Transportation and distribution are two components that affect a company's competitive advantage because a decrease in distribution costs can indirectly increase the company's profits. The higher the level of competition, it requires companies to be able to make good distribution strategies. Some of the problems that exist in PT. Energi Niaga Utama in distributing diesel fuel to companies is the delay in the distribution process, in which diesel fuel uses a 16 KL tank car. Therefore, this study wants to minimize the total route and distribution costs to provide profits and minimize company losses. In this study, the determination of the saving matrix method helps solve distribution problems. Based on the calculation using the saving matrix method, two stages of delivery were obtained with as many as 12 shipping routes so that each company did not delay the delivery of diesel fuel for the company's initial route distance of 2,018.6 km with a total distribution cost of Rp. 11.959.158, by using the saving matrix method, can provide distance savings of 1,552.8 km with a total distribution cost of Rp. 11.300.240, the percentage of distance savings is 23.07%, and the percentage of distribution cost savings is 5.5%.
运输和分销是影响公司竞争优势的两个组成部分，因为分销成本的降低可以间接增加公司的利润。竞争水平越高，就要求企业能够制定良好的分销策略。PT. Energi Niaga Utama在向企业配送柴油时存在的一些问题是配送过程的延迟，因为柴油需要使用16 KL的油罐车。因此，本研究希望使总路线和配送成本最小化，以提供利润，使公司损失最小化。在本研究中，节省矩阵的确定方法有助于解决分配问题。根据节约矩阵法的计算，得到两个阶段的交付，最多有12条运输路线，每个公司不延迟交付柴油，公司初始路线距离为2,018.6 km，总配送成本为Rp. 11.959.158，使用节约矩阵法，可以提供距离节省1,552.8 km，总配送成本为Rp. 11.300.240，距离节省百分比为23.07%。配送成本节约比例为5.5%。
{"title":"DETERMINATION OF DELIVERY FUEL DISTRIBUTION ROUTES TO MINIMIZE TOTAL DISTRIBUTION COSTS WITH THE SAVING MATRIX METHOD AT PT. ENERGI NIAGA UTAMA","authors":"Moch. Haidar Alwi Ramadhan, Enny Ariyani","doi":"10.33536/jiem.v8i2.1399","DOIUrl":"https://doi.org/10.33536/jiem.v8i2.1399","url":null,"abstract":"Transportation and distribution are two components that affect a company's competitive advantage because a decrease in distribution costs can indirectly increase the company's profits. The higher the level of competition, it requires companies to be able to make good distribution strategies. Some of the problems that exist in PT. Energi Niaga Utama in distributing diesel fuel to companies is the delay in the distribution process, in which diesel fuel uses a 16 KL tank car. Therefore, this study wants to minimize the total route and distribution costs to provide profits and minimize company losses. In this study, the determination of the saving matrix method helps solve distribution problems. Based on the calculation using the saving matrix method, two stages of delivery were obtained with as many as 12 shipping routes so that each company did not delay the delivery of diesel fuel for the company's initial route distance of 2,018.6 km with a total distribution cost of Rp. 11.959.158, by using the saving matrix method, can provide distance savings of 1,552.8 km with a total distribution cost of Rp. 11.300.240, the percentage of distance savings is 23.07%, and the percentage of distribution cost savings is 5.5%.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"49 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86568337","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}
ABSTRAK Air emission not only from waste or gas from chimney of factory or ships in port, but also from leaking gas of freon/chloro in air that can damaging the ozone. Our current understanding of the sources and increase in emissions of leaked refrigerant gases derives from two data sources: ground-based and airborne point measurements, or from reports of the quantity of products manufactured and purchased. Thus, port-related air pollutant emissions and their environmental impacts are not systematically reported. The solution to the environmental impacts of refrigerant gases would therefore pass by a gas which contains no chlorine no fluorine and does not reject any CO2 emissions in the atmosphere, in brief a green gas. The method used is expected to be able to map the center of the pollutant source.
{"title":"META ANALYSIS THE EMISION OF GREEN PORT CITY : A LITERATURE REVIEW","authors":"Taufik Ibrahim, D. Nurkertamanda, H. Suliantoro","doi":"10.33536/jiem.v8i2.1499","DOIUrl":"https://doi.org/10.33536/jiem.v8i2.1499","url":null,"abstract":"ABSTRAK Air emission not only from waste or gas from chimney of factory or ships in port, but also from leaking gas of freon/chloro in air that can damaging the ozone. Our current understanding of the sources and increase in emissions of leaked refrigerant gases derives from two data sources: ground-based and airborne point measurements, or from reports of the quantity of products manufactured and purchased. Thus, port-related air pollutant emissions and their environmental impacts are not systematically reported. The solution to the environmental impacts of refrigerant gases would therefore pass by a gas which contains no chlorine no fluorine and does not reject any CO2 emissions in the atmosphere, in brief a green gas. The method used is expected to be able to map the center of the pollutant source.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"29 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89592008","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}
A proper quality management system is essential for managing company activities to meet customer requirements. Management of quality necessitates an organizational structure, roles, processes, and resources. In this situation, the analyzed small and medium enterprises (SMEs) have limited human resources and non-standard procedures; So, in order to improve their quality management system, companies need both internal and external support. The objective of this design is to create and document ISO 9001:2015 quality management standards in order to improve consumer satisfaction. This research employs gap analysis and risk analysis as its methods. The results obtained from the gap analysis calculation in clause 5 receive the highest score of 71%, while the other clauses receive less than 50%, stating that a quality management system based on ISO 9001:2015 has not been implemented. Proposals in the design of a quality management system in the form of creating documents based on discrepancies and voids that have been identified.
{"title":"ISO 9001:2015 QUALITY MANAGEMENT SYSTEM DESIGN IN SMES","authors":"Puti Renosori, H. Oemar, Aripah Sita Apriani","doi":"10.33536/jiem.v8i2.1414","DOIUrl":"https://doi.org/10.33536/jiem.v8i2.1414","url":null,"abstract":"A proper quality management system is essential for managing company activities to meet customer requirements. Management of quality necessitates an organizational structure, roles, processes, and resources. In this situation, the analyzed small and medium enterprises (SMEs) have limited human resources and non-standard procedures; So, in order to improve their quality management system, companies need both internal and external support. The objective of this design is to create and document ISO 9001:2015 quality management standards in order to improve consumer satisfaction. This research employs gap analysis and risk analysis as its methods. The results obtained from the gap analysis calculation in clause 5 receive the highest score of 71%, while the other clauses receive less than 50%, stating that a quality management system based on ISO 9001:2015 has not been implemented. Proposals in the design of a quality management system in the form of creating documents based on discrepancies and voids that have been identified.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"38 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73723776","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}
H. Oemar, Hilda Farah Safira, D. Mulyati, A. Saleh
This research is focused on the desire of companies to change their yogurt packaging from thin plastic pouches to stronger ones. The purpose of packaging redesign is not only to overcome the problem of packaging durability but also to make new packaging more attractive to consumers so that the selling value is higher. Thus, packaging that is technically feasible and represents the customer's preferences for the company's products is needed. In addition, companies must also consider the long-term environmental impact. Redesigning the packaging using the eco-design concept and the Kansei Engineering Method. Eco-design is used to determine the environmental impact of packaging, while Kansei Engineering is used as a product design tool. The eco-design assessment of the suggested packaging shows that the packaging is more environmentally friendly than the current packaging. Kansei Engineering's findings include cylinder-shaped yogurt packaging made from aseptic cardboard and full color with a packaging design that is fresh, cheap, beautiful, strong, environmentally friendly, ergonomic, complete with product information, a halal logo, and unique
{"title":"REDESIGN ECO-FRIENDLY YOGURT PACKAGING USING KANSEI ENGINEERING METHOD","authors":"H. Oemar, Hilda Farah Safira, D. Mulyati, A. Saleh","doi":"10.33536/jiem.v8i2.1630","DOIUrl":"https://doi.org/10.33536/jiem.v8i2.1630","url":null,"abstract":"This research is focused on the desire of companies to change their yogurt packaging from thin plastic pouches to stronger ones. The purpose of packaging redesign is not only to overcome the problem of packaging durability but also to make new packaging more attractive to consumers so that the selling value is higher. Thus, packaging that is technically feasible and represents the customer's preferences for the company's products is needed. In addition, companies must also consider the long-term environmental impact. Redesigning the packaging using the eco-design concept and the Kansei Engineering Method. Eco-design is used to determine the environmental impact of packaging, while Kansei Engineering is used as a product design tool. The eco-design assessment of the suggested packaging shows that the packaging is more environmentally friendly than the current packaging. Kansei Engineering's findings include cylinder-shaped yogurt packaging made from aseptic cardboard and full color with a packaging design that is fresh, cheap, beautiful, strong, environmentally friendly, ergonomic, complete with product information, a halal logo, and unique","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"8 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84495617","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}
Jabier Retegi Albisua, Juan Ignacio Igartua López, B. Kamp
Purpose: This article reports on a study of greenhouse gases emitted by industrial manufacturing sectors and gives insights into the appropriate orientation of emission reduction public programmes for better efficiency.Design/methodology/approach: For this study, a classification of industrial manufacturing sectors based on their greenhouse gas emissions profiles was performed. Using economic data on the consumption of energy sources and a conversion process to obtain an estimation of greenhouse gas emissions, a profile of the direct/indirect emissions, concentration of emissions, total emissions and electrification level of each sector was developed. Finally, the sectors were segmented into four groups.Findings: The emissions profile of each of the identified sector segments features specific characteristics; therefore, public programmes promoting greenhouse gas reduction should be specific to each segment. Special attention should be given to the segment that features a large amount of emissions concentrated in a relatively low number of firms and a low level of electrification but appears to use public funds disproportionate to their emissions.Research limitations/implications: Due to the lack of data, some big emitter sectors, such as extractive industries and petroleum refining industries, are not included in the study.Practical implications: Public programmes should consider different approaches to reducing greenhouse gas emissions based on sectoral segmentation. General projects are proposed for each of the identified segments.Social implications: Improved public programmes should foster the reduction of greenhouse gas emissions and the United Nation’s Sustainable Development Goals 7 and 12.Originality/value: The methodology proposed in this paper allows research to go beyond consideration of the local emissions of an industry to measure its direct and indirect emissions and focus on the firms that should invest in reducing them.
{"title":"Classification of industrial sectors based on their profiles of greenhouse gas emissions and policy implications","authors":"Jabier Retegi Albisua, Juan Ignacio Igartua López, B. Kamp","doi":"10.3926/jiem.5375","DOIUrl":"https://doi.org/10.3926/jiem.5375","url":null,"abstract":"Purpose: This article reports on a study of greenhouse gases emitted by industrial manufacturing sectors and gives insights into the appropriate orientation of emission reduction public programmes for better efficiency.Design/methodology/approach: For this study, a classification of industrial manufacturing sectors based on their greenhouse gas emissions profiles was performed. Using economic data on the consumption of energy sources and a conversion process to obtain an estimation of greenhouse gas emissions, a profile of the direct/indirect emissions, concentration of emissions, total emissions and electrification level of each sector was developed. Finally, the sectors were segmented into four groups.Findings: The emissions profile of each of the identified sector segments features specific characteristics; therefore, public programmes promoting greenhouse gas reduction should be specific to each segment. Special attention should be given to the segment that features a large amount of emissions concentrated in a relatively low number of firms and a low level of electrification but appears to use public funds disproportionate to their emissions.Research limitations/implications: Due to the lack of data, some big emitter sectors, such as extractive industries and petroleum refining industries, are not included in the study.Practical implications: Public programmes should consider different approaches to reducing greenhouse gas emissions based on sectoral segmentation. General projects are proposed for each of the identified segments.Social implications: Improved public programmes should foster the reduction of greenhouse gas emissions and the United Nation’s Sustainable Development Goals 7 and 12.Originality/value: The methodology proposed in this paper allows research to go beyond consideration of the local emissions of an industry to measure its direct and indirect emissions and focus on the firms that should invest in reducing them.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"82 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84042700","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}
Purpose: The purpose of this study was to determine how the variables of supply chain performance, performance of medical personnel, and occupancy overload affect operating performance moderated by dynamic capability variables. In a case study of public health center in Indonesia.Design/methodology/approach: This study uses the SEM-PLS quantitative method to analyze the questionnaire data obtained from 112 respondents consisting of medical administrators, nurses, and doctors. Validity and reliability tests were also used to ensure that the data were normally distributed and reliable.Findings: This study found that the supply chain performance variable and the performance of medical personnel had a positive effect on the operational performance of the public health center either through moderating the dynamic capability variable or not. Meanwhile, occupancy overload was found to have a negative effect on the operational performance of the public health center. And the moderating of the dynamic capability variable is only able to reduce its negative impact.Research limitations/implications: This study covers only a small number of public health center in Indonesia, so it is quite difficult to produce generalizable findings. This study also did not involve other internal and external variables that could potentially affect the operational performance of the public health center.Practical implications: The findings of this study can be a suggestion for the government and the management of the public health center to pay more attention to the variables that affect the operational performance of the public health center. Variables that have a positive impact should be increased and variables that have a negative impact should be mitigated.Social implications: Health centers that have effective and efficient operating management will be able to maximize the performance of patient services armed with available resources. The findings of this study can help the public health center to anticipate a surge in patient visits which can reduce the operating performance of the public health center.Originality/value: This study combines the variables of supply chain performance, medical personnel performance, occupancy overload, dynamic capability, and operating performance in one causality model framework. In contrast to other studies that did it separately.
{"title":"Relationship of supply chain performance, medical personnel performance, and occupancy overload moderated by dynamic capabilities on operation performance public health center in Indonesia","authors":"R. Perdana, Dwi Kartini, Y. Azis, U. Kaltum","doi":"10.3926/jiem.4644","DOIUrl":"https://doi.org/10.3926/jiem.4644","url":null,"abstract":"Purpose: The purpose of this study was to determine how the variables of supply chain performance, performance of medical personnel, and occupancy overload affect operating performance moderated by dynamic capability variables. In a case study of public health center in Indonesia.Design/methodology/approach: This study uses the SEM-PLS quantitative method to analyze the questionnaire data obtained from 112 respondents consisting of medical administrators, nurses, and doctors. Validity and reliability tests were also used to ensure that the data were normally distributed and reliable.Findings: This study found that the supply chain performance variable and the performance of medical personnel had a positive effect on the operational performance of the public health center either through moderating the dynamic capability variable or not. Meanwhile, occupancy overload was found to have a negative effect on the operational performance of the public health center. And the moderating of the dynamic capability variable is only able to reduce its negative impact.Research limitations/implications: This study covers only a small number of public health center in Indonesia, so it is quite difficult to produce generalizable findings. This study also did not involve other internal and external variables that could potentially affect the operational performance of the public health center.Practical implications: The findings of this study can be a suggestion for the government and the management of the public health center to pay more attention to the variables that affect the operational performance of the public health center. Variables that have a positive impact should be increased and variables that have a negative impact should be mitigated.Social implications: Health centers that have effective and efficient operating management will be able to maximize the performance of patient services armed with available resources. The findings of this study can help the public health center to anticipate a surge in patient visits which can reduce the operating performance of the public health center.Originality/value: This study combines the variables of supply chain performance, medical personnel performance, occupancy overload, dynamic capability, and operating performance in one causality model framework. In contrast to other studies that did it separately.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"141 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73025555","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}
Purpose: Define a simple and efficient method to allocate costs and benefits in energy communities, and characterize some of its key properties.Design/methodology/approach: The approach is theoretical. We define an algorithm to allocate costs and benefits in energy communities, and derive some of its formal properties using mathematical reasoning. We also compare the proposed algorithm with several alternatives.Findings: The proposed algorithm is simple and it ensures that the resulting distribution of costs and benefits is (i) beneficial for every member of the community, (ii) efficient, (iii) fair (in a formally defined sense), (iv) smooth (small changes in the consumption or in the generation of energy cannot lead to big changes in the allocation of costs and benefits), and (v) environmentally friendly in the sense that the individual allocated cost is a strictly increasing function of individual consumption.Research limitations/implications: The properties of the proposed algorithm are satisfied for a specific type of energy community that is defined in the manuscript. Practical implications: The algorithm is easy to implement in any energy community.Social implications: The algorithm is highly relevant for any community of prosumers who are willing to exchange energy internally. It guarantees a number of desirable properties that are formally defined in the paper.Originality/value: We prove that a simple algorithm to allocate costs and benefits in energy communities guarantees the fulfilment of several desirable properties.
{"title":"A simple and efficient method to allocate costs and benefits in energy communities","authors":"David Gonzalez-Asenjo, L. Izquierdo, J. Sedano","doi":"10.3926/jiem.5514","DOIUrl":"https://doi.org/10.3926/jiem.5514","url":null,"abstract":"Purpose: Define a simple and efficient method to allocate costs and benefits in energy communities, and characterize some of its key properties.Design/methodology/approach: The approach is theoretical. We define an algorithm to allocate costs and benefits in energy communities, and derive some of its formal properties using mathematical reasoning. We also compare the proposed algorithm with several alternatives.Findings: The proposed algorithm is simple and it ensures that the resulting distribution of costs and benefits is (i) beneficial for every member of the community, (ii) efficient, (iii) fair (in a formally defined sense), (iv) smooth (small changes in the consumption or in the generation of energy cannot lead to big changes in the allocation of costs and benefits), and (v) environmentally friendly in the sense that the individual allocated cost is a strictly increasing function of individual consumption.Research limitations/implications: The properties of the proposed algorithm are satisfied for a specific type of energy community that is defined in the manuscript. Practical implications: The algorithm is easy to implement in any energy community.Social implications: The algorithm is highly relevant for any community of prosumers who are willing to exchange energy internally. It guarantees a number of desirable properties that are formally defined in the paper.Originality/value: We prove that a simple algorithm to allocate costs and benefits in energy communities guarantees the fulfilment of several desirable properties.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"18 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75028168","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}
Najat Almasarwah, Esraa S. Abdelall, G. Suer, Gokhan Egilmez, Manjeet Singh, S. Ramadan
Purpose: This paper studies a 3-dimensional pallet loading problem considering interlock stacking pattern, box dimensions, humidity, and storage time, where overlapping and overhanging are not allowed. Despite the importance of this problem in the literature, our work provides the first method that considers the environmental conditions such as 1) storage time and 2) humidity, and their tremendous impacts on the strength of the boxes, as has been observed widely in the DHL supply chain.Design/methodology/approach: This paper proposes a two-phase heuristic algorithm to solve a 3-dimensional pallet loading problem under real conditions (relative humidity, and storage time) considering interlock stacking patterns, where overlapping and overhanging are not allowed. In phase 1, the horizontal layer configuration is determined by block techniques. Three types of horizontal layers are created based on box dimensions perpendicular to the base. In phase 2, a novel mathematical model is propounded to improve the pallet volume utilization, and stability considering the pallet's maximum allowable height and weight, and the dynamic compression strength of boxes. The dynamic compression strength of boxes is calculated by the modified McKee formula. Two performance measures, pallet volume utilization and stability (load height), are utilized to evaluate the performance of the proposed heuristic algorithm in real-world instances (DHL Supply Chain). Findings: The results illustrated that the dynamic compression strength of boxes decreases as the relative humidity and storage time increase. The load height changes dynamically along with box dimensions, box alignment, direction, relative humidity, and storage time. Increasing relative humidity and storage time and applying an interlock stacking pattern reduce the pallet utilization, however, enhance the pallet stability. Finally, the proposed heuristic algorithm's efficacy increases as the identical boxes dimensions' heterogeneity increases.Originality/value: It is believed in the supply chain where these characteristics are observed, the implementation of the heuristic algorithm will help them improve the pallet volume utilization and stability.
{"title":"Pallet loading optimization considering storage time and relative humidity","authors":"Najat Almasarwah, Esraa S. Abdelall, G. Suer, Gokhan Egilmez, Manjeet Singh, S. Ramadan","doi":"10.3926/jiem.4613","DOIUrl":"https://doi.org/10.3926/jiem.4613","url":null,"abstract":"Purpose: This paper studies a 3-dimensional pallet loading problem considering interlock stacking pattern, box dimensions, humidity, and storage time, where overlapping and overhanging are not allowed. Despite the importance of this problem in the literature, our work provides the first method that considers the environmental conditions such as 1) storage time and 2) humidity, and their tremendous impacts on the strength of the boxes, as has been observed widely in the DHL supply chain.Design/methodology/approach: This paper proposes a two-phase heuristic algorithm to solve a 3-dimensional pallet loading problem under real conditions (relative humidity, and storage time) considering interlock stacking patterns, where overlapping and overhanging are not allowed. In phase 1, the horizontal layer configuration is determined by block techniques. Three types of horizontal layers are created based on box dimensions perpendicular to the base. In phase 2, a novel mathematical model is propounded to improve the pallet volume utilization, and stability considering the pallet's maximum allowable height and weight, and the dynamic compression strength of boxes. The dynamic compression strength of boxes is calculated by the modified McKee formula. Two performance measures, pallet volume utilization and stability (load height), are utilized to evaluate the performance of the proposed heuristic algorithm in real-world instances (DHL Supply Chain). Findings: The results illustrated that the dynamic compression strength of boxes decreases as the relative humidity and storage time increase. The load height changes dynamically along with box dimensions, box alignment, direction, relative humidity, and storage time. Increasing relative humidity and storage time and applying an interlock stacking pattern reduce the pallet utilization, however, enhance the pallet stability. Finally, the proposed heuristic algorithm's efficacy increases as the identical boxes dimensions' heterogeneity increases.Originality/value: It is believed in the supply chain where these characteristics are observed, the implementation of the heuristic algorithm will help them improve the pallet volume utilization and stability.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"126 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73433152","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}
Israel Naranjo, María Porras, Daysi Ortiz, Franklin Tigre, Carlos Sánchez, Edith Tubón, Sandra Carrillo, Christian Mariño, Jéssica López, Freddy Lema, César Rosero
Purpose: Use mathematical models of Mixed Integer Linear Programming oriented to cellular distribution and aggregate production planning in order to obtain the appropriate product family for each manufacturing cell and from this, minimize production and material handling costs through the allocation of production resources.Design/methodology/approach: This article develops two mathematical models in LINGO 18.0 software, performing the computational calculation to obtain the best efficiency in cell formation at minimum production cost.Findings: The mathematical model oriented to the formation of manufacturing cells allows a grouping of products and machines with 82.5% group efficiency. By reallocating machines to each cell and redistributing facilities, the cost of material handling is reduced by 35.1%, and the distance traveled in product manufacturing is reduced by 26.6%. The mathematical model of aggregated planning provides information on production resource requirements such as personnel, machinery, distances traveled, as well as the cost generated by the need to outsource part of the production, inventory maintenance and overtime work.Research limitations/implications: It is necessary to clearly define the capacity variables. The model does not take into account the cost of mobilizing machines and readjusting facilities.Practical implications: The case study company can adequately plan production and efficiently manage its resources.Social implications: The study can be applied to other textile SMEs.Originality/value: The aggregate production planning model requires the assignment of the mathematical model of manufacturing cell formation in order to calculate the resource requirements needed to meet a demand.
{"title":"Mathematical models for the formation and evaluation of manufacturing cells in a textile company: A case study","authors":"Israel Naranjo, María Porras, Daysi Ortiz, Franklin Tigre, Carlos Sánchez, Edith Tubón, Sandra Carrillo, Christian Mariño, Jéssica López, Freddy Lema, César Rosero","doi":"10.3926/jiem.4143","DOIUrl":"https://doi.org/10.3926/jiem.4143","url":null,"abstract":"Purpose: Use mathematical models of Mixed Integer Linear Programming oriented to cellular distribution and aggregate production planning in order to obtain the appropriate product family for each manufacturing cell and from this, minimize production and material handling costs through the allocation of production resources.Design/methodology/approach: This article develops two mathematical models in LINGO 18.0 software, performing the computational calculation to obtain the best efficiency in cell formation at minimum production cost.Findings: The mathematical model oriented to the formation of manufacturing cells allows a grouping of products and machines with 82.5% group efficiency. By reallocating machines to each cell and redistributing facilities, the cost of material handling is reduced by 35.1%, and the distance traveled in product manufacturing is reduced by 26.6%. The mathematical model of aggregated planning provides information on production resource requirements such as personnel, machinery, distances traveled, as well as the cost generated by the need to outsource part of the production, inventory maintenance and overtime work.Research limitations/implications: It is necessary to clearly define the capacity variables. The model does not take into account the cost of mobilizing machines and readjusting facilities.Practical implications: The case study company can adequately plan production and efficiently manage its resources.Social implications: The study can be applied to other textile SMEs.Originality/value: The aggregate production planning model requires the assignment of the mathematical model of manufacturing cell formation in order to calculate the resource requirements needed to meet a demand.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"78 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90481930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-30DOI: 10.24867/ijiem-2023-2-330
Suzana Regina Moro, P. Cauchick-Miguel, Thayla Tavares de Sousa-Zomer, Glauco Henrique de Sousa Mendes
[1] C.L França, G. Broman, K.H. Robert, G. Basile and L. Trygg, “An approach to business model innovation and design for strategic sustainable development”, J. Cleaner Prod., vol. 140, pp. 155-166, 2017, doi: 10.1016/j.jclepro.2016.06.124. [2] L.N. Van Wassenhove, “Sustainable Innovation: Pushing the Boundaries of Traditional Operations Management”, Prod. Operations Manage., vol. 28, n.12, pp. 2930–2945, Out. 2019, doi: 10.1111/poms.13114. [3] A. Petrulaityte, F. Ceschin, E. Pei and D. Harrison, “Applying Distributed Manufacturing to Product-Service System Design: A Set of Near-Future Scenarios and a Design Tool”, Sustainability, vol. 12, n. 12, p. 4918, Jun. 2020, doi: 10.3390/su12124918. [4] L. Melander and H. Wallström, “The benefits of green horizontal networks: Lessons learned from sharing charging infrastructure for electric freight vehicles”, Bus. Strategy Environ., pp. 1-12, Ago. 2022, doi: 10.1002/bse.3222. [5] P. Zheng, Z. Wang, C.-H. Chen and L. Pheng Khoo, “A survey of smart product service systems: Key aspects, challenges and future perspectives”, Adv. Eng. Inform., vol. 42, pp. 100973, Out. 2019, doi: 10.1016/j.aei.2019.100973. [6] T. Kaihara et al., “Value creation in production: Reconsideration from interdisciplinary approaches”, CIRP Ann., vol. 67, n. 2, pp. 791–813, 2018, doi: 10.1016/j.cirp.2018.05.002. [7] M. Fargnoli, N. Haber and T. Sakao, “PSS modularisation: a customer-driven integrated approach”, Int. J. Prod. Res., vol. 57, n. 13, pp. 4061–4077, Jul. 2018, doi: 10.1080/00207543.2018.1481302. [8] M.M. Kamal, U. Sivarajah, A.Z. Bigdeli, F. Missi and Y. Koliousis, “Servitization implementation in the manufacturing organisations: Classification of strategies, definitions, benefits and challenges”, Int. J. Inf. Manage., vol. 55, p. 102206, Dez. 2020, doi: 10.1016/j.ijinfomgt.2020.102206. [9] G. May, S. Cho, A.T. Correia, R. Siafaka, D. Stokic and D. Kiritsis, “Toward a reference terminology for product-service systems in the manufacturing domain”, Comput. Industry, vol. 142, p. 103729, Nov. 2022, doi: 10.1016/j.compind.2022.103729. [10] M. Boehm and O. Thomas, “Looking beyond the rim of one's teacup: a multidisciplinary literature review of Product-Service Systems in Information Systems, Business Management, and Engineering & Design”, J. Cleaner Prod., vol. 51, pp. 245–260, Jul. 2013, doi: 10.1016/j.jclepro.2013.01.019. [11] S.R. Moro, P.A. Cauchick-Miguel and G.H.S. Mendes, “Adding sustainable value in product-service systems business models design: A conceptual review towards a framework proposal”, Sustain. Prod. Consumption, Abr. 2022, doi: 10.1016/j. spc.2022.04.023. [12] F. Mahut, J. Daaboul, M. Bricogne and B. Eynard, “Product-Service Systems for servitization of the automotive industry: a literature review”, Int. J. Prod. Res., vol. 55, n. 7, pp. 2102–2120, Nov. 2016, doi: 10.1080/00207543.2016.1252864. [13] Navigant Research, “ESCO Global Market Analysis and Forecast”, https://www.navigantresearch.com/reports/esco-glo
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