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Decision Making in Manufacturing and Services最新文献

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Risk management in the heating industry 供热行业的风险管理
Decision Making in Manufacturing and Services Pub Date : 2024-05-10 DOI: 10.7494/dmms.2022.16.5995
N. Iwaszczuk, Aleksander Iwaszczuk
{"title":"Risk management in the heating industry","authors":"N. Iwaszczuk, Aleksander Iwaszczuk","doi":"10.7494/dmms.2022.16.5995","DOIUrl":"https://doi.org/10.7494/dmms.2022.16.5995","url":null,"abstract":"The heating industry plays a very important role in countries with a cold and temperate climate. Together with the power industry, it determines the energy security of these countries. That is why it is so important to study the risks that threaten the stability of heating companies. The article identifies risks divided into three groups – general economic, industry and specific risks. A risk map was drawn up and a qualitative analysis of their impact for the aforementioned companies was carried out. Such a map is a helpful tool in making decisions related to risk management and ensuring the stability of the functioning of business entities.ul information for both government and local authorities in the search for effective ways to drive the sector’s development.","PeriodicalId":437771,"journal":{"name":"Decision Making in Manufacturing and Services","volume":" 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140990602","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}
引用次数: 0
Decision support for allocating farmed fish to customer orders using a bi-objective optimization model 利用双目标优化模型为客户订单分配养殖鱼类提供决策支持
Decision Making in Manufacturing and Services Pub Date : 2024-05-10 DOI: 10.7494/dmms.2022.16.5019
Sunniva Haukvik Knudseth, Even Molland, Arild Hoff, L. M. Hvattum, Johan Oppen
{"title":"Decision support for allocating farmed fish to customer orders using a bi-objective optimization model","authors":"Sunniva Haukvik Knudseth, Even Molland, Arild Hoff, L. M. Hvattum, Johan Oppen","doi":"10.7494/dmms.2022.16.5019","DOIUrl":"https://doi.org/10.7494/dmms.2022.16.5019","url":null,"abstract":"Aquaculture is an important industry in certain coastal areas. Focusing on farming of salmon and trout, an operational planning problem arises with the goal of allocating supply of fish to demand expressed through customer orders. This paper provides a conceptual model of such a planning problem, defines a corresponding bi-objective mathematical programming model. The problem is novel with respect to the structure of the transportation of fish, and the rules for satisfying customer orders with respect to fish size, quality, certification, and health status. Computational experiments are conducted to gain further insights into the use of the provided model to provide support for planners involved in the operational decision making. Results indicate that the bi-objective optimization model can be useful in situations where supply is insufficient to cover all the demand within a given planning horizon.","PeriodicalId":437771,"journal":{"name":"Decision Making in Manufacturing and Services","volume":" 41","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140990702","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}
引用次数: 0
Heuristic algorithm for lot sizing and scheduling on identical parallel machines 相同并行机器上批量大小和调度的启发式算法
Decision Making in Manufacturing and Services Pub Date : 2024-05-10 DOI: 10.7494/dmms.2022.16.4105
R. Książek
{"title":"Heuristic algorithm for lot sizing and scheduling on identical parallel machines","authors":"R. Książek","doi":"10.7494/dmms.2022.16.4105","DOIUrl":"https://doi.org/10.7494/dmms.2022.16.4105","url":null,"abstract":"In this paper a newly developed heuristic algorithm for lotsizing and scheduling on identical parallel machines is presented. A basic concept and an aim of lotsizing and scheduling are described and clarified. Furthermore, models for considered problems for fixed and variable demand  as well as for one and many identical parallel machines are presented. A concept and a formal description of newly developed heuristic algorithm is described. The paper includes in details the obtained results and solutions of conducted experiments and the description of used data sets.","PeriodicalId":437771,"journal":{"name":"Decision Making in Manufacturing and Services","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140991187","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}
引用次数: 0
Identification of key factors for the successful development of agricultural biogas plants in Poland 确定波兰成功发展农业沼气厂的关键因素
Decision Making in Manufacturing and Services Pub Date : 2024-05-10 DOI: 10.7494/dmms.2022.16.5990
Grzegorz Ginda, Marta Szyba
{"title":"Identification of key factors for the successful development of agricultural biogas plants in Poland","authors":"Grzegorz Ginda, Marta Szyba","doi":"10.7494/dmms.2022.16.5990","DOIUrl":"https://doi.org/10.7494/dmms.2022.16.5990","url":null,"abstract":"In Poland, the potential for biogas production is high. important source of renewable energy and contributes to reducing the emissions of methane, a greenhouse gas. In this article, based on materials from the National Agricultural Advisory Centre (KOWR), literature, and statistical data, the implementation of the agrigas plant construction programme was evaluated in individual voivodeships. Based on the collected data, it was concluded that the most meaningful factors for the successful development of Polish agricultural biogas plants are biogas production technology, substrate availability, energy price from renewable energy sources, waste disposal costs, population density in the commune, and allocation of places in local spatial development plans (MPZP). DEMATEL technique was used to identify key development factors. The results of the study provide useful information for both government and local authorities in the search for effective ways to drive the sector's development.","PeriodicalId":437771,"journal":{"name":"Decision Making in Manufacturing and Services","volume":" 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140991615","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}
引用次数: 2
Assessment of the impact of 3D printed water-lubricated cutless bearings material on vibration parameters. 评估 3D 打印水润滑无切口轴承材料对振动参数的影响。
Decision Making in Manufacturing and Services Pub Date : 2024-05-10 DOI: 10.7494/dmms.2022.16.5980
J. Blaut
{"title":"Assessment of the impact of 3D printed water-lubricated cutless bearings material on vibration parameters.","authors":"J. Blaut","doi":"10.7494/dmms.2022.16.5980","DOIUrl":"https://doi.org/10.7494/dmms.2022.16.5980","url":null,"abstract":"The tested bearings were subjected to equal loads and rotational speeds, using water as the lubricant. Analysis showed that they achieved the best vibration damping at lower speeds, between 600 and 1100 rpm. Comparative studies of bearings made of different materials, such as available on the market bearings  made of rubber, bearings printed with a 3D printer from PETG, PLA, ABS or Tribo filament materials, revealed differences in their vibration damping ability and operational stability. Conclusions from the study suggest that higher vibration acceleration may increase the radius of the trajectory, which may affect the function and performance of the bearings. The importance of the operational stability of water-lubricated plain bearings cannot be assessed solely on the basis of the RMS of vibration acceleration or trajectory radius. Both of these parameters are crucial from the user's point of view, especially in the context of various applications such as electric boats.","PeriodicalId":437771,"journal":{"name":"Decision Making in Manufacturing and Services","volume":" 74","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140992887","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}
引用次数: 0
Improving Fishery Management Models and Methods 改进渔业管理模式和方法
Decision Making in Manufacturing and Services Pub Date : 2021-01-27 DOI: 10.7494/DMMS.2020.14.2.3944
Ingólfur Arnarson, Pall Jensson
{"title":"Improving Fishery Management Models and Methods","authors":"Ingólfur Arnarson, Pall Jensson","doi":"10.7494/DMMS.2020.14.2.3944","DOIUrl":"https://doi.org/10.7494/DMMS.2020.14.2.3944","url":null,"abstract":"In a dynamic, environment, the decision makers make use of many different resources where two or more can act as substitutes.  At each decision moment in time, the market prices will be constant, and the relative prices of accessible resources will determine the economic rationale of the process.  Ignoring or downplaying the effects of substitutability of resources in dynamic economic processes may lead to mismanagement of the fish stocks and result in serious economic consequences for the respective fishing industries. For nearly five decades’ fishery managers and policy makers have used bio-economic models and methods as foundation for their management schemes.  These models and methods are for the most based on the deductive methodology of economics where central assumptions are the metaphors of “equilibrium“ and “bio-economic equilibrium“.  Models based on equilibrium theories are usually deterministic where dynamics of the markets are a meager part of the problem.Less attention has been offered to inductive reasoning and modeling within the field of fishery management.  The inductive method of reasoning is often based on facts and actual observations within the industries, a methodology widely used by engineers and the field of business administration.In this paper, we introduce and integrate the concept of substitutability of economic resources into a traditional bio-economic model.    The results show that fishery management, which bases decisions solely on traditional bio-economic models where the dynamics and consequences of the operational decision processes of the industry are ignored, may reach decisions that work opposite of their intention. ","PeriodicalId":437771,"journal":{"name":"Decision Making in Manufacturing and Services","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126713480","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}
引用次数: 0
Credit Risk Management Using Automatic Machine Learning 基于自动机器学习的信用风险管理
Decision Making in Manufacturing and Services Pub Date : 2020-12-31 DOI: 10.7494/dmms.2020.14.2.4379
B. Gaweł, Andrzej Paliński
{"title":"Credit Risk Management Using Automatic Machine Learning","authors":"B. Gaweł, Andrzej Paliński","doi":"10.7494/dmms.2020.14.2.4379","DOIUrl":"https://doi.org/10.7494/dmms.2020.14.2.4379","url":null,"abstract":"The article presents the basic techniques of data mining implemented in typical commercial software. They were used to assess the risk of credit card debt repayment. The article assesses the quality of classification models derived from data mining techniques and compares their results with the traditional approach using a logit model to assess credit risk. It turns out that data mining models provide similar accuracy of classification compared to the logit model, but they require much less work and facilitate the automation of the process of building scoring models.","PeriodicalId":437771,"journal":{"name":"Decision Making in Manufacturing and Services","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124877176","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}
引用次数: 0
Impact of government policies on Sustainable Petroleum Supply Chain (SPSC): A case study – Part I (Models) 政府政策对可持续石油供应链(SPSC)的影响:案例研究-第一部分(模型)
Decision Making in Manufacturing and Services Pub Date : 2020-12-30 DOI: 10.7494/dmms.2020.14.1.3648
Davoud Ghahremanlou, W. Kubiak
{"title":"Impact of government policies on Sustainable Petroleum Supply Chain (SPSC): A case study – Part I (Models)","authors":"Davoud Ghahremanlou, W. Kubiak","doi":"10.7494/dmms.2020.14.1.3648","DOIUrl":"https://doi.org/10.7494/dmms.2020.14.1.3648","url":null,"abstract":"Environmental concerns and energy security have led governments to establish legislations to convertConventional Petroleum Supply Chain (CPSC) to Sustainable Petroleum Supply Chain (SPSC). The United States(US), one of the biggest oil consumers in the world, has created regulations to manage ethanol production and con-sumption for the last half century. Though these regulations have created new opportunities, they have also added newburdens to the obligated parties. It is thus key for the government, the obligated parties, and related businesses to studythe impact of the policies on the SPSC. We develop a two-stage stochastic programming model, General Model (GM),which incorporates Renewable Fuel Standard 2 (RFS2), Tax Credits, Tariffs, and Blend Wall (BW) to study the policyimpact on the SPSC using cellulosic ethanol. The model, as any other general model available in the literature, makesit highly impractical to study the policy impact due to the model’s computational complexity. We use the GM to derivea Lean Model (LM) to study the impact by running computational experiments more efficiently and consequently byarriving at robust managerial insights much faster. We present a case study of the policy impact on the SPSC in theState of Nebraska using the LM in the accompanying part II (Ghahremanlou and Kubiak 2020).","PeriodicalId":437771,"journal":{"name":"Decision Making in Manufacturing and Services","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126711790","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}
引用次数: 0
Modelling & Simulation as a Strategic Tool for Decision-Making Process: A Dairy Case Study 建模与仿真作为决策过程的战略工具:乳制品案例研究
Decision Making in Manufacturing and Services Pub Date : 2020-12-30 DOI: 10.7494/dmms.2020.14.1.2785
Cristiani Eccher
{"title":"Modelling & Simulation as a Strategic Tool for Decision-Making Process: A Dairy Case Study","authors":"Cristiani Eccher","doi":"10.7494/dmms.2020.14.1.2785","DOIUrl":"https://doi.org/10.7494/dmms.2020.14.1.2785","url":null,"abstract":"The Dairy Industry faces many challenges compared to other sectors. On the supply side due to the nature of the raw material, large inventories are not applied; during the manufacturing process, the continuous production is highly sensitive to any sort of unplanned disruption; and on the demand side, the market dictates the commodity prices. In response to the growth in competition, dairy organizations’ strategy must incorporate technology into their daily processes in order to become more efficient, profitable and sustainable. To achieve desired levels of improvement, Modelling and Simulation has been increasing in popularity in the decision-making process. Using a Dairy company as a case study, this paper has highlighted the potential for Modelling and Simulation to be used as a powerful strategic tool for decision-making processes.","PeriodicalId":437771,"journal":{"name":"Decision Making in Manufacturing and Services","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132674956","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}
引用次数: 0
Impact of government policies on Sustainable Petroleum Supply Chain (SPSC): A case study – Part II (The State of Nebraska) 政府政策对可持续石油供应链(SPSC)的影响:案例研究-第二部分(内布拉斯加州)
Decision Making in Manufacturing and Services Pub Date : 2020-12-30 DOI: 10.7494/dmms.2020.14.1.3649
Davoud Ghahremanlou, W. Kubiak
{"title":"Impact of government policies on Sustainable Petroleum Supply Chain (SPSC): A case study – Part II (The State of Nebraska)","authors":"Davoud Ghahremanlou, W. Kubiak","doi":"10.7494/dmms.2020.14.1.3649","DOIUrl":"https://doi.org/10.7494/dmms.2020.14.1.3649","url":null,"abstract":"The accompanying part I (Ghahremanlou and Kubiak 2020) developed the Lean Model (LM), a two-stage stochastic programming model which incorporates Renewable Fuel Standard 2 (RFS2), Tax Credits, Tariffs, and Blend Wall (BW), to study the policy impact on the Sustainable Petroleum Supply Chain (SPSC) using cellulosic ethanol. The model enables us to study the impact by running computational experiments more efficiently and consequently by arriving at robust managerial insights much faster. In this paper, we present a case study of the policy impact on the SPSC in the State of Nebraska using the model. The case study uses available real-life data. The study shows that increasing RFS2 does not impact the amount of ethanol blended with gasoline but it might lead to bankruptcy of the refineries. We recommend that the government consider increasing the BW because of its positive economic, environmental and social impacts. For the same reason, we recommend that the tax credit for blending the US produced ethanol with gasoline be at least 0:189 $/gal and the tariff for imported ethanol be at least 1:501 $/gal. These also make the State independent from foreign ethanol thereby enhancing its energy security. Finally, the change in policy impacts the SPSC itself, most importantly it influences the strategic decisions, however setting up a bio-refinery at York county and a blending site at Douglas county emerge as the most robust location decisions against the policy change in the study.","PeriodicalId":437771,"journal":{"name":"Decision Making in Manufacturing and Services","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115046596","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}
引用次数: 2
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