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":" ","pages":""},"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":" ","pages":""},"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":" ","pages":""},"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}
Pub Date : 2019-01-31DOI: 10.4995/IJPME.2019.10812
D. Pérez, L. Sáiz-Bárcena, M. A. Manzanedo, A. Perez
The objective of this article is to examine the absorptive capacity in the technology industry and aspires to recognize how firms can manage their strategic decisions in the turbulence contexts. In particular, we examine how organizations can strengthen their organizational contexts in order to absorb knowledge. From the knowledge management literature, this investigation extends our perception of the relationship between the human capital profiles (organization, research and development unit, and recent incorporations) and technological decision-making. Through the SEPI Foundation, a balanced panel of 1,220 Spanish industrial companies has used that answer to the Survey of Business Strategies (SBS) for a threeyear period, which signifies a total of 3,660 cases. The principal finding is the presence of high levels of human resources to understand a decision efficiency process. It also highlights its relationship to the firm’s technological committee. These contributions are notable for both researchers and practitioners. It could be stimulating to expand the study to the association between human capital profiles and other strategic technological decisions, as the preparation of an innovation plan or the measurement of innovation performance.
{"title":"Profiles of human capital and strategic technological decisions on turbulence environment","authors":"D. Pérez, L. Sáiz-Bárcena, M. A. Manzanedo, A. Perez","doi":"10.4995/IJPME.2019.10812","DOIUrl":"https://doi.org/10.4995/IJPME.2019.10812","url":null,"abstract":"The objective of this article is to examine the absorptive capacity in the technology industry and aspires to recognize how firms can manage their strategic decisions in the turbulence contexts. In particular, we examine how organizations can strengthen their organizational contexts in order to absorb knowledge. From the knowledge management literature, this investigation extends our perception of the relationship between the human capital profiles (organization, research and development unit, and recent incorporations) and technological decision-making. Through the SEPI Foundation, a balanced panel of 1,220 Spanish industrial companies has used that answer to the Survey of Business Strategies (SBS) for a threeyear period, which signifies a total of 3,660 cases. The principal finding is the presence of high levels of human resources to understand a decision efficiency process. It also highlights its relationship to the firm’s technological committee. These contributions are notable for both researchers and practitioners. It could be stimulating to expand the study to the association between human capital profiles and other strategic technological decisions, as the preparation of an innovation plan or the measurement of innovation performance.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47655295","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}
Companies around the world are under pressure to reduce their prices to be competitive. In order to keep profitability, they are adopting lean manufacturing (LM) and its tools to reduce waste and, consequently, the costs. Value stream mapping (VSM) is an efficient LM tool, identifying production flow waste. When it is possible to combine VSM with other LM tool, such as Kanban, a substantial impact in inventory reduction is reached. Additionally, the conventional account system shows limitations in the costs reduction to keep up with LM. The purpose of this paper is to present the results obtained by the application of the VSM combined with Kanban and the new account approach to measure the effectiveness of the cost reduction in the finished goods inventory. Considering that LM tools application in the textile segment has not an expressive number of researches, four hypothesis are presented and validated. The findings are discussed and finally, the research limitations and the practical implications originated by this work are presented as well as topics for further researches are suggested.
{"title":"Value stream mapping as a lean manufacturing tool: A new account approach for cost saving in a textile company","authors":"C. Carvalho, D. S. Carvalho, Messias Borges Silva","doi":"10.4995/IJPME.2019.8607","DOIUrl":"https://doi.org/10.4995/IJPME.2019.8607","url":null,"abstract":"Companies around the world are under pressure to reduce their prices to be competitive. In order to keep profitability, they are adopting lean manufacturing (LM) and its tools to reduce waste and, consequently, the costs. Value stream mapping (VSM) is an efficient LM tool, identifying production flow waste. When it is possible to combine VSM with other LM tool, such as Kanban, a substantial impact in inventory reduction is reached. Additionally, the conventional account system shows limitations in the costs reduction to keep up with LM. The purpose of this paper is to present the results obtained by the application of the VSM combined with Kanban and the new account approach to measure the effectiveness of the cost reduction in the finished goods inventory. Considering that LM tools application in the textile segment has not an expressive number of researches, four hypothesis are presented and validated. The findings are discussed and finally, the research limitations and the practical implications originated by this work are presented as well as topics for further researches are suggested.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48496942","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 : 2019-01-31DOI: 10.4995/IJPME.2019.10745
Yun Huang, X. Chang, Yan Ding
This paper explores the possibility that perishable goods can be ordered several times in a single period after considering the cost of Marginal contribution, Marginal loss, Shortage, and Purchasing under stochastic demand. In order to determine the optimal ordering quantity to improve the traditional newsvendor and maximize the total expected profits, and then sensitivity analysis is taken to realize the influence of the parameters on total expected profits and decision variables respectively. In addition, this paper designed a multi-order computerized system with Monte Carlo method to solve the optimal solution under stochastic demand. Based on numerical examples, this paper verified the feasibility and efficiency of the proposed model. Finally, several specific conclusions are drawn for practical applications and future studies.
{"title":"Using system simulation to search for the optimal multi-ordering policy for perishable goods","authors":"Yun Huang, X. Chang, Yan Ding","doi":"10.4995/IJPME.2019.10745","DOIUrl":"https://doi.org/10.4995/IJPME.2019.10745","url":null,"abstract":"This paper explores the possibility that perishable goods can be ordered several times in a single period after considering the cost of Marginal contribution, Marginal loss, Shortage, and Purchasing under stochastic demand. In order to determine the optimal ordering quantity to improve the traditional newsvendor and maximize the total expected profits, and then sensitivity analysis is taken to realize the influence of the parameters on total expected profits and decision variables respectively. In addition, this paper designed a multi-order computerized system with Monte Carlo method to solve the optimal solution under stochastic demand. Based on numerical examples, this paper verified the feasibility and efficiency of the proposed model. Finally, several specific conclusions are drawn for practical applications and future studies.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47079930","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 : 2018-07-26DOI: 10.4995/IJPME.2018.10369
Quentin Schoen, Raquel Sanchis, R. Poler, M. Lauras, F. Fontanili, Sébastien Truptil
The upcoming logistic environment is about to modify deeply the way we supply products. In fact, some new trends are going to require more and more agility between a large number of stakeholders in open and dynamic networks. This should be possible to achieve thanks to new data collection and treatment abilities. Considering this moving technological and logistic environment, it appears necessary to define and categorize more specifically the main disruptive events that can affect a supply chain. In fact, amount of data are collected on the field and must be helpful to make relevant decisions in case of disruption. In order to understand automatically what these data mean, it is necessary to detect and classify the disruptive events in order to find the best adaptation. This paper focuses on the sensitive products’ supply chains, that are facing with agility high requirements, based on their ability to detect disruptive events. We take as an example the blood supply chain.
{"title":"Categorisation of the Main Disruptive Events in the Sensitive Products Transportation Supply Chains","authors":"Quentin Schoen, Raquel Sanchis, R. Poler, M. Lauras, F. Fontanili, Sébastien Truptil","doi":"10.4995/IJPME.2018.10369","DOIUrl":"https://doi.org/10.4995/IJPME.2018.10369","url":null,"abstract":"The upcoming logistic environment is about to modify deeply the way we supply products. In fact, some new trends are going to require more and more agility between a large number of stakeholders in open and dynamic networks. This should be possible to achieve thanks to new data collection and treatment abilities. Considering this moving technological and logistic environment, it appears necessary to define and categorize more specifically the main disruptive events that can affect a supply chain. In fact, amount of data are collected on the field and must be helpful to make relevant decisions in case of disruption. In order to understand automatically what these data mean, it is necessary to detect and classify the disruptive events in order to find the best adaptation. This paper focuses on the sensitive products’ supply chains, that are facing with agility high requirements, based on their ability to detect disruptive events. We take as an example the blood supply chain.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48262519","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}
E. Agenjo, Natalia Martin-Cruz, C. Ruiz-Martin, A. López-Paredes
In this paper, we study the impact of the Capability Maturity Model Integration (CMMI) on firm performance both during and after its implementation. The literature pointed out that CMMI is theoretically related to the generation of dynamic capabilities. To give an empirical view of these theories, we built a database of economic and financial data from Spanish firms involved in programming, consultancy or another computer-related sector. This data allowed us to study the relationship between the use of CMMI and the firm economic and financial performance in an empirical way. The main finding of the analysis is a negative relationship between the use of CMMI and profitability in the firms during the analyzed period and sector.
{"title":"Does CMMI Implementation affect the Performance of the Firm? An Evaluation from a Dynamic Capabilities Approach","authors":"E. Agenjo, Natalia Martin-Cruz, C. Ruiz-Martin, A. López-Paredes","doi":"10.4995/IJPME.2018.8617","DOIUrl":"https://doi.org/10.4995/IJPME.2018.8617","url":null,"abstract":"In this paper, we study the impact of the Capability Maturity Model Integration (CMMI) on firm performance both during and after its implementation. The literature pointed out that CMMI is theoretically related to the generation of dynamic capabilities. To give an empirical view of these theories, we built a database of economic and financial data from Spanish firms involved in programming, consultancy or another computer-related sector. This data allowed us to study the relationship between the use of CMMI and the firm economic and financial performance in an empirical way. The main finding of the analysis is a negative relationship between the use of CMMI and profitability in the firms during the analyzed period and sector.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48680142","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}
Alexandria Trattner, Zaza Nadja Lee Herbert-Hansen, L. Hvam
This paper illustrates current challenges and suggests solutions within the area of scheduling in the baking industry. The analysis applies the product wheel heuristic approach of King (2009) and tests the production cycles generated using actual sales and production data from a manufacturer of frozen baked goods. The product wheel method showed to be a suitable method for application at the baked goods manufacturer and generated a 23% reduction in setup and inventory cost at the case company. Despite the benefits, the product wheel method proved difficult to apply in a high variety setting, where an operations research model may have achieved more significant results.
{"title":"Product Wheels for Scheduling in the Baking Industry: A Case Study","authors":"Alexandria Trattner, Zaza Nadja Lee Herbert-Hansen, L. Hvam","doi":"10.4995/IJPME.2018.8662","DOIUrl":"https://doi.org/10.4995/IJPME.2018.8662","url":null,"abstract":"This paper illustrates current challenges and suggests solutions within the area of scheduling in the baking industry. The analysis applies the product wheel heuristic approach of King (2009) and tests the production cycles generated using actual sales and production data from a manufacturer of frozen baked goods. The product wheel method showed to be a suitable method for application at the baked goods manufacturer and generated a 23% reduction in setup and inventory cost at the case company. Despite the benefits, the product wheel method proved difficult to apply in a high variety setting, where an operations research model may have achieved more significant results.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45238863","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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