Recent Submissions

  • A model for renewable energy-based product innovation based on TRIZ methodology, exergy analysis and knowledge management: Case study

    Alvarez, José C.; Hatakeyama, Kazuo; Carvalho, Monica; Marçal, Roberto C.; Inche, Jorge; de Melo, Norma (Elsevier Ltd, 2022-11-01)
    Eco-innovation is the innovation of products that focuses on the use of renewable energy and meets specific environmental requirements, and is essential for energy conservation and environmental protection. There are recommendations and strategies available for general product development, but there are limited studies when focusing on renewable energy products. A proposal for eco-innovation in renewable energy is developed based on exergy analysis, TRIZ methodology, and knowledge management. The model is demonstrated with a specific case study. This study contributes to the analysis and development of products with renewable energy that help mitigate climate change, consistent with the change in the energy matrix. Furthermore, this study is a transdisciplinary effort that integrates concepts from different topics to achieve a comprehensive model.
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  • Review lean manufacturing model of production management under the preventive maintenance approach to improve efficiency in plastics industry SMES: a case study

    Quiroz-Flores, J. C.; Vega-Alvites, M. L. (South African Institute of Industrial Engineering, 2022-01-01)
    Failure to deliver orders because of low production capacity is one of the main problems faced by companies in the plastics sector. This has repercussions, creating customer dissatisfaction and directly affecting profits by increasing production costs. Among the main causes of these problems is production downtime, which is caused by high set-up times and machine failures during the production process. To solve these problems, a lean manufacturing model is proposed that includes 5S, SMED (Single Minute Exchange of Die), TPM (Total Productive Maintenance), and Jidoka tools. This model was validated in a company dedicated to the production of plastics by injection moulding, which resulted in an increase in OEE (Overall Equipment Effectiveness) of 13 per cent and a reduction in set-up times of 48 per cent.
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  • Implementation of a Lean Manufacturing and SLP-based system for a footwear company

    Silvestre, Sergio Enrique Munive; Chaicha, Victor David Paucar; Merino, Jose Carlos Alvarez; Nallusamy, S. (Associacao Brasileira de Engenharia de Producao, 2022-01-01)
    Paper aims: This research article addresses an innovative solution to face one of the main problems in the footwear industry, namely the high order non-fulfillment rate. Originality: This research offers companies in the footwear industry the possibility of implementing Andon through a structured and planned process that allows expediting problem solving. The advantage of this system is the ability to signal the status of workstations through rapid visual identification. Moreover, in this way social distancing is also secured, in line with World Health Organization guidelines to prevent the spread of COVID-19. Research method: The article presents four phases through which the case study was addressed. Planning (determination of objectives), Restructuring of the Operations Area, Improvement of the Production Line and Continuous Improvement. Main findings: An Arena simulation system was used to establish a new scenario where the defective product indicator decreases by 3.13% and productivity improves by about 38%. In turn, the resulting increase in the number of orders enhances company sales and profits, as well as the ability to meet the customer demand in a timely manner. Implications for theory and practice: The case study suggests that the main causes of this issue (high order non-fulfillment rate) are the increasing rate of defective goods, delays in the production process, and excessive time consumption in the movement of staff and materials. This research serves as the basis for future lines of research, as well as for other organizations with similar characteristics to implement the proposal.
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  • Integrated Lean-Route Planning model for incident reduction in a courier company: An Empirical Research in Perú

    Gonzalez-Ureta, Jose Carlos; Quiroz-Flores, Juan Carlos (Association for Computing Machinery, 2022-01-12)
    Currently, according to INEI in Peru, the courier sector has suffered a 26% contraction in demand. This means that SMEs belonging to the commerce and courier sector are facing great competition in the market due to the reduction in demand and that the same supply is maintained, i.e., the market has become more competitive. For this reason, SMEs that do not take into consideration this context present problems within their deliveries, these incidences harm the profitability of the company, which leads to a reduction in the level of service. This problem is mainly caused by an inadequate digitization method, an inadequate route assignment and over-deliveries produced by an inadequate plant distribution. To solve this problem, this research proposes an operations model based on Route Planning, SLP and Work Study tools. The research was able to reduce the delivery time by 18.6%, the percentage of classified documents was increased by 29.15% and the percentage of incidents by less than 3%, thus increasing the service level by 22%.
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  • Lean Logistics model to reduce delivery times in a Retail in southern Peru

    Quiroz-Flores, Juan Carlos; Prada-Espinoza, Herbert Ronaldo; Gutierrez-Villanueva, Aaron (Association for Computing Machinery, 2022-01-12)
    The Retail sector has increased steadily internationally and this is reflected in the 5.7% growth in the top 250 global Retail companies which have benefited from the implementation and positioning of E-Commerce. In the Peruvian market is estimated that the Retail sector will grow by 4% this year and the increase in demand showed difficulties in distribution, causing the long delivery times of orders as a problem. For this reason, the proposal developed a distribution and transport model applying Lean Logistics, with a Cross-Docking system, and for the registration and tracking of orders the Bar Code Poka Yoke, with the aim of increasing the service level to 92% order delivery, reducing the time for Store Pickups by 48.71%. The effectiveness of the model was corroborated through a simulation that allows the company to be competitive in the market.
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  • Lean model applied to increase the order fulfillment in SMEs in the footwear industry

    Laura-Ulloa, Guillermo André; Chinchay-Morales, Gianella Natalia; Quiroz-Flores, Juan Carlos (Association for Computing Machinery, 2022-01-12)
    Over the last few years, the Peruvian footwear industry has been affected by the increase in imports, mainly from China, with an FOB value that has risen to 516 million dollars, generating a deficit in the trade balance and forcing producers to become more competitive. Therefore, the national industry seeks to raise the standards of productivity and quality of its products, increasing the service level offered. In this research, it is proposed an improvement model that allows optimizing order fulfillment, which integrates lean manufacturing tools, including 5S, line balancing, and standardized work. After the implementation of the model, the cycle time will be reduced by 27.27%, the number of defective products in the assembly area will decrease by 8. 90%, and in the flooring area by 19.91%. Due to this, it is possible to increase the value of OTIF by 44.48%.
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  • Production model in the peruvian aquaculture industry

    Quiroz-Flores, Juan Carlos; Rios-Del-castillo, Piero; Guia-Espinoza, Renzo (Universidad del Zulia, 2022-01-01)
    This research seeks to validate a production model to improve the production processes of rainbow trout farming in the aquaculture sector of the southern region of Peru. The approach of the production model was determined through the combination of methodologies such as Lean Manufacturing and Business Process Management to facilitate process control, inventory management and production planning. These methodologies were integrated from the review of the literature and the diagnosis made through the collection of primary information from neighboring producers within the department of Junín, in central Peru. The results show the success of the model through its implementation in the fish farms of Junín farmers and a simulation in the ARENA version 14.0 software, in this way optimal results were obtained that show a significant improvement in productivity. The results obtained after the implementation and simulation show an increase of 71.87% in productivity with respect to the initial state, in addition, the production cycle time is reduced by 16.67%. It is concluded that the proposed production model is successful and compatible to improve production processes in the aquaculture sector.
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  • Ancestral technological solutions and their application in current times

    Barbachán Ruales, Enrique Alejandro; Barbachán Villalobos, Miguel Alejandro; Cáceres Coral, Jorge; Ruiz Camus, Carol Nadiezhda; Casas Huamanta, Edwin Roi (University of Cienfuegos, Carlos Rafael Rodriguez, 2022-02-01)
    The present work aims to recognize and revalue the technological solutions that our ancestors applied in accordance with the environment in order to be applied in current times. Quantitative research, of a descriptive type with an ethnographic, technological method, applied to students, teachers and university graduates in the technological and engineering area. The sample is non-probabilistic through convenience sampling. Concluding that, effectively, our ancestors applied various technological solutions in accordance with their environment, among which we find, for the metallurgical mining aspect, the Huayras; in the treatment and planting of water las Amunas; in infrastructure, earthquake-resistant technologies using mesh bags or Shicras; in soil and water management, the waru warus, production in floodplain or riverside areas, agriculture in Amazonian Várzea soils, these technologies have application in current times, which would be profitable and convenient in an eco system. sustainable, only 22% of those surveyed have knowledge of these technologies, so it is necessary to teach them from basic education.
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  • Measuring agri-food supply chain performance: insights from the Peruvian kiwicha industry

    Ramos, Edgar; Coles, Phillip S.; Chavez, Melissa; Hazen, Benjamin (Emerald Group Holdings Ltd., 2022-04-26)
    Purpose: Agri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system. Design/methodology/approach: This research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model. Findings: The resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain. Originality/value: The model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.
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  • Agile Logistics Management Model to Reduce Service Times and Improve Processes Using Lean Service Methodology in Companies in the Electrical Sector

    Palomino, Viviana Barriga; Raffo, Sotelo; Fernando, Juan Luis (Institute of Electrical and Electronics Engineers Inc., 2021-03-01)
    In recent years, according to Osinergmin, the production of electrical energy has increased up to 2.4%. This sector represents 1.5% of GDP and encompasses more than 6.6 million users, so its consumption continues at a growth rate for the country's development. This growth depends on the response time that companies today provide users; many of them operate their logistics management manually and traditionally, which leads to delays in service and dissatisfaction of both the external and internal clients. Likewise, companies in the sector, by working traditionally, do not use technology as a point of competitiveness within the market, since 60% of companies use software for their operations. To do this, an agile logistics management model is proposed that will consist of reducing purchase order attention time by 50% and improving internal processes and procedures under the Lean Service methodology. It will start by identifying the main problem and the expected objectives, then the Lean Service, Business Process Management and Agile Logistics tools will be executed, which will help to reestablish new processes and procedures.
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  • Improvement of warehouses of distribution companies through lean warehouse and an allocation algorithm

    Nuñez-Castaneda, Yaninna; Moreno-Samanamud, Manuel; Shinno-Huamani, Miguel; Maradiegue-Tuesta, Fernando; Alvarez-Merino, Jose (Institute of Electrical and Electronics Engineers Inc., 2019-10-01)
    The wholesale trading companies are facing new challenges in terms of the level of service, which is an important factor which determines the level of sales and profitability of companies. Thus, currently, companies are aimed to deliver orders to their respective customers on time, in good condition and complete. This file focuses on the importance of warehouse management for mass consumption distributors, since it's the warehouses that determine the operation and productivity costs of these. Thus, some innovative techniques such as the lean warehouse and allocation tools improve working conditions with the aim of reducing downtime and distances. A pilot programme of implementation of the tools mentioned in the warehouse of a wholesale distributor was carried out. As a result of the research, the distance traveled in the warehouse was reduced by 22%, the reduction of times in the picking process, achieving the optimal delivery time and generating an increase in the sales made of 215,720.22 soles. These results prove to be decisive in the performance of the supply chain (inventory, cost, delay and risk), since the key to success for this industry is to satisfy the needs of customers in the shortest possible time.
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  • Combined Model of Lean Six Sigma and Work Method for a Peruvian Ammunition Manufacturing

    Mego-Aranguri, Cristhian; Roque-Soriano, Maria; Carvallo-Munar, Edgardo; Salas-Castro, Rosa; Cardenas-Rengifo, Luis (Institute of Electrical and Electronics Engineers Inc., 2020-09-30)
    In the arms industry, quality is essential because its products are used for special purposes. Therefore, in production, the rate of defective products is low. This study proposes a model to reduce the number of defective products based on the combined use of the Six Sigma and work method tools. For the purposes of this study, the production process of the 7.62 mm ammunition was analyzed because it presents several issues that affect product quality. The current methods and procedures of the production process were analyzed to identify the root causes of the problem and to provide a solution. After implementing the model, defective products were reduced from 20% to 13.67%..
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  • Lean Manufacturing tools applied to the metalworking industry in Perú

    Arbieto, Miguel; Vasquez, Jose; Altamirano, Ernesto; Alvarez, Jose; Marcelo, Eloy (Institute of Electrical and Electronics Engineers Inc., 2020-09-30)
    Small and medium-sized enterprises often rely heavily on their production process to position themselves in the market. However, there are few situations where companies have the knowledge and financial resources to improve their operational performance. This study proposes the use of the tools of the Lean Manufacturing philosophy to reduce most activities that do not add value within the production process. First, the diagnosis of the current situation of the company under study was carried out, as well as the determination of the impact caused by the problems encountered. Secondly, the design of the solution proposal was proposed using 5S, SMED and SLP to mitigate the causes of the previously diagnosed problems. Finally, in the simulation, the production system and the changes proposed obtained a reduction in the lead time, due to the reduction of the unproductive times identified, of 6.79%.
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  • Production management model through MPS and line balancing to reduce the non-fulfillment of orders in lingerie clothing MSEs in Peru

    Flores-Andrade, K.; Guardia-Miranda, R.; Castro-Rangel, P.; Raymundo-Ibañez, C.; Perez, M. (Institute of Physics Publishing, 2020-04-06)
    The focus of this research is to establish control and planning management in the sewing production process of lingerie clothing to better prepare companies for demand growth. The lack of improvement tools in this sector, the lack of staff training and a lack of quality culture has led to companies, especially MYPES, not being able to meet the established delivery times and non-fulfillment of orders with the customers, which represents 80% of dissatisfied orders due to the limited production capacity and non-productive time in the plant. This problem is due to limited production capacity, deficient production planning, and lack of materials. In order to solve this problem, industrial engineering tools were used. The application of these tools improved production from 79% to 95%.
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  • LEAN maintenance model based on change management allowing the reduction of delays in the production line of textile SMEs in Peru

    Arrascue-Hernandez, G.; Cabrera-Brusil, J.; Chavez-Soriano, P.; Raymundo-Ibañez, C.; Perez, M. (Institute of Physics Publishing, 2020-04-06)
    This article examines the problem of production line delays in a textile small- and medium-sized enterprise (SME) that produces polyester fibre from recycled bottles, based on orders. Factors that have resulted in production line delays include prolonged unscheduled maintenance time, and preparations and adjustments prior to operating the equipment. To address the problem, a model was developed applying lean manufacturing tools through change management, with the aim of increasing equipment availability and useful life. To validate the model, a pilot was developed to determine how the increase in equipment availability helps reduce delays in the production line, which eventually improves completion of customer orders.
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  • Lean Manufacturing Production Management Model using the Johnson Method Approach to Reduce Delivery Delays for Printing Production Lines in the Digital Graphic Design Industry

    Gomero-Campos, A.; Mejia-Huayhua, R.; Leon-Chavarri, C.; Raymundo-Ibañez, C.; Dominguez, F. (Institute of Physics Publishing, 2020-04-06)
    Several factors compel graphic design companies to improve efficiency and competitiveness in their production lines. However, these companies are not prepared to take on this challenge, as they report delays in 20% of their deliveries, caused by high setup times, low machine availability, and poor work scheduling. In this context, this study proposes a new production management model fed by the interaction of lean manufacturing tools and the Johnson scheduling method. This model has been validated by direct application at the SISSA. The results obtained were the reduction of the setup time to 15 minutes, increased machine availability up to 24%, and an efficient scheduling of its tasks. All of these reduced the percentage of delivery delays from 20% to 6%.
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  • Layout Lean model of production management based on change management to improve efficiency in the production of packaging in auto parts sector SMEs

    Mancilla-Escobar, J.; Maccasi-Jaurequi, I.; Raymundo-Ibañez, C.; Perez, M. (Institute of Physics Publishing, 2020-04-06)
    This investigation proposes a lean model of production management for a small and micro enterprise (SME) dealing in packaging production in the auto parts sector, with the purpose of increasing efficiency in its production line. To this end, this model integrates study method tools and SMED, seeking to reduce waiting times and unnecessary operations, which have been identified as causing the problem on the basis of an initial diagnosis of the situation. Furthermore, to support and guarantee success in implementing these tools, John Kotter's Change Model is used. After two months of implementation, the results showed a 50% reduction in setup operation time and a 32% decrease in filing operation time, which are bottlenecks in the production process. Thus, with the new indicators, the line efficiency increased by 7% from the initial situation, thus showing improvement.
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  • Lean production management model under the change management approach to reduce order fulfillment times for Peruvian textile SMEs

    Durand-Sotelo, L.; Monzon-Moreno, M.; Chavez-Soriano, P.; Raymundo-Ibañez, C.; Dominguez, F. (Institute of Physics Publishing, 2020-04-06)
    Currently, small- and medium-sized enterprises face order fulfillment issues, thus generating reduced service levels. In addition, these companies are usually not aware of the importance of continuous improvement tools or of training staff as a mitigation strategy for this situation. Within this framework, the authors performed a literature review to compile production models through which downtimes could be reduced. The production model designed therefrom comprises Lean Manufacturing and work study tools within a Change Management approach. This design focuses on model implementation by small companies without requiring large investment, cutting-edge technology, or qualified personnel. Finally, an application case study was conducted in a small textile manufacturing company located at the Gamarra Fashion Center in Lima, Peru. The results that were reported revealed that late order fulfillment instances reduced by up to 18%, which had an impact on downtimes, unnecessary movements, and in-process inventory levels, thus increasing productivity by 85%.
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  • SCOR Model for a Dual-Channel Supply Chain using Drop Shipping to Reduce Overstock in Small- and Medium-Sized Retail Enterprises

    Francia-Arias, G.; Marín-Vílchez, J.; Macassi-Jauregui, I.; Raymundo-Ibañez, C.; Dominguez, F. (Institute of Physics Publishing, 2020-04-06)
    Sales are central to retail companies. One of the main problems for these companies is when products are sold later than expected, causing overstock due to lower inventory turnover, which increases inventory levels. Therefore, for many retailers, it is important to solve this problem. This is mostly applicable to companies engaged in sales; however, if we take into account the main supplier and the way they act within the supply chain, we must also consider an additional approach. Since online sales are a major innovation brought about by the new digital era, it is standard for sales strategies to focus on this new requirement of customers. In this way, the main supplier takes a leap forward on Internet sales, creating another sales channel. This is when companies under the supply chain start losing sales. According to the above, a dual supply chain model was suggested using the SCOR model and drop shipping. After the improvement proposal was implemented, the company reported a reduction of approximately S/13,000 when comparing the first quarter of 2018 to that of 2019.
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  • Lean Manufacturing Production Method using the Change Management Approach to Reduce Backorders at SMEs in the Footwear Industry in Peru

    Dextre-Del-Castillo, D.; Urruchi-Ortega, S.; Peñafiel-Carrera, J.; Raymundo-Ibañez, C.; Dominguez, F. (Institute of Physics Publishing, 2020-04-06)
    This article proposes a production method that aims to increase the manufacturing capacity of a footwear small- and medium-sized enterprise (SME) to reduce backorders. Therefore, an assessment is carried out and delays in production processes, excess product transport time, defective products, and inefficient work methods are identified. This article proposes designing a Lean manufacturing method using the change management approach, whose methodology is composed of six phases. In phase 0, change management is carried out; in phase 1, the company's current situation is reviewed using the Value Stream Mapping (VSM); in phase 2, the work area is reorganized (implementing SLP and 5S); in phase 3, production is balanced (implementing Line Balancing); in phase 4, continual improvement is established using the Kaizen tool; and finally, in phase 5, the results are evaluated. Through validation, it was possible to confirm that Lean manufacturing tools along with change management increased order deliveries by 82%.
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