Pub Date : 2023-11-06DOI: 10.24425/mper.2019.129564
Miklós Gubán, Richárd Kása, Dávid Takács, Mihai-Constantin Avornicului
Received: 11 October 2018 Abstract Accepted: 12 April 2019 The field of academic research on corporate sustainability management has gained significant sophistication since the economic growth has been associated with innovation. In this paper, we are to show our research project that aims to build an artificial intelligence-based neurofuzzy inference system to be able to approximate company’s innovation performance, thus the sustainability innovation potential. For this we used an empirical sample of Hungarian processing industry’s large companies and built an adaptive neuro fuzzy inference system.
{"title":"Trends of using artificial intelligence in measuring innovation potential","authors":"Miklós Gubán, Richárd Kása, Dávid Takács, Mihai-Constantin Avornicului","doi":"10.24425/mper.2019.129564","DOIUrl":"https://doi.org/10.24425/mper.2019.129564","url":null,"abstract":"Received: 11 October 2018 Abstract Accepted: 12 April 2019 The field of academic research on corporate sustainability management has gained significant sophistication since the economic growth has been associated with innovation. In this paper, we are to show our research project that aims to build an artificial intelligence-based neurofuzzy inference system to be able to approximate company’s innovation performance, thus the sustainability innovation potential. For this we used an empirical sample of Hungarian processing industry’s large companies and built an adaptive neuro fuzzy inference system.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68950759","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 : 2023-11-06DOI: 10.24425/mper.2019.130504
Shankar Chakraborty, Partha Protim Das
The application of artificial intelligence (AI) in modeling of various machining processes has been the topic of immense interest among the researchers since several years. In this direc-tion, the principle of fuzzy logic, a paradigm of AI technique, is effectively being utilized to predict various performance measures (responses) and control the parametric settings of those machining processes. This paper presents the application of fuzzy logic to model two non-traditional machining (NTM) processes, i.e. electrical discharge machining (EDM) and electrochemical machining (ECM) processes, while identifying the relationships present be- tween the process parameters and the measured responses. Moreover, the interaction plots which are developed based on the past experimental observations depict the effects of chang- ing values of different process parameters on the measured responses. The predicted response values derived from the developed models are observed to be in close agreement with those as investigated during the past experimental runs. The interaction plots also play signifi-cant roles in identifying the optimal parametric combinations so as to achieve the desired responses for the considered NTM processes.
{"title":"Fuzzy modeling and parametric analysis of non-traditional machining processes","authors":"Shankar Chakraborty, Partha Protim Das","doi":"10.24425/mper.2019.130504","DOIUrl":"https://doi.org/10.24425/mper.2019.130504","url":null,"abstract":"The application of artificial intelligence (AI) in modeling of various machining processes has been the topic of immense interest among the researchers since several years. In this direc-tion, the principle of fuzzy logic, a paradigm of AI technique, is effectively being utilized to predict various performance measures (responses) and control the parametric settings of those machining processes. This paper presents the application of fuzzy logic to model two non-traditional machining (NTM) processes, i.e. electrical discharge machining (EDM) and electrochemical machining (ECM) processes, while identifying the relationships present be- tween the process parameters and the measured responses. Moreover, the interaction plots which are developed based on the past experimental observations depict the effects of chang- ing values of different process parameters on the measured responses. The predicted response values derived from the developed models are observed to be in close agreement with those as investigated during the past experimental runs. The interaction plots also play signifi-cant roles in identifying the optimal parametric combinations so as to achieve the desired responses for the considered NTM processes.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"2004 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135635536","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 : 2023-11-06DOI: 10.24425/MPER.2019.128242
N. Minh, N. Nguyên, P. K. Cuong
Received: 5 August 2018 Abstract Accepted: 7 March 2019 Lean is one of the systematic approach to achieve higher value for organizations through eliminate non-value-added activities. It is an integrated set of tools, techniques, and principles designed to optimize cost, quality and delivery while improving safety. In Vietnam, industry waste management and treatment has become serious issue. The aim of this research is to present the effective of Lean application for industrial wastes collecting and delivery improvement. Through a case study, this paper showed the way of Lean tools and principles applied for wastes management and treatment such as Value Stream Mapping, Pull system, Visual Control, and Andon to get benefit on both economic and environment. In addition, the results introduced a good experience for enterprises in Vietnam and other countries have similar conditions to Vietnam in cost saving and sustainable development in waste management.
{"title":"Applying lean tools and principles to reduce cost of waste management: an empirical research in Vietnam","authors":"N. Minh, N. Nguyên, P. K. Cuong","doi":"10.24425/MPER.2019.128242","DOIUrl":"https://doi.org/10.24425/MPER.2019.128242","url":null,"abstract":"Received: 5 August 2018 Abstract Accepted: 7 March 2019 Lean is one of the systematic approach to achieve higher value for organizations through eliminate non-value-added activities. It is an integrated set of tools, techniques, and principles designed to optimize cost, quality and delivery while improving safety. In Vietnam, industry waste management and treatment has become serious issue. The aim of this research is to present the effective of Lean application for industrial wastes collecting and delivery improvement. Through a case study, this paper showed the way of Lean tools and principles applied for wastes management and treatment such as Value Stream Mapping, Pull system, Visual Control, and Andon to get benefit on both economic and environment. In addition, the results introduced a good experience for enterprises in Vietnam and other countries have similar conditions to Vietnam in cost saving and sustainable development in waste management.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68950431","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 : 2023-11-06DOI: 10.24425/MPER.2019.128248
M. Kowalski, P. Zawadzki
In the era of Industry 4.0, the automation of processes in the life cycle of a product seems to be a necessity. Although programming CNC machines with CAM systems make it possible, it is necessary to effectively acquire knowledge about the programming process and technological requirements for effective automation. The paper presents a method for decomposition of knowledge about the CNC machine programming process based on acquiring knowledge from various sources, both from technologists as well as on the basis of analysis of archival CNC control programs. To decompose the programming process, it is proposed to apply the knowledge model described by various attributes. Verification of the method is shown in the process of knowledge decomposition for manufacturing special production tooling.
{"title":"Decomposition of knowledge for automatic programming of CNC machines","authors":"M. Kowalski, P. Zawadzki","doi":"10.24425/MPER.2019.128248","DOIUrl":"https://doi.org/10.24425/MPER.2019.128248","url":null,"abstract":"In the era of Industry 4.0, the automation of processes in the life cycle of a product seems to be a necessity. Although programming CNC machines with CAM systems make it possible, it is necessary to effectively acquire knowledge about the programming process and technological requirements for effective automation. The paper presents a method for decomposition of knowledge about the CNC machine programming process based on acquiring knowledge from various sources, both from technologists as well as on the basis of analysis of archival CNC control programs. To decompose the programming process, it is proposed to apply the knowledge model described by various attributes. Verification of the method is shown in the process of knowledge decomposition for manufacturing special production tooling.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68950656","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 : 2023-11-06DOI: 10.24425/MPER.2019.128249
Paweł Chudziński, S. Cyfert
Received: 15 February 2019 Abstract Accepted: 7 March 2019 The dynamics of the processes taking place in an environment, which is rendered in the altered perception of the character of this environment, induces a need to find answers to the following questions: (1) How do managers perceive an environment in the dimensions of stability/ changeability and friendliness/unfriendliness? (2) Is there a correlation between the stability/changeability and friendliness/unfriendliness of an environment, i.e. if an environment is more stable, is it perceived as more friendly, and if an environment is more changeable is it perceived as unfriendly? (3) Does environmental stability/changeability as well as friendliness/unfriendliness exert any influence on organizational effectiveness? In an attempt to answer the above quoted questions, the article’s objective has been defined as a discussion on the interdependencies perceived by managers between an environment’s dimensions of stability/changeability and friendliness/unfriendliness (analysed in terms of institutional categories) and the organizational effectiveness of Polish enterprises. The managers evaluated the legal environment as the least stable. In their opinion, that milieu was also more intimidating than friendly. Concurrently, a technological environment was perceived by the respondents as the most stable and favourable. The results of the effected research allow forming a conclusion concerning the existing correlation between the friendliness and stability of particular categories of an environment, at the same time pointing out to the occurrence of correlations between stability/changeability and friendliness/unfriendliness of some categories of an environment and the organizational effectiveness of the examined enterprises.
{"title":"Organizational effectiveness of Polish enterprises in the context of changeability and unfriendliness of an environment","authors":"Paweł Chudziński, S. Cyfert","doi":"10.24425/MPER.2019.128249","DOIUrl":"https://doi.org/10.24425/MPER.2019.128249","url":null,"abstract":"Received: 15 February 2019 Abstract Accepted: 7 March 2019 The dynamics of the processes taking place in an environment, which is rendered in the altered perception of the character of this environment, induces a need to find answers to the following questions: (1) How do managers perceive an environment in the dimensions of stability/ changeability and friendliness/unfriendliness? (2) Is there a correlation between the stability/changeability and friendliness/unfriendliness of an environment, i.e. if an environment is more stable, is it perceived as more friendly, and if an environment is more changeable is it perceived as unfriendly? (3) Does environmental stability/changeability as well as friendliness/unfriendliness exert any influence on organizational effectiveness? In an attempt to answer the above quoted questions, the article’s objective has been defined as a discussion on the interdependencies perceived by managers between an environment’s dimensions of stability/changeability and friendliness/unfriendliness (analysed in terms of institutional categories) and the organizational effectiveness of Polish enterprises. The managers evaluated the legal environment as the least stable. In their opinion, that milieu was also more intimidating than friendly. Concurrently, a technological environment was perceived by the respondents as the most stable and favourable. The results of the effected research allow forming a conclusion concerning the existing correlation between the friendliness and stability of particular categories of an environment, at the same time pointing out to the occurrence of correlations between stability/changeability and friendliness/unfriendliness of some categories of an environment and the organizational effectiveness of the examined enterprises.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68950716","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 : 2023-11-06DOI: 10.24425/MPER.2019.129595
A. Hamrol, J. Gawlik, J. Sladek
Received: 6 April 2019 Abstract Accepted: 29 August 2019 The article presents tools, methods and systems used in mechanical engineering that in combination with information technologies create the grounds of Industry 4.0. The authors emphasize that mechanical engineering has always been the foundation of industrial activity, while information technology, the essential part of Industry 4.0, is its main source of innovation. The article discusses issues concerning product design, machining tools, machine tools and measurement systems.
{"title":"Mechanical engineering in industry 4.0","authors":"A. Hamrol, J. Gawlik, J. Sladek","doi":"10.24425/MPER.2019.129595","DOIUrl":"https://doi.org/10.24425/MPER.2019.129595","url":null,"abstract":"Received: 6 April 2019 Abstract Accepted: 29 August 2019 The article presents tools, methods and systems used in mechanical engineering that in combination with information technologies create the grounds of Industry 4.0. The authors emphasize that mechanical engineering has always been the foundation of industrial activity, while information technology, the essential part of Industry 4.0, is its main source of innovation. The article discusses issues concerning product design, machining tools, machine tools and measurement systems.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68951088","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 : 2023-11-06DOI: 10.24425/MPER.2019.131443
D. Prasad, S. Jayswal
Received: 19 July 2018 Abstract Accepted: 23 November 2019 Today’s manufacturing environment is highly uncertain, and it is continuously changing. It is characterized by shorter life cycles of products and technologies, shorter delivery times, an increased level of customization at the price of a standard product, increased product variety, quality as well as demand variability and intense global competition. Academicians, as well as practitioners, agree that uncertainty will continue to grow in the twenty-first century. To deal with the uncertainties in demand variation and production capacity a manufacturing system is required which can be easily reconfigured when there is a need at low cost. A reconfigurable manufacturing system is such a type of system. In the present work, the concept of the reconfigurable manufacturing system has been discussed and reviewed. It has been compared with dedicated systems and flexible manufacturing systems. Part family formation and barriers of reconfiguration also have been discussed. This work is an attempt to contribute to the conceptual systematization of the reconfigurable manufacturing system and reconfigurability by synthesizing the vast literature available after a systematic review.
{"title":"Reconfigurable Manufacturing System - a New Class of Manufacturing System","authors":"D. Prasad, S. Jayswal","doi":"10.24425/MPER.2019.131443","DOIUrl":"https://doi.org/10.24425/MPER.2019.131443","url":null,"abstract":"Received: 19 July 2018 Abstract Accepted: 23 November 2019 Today’s manufacturing environment is highly uncertain, and it is continuously changing. It is characterized by shorter life cycles of products and technologies, shorter delivery times, an increased level of customization at the price of a standard product, increased product variety, quality as well as demand variability and intense global competition. Academicians, as well as practitioners, agree that uncertainty will continue to grow in the twenty-first century. To deal with the uncertainties in demand variation and production capacity a manufacturing system is required which can be easily reconfigured when there is a need at low cost. A reconfigurable manufacturing system is such a type of system. In the present work, the concept of the reconfigurable manufacturing system has been discussed and reviewed. It has been compared with dedicated systems and flexible manufacturing systems. Part family formation and barriers of reconfiguration also have been discussed. This work is an attempt to contribute to the conceptual systematization of the reconfigurable manufacturing system and reconfigurability by synthesizing the vast literature available after a systematic review.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"812 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68951683","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 : 2023-11-06DOI: 10.24425/mper.2019.128244
Rupesh Kumar Tiwari, Jeetendra Kumar Tiwari
Indian SMEs are going to play pivotal role in transforming Indian economy and achieving double digit growth rate in near future. Performance of Indian SMEs is vital in making India as a most preferred manufacturing destination worldwide under India’s “Make in India Policy”. Current research was based on Indian automotive SMEs. Indian automotive SMEs must develop significant agile capability in order to remain competitive in highly uncertain global environment. One of the objectives of the research was to find various enablers of agility through literature survey. Thereafter questionnaire administered exploratory factor analysis was performed to extract various factors of agility relevant in Indian automotive SMEs environment. Multiple regression analysis was applied to assess the relative importance of these extracted factors. “Responsiveness” was the most important factor followed by “Ability to reconfigure”, “Ability to collaborate”, and “Competency”. Thereafter fuzzy logic bases algorithm was applied to assess the current level of agility of Indian automotive SMEs. It was found as “Slightly Agile”, which was the deviation from the targeted level of agility. Fuzzy ranking methodology facilitated the identification & criticalities of various barriers to agility, so that necessary measures can be taken to improve the current agility level of Indian automotive SMEs. The current research may helpful in finding; key enablers of agility, assessing the level of agility, and ranking of the various enablers of agility to point out the weak zone of agility so that subsequent corrective action may be taken in any industrial environment similar to India automotive SMEs.
{"title":"Measuring agility of indian automotive small & medium sized enterprises (SMEs)","authors":"Rupesh Kumar Tiwari, Jeetendra Kumar Tiwari","doi":"10.24425/mper.2019.128244","DOIUrl":"https://doi.org/10.24425/mper.2019.128244","url":null,"abstract":"Indian SMEs are going to play pivotal role in transforming Indian economy and achieving double digit growth rate in near future. Performance of Indian SMEs is vital in making India as a most preferred manufacturing destination worldwide under India’s “Make in India Policy”. Current research was based on Indian automotive SMEs. Indian automotive SMEs must develop significant agile capability in order to remain competitive in highly uncertain global environment. One of the objectives of the research was to find various enablers of agility through literature survey. Thereafter questionnaire administered exploratory factor analysis was performed to extract various factors of agility relevant in Indian automotive SMEs environment. Multiple regression analysis was applied to assess the relative importance of these extracted factors. “Responsiveness” was the most important factor followed by “Ability to reconfigure”, “Ability to collaborate”, and “Competency”. Thereafter fuzzy logic bases algorithm was applied to assess the current level of agility of Indian automotive SMEs. It was found as “Slightly Agile”, which was the deviation from the targeted level of agility. Fuzzy ranking methodology facilitated the identification & criticalities of various barriers to agility, so that necessary measures can be taken to improve the current agility level of Indian automotive SMEs. The current research may helpful in finding; key enablers of agility, assessing the level of agility, and ranking of the various enablers of agility to point out the weak zone of agility so that subsequent corrective action may be taken in any industrial environment similar to India automotive SMEs.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"20 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135634559","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 : 2023-11-06DOI: 10.24425/mper.2019.130505
Krzysztof Łukaszewicz
This paper is a case study conducted to present an approach to the process of designing new products using virtual prototyping. During the first stage of research a digital geometric model of the vehicle was created. Secondly it underwent a series of tests utilising the multibody system method in order to determine the forces and displacements in selected construction nodes of the vehicle during its movement on an uneven surface. In consequence the most dangerous case of loads was identified. The obtained results were used to conduct detailed strength testing of the bicycle frame and changes its geometry. For the purposes of this case study two FEA software environments (Inventor and SolidWorks) were used. It has been confirmed that using method allows to implement the process of creating a new product more effectively as well as to assess the influence of the conditions of its usage more efficiently. It was stated that using of different software environments increases the complex- ity of the technical process of production preparation but at the same time increases the certainty of prototype testing. The presented example of simulation calculations made for the bicycle can be considered as a useful method for calculating other prototypes with high complexity of construction due to its systematized character of chosen conditions and test- ing procedure. It allows to verify the correctness of construction, functionality and perform many analyses, which can contribute to the elimination of possible errors as early as at the construction stage.
{"title":"Testing virtual prototype of a new product in two simulation environments","authors":"Krzysztof Łukaszewicz","doi":"10.24425/mper.2019.130505","DOIUrl":"https://doi.org/10.24425/mper.2019.130505","url":null,"abstract":"This paper is a case study conducted to present an approach to the process of designing new products using virtual prototyping. During the first stage of research a digital geometric model of the vehicle was created. Secondly it underwent a series of tests utilising the multibody system method in order to determine the forces and displacements in selected construction nodes of the vehicle during its movement on an uneven surface. In consequence the most dangerous case of loads was identified. The obtained results were used to conduct detailed strength testing of the bicycle frame and changes its geometry. For the purposes of this case study two FEA software environments (Inventor and SolidWorks) were used. It has been confirmed that using method allows to implement the process of creating a new product more effectively as well as to assess the influence of the conditions of its usage more efficiently. It was stated that using of different software environments increases the complex- ity of the technical process of production preparation but at the same time increases the certainty of prototype testing. The presented example of simulation calculations made for the bicycle can be considered as a useful method for calculating other prototypes with high complexity of construction due to its systematized character of chosen conditions and test- ing procedure. It allows to verify the correctness of construction, functionality and perform many analyses, which can contribute to the elimination of possible errors as early as at the construction stage.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"2016 33","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135635753","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 : 2023-11-06DOI: 10.24425/mper.2019.129598
Zuzana Soltysova, Pavol Semanco, Jan Modrak
This paper explores selected heuristics methods, namely CDS, Palmer’s slope index, Gupta’s algorithm, and concurrent heuristic algorithm for minimizing the makespan in permutation flow shop scheduling problem. Its main scope is to explore how different instances sizes impact on performance variability. The computational experiment includes 12 of available benchmark data sets of 10 problems proposed by Taillard. The results are computed and presented in the form of relative percentage deviation, while outputs of the NEH algorithm were used as reference solutions for comparison purposes. Finally, pertinent findings are commented.
{"title":"Exploring heuristic techniques for flow shop scheduling","authors":"Zuzana Soltysova, Pavol Semanco, Jan Modrak","doi":"10.24425/mper.2019.129598","DOIUrl":"https://doi.org/10.24425/mper.2019.129598","url":null,"abstract":"This paper explores selected heuristics methods, namely CDS, Palmer’s slope index, Gupta’s algorithm, and concurrent heuristic algorithm for minimizing the makespan in permutation flow shop scheduling problem. Its main scope is to explore how different instances sizes impact on performance variability. The computational experiment includes 12 of available benchmark data sets of 10 problems proposed by Taillard. The results are computed and presented in the form of relative percentage deviation, while outputs of the NEH algorithm were used as reference solutions for comparison purposes. Finally, pertinent findings are commented.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"2010 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135636495","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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