adverse events that may occur in the process of implementing autonomous solutions in logistics service processes. The basic rules for the implementation of autonomous solutions in logistic operations, which are carried out in anthropotechnical systems, were also indicated.","PeriodicalId":44682,"journal":{"name":"LogForum","volume":"84 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84297835","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}
Background: The importance and market share of e-commerce has been increasing with the COVID-19 pandemic in recent days. Employees sometimes cannot go to the workplace due to epidemics such as COVID-19 that is spreading rapidly around the world, natural disasters and accidents. Companies can continue to serve their customers with the internet infrastructure and computer technologies they will provide to their employees. Thus, e-commerce companies can provide a sustainable competitive advantage in the sector. Working with the right suppliers is one of the important decisions that will improve the service quality of the firms and affect the sustainability of the enterprise. Methods: This study aims to select the best laptop for a company in the online trade industry using Entropy-based EDAS, CODAS and TOPSIS methods. In the study, 6 alternative laptops have been evaluated according to hard disk capacity, ram, battery power, processor speed, weight, price criteria. The Entropy method has been used to identify the weights of the criteria in the study. These criteria weights have been used in EDAS, CODAS and TOPSIS methods. TOPSIS, EDAS and CODAS methods have been used to determine the best alternative. Also, the correlation between the results of the TOPSIS, EDAS and CODAS methods has been examined with the Spearman Correlation approach. Results: As a result of the Entropy method, it has been determined that the most important criterion is the hard disk capacity criterion. TOPSIS, EDAS and CODAS method results have been compared and the most suitable alternative has been selected. According to the results of the study, the best alternative has been selected as A5. Spearman Correlation analysis results show that there was a strong positive relationship between the methods used and the results obtained. Conclusions: The study differs from existing studies in the literature in that it is the first study in which laptop selection was made using TOPSIS, EDAS and CODAS methods together. The results of this study can be compared with the results of future studies that will be carried out using different MCDM methods and different data.
{"title":"Equipment selection for an e-commerce company using Entropy-based TOPSIS, EDAS and CODAS methods during the COVID-19","authors":"Y. Ersoy","doi":"10.17270/j.Log.2021.603","DOIUrl":"https://doi.org/10.17270/j.Log.2021.603","url":null,"abstract":"Background: The importance and market share of e-commerce has been increasing with the COVID-19 pandemic in recent days. Employees sometimes cannot go to the workplace due to epidemics such as COVID-19 that is spreading rapidly around the world, natural disasters and accidents. Companies can continue to serve their customers with the internet infrastructure and computer technologies they will provide to their employees. Thus, e-commerce companies can provide a sustainable competitive advantage in the sector. Working with the right suppliers is one of the important decisions that will improve the service quality of the firms and affect the sustainability of the enterprise. Methods: This study aims to select the best laptop for a company in the online trade industry using Entropy-based EDAS, CODAS and TOPSIS methods. In the study, 6 alternative laptops have been evaluated according to hard disk capacity, ram, battery power, processor speed, weight, price criteria. The Entropy method has been used to identify the weights of the criteria in the study. These criteria weights have been used in EDAS, CODAS and TOPSIS methods. TOPSIS, EDAS and CODAS methods have been used to determine the best alternative. Also, the correlation between the results of the TOPSIS, EDAS and CODAS methods has been examined with the Spearman Correlation approach. Results: As a result of the Entropy method, it has been determined that the most important criterion is the hard disk capacity criterion. TOPSIS, EDAS and CODAS method results have been compared and the most suitable alternative has been selected. According to the results of the study, the best alternative has been selected as A5. Spearman Correlation analysis results show that there was a strong positive relationship between the methods used and the results obtained. Conclusions: The study differs from existing studies in the literature in that it is the first study in which laptop selection was made using TOPSIS, EDAS and CODAS methods together. The results of this study can be compared with the results of future studies that will be carried out using different MCDM methods and different data.","PeriodicalId":44682,"journal":{"name":"LogForum","volume":"76 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80998412","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：