Pub Date : 2019-07-31DOI: 10.4995/IJPME.2019.10911
Z. Hussain
Productivity level is based on reliability impression which is the rudimentary aspect of automatic assembly line for continuous production. Productivity forecasting is a professional tool helping to enhance production system and attain the client petition by using precise model. Due to mechanisms complexity of assembly lines, analysis of failure factors contributes a significant role for investigating potential bounds that require analytial approach for comparison the current and proposed model of productivity effects. The issues related to production losses need additional space for improvement of productivity model which may not present a close comparison between the current and proposed model of productivity. Through this paper the development of a novel based productivity model is attempted to extant comparisons for availability of assembly line workspaces of an automobile tire manufacturing plant in Pakistan. For investigating the potential bounds of productivity losses, DMAIC and PACE techniques are used. It is verified that novel productivity model yielded better results of 3.358 % errors showing its accuracy as compared to real productivity level at different workspaces. Different rates of production losses followed by the workspaces blockage timing issues are effectively discussed with engineering maintainable explanation for productivity enhancement within the tire curing assembly line.
{"title":"Developing a novel based productivity model by investigating potential bounds of production plant: A case study.","authors":"Z. Hussain","doi":"10.4995/IJPME.2019.10911","DOIUrl":"https://doi.org/10.4995/IJPME.2019.10911","url":null,"abstract":"Productivity level is based on reliability impression which is the rudimentary aspect of automatic assembly line for continuous production. Productivity forecasting is a professional tool helping to enhance production system and attain the client petition by using precise model. Due to mechanisms complexity of assembly lines, analysis of failure factors contributes a significant role for investigating potential bounds that require analytial approach for comparison the current and proposed model of productivity effects. The issues related to production losses need additional space for improvement of productivity model which may not present a close comparison between the current and proposed model of productivity. Through this paper the development of a novel based productivity model is attempted to extant comparisons for availability of assembly line workspaces of an automobile tire manufacturing plant in Pakistan. For investigating the potential bounds of productivity losses, DMAIC and PACE techniques are used. It is verified that novel productivity model yielded better results of 3.358 % errors showing its accuracy as compared to real productivity level at different workspaces. Different rates of production losses followed by the workspaces blockage timing issues are effectively discussed with engineering maintainable explanation for productivity enhancement within the tire curing assembly line.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45302099","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 : 2019-06-05DOI: 10.4995/IJPME.2019.10795
Raquel Sanchis, B. Andrés, R. Poler
One of the main priorities of the European Commission is the utilisation of European Projects results in further research activities, or in developing, creating and marketing a product or process. For this reason, it is critical to test and validate European projects results before implementing them in real scenarios. In this paper, a general validation methodology addressed to the assessment of technological results has been defined. This general methodology offers the foundations to define specific validation methodologies to validate particular results of different Research Projects. As an example, the general methodology has been applied to define a specific one for the validation of an Optimiser developed within the European Research Project: Cloud Collaborative Manufacturing Networks (C2NET) to guarantee the proper operation of the research results and facilitate their later real implementation and exploitation.
{"title":"Methodology to Validate Results from European Research Projects: The C2NET Case Study","authors":"Raquel Sanchis, B. Andrés, R. Poler","doi":"10.4995/IJPME.2019.10795","DOIUrl":"https://doi.org/10.4995/IJPME.2019.10795","url":null,"abstract":"One of the main priorities of the European Commission is the utilisation of European Projects results in further research activities, or in developing, creating and marketing a product or process. For this reason, it is critical to test and validate European projects results before implementing them in real scenarios. In this paper, a general validation methodology addressed to the assessment of technological results has been defined. This general methodology offers the foundations to define specific validation methodologies to validate particular results of different Research Projects. As an example, the general methodology has been applied to define a specific one for the validation of an Optimiser developed within the European Research Project: Cloud Collaborative Manufacturing Networks (C2NET) to guarantee the proper operation of the research results and facilitate their later real implementation and exploitation.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42730038","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 : 2019-06-05DOI: 10.4995/IJPME.2019.11458
R. Lizarralde, J. Ganzarain
R&D Centres play a key role in the technology development process of industries, and therefore in their competitive strategies. They have responsibility in the identification, selection, acquisition, development and transfer of technology. Among these activities, the successful selection of new technologies is becoming a highly critical and complex challenge in the Technology Management Process. The problem of succeeding in the selection of new technologies is, from the methodological side, linked to heterogeneous key factors (technological, economic, human, and organisational). Many approaches deal with it by means of Multiple Criteria Decision Making (MCDM) techniques and tools. Nevertheless, most of the works are related to the selection of technologies in industrial cases and very few works have been found in the bibliography related to R&D Institutions and, in particular, Technological Centres. A model for the evaluation and decision about one or several technologies based on the MIVES (Modelo Integrado de Valor para Evaluaciones de Sostenibilidad) method is proposed. Introducing the motivations for using this method, after a review of the most used MCDM methods, and describing the structure of the model and the preliminary key parameters and relations among them. The proposed model is oriented to it’s application in the manufacturing sector, observing the particularities of the sector in the selection of the critical factors related to technology, R&D Centre and Industry.
研发中心在行业的技术发展过程中发挥着关键作用，因此在其竞争战略中发挥着关键作用。它们在确定、选择、获取、发展和转让技术方面负有责任。在这些活动中，成功地选择新技术正在成为技术管理过程中非常关键和复杂的挑战。从方法论的角度来看，成功选择新技术的问题与各种不同的关键因素(技术、经济、人力和组织)有关。许多方法通过多准则决策(MCDM)技术和工具来解决这一问题。然而，大多数作品都与工业案例中的技术选择有关，在参考书目中发现的与研发机构，特别是技术中心有关的作品很少。提出了一种基于MIVES (Modelo Integrado de Valor para Evaluaciones de Sostenibilidad)方法的一种或几种技术的评价和决策模型。在回顾了常用的MCDM方法后，介绍了使用该方法的动机，并描述了模型的结构和初步的关键参数以及它们之间的关系。该模型着眼于制造业的应用，观察了制造业在技术、研发中心和产业等关键因素选择上的特殊性。
{"title":"A Multicriteria Decision Model for the Evaluation and Selection of Technologies in a R&D Centre","authors":"R. Lizarralde, J. Ganzarain","doi":"10.4995/IJPME.2019.11458","DOIUrl":"https://doi.org/10.4995/IJPME.2019.11458","url":null,"abstract":"R&D Centres play a key role in the technology development process of industries, and therefore in their competitive strategies. They have responsibility in the identification, selection, acquisition, development and transfer of technology. Among these activities, the successful selection of new technologies is becoming a highly critical and complex challenge in the Technology Management Process. The problem of succeeding in the selection of new technologies is, from the methodological side, linked to heterogeneous key factors (technological, economic, human, and organisational). Many approaches deal with it by means of Multiple Criteria Decision Making (MCDM) techniques and tools. Nevertheless, most of the works are related to the selection of technologies in industrial cases and very few works have been found in the bibliography related to R&D Institutions and, in particular, Technological Centres. A model for the evaluation and decision about one or several technologies based on the MIVES (Modelo Integrado de Valor para Evaluaciones de Sostenibilidad) method is proposed. Introducing the motivations for using this method, after a review of the most used MCDM methods, and describing the structure of the model and the preliminary key parameters and relations among them. The proposed model is oriented to it’s application in the manufacturing sector, observing the particularities of the sector in the selection of the critical factors related to technology, R&D Centre and Industry.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45585994","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 : 2019-06-05DOI: 10.4995/IJPME.2019.10807
J. Ganzarain, M. Ruiz, J. Igartua
In our increasingly globalised economy, managing continuous change whilst remaining competitive and dynamic has become a central issue for firms in the industrial sector. One of the elements for obtaining this competitiveness is the value creation model of the firm. The most important challenges in firms are characterised by dynamic complexity which makes it difficult to understand factors in their context. Consequently management and decision making is hindered (Antunes et al., 2011). Business models are characterised by complexity and dynamism. Performance of the firm is a complex topic determined by the large amount of variables that can be involved in the system, and the different effects that influence the system in the short and long term. Due to this complexity a systemic view is required, that is, an holistic view of the whole system. Such a systemic view enables managers to make decisions based on evidence rather than intuition and personal experiences, as they understand how the whole system works. Thus, the main aim of this research is to use an empirical tool such as System Dynamics (SD), to support and sustain firms in the identification of new constructs related to their Business Model (BM).
{"title":"Testing successful Business Model using System Dynamics","authors":"J. Ganzarain, M. Ruiz, J. Igartua","doi":"10.4995/IJPME.2019.10807","DOIUrl":"https://doi.org/10.4995/IJPME.2019.10807","url":null,"abstract":"In our increasingly globalised economy, managing continuous change whilst remaining competitive and dynamic has become a central issue for firms in the industrial sector. One of the elements for obtaining this competitiveness is the value creation model of the firm. The most important challenges in firms are characterised by dynamic complexity which makes it difficult to understand factors in their context. Consequently management and decision making is hindered (Antunes et al., 2011). Business models are characterised by complexity and dynamism. Performance of the firm is a complex topic determined by the large amount of variables that can be involved in the system, and the different effects that influence the system in the short and long term. Due to this complexity a systemic view is required, that is, an holistic view of the whole system. Such a systemic view enables managers to make decisions based on evidence rather than intuition and personal experiences, as they understand how the whole system works. Thus, the main aim of this research is to use an empirical tool such as System Dynamics (SD), to support and sustain firms in the identification of new constructs related to their Business Model (BM).","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41476303","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 : 2019-06-05DOI: 10.4995/IJPME.2019.10572
J. Gavilanes-Trapote, I. Etxeberria-Agiriano, E. Cilleruelo, G. Garechana
Knowledge flow of technology is important for continuous growth and extension of science. Patent data analysis has facilitated this knowledge acquisition. The available patent information crosses borders, corresponds and interacts with new inventions to give new strength and dimension to the technology. Therefore, the patent citation information functions as a key indicator of the knowledge flow providing relevant information. It can be identified to which extent a region is a relevant technological knowledge generator to other regions. As an illustrative case, we present a study to determine the role played by the Basque Country region as a generator of technological innovation during the period 1991-2011.
{"title":"Analysis of technological knowledge flows in the Basque Country","authors":"J. Gavilanes-Trapote, I. Etxeberria-Agiriano, E. Cilleruelo, G. Garechana","doi":"10.4995/IJPME.2019.10572","DOIUrl":"https://doi.org/10.4995/IJPME.2019.10572","url":null,"abstract":"Knowledge flow of technology is important for continuous growth and extension of science. Patent data analysis has facilitated this knowledge acquisition. The available patent information crosses borders, corresponds and interacts with new inventions to give new strength and dimension to the technology. Therefore, the patent citation information functions as a key indicator of the knowledge flow providing relevant information. It can be identified to which extent a region is a relevant technological knowledge generator to other regions. As an illustrative case, we present a study to determine the role played by the Basque Country region as a generator of technological innovation during the period 1991-2011.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45947921","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 : 2019-06-05DOI: 10.4995/IJPME.2019.10789
Izaskun Alvarez-Meaza, Enara Zarrabeitia-Bilbao, Rosa María Río-Belver, I. M. D. Alegría, Iñaki Bildosola
Patents are a means of protecting inventions developed by firms, institutions or individuals, and they may be interpreted as indicators of invention. Patents indicators convey information on the processes of inventive activities. Therefore, patent statistics will assess science and technology (S&T) activities. Besides, additive manufacturing (AM) has become a revolutionary technology that is changing medical science. For this reason, the patent statistics will allow us to monitor what is the state of the inventive activity of AM in medical applications. The database used in order to retrieve patent information is Patseer and the data have been analyzed through the analytics package called Quick Stats. From the data obtained, it can be concluded that, additive manufacturing in medical applications is an emerging technology with huge market potential. Undoubtedly, the core of invention is located in United States, followed by Germany, United Kingdom and China somewhat behind. Firms are the main holders of legal rights, and the firm’s market value and the knowledge diffusion of technology are ensured by the technological diversity and the number of forward citations presented by patents.
{"title":"Patentometric: monitoring the scientific and technological trends of Additive Manufacturing in Medical Applications","authors":"Izaskun Alvarez-Meaza, Enara Zarrabeitia-Bilbao, Rosa María Río-Belver, I. M. D. Alegría, Iñaki Bildosola","doi":"10.4995/IJPME.2019.10789","DOIUrl":"https://doi.org/10.4995/IJPME.2019.10789","url":null,"abstract":"Patents are a means of protecting inventions developed by firms, institutions or individuals, and they may be interpreted as indicators of invention. Patents indicators convey information on the processes of inventive activities. Therefore, patent statistics will assess science and technology (S&T) activities. Besides, additive manufacturing (AM) has become a revolutionary technology that is changing medical science. For this reason, the patent statistics will allow us to monitor what is the state of the inventive activity of AM in medical applications. The database used in order to retrieve patent information is Patseer and the data have been analyzed through the analytics package called Quick Stats. From the data obtained, it can be concluded that, additive manufacturing in medical applications is an emerging technology with huge market potential. Undoubtedly, the core of invention is located in United States, followed by Germany, United Kingdom and China somewhat behind. Firms are the main holders of legal rights, and the firm’s market value and the knowledge diffusion of technology are ensured by the technological diversity and the number of forward citations presented by patents.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42531565","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 : 2019-06-05DOI: 10.4995/IJPME.2019.11513
J. García Hernanz, G. Morales-Alonso, G. Fernández Sánchez, E. Pilkington González, T. Sánchez Chaparro
Madrid Public Transport Company (EMT-Madrid) is a property of the Madrid City Council, and it provides the public buses service in the whole city. Madrid, as most of the big cities in the world, is facing problems related to high levels of urban pollution, which directly affects the health and life quality of their inhabitants. EMT, having a fleet of around 2000 buses, has an impact in the mentioned problem and in the global warming. With the Strategic Plan 2017-2020, many new buses will be acquired, resulting in a fleet of natural gas, hybrid and electric vehicles by the end of 2020. The present study has the goal of being the cornerstone of a future strategic plan of the company. To this end, both external and internal analyses of the company have been conducted, which support that the electrification of the whole fleet is the best option in the long term. Furthermore, a Benchmarking of the state of the public transport in other 25 cities and the technology used in them has been conducted. Last, a model that allows replicability of this strategic assessment is proposed, in order to help other Transport Companies and City Councils to decide which transport fleet is the best to implement in their cities depending on their necessities and resources.
{"title":"Electrification of Madrid Fleet Public Transport Company (EMT-Madrid): Strategic Analysis and Implementation","authors":"J. García Hernanz, G. Morales-Alonso, G. Fernández Sánchez, E. Pilkington González, T. Sánchez Chaparro","doi":"10.4995/IJPME.2019.11513","DOIUrl":"https://doi.org/10.4995/IJPME.2019.11513","url":null,"abstract":"Madrid Public Transport Company (EMT-Madrid) is a property of the Madrid City Council, and it provides the public buses service in the whole city. Madrid, as most of the big cities in the world, is facing problems related to high levels of urban pollution, which directly affects the health and life quality of their inhabitants. EMT, having a fleet of around 2000 buses, has an impact in the mentioned problem and in the global warming. With the Strategic Plan 2017-2020, many new buses will be acquired, resulting in a fleet of natural gas, hybrid and electric vehicles by the end of 2020. The present study has the goal of being the cornerstone of a future strategic plan of the company. To this end, both external and internal analyses of the company have been conducted, which support that the electrification of the whole fleet is the best option in the long term. Furthermore, a Benchmarking of the state of the public transport in other 25 cities and the technology used in them has been conducted. Last, a model that allows replicability of this strategic assessment is proposed, in order to help other Transport Companies and City Councils to decide which transport fleet is the best to implement in their cities depending on their necessities and resources.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43584514","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 : 2019-06-05DOI: 10.4995/IJPME.2019.11901
R. De Castro, G. Giménez, J. Mula, A. Boza, L. Cuenca, P. Gómez-Gasquet, E. Vicens-Salort
This special issue of the International Journal of Production Management and Engineering is dedicated on the most recent and relevant research, theories and practices in Industrial Engineering and Operations Management presented at the 12th International Conference on Industrial Engineering and Industrial Management and XXII Congreso de Ingeniería de Organización - CIO18.
{"title":"Special issue: Advances in Engineering Networks","authors":"R. De Castro, G. Giménez, J. Mula, A. Boza, L. Cuenca, P. Gómez-Gasquet, E. Vicens-Salort","doi":"10.4995/IJPME.2019.11901","DOIUrl":"https://doi.org/10.4995/IJPME.2019.11901","url":null,"abstract":"This special issue of the International Journal of Production Management and Engineering is dedicated on the most recent and relevant research, theories and practices in Industrial Engineering and Operations Management presented at the 12th International Conference on Industrial Engineering and Industrial Management and XXII Congreso de Ingeniería de Organización - CIO18.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49311983","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}
Supply Chain Management (SCM) is an important concept to establish links among companies. With the aim to reach the SCM goals, companies must define processes that links the decisions areas. In this context, a process to be dealt is the Sales and Operations Planning (S&OP). The S&OP is a tactical planning process, executed on monthly-basis and led by senior management with the aim to balance demand, production, distribution, procurement and finance, to ensure the plans and performance are aligned to support the business strategic plan. In this sense, a literature review was presented in this paper in order to compare the traditional approach and the demand-driven approach for the S&OP. As expected, because of the more complex environment to be dealt in a demand-driven environment, the S&OP evolved to be able to be executed properly. However, further studies in this area should be developed in order to obtain a final framework for the demand-driven S&OP, to analyse applications in industries, to understand performance implications and to develop a performance framework for the demand-driven S&OP.
{"title":"Sales and Operations Planning: a comparison between the demand-driven and traditional approaches","authors":"D. F. Bozutti, K. F. Espôsto","doi":"10.4995/IJPME.2019.9469","DOIUrl":"https://doi.org/10.4995/IJPME.2019.9469","url":null,"abstract":"Supply Chain Management (SCM) is an important concept to establish links among companies. With the aim to reach the SCM goals, companies must define processes that links the decisions areas. In this context, a process to be dealt is the Sales and Operations Planning (S&OP). The S&OP is a tactical planning process, executed on monthly-basis and led by senior management with the aim to balance demand, production, distribution, procurement and finance, to ensure the plans and performance are aligned to support the business strategic plan. In this sense, a literature review was presented in this paper in order to compare the traditional approach and the demand-driven approach for the S&OP. As expected, because of the more complex environment to be dealt in a demand-driven environment, the S&OP evolved to be able to be executed properly. However, further studies in this area should be developed in order to obtain a final framework for the demand-driven S&OP, to analyse applications in industries, to understand performance implications and to develop a performance framework for the demand-driven S&OP.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49072194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The palletizing layout affects directly the company’s costs and logistics efficiency, because with an optimal layout is possible to reduce the number of truck loading to meet the same demand. Therefore, this paper is a case study, showing the actual scenario of soybean oil manufacturing company, to propose a packaging study which will define the optimal dimensions for the package and palletizing. The reached results show a 25% pallet capacity increase, as well as a 25% reduction of the number of truck loading necessary to meet the demand.
{"title":"An Oil Package Study aiming the Logistics Optimization on the Palletizing Capacity","authors":"M. Samed, A.L.T. Umemoto","doi":"10.4995/IJPME.2019.8757","DOIUrl":"https://doi.org/10.4995/IJPME.2019.8757","url":null,"abstract":"The palletizing layout affects directly the company’s costs and logistics efficiency, because with an optimal layout is possible to reduce the number of truck loading to meet the same demand. Therefore, this paper is a case study, showing the actual scenario of soybean oil manufacturing company, to propose a packaging study which will define the optimal dimensions for the package and palletizing. The reached results show a 25% pallet capacity increase, as well as a 25% reduction of the number of truck loading necessary to meet the demand.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46066441","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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