M. Rabbani, S. B. Behbahan, H. Farrokhi-asl, M. Esmizadeh
Goals: We present a multi-objective mathematical model to determine the optimum production sequence of the mixed-model assembly line (MMAL). Maximizing customer satisfaction and minimizing costs are the objectives of the problem. Design / Methodology / Approach: Customers are divided into two clusters of high priority and low priority by k-medoids method. Also, to get closer to the real world, heterogeneous workers are considered. As the actual scale of the problem cannot be solved by an exact method, two metaheuristic algorithms, namely Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Non-Dominated Sorting Genetic Algorithm II (NSGA-II) are proposed to solve the problem and reach approximate and efficient results in large scale. Results: It observes that this model can plan the customers' orders by considering their satisfaction. Also, comparing the results of these algorithms indicates a slight superiority of the SPEA2 method. Limitations of the investigation: This study is mainly limited by clustering criteria. In the future, more criteria can be considered for analyzing customer behavior and expanding customer clusters. Practical implications: This model can help all manufacturers who use MMAL by providing a Pareto front for deciding between costs and customers' satisfaction. Originality / Value: Applying k-medoids to cluster the customers for better orders management and proposing SPEA2 and NSGA-II for solving the problem are the main novelties of this study.
{"title":"A developed framework for sequencing of mixed- model assembly line with customer's satisfaction and heterogeneous workers","authors":"M. Rabbani, S. B. Behbahan, H. Farrokhi-asl, M. Esmizadeh","doi":"10.14488/bjopm.2020.027","DOIUrl":"https://doi.org/10.14488/bjopm.2020.027","url":null,"abstract":"Goals: We present a multi-objective mathematical model to determine the optimum production sequence of the mixed-model assembly line (MMAL). Maximizing customer satisfaction and minimizing costs are the objectives of the problem. Design / Methodology / Approach: Customers are divided into two clusters of high priority and low priority by k-medoids method. Also, to get closer to the real world, heterogeneous workers are considered. As the actual scale of the problem cannot be solved by an exact method, two metaheuristic algorithms, namely Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Non-Dominated Sorting Genetic Algorithm II (NSGA-II) are proposed to solve the problem and reach approximate and efficient results in large scale. Results: It observes that this model can plan the customers' orders by considering their satisfaction. Also, comparing the results of these algorithms indicates a slight superiority of the SPEA2 method. Limitations of the investigation: This study is mainly limited by clustering criteria. In the future, more criteria can be considered for analyzing customer behavior and expanding customer clusters. Practical implications: This model can help all manufacturers who use MMAL by providing a Pareto front for deciding between costs and customers' satisfaction. Originality / Value: Applying k-medoids to cluster the customers for better orders management and proposing SPEA2 and NSGA-II for solving the problem are the main novelties of this study.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"125 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87716519","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}
Goal: the main objective of this research paper is to select the best laptop model among 6 models actually available in the market by applying multiple criteria decision making methodology (MCDM) on the basis of a physical market survey and opinions of 100 people specially consists of students. Since, choosing an appropriate laptop model among thousands of different available models is quite a challenging task for the students. Design / Methodology / Approach: for this present analysis, a combined approach of analytic hierarchy process (AHP) and weighted product model (WPM) is developed. Where, AHP is used to calculate the criteria weightages and WPM is used to choose the best option and to rank the alternatives. The selection process is done based on the following seven important criteria of the laptop i.e. processor, hard disk capacity, operating system, RAM, screen size, brand, color. Results: The final outcome result shows that Model 5 is the best choice among these 6 models followed by Model 3 and Model 2 whereas model 4 is the worst one among them. The specifications of the best laptop model 5 among this group are having I5 processor, 1TB hard disk capacity, windows operating system, 8GB RAM, 15.6-inch display, HP brand and color silver. Limitations of the investigation: Since the weightages calculation and the final ranking mainly depends on the structure of the pair-wise comparison matrix and the decision matrix, so the final results may vary based on the opinion of the other decision maker. Moreover, if the same problem is solved by applying other MCDM tools, the final output results may or may not be same. Practical implications: From this present research work, students who are willing to buy a laptop can get a general guideline about the best laptop model and their specifications in the present market. Moreover, the laptop manufacturing companies can also get some ideas about the present market scenario since this analysis is based on the actual market survey which can help to frame their future strategies. Originality / Value: Although, many literatures have been recorded related to the applications of MCDM tools in solving different decision making problems in different areas but very limited research work have been done in solving our daily life decision problems by applying MCDM.
{"title":"A comprehensive study of Weighted Product Model for selecting the best laptop model available in the market","authors":"Shankha Shubhra Goswami, D. Behera, S. Mitra","doi":"10.14488/bjopm.2020.017","DOIUrl":"https://doi.org/10.14488/bjopm.2020.017","url":null,"abstract":"Goal: the main objective of this research paper is to select the best laptop model among 6 models actually available in the market by applying multiple criteria decision making methodology (MCDM) on the basis of a physical market survey and opinions of 100 people specially consists of students. Since, choosing an appropriate laptop model among thousands of different available models is quite a challenging task for the students. Design / Methodology / Approach: for this present analysis, a combined approach of analytic hierarchy process (AHP) and weighted product model (WPM) is developed. Where, AHP is used to calculate the criteria weightages and WPM is used to choose the best option and to rank the alternatives. The selection process is done based on the following seven important criteria of the laptop i.e. processor, hard disk capacity, operating system, RAM, screen size, brand, color. Results: The final outcome result shows that Model 5 is the best choice among these 6 models followed by Model 3 and Model 2 whereas model 4 is the worst one among them. The specifications of the best laptop model 5 among this group are having I5 processor, 1TB hard disk capacity, windows operating system, 8GB RAM, 15.6-inch display, HP brand and color silver. Limitations of the investigation: Since the weightages calculation and the final ranking mainly depends on the structure of the pair-wise comparison matrix and the decision matrix, so the final results may vary based on the opinion of the other decision maker. Moreover, if the same problem is solved by applying other MCDM tools, the final output results may or may not be same. Practical implications: From this present research work, students who are willing to buy a laptop can get a general guideline about the best laptop model and their specifications in the present market. Moreover, the laptop manufacturing companies can also get some ideas about the present market scenario since this analysis is based on the actual market survey which can help to frame their future strategies. Originality / Value: Although, many literatures have been recorded related to the applications of MCDM tools in solving different decision making problems in different areas but very limited research work have been done in solving our daily life decision problems by applying MCDM.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"13 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78512987","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}
Goal: The main objective is to identify the factors that influence the retention of social volunteers in the health area, supported by a comparison between a systematic literature review and the perception of a focus group of volunteers. Design / Methodology / Approach: Word maps have been developed to compare data obtained from the literature review and the perceptions acquired in a focus group. Results: the main findings of the research indicate that the factors that influence the retention of social volunteers in the health area need a more comprehensive and systematic investigation, avoiding that any subject or dimension of analysis is not addressed when trying to evaluate the reasons that influence the permanence in volunteer programs. It was also possible to detect some subjective contexts that may influence the volunteers' behavior and decisions. Limitations of the investigation: The main limitation of the study is the difficulty in generalizing the findings, considering the use of the focus group, which, because it represents a small number of individuals, may not reproduce common sense. Practical implications: This study seeks to collaborate with future research using a methodology that allows us to evaluate whether what has been questioned in research instruments is close to the reality presented by the context. Originality / Value: The novelty concerns in the use of world maps to compare the perceptions of the literature findings with the results of a focus group analysis. This paper seeks to contribute to a new look on the qualitative treatment approach of data obtained in research in this area.
{"title":"Factors that influence the retention of social volunteers in the health area: a comparison between the literature and the perception of volunteers","authors":"Raquel Pavan Braz, G. B. A. Lima","doi":"10.14488/bjopm.2020.021","DOIUrl":"https://doi.org/10.14488/bjopm.2020.021","url":null,"abstract":"Goal: The main objective is to identify the factors that influence the retention of social volunteers in the health area, supported by a comparison between a systematic literature review and the perception of a focus group of volunteers. Design / Methodology / Approach: Word maps have been developed to compare data obtained from the literature review and the perceptions acquired in a focus group. Results: the main findings of the research indicate that the factors that influence the retention of social volunteers in the health area need a more comprehensive and systematic investigation, avoiding that any subject or dimension of analysis is not addressed when trying to evaluate the reasons that influence the permanence in volunteer programs. It was also possible to detect some subjective contexts that may influence the volunteers' behavior and decisions. Limitations of the investigation: The main limitation of the study is the difficulty in generalizing the findings, considering the use of the focus group, which, because it represents a small number of individuals, may not reproduce common sense. Practical implications: This study seeks to collaborate with future research using a methodology that allows us to evaluate whether what has been questioned in research instruments is close to the reality presented by the context. Originality / Value: The novelty concerns in the use of world maps to compare the perceptions of the literature findings with the results of a focus group analysis. This paper seeks to contribute to a new look on the qualitative treatment approach of data obtained in research in this area.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"12 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72853421","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}
Goal: This article aims to identify the reasons that lead to the low expression of entrepreneurship in the BRICS through a literature review on cultural dimensions by the main authors. Design / Methodology / Approach: The study was carried out through a bibliographic survey of the cultural dimensions in the cited authors, and of entrepreneurship in each one of the BRICS, in order to first define the cultural dimensions and values present in each nation and then explain the national entrepreneurial culture. Results: The results reveal that the entrepreneurial attitude of a population is influenced by the cultural traits of the nation to which it belongs and by some economic aspects. Even though economic aspects influence the initiative to entrepreneur, they could be influenced by the main sector in the economy, by the nature of the entrepreneurship (opportunity or necessity), and by the dimensions of the authors under study. Limitations of the investigation: The limitation of bibliographic research is the secondary source, which can produce contradictions. Practical implications: The study shows to the nations (and their governments) what aspects of their cultures they must invest more time to motivate people to entrepreneur (culture dimensions). Governments can propose to industries present in the main sector and financial institutions to support research and entrepreneurship in the universities, in incubators and in technology parks. Some laws can be created to support entrepreneurial activities, and reduce the number of people who entrepreneur by necessity. Originality / Value: The bibliometric study showed that there were not an article that united all five countries in a study about cultural dimensions and the low rate of entrepreneurship. This article contributes with this gap in the literature.
{"title":"Entrepreneurship in the BRICS and cultural dimensions","authors":"P. H. R. Pecly, P. C. C. Ribeiro","doi":"10.14488/bjopm.2020.013","DOIUrl":"https://doi.org/10.14488/bjopm.2020.013","url":null,"abstract":"Goal: This article aims to identify the reasons that lead to the low expression of entrepreneurship in the BRICS through a literature review on cultural dimensions by the main authors. Design / Methodology / Approach: The study was carried out through a bibliographic survey of the cultural dimensions in the cited authors, and of entrepreneurship in each one of the BRICS, in order to first define the cultural dimensions and values present in each nation and then explain the national entrepreneurial culture. Results: The results reveal that the entrepreneurial attitude of a population is influenced by the cultural traits of the nation to which it belongs and by some economic aspects. Even though economic aspects influence the initiative to entrepreneur, they could be influenced by the main sector in the economy, by the nature of the entrepreneurship (opportunity or necessity), and by the dimensions of the authors under study. Limitations of the investigation: The limitation of bibliographic research is the secondary source, which can produce contradictions. Practical implications: The study shows to the nations (and their governments) what aspects of their cultures they must invest more time to motivate people to entrepreneur (culture dimensions). Governments can propose to industries present in the main sector and financial institutions to support research and entrepreneurship in the universities, in incubators and in technology parks. Some laws can be created to support entrepreneurial activities, and reduce the number of people who entrepreneur by necessity. Originality / Value: The bibliometric study showed that there were not an article that united all five countries in a study about cultural dimensions and the low rate of entrepreneurship. This article contributes with this gap in the literature.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"7 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87663516","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}
J. T. D. G. A. E. A. Campos, J. Blumelova, H. Lepikson, F. G. Freires
Goal: This research provides specific solution for dynamic scheduling of product-driven production with unique level of detail and original architecture. Design / Methodology / Approach: Design process of scheduling problem-solving MAS is divided into three steps: agent encapsulation of entities participating in scheduling, including concept of agents and responsibilities they assume, system architecture and topology of the agents network, detailed design of decision scheme of individual agents. Results: Production processes take place in dynamic environment and have to react to numerous real-time events, hence reschedule the production by a new design and implement agent-based model in order to solve dynamic flexible job shop scheduling problem in product-driven production environment. Limitations of the investigation: Designed model counts with simple agents behaving on conditionaction rules. These agents could be replaced by more sophisticated types of agents such as utilitybased or learning agents. Also the implemented coordination mechanism ensuring global view on the scheduling problem is rather simple. Practical implications: Via simulations of realistic production scenarios it was expected to prove an applicability of specific solution of how bringing the intelligence to the lower levels of control system may be used in dynamic scheduling. Based on elaboration of theoretical basis, principles were identified as suitable or widely used in design of such model. Originality / Value: This research provides specific real-time architecture for a multi-agents dynamic scheduling of product-driven production with unique level of detail and scenarios analysis.
{"title":"Agent-based dynamic scheduling model for product-driven production","authors":"J. T. D. G. A. E. A. Campos, J. Blumelova, H. Lepikson, F. G. Freires","doi":"10.14488/bjopm.2020.044","DOIUrl":"https://doi.org/10.14488/bjopm.2020.044","url":null,"abstract":"Goal: This research provides specific solution for dynamic scheduling of product-driven production with unique level of detail and original architecture. Design / Methodology / Approach: Design process of scheduling problem-solving MAS is divided into three steps: agent encapsulation of entities participating in scheduling, including concept of agents and responsibilities they assume, system architecture and topology of the agents network, detailed design of decision scheme of individual agents. Results: Production processes take place in dynamic environment and have to react to numerous real-time events, hence reschedule the production by a new design and implement agent-based model in order to solve dynamic flexible job shop scheduling problem in product-driven production environment. Limitations of the investigation: Designed model counts with simple agents behaving on conditionaction rules. These agents could be replaced by more sophisticated types of agents such as utilitybased or learning agents. Also the implemented coordination mechanism ensuring global view on the scheduling problem is rather simple. Practical implications: Via simulations of realistic production scenarios it was expected to prove an applicability of specific solution of how bringing the intelligence to the lower levels of control system may be used in dynamic scheduling. Based on elaboration of theoretical basis, principles were identified as suitable or widely used in design of such model. Originality / Value: This research provides specific real-time architecture for a multi-agents dynamic scheduling of product-driven production with unique level of detail and scenarios analysis.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"15 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80963057","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}
Adriano Amaral Caulliraux, Delton Pedroso Bastos, R. Araujo, Stella Regina Reis Da Costa
Goal: This article reports a project carried out by the company Respondit that had as its main objective the optimization of the organizational processes of the law firm BastosJuris. As a research question, we highlight: “Will the communion between Design Thinking, Lean Thinking and Process Management generate good project results?”. Design / Methodology / Approach: The methodology used was composed by Design Thinking, Process Engineering and Lean. The engagement with employees through prototyping and co-creation, focusing on productivity improvement and error elimination, seeking process optimization and implementation of a management model through continuous improvement, illustrates only one of the possible trajectories arising from mixed methodologies. In this case, “orchestrated” by the double diamond. Results: The project described had an ROI of 815% during its execution and fostered several new initiatives for those involved. Limitations of the investigation: As there is no similar research in the literature to compare with, it is not possible to induce success based in other initiatives. Practical implications: The research shows practical results of the effectiveness of the methodology used in the interdisciplinary context. We seek to promote and encourage the development of similar new researches that take interdisciplinarity as a guide for organizational success. Originality / Value: With regard to the academic contributions, the present study carried out the empirically and holistically variables linked to sustainable management practices, innovation, strategy and their consequent elements, in convergence with the research agenda of the management field, which focuses on results for individuals (employees) and organizations.
{"title":"Organizational optimization through the double diamond - Applying Interdisciplinarity","authors":"Adriano Amaral Caulliraux, Delton Pedroso Bastos, R. Araujo, Stella Regina Reis Da Costa","doi":"10.14488/bjopm.2020.025","DOIUrl":"https://doi.org/10.14488/bjopm.2020.025","url":null,"abstract":"Goal: This article reports a project carried out by the company Respondit that had as its main objective the optimization of the organizational processes of the law firm BastosJuris. As a research question, we highlight: “Will the communion between Design Thinking, Lean Thinking and Process Management generate good project results?”. Design / Methodology / Approach: The methodology used was composed by Design Thinking, Process Engineering and Lean. The engagement with employees through prototyping and co-creation, focusing on productivity improvement and error elimination, seeking process optimization and implementation of a management model through continuous improvement, illustrates only one of the possible trajectories arising from mixed methodologies. In this case, “orchestrated” by the double diamond. Results: The project described had an ROI of 815% during its execution and fostered several new initiatives for those involved. Limitations of the investigation: As there is no similar research in the literature to compare with, it is not possible to induce success based in other initiatives. Practical implications: The research shows practical results of the effectiveness of the methodology used in the interdisciplinary context. We seek to promote and encourage the development of similar new researches that take interdisciplinarity as a guide for organizational success. Originality / Value: With regard to the academic contributions, the present study carried out the empirically and holistically variables linked to sustainable management practices, innovation, strategy and their consequent elements, in convergence with the research agenda of the management field, which focuses on results for individuals (employees) and organizations.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"24 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90990110","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}
K. Barrionuevo, I. C. Paula, A. C. Gularte, L. S. D. Bittencourt
Goal: The objective in this paper is to test the Capability, Opportunity, Motivation to perform Behavior model (COM-B model) from the Behavior Change Wheel (BCW) tool (Michie et al., 2014) as part of the diagnosis of Lean Healthcare. Design / Methodology / Approach: Interviews were performed with health professionals from the Pharmaceutical Care Process (PCPr) in the city of Porto Alegre-RS, responsible for the stages of selection, programming, acquisition, storage, distribution and dispensation (SPASDD) of the PCPr cycle in the municipality. The content analysis of data allowed to develop a model for diagnosing and monitoring the logistical performance of PCPr. Results: Results indicated that about 94.0% of problems related to physical and social opportunities in the processes, including improvements in the workspace, furniture, HR hiring and training, security of assets and relationships with users of the PCPr system, which if minimized can reduce the resistance of employees to the change process. Dimensions such as motivation, psychological and physical capacity have revealed lower percentages, but they are important opportunities to improve the PCPr process. Limitations of the investigation: The reduced number of respondents, however interviews were sufficient to capture the perceptions and build a scenario that may be validated in the future with other stakeholders involved in the process. Practical implications: The practical contribution resides in the identification of the behaviors to be changed in a Lean Healthcare project at the Pharmaceutical Care context. COM-B helped to identify behaviors that may hamper the efficiency of the PCPr in a large city. Originality / Value: COM-B has proved to be a useful method to support Lean Healthcare projects, the contribution of this investigation lies in expanding the applicability of COM-B model along with Lean Healthcare projects, mainly at the diagnosis stage.
目标:本文的目的是测试行为改变轮(BCW)工具(Michie et al.， 2014)中的能力、机会、执行行为的动机模型(COM-B模型)，作为精益医疗诊断的一部分。设计/方法/方法:与阿雷格里港rs市药品保健过程(PCPr)的卫生专业人员进行了访谈，他们负责该市PCPr周期的选择、规划、获取、储存、分发和分发(SPASDD)阶段。数据的内容分析允许开发一个模型，用于诊断和监测PCPr的后勤绩效。结果:结果表明，约94.0%的问题与过程中的物理和社会机会有关，包括工作空间、家具、人力资源招聘和培训、资产安全以及与PCPr系统用户关系的改善，如果将这些问题最小化，可以减少员工对变革过程的阻力。动机、心理和身体能力等方面的百分比较低，但它们是改善个人政治权利和政治权利保护进程的重要机会。调查的局限性:调查对象的数量减少了，然而，访谈足以捕捉到感知并建立一个场景，该场景可能在未来与参与该过程的其他利益相关者一起验证。实际意义:实际贡献在于确定在药品保健上下文中精益医疗保健项目中要更改的行为。COM-B有助于识别可能阻碍大城市居民权利和政治权利保护效率的行为。独创性/价值:COM-B已被证明是支持精益医疗项目的有用方法，本研究的贡献在于扩展了COM-B模型在精益医疗项目中的适用性，主要是在诊断阶段。
{"title":"Application of COM-B model as a support to Lean Healthcare diagnostic: the case of Pharmaceutical Care Process","authors":"K. Barrionuevo, I. C. Paula, A. C. Gularte, L. S. D. Bittencourt","doi":"10.14488/bjopm.2020.038","DOIUrl":"https://doi.org/10.14488/bjopm.2020.038","url":null,"abstract":"Goal: The objective in this paper is to test the Capability, Opportunity, Motivation to perform Behavior model (COM-B model) from the Behavior Change Wheel (BCW) tool (Michie et al., 2014) as part of the diagnosis of Lean Healthcare. Design / Methodology / Approach: Interviews were performed with health professionals from the Pharmaceutical Care Process (PCPr) in the city of Porto Alegre-RS, responsible for the stages of selection, programming, acquisition, storage, distribution and dispensation (SPASDD) of the PCPr cycle in the municipality. The content analysis of data allowed to develop a model for diagnosing and monitoring the logistical performance of PCPr. Results: Results indicated that about 94.0% of problems related to physical and social opportunities in the processes, including improvements in the workspace, furniture, HR hiring and training, security of assets and relationships with users of the PCPr system, which if minimized can reduce the resistance of employees to the change process. Dimensions such as motivation, psychological and physical capacity have revealed lower percentages, but they are important opportunities to improve the PCPr process. Limitations of the investigation: The reduced number of respondents, however interviews were sufficient to capture the perceptions and build a scenario that may be validated in the future with other stakeholders involved in the process. Practical implications: The practical contribution resides in the identification of the behaviors to be changed in a Lean Healthcare project at the Pharmaceutical Care context. COM-B helped to identify behaviors that may hamper the efficiency of the PCPr in a large city. Originality / Value: COM-B has proved to be a useful method to support Lean Healthcare projects, the contribution of this investigation lies in expanding the applicability of COM-B model along with Lean Healthcare projects, mainly at the diagnosis stage.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"21 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90314249","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}
Thalles Vitelli Garcez tvgarcez@cdsid.org.br Federal University of Pernambuco, Caruauru, PE, Brazil. ABSTRACT Goal: This study developed a structured decision model capable of solving the storage location assignment problem (SLAP) in a picker-to-parts system, using multiples key performance indicators (KPIs). Design / Methodology / Approach: A hybrid approach was developed. For that, a Multi-Objective Genetic Algorithm (MOGA) was used considering three fitness functions, but more functions may be considered. Through MOGA it was possible to verify a high number of solutions and reduce it into a Pareto frontier. After that, a Multiple-Criteria Decision-Making (MCDM) approach was used to choose the best solution. Results: This model was able to find viable solutions considering multiples objectives, warehouse restrictions and decision makers’ preferences, and the required processing time for the simulated cases was insignificant. Limitations of the investigation: One limitation of this work was the consideration of known and predictable data. Practical implications: The proposed model was developed with the purpose of assisting companies that face this type of problem, providing a solution for SLAP requiring the minimum information and operational actions. Originality / Value: SLAP is a NP (Non-Deterministic Polynomial time) complex problem and, after the MOGA, the number of solution can be still high for the final decision making by the engineering manager (decision maker DM). Thus, the MOGA–MCDM hybrid approach developed was able incorporate the DM’ preferences into a compensatory view, vetoing alternatives that were worse in any of the KPIs, to recommend a final solution.
{"title":"A HYBRID APPROACH DEVELOPMENT TO SOLVING THE STORAGE LOCATION ASSIGNMENT PROBLEM IN A PICKER-TO-PARTS SYSTEM","authors":"M. E. Fontana, V. Nepomuceno, T. V. Garcez","doi":"10.14488/bjopm.2020.005","DOIUrl":"https://doi.org/10.14488/bjopm.2020.005","url":null,"abstract":"Thalles Vitelli Garcez tvgarcez@cdsid.org.br Federal University of Pernambuco, Caruauru, PE, Brazil. ABSTRACT Goal: This study developed a structured decision model capable of solving the storage location assignment problem (SLAP) in a picker-to-parts system, using multiples key performance indicators (KPIs). Design / Methodology / Approach: A hybrid approach was developed. For that, a Multi-Objective Genetic Algorithm (MOGA) was used considering three fitness functions, but more functions may be considered. Through MOGA it was possible to verify a high number of solutions and reduce it into a Pareto frontier. After that, a Multiple-Criteria Decision-Making (MCDM) approach was used to choose the best solution. Results: This model was able to find viable solutions considering multiples objectives, warehouse restrictions and decision makers’ preferences, and the required processing time for the simulated cases was insignificant. Limitations of the investigation: One limitation of this work was the consideration of known and predictable data. Practical implications: The proposed model was developed with the purpose of assisting companies that face this type of problem, providing a solution for SLAP requiring the minimum information and operational actions. Originality / Value: SLAP is a NP (Non-Deterministic Polynomial time) complex problem and, after the MOGA, the number of solution can be still high for the final decision making by the engineering manager (decision maker DM). Thus, the MOGA–MCDM hybrid approach developed was able incorporate the DM’ preferences into a compensatory view, vetoing alternatives that were worse in any of the KPIs, to recommend a final solution.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"36 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83538085","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}
Juliana Ipê Da Silva, Pedro P. Senna, Amanda Chousa, Ormeu Coelho
Goal: This paper aims to carry a bibliometric study to map how data mining and operations research techniques are being applied to Supply Chain Risk Management. Design/Methodology/Approach: We conducted a bibliometric analysis implemented in R language (bibliometrix package) using Systematic Literature Review approach to conduct the search. Results: As the main results we highlight the gap we found in the literature considering Data Mining techniques in Supply Chain Risk Management and we set a full panorama of this stream of research. Limitations of the Investigation: We used Scopus database which allows recovering peer-reviewed texts from dozens of strong databases, nevertheless, we can not guarantee that all relevant documents were recovered. In addition, we considered only full published papers published in English language. Practical Implications: Managers and companies that are related in a supply chain must gradually redesign processes to include Data Mining techniques to support SCRM processes and activities along the SC. Originality / Value: The paper showed the updated panorama of Data Mining implementation regarding SCRM. We did not find any similar studies, which shows our unique contribution.
{"title":"Data mining and operations research techniques in Supply Chain Risk Management: A bibliometric study","authors":"Juliana Ipê Da Silva, Pedro P. Senna, Amanda Chousa, Ormeu Coelho","doi":"10.14488/bjopm.2020.029","DOIUrl":"https://doi.org/10.14488/bjopm.2020.029","url":null,"abstract":"Goal: This paper aims to carry a bibliometric study to map how data mining and operations research techniques are being applied to Supply Chain Risk Management. Design/Methodology/Approach: We conducted a bibliometric analysis implemented in R language (bibliometrix package) using Systematic Literature Review approach to conduct the search. Results: As the main results we highlight the gap we found in the literature considering Data Mining techniques in Supply Chain Risk Management and we set a full panorama of this stream of research. Limitations of the Investigation: We used Scopus database which allows recovering peer-reviewed texts from dozens of strong databases, nevertheless, we can not guarantee that all relevant documents were recovered. In addition, we considered only full published papers published in English language. Practical Implications: Managers and companies that are related in a supply chain must gradually redesign processes to include Data Mining techniques to support SCRM processes and activities along the SC. Originality / Value: The paper showed the updated panorama of Data Mining implementation regarding SCRM. We did not find any similar studies, which shows our unique contribution.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89677389","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}
G. Olivares., Eduardo de Oliveira Ormond, Raphaela Pereira Rangel
Goal: This article describes a simulation exercise based on the premises of the experiential learning approach, using Lego® blocks to build a production plant model. Design / Methodology / Approach: The simulation was applied to groups of 4 to 6 participants, enrolled in production management or similar classes. Results: The use of this approach promoted a learning environment with greater interaction and stimulated the students to put their reasoning, decision-making and communication skills into practice. Limitations of the investigation: Because the simulation is only a representation of reality, it can generate some generalization, and since it is a controlled experiment, all the variables are known in advance. Therefore, the practices using the simulation should be discussed and contrasted with realworld practices after application of the method. Practical implications: This simulation enables examining themes such as inventories, supply chains, production planning and scheduling, layout, MRP, and mainly integration of organizational processes in practice, promoting hands-on experience. Originality / Value: The reports of the participants indicated a positive impact of the proposed simulation, by stimulating the development of skills and capabilities for their training as future managers.
{"title":"Simulation of productive processes using Lego® blocks for application of the concepts of integrated production management","authors":"G. Olivares., Eduardo de Oliveira Ormond, Raphaela Pereira Rangel","doi":"10.14488/bjopm.2020.036","DOIUrl":"https://doi.org/10.14488/bjopm.2020.036","url":null,"abstract":"Goal: This article describes a simulation exercise based on the premises of the experiential learning approach, using Lego® blocks to build a production plant model. Design / Methodology / Approach: The simulation was applied to groups of 4 to 6 participants, enrolled in production management or similar classes. Results: The use of this approach promoted a learning environment with greater interaction and stimulated the students to put their reasoning, decision-making and communication skills into practice. Limitations of the investigation: Because the simulation is only a representation of reality, it can generate some generalization, and since it is a controlled experiment, all the variables are known in advance. Therefore, the practices using the simulation should be discussed and contrasted with realworld practices after application of the method. Practical implications: This simulation enables examining themes such as inventories, supply chains, production planning and scheduling, layout, MRP, and mainly integration of organizational processes in practice, promoting hands-on experience. Originality / Value: The reports of the participants indicated a positive impact of the proposed simulation, by stimulating the development of skills and capabilities for their training as future managers.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"39 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87567807","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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