Pub Date : 2023-07-01DOI: 10.24867/jpe-2023-01-019
V. Todić, Bojanić Ranko
Product profitability assessment is one of the strategic management tools used in planning and managing product costs, or target profit. Product cost planning and management unfold as early as the development phase, as well as during the adoption of modern production processes. Target profit and product competitiveness on the market require continuous monitoring of market prices, as well as managing costs incurred in the production process. The paper presents the methodology used for product profitability assessment, which is based on the evaluation of product costs and maintaining competitive market prices.
{"title":"PRODUCT PROFITABILITY ASSESSMENT","authors":"V. Todić, Bojanić Ranko","doi":"10.24867/jpe-2023-01-019","DOIUrl":"https://doi.org/10.24867/jpe-2023-01-019","url":null,"abstract":"Product profitability assessment is one of the strategic management tools used in planning and managing product costs, or target profit. Product cost planning and management unfold as early as the development phase, as well as during the adoption of modern production processes. Target profit and product competitiveness on the market require continuous monitoring of market prices, as well as managing costs incurred in the production process. The paper presents the methodology used for product profitability assessment, which is based on the evaluation of product costs and maintaining competitive market prices.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"48 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75348331","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 : 2023-07-01DOI: 10.24867/jpe-2023-01-024
D. Rodić, Marin Gostimirović, M. Sekulić, B. Savković, Anđelko Aleksić, D. Kukolj
The aim of the research is to describe a new approach for processing non-conductive ceramics. A method of electrical discharge machining with an assisting electrode is presented, which allows the machining of zirconium ceramics. An analysis of the defective layer, i.e., the recast layer and the heat-affected zone, was performed. Two parameters, discharge current and pulse duration, were chosen to study the effects on the thickness of the defect layer. The test results show that increasing the discharge current and pulse duration increases the thickness of the defect layer. This is due to the increase of discharge energy, which causes more heat in the machining zone. Future research can be directed to the analysis of a larger number of test points to see a better dependence between the machining parameters and the thickness of the defect layer.
{"title":"ANALSYS OF DEFECT LAYER IN ELECTRICAL DISCHARGE MACHINING OF NON-CONDUCTIVE CERAMIC","authors":"D. Rodić, Marin Gostimirović, M. Sekulić, B. Savković, Anđelko Aleksić, D. Kukolj","doi":"10.24867/jpe-2023-01-024","DOIUrl":"https://doi.org/10.24867/jpe-2023-01-024","url":null,"abstract":"The aim of the research is to describe a new approach for processing non-conductive ceramics. A method of electrical discharge machining with an assisting electrode is presented, which allows the machining of zirconium ceramics. An analysis of the defective layer, i.e., the recast layer and the heat-affected zone, was performed. Two parameters, discharge current and pulse duration, were chosen to study the effects on the thickness of the defect layer. The test results show that increasing the discharge current and pulse duration increases the thickness of the defect layer. This is due to the increase of discharge energy, which causes more heat in the machining zone. Future research can be directed to the analysis of a larger number of test points to see a better dependence between the machining parameters and the thickness of the defect layer.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"71 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83972684","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 : 2023-07-01DOI: 10.24867/jpe-2023-01-001
Sándor Bodzás
Form tool means a cutting tool which is appropriate manufacturing of workpieces having more complicated geometry. The contour of manufactured workpiece is manufactured by the tool profile. This cutting tool can be used in case of serial and quantity production. The advantageous of their usage are the lower turning time and the lower standard deviation of the workpiece sizes. The reached accuracy on the workpiece is independent from the qualification of the worker. The aim of this publication is the explanation of the geometric analysis and the design by analytical and constructional way. This type of tool is advantageously usable for manufacturing on CNC machine or conventional machine.
{"title":"GEOMETRIC ANALYSIS AND DESIGN OF FLAT FORM TOOLS","authors":"Sándor Bodzás","doi":"10.24867/jpe-2023-01-001","DOIUrl":"https://doi.org/10.24867/jpe-2023-01-001","url":null,"abstract":"Form tool means a cutting tool which is appropriate manufacturing of workpieces having more complicated geometry. The contour of manufactured workpiece is manufactured by the tool profile. This cutting tool can be used in case of serial and quantity production. The advantageous of their usage are the lower turning time and the lower standard deviation of the workpiece sizes. The reached accuracy on the workpiece is independent from the qualification of the worker. The aim of this publication is the explanation of the geometric analysis and the design by analytical and constructional way. This type of tool is advantageously usable for manufacturing on CNC machine or conventional machine.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"199 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89931041","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 : 2023-06-27DOI: 10.1080/21681015.2023.2229341
Pralhad Pesode, S. Barve
ABSTRACT The use of cutting-edge techniques is beneficial for the research and development of biomaterials and the production of new sustainable biomaterials. Eco-friendly biomaterials should be promoted. As prospective substitutes for conventional materials, a variety of biomaterials have been conceived and produced to date and successfully used in various biomedical disciplines. The sustainability component in the additive manufacturing of biomaterials is the main goal of this article. There is discussion of various metallic biomaterials, including titanium, stainless steel, magnesium, cobalt-chromium alloy, zinc, tantalum etc. The effects of several additive manufacturing techniques on sustainability are examined. Also, the properties of additive manufactured biomaterials and sustainability aspect of biomaterials are discussed in detail. By reducing material waste and using time and energy efficiently, additive manufacturing can assist to lower costs and having less harmful effects on the environment. This article discussed sustainability aspects of different additive manufacturing techniques used for manufacturing of biomaterials. Graphical abstract
{"title":"Additive manufacturing of metallic biomaterials: sustainability aspect, opportunity, and challenges","authors":"Pralhad Pesode, S. Barve","doi":"10.1080/21681015.2023.2229341","DOIUrl":"https://doi.org/10.1080/21681015.2023.2229341","url":null,"abstract":"ABSTRACT The use of cutting-edge techniques is beneficial for the research and development of biomaterials and the production of new sustainable biomaterials. Eco-friendly biomaterials should be promoted. As prospective substitutes for conventional materials, a variety of biomaterials have been conceived and produced to date and successfully used in various biomedical disciplines. The sustainability component in the additive manufacturing of biomaterials is the main goal of this article. There is discussion of various metallic biomaterials, including titanium, stainless steel, magnesium, cobalt-chromium alloy, zinc, tantalum etc. The effects of several additive manufacturing techniques on sustainability are examined. Also, the properties of additive manufactured biomaterials and sustainability aspect of biomaterials are discussed in detail. By reducing material waste and using time and energy efficiently, additive manufacturing can assist to lower costs and having less harmful effects on the environment. This article discussed sustainability aspects of different additive manufacturing techniques used for manufacturing of biomaterials. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"464 - 505"},"PeriodicalIF":4.5,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47146043","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 : 2023-06-05DOI: 10.1080/21681015.2023.2221699
Bing Li, Shangtao Jiang, Yanjie Zhou, H. Xuan
ABSTRACT Train formation planning (TFP) is essential for rail freight logistics services. The fluctuation of railcar flows dramatically compared with before the outbreak of COVID-19. This paper studies train formation planning, considering three types of train services provided for railcar flow between pairs of technical stations (TS), including direct trains, district trains, and pickup trains. This paper introduces an optimization model with average railcars flow data (OMAD) and an optimization model with dynamic railcars flow data (OMDD) for the train formation planning based on TS under railcar demand fluctuation while minimizing railcar-hour consumption. The OMAD is a deterministic model, and the OMDD is a probability constraint model. To solve the OMDD, an approach for transforming probability constraints into deterministic constraints is presented. Various groups of scenarios are given to verify the effectiveness of the proposed models. Graphical abstract
{"title":"Optimization of train formation plan based on technical station under railcar demand fluctuation","authors":"Bing Li, Shangtao Jiang, Yanjie Zhou, H. Xuan","doi":"10.1080/21681015.2023.2221699","DOIUrl":"https://doi.org/10.1080/21681015.2023.2221699","url":null,"abstract":"ABSTRACT Train formation planning (TFP) is essential for rail freight logistics services. The fluctuation of railcar flows dramatically compared with before the outbreak of COVID-19. This paper studies train formation planning, considering three types of train services provided for railcar flow between pairs of technical stations (TS), including direct trains, district trains, and pickup trains. This paper introduces an optimization model with average railcars flow data (OMAD) and an optimization model with dynamic railcars flow data (OMDD) for the train formation planning based on TS under railcar demand fluctuation while minimizing railcar-hour consumption. The OMAD is a deterministic model, and the OMDD is a probability constraint model. To solve the OMDD, an approach for transforming probability constraints into deterministic constraints is presented. Various groups of scenarios are given to verify the effectiveness of the proposed models. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"448 - 463"},"PeriodicalIF":4.5,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49157449","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 : 2023-05-27DOI: 10.1080/21681015.2023.2216701
M. Ghobakhloo, M. Iranmanesh, M. Tseng, Andrius Grybauskas, A. Stefanini, A. Amran
ABSTRACT This study addresses the emerging concept of Industry 5.0, which aims to tackle societal concerns associated with the ongoing digital industrial transformation. However, there is still a lack of consensus on the definition and scope of Industry 5.0, as well as limited understanding of its technological components, design principles, and intended values. To bridge these knowledge gaps, the study conducts a content-centric review of relevant literature and synthesizes evidence to develop an architectural design for Industry 5.0. The findings reveal that Industry 5.0 represents the future of industrial transformation, offering potential solutions to socio-economic and environmental issues that were inadequately addressed or exacerbated by Industry 4.0. The study provides managers, industrialists, and policymakers with a comprehensive overview of Industry 5.0, including its technological constituents, design principles, and smart components, emphasizing the importance of stakeholder involvement and integration for effective governance of digital industrial transformation within this framework.
{"title":"Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values","authors":"M. Ghobakhloo, M. Iranmanesh, M. Tseng, Andrius Grybauskas, A. Stefanini, A. Amran","doi":"10.1080/21681015.2023.2216701","DOIUrl":"https://doi.org/10.1080/21681015.2023.2216701","url":null,"abstract":"ABSTRACT This study addresses the emerging concept of Industry 5.0, which aims to tackle societal concerns associated with the ongoing digital industrial transformation. However, there is still a lack of consensus on the definition and scope of Industry 5.0, as well as limited understanding of its technological components, design principles, and intended values. To bridge these knowledge gaps, the study conducts a content-centric review of relevant literature and synthesizes evidence to develop an architectural design for Industry 5.0. The findings reveal that Industry 5.0 represents the future of industrial transformation, offering potential solutions to socio-economic and environmental issues that were inadequately addressed or exacerbated by Industry 4.0. The study provides managers, industrialists, and policymakers with a comprehensive overview of Industry 5.0, including its technological constituents, design principles, and smart components, emphasizing the importance of stakeholder involvement and integration for effective governance of digital industrial transformation within this framework.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"432 - 447"},"PeriodicalIF":4.5,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45260398","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 : 2023-05-25DOI: 10.1080/21681015.2023.2213688
Mohammadreza Eslamipirharati, F. Jolai, A. Aghsami
ABSTRACT There is a growing concern over environmental pollution resulting from the production. Moreover, the expansion of various industries has led to an increased demand for raw materials. To address these challenges, this paper aims to investigate the bi-objective optimization of a sustainable reverse supply chain network while considering two key sources of uncertainty in the returned product quality and the remanufacturing capacity. Additionally, the study considers the effects of carbon tax policies and government subsidies on remanufactured products, while also focusing on three important sustainability aspects - economic, social, and environmental. The study uses two quality thresholds at inspection centers to sort products, and the epsilon constraint and NSGA-II are applied to solve the model. Through numerical analysis, the research demonstrates that objective functions are sensitive to uncertain parameters and minimum acceptable quality levels. Furthermore, the study reveals that government subsidies can offset the negative effects of carbon tax policies. Graphical abstract
{"title":"A Bi-objective two-stage stochastic optimization model for sustainable reverse supply chain network design under carbon tax policy and government subsidy considering product quality","authors":"Mohammadreza Eslamipirharati, F. Jolai, A. Aghsami","doi":"10.1080/21681015.2023.2213688","DOIUrl":"https://doi.org/10.1080/21681015.2023.2213688","url":null,"abstract":"ABSTRACT There is a growing concern over environmental pollution resulting from the production. Moreover, the expansion of various industries has led to an increased demand for raw materials. To address these challenges, this paper aims to investigate the bi-objective optimization of a sustainable reverse supply chain network while considering two key sources of uncertainty in the returned product quality and the remanufacturing capacity. Additionally, the study considers the effects of carbon tax policies and government subsidies on remanufactured products, while also focusing on three important sustainability aspects - economic, social, and environmental. The study uses two quality thresholds at inspection centers to sort products, and the epsilon constraint and NSGA-II are applied to solve the model. Through numerical analysis, the research demonstrates that objective functions are sensitive to uncertain parameters and minimum acceptable quality levels. Furthermore, the study reveals that government subsidies can offset the negative effects of carbon tax policies. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"411 - 431"},"PeriodicalIF":4.5,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46435782","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 : 2023-05-12DOI: 10.1080/21681015.2023.2212006
Xiaolong Zhang, Yadong Dou, Jianbo Mao, Wensheng Liu
ABSTRACT Accurate price prediction for carbon trading is essential to provide the guidance for investment and production. The current prediction methods mainly depend on the carbon price itself, from which the change pattern of carbon price is studied. However, fusing the multi-source data, e.g. trading message and public sentiment, and taking proper data processing to improve the prediction accuracy need in-depth research. In this paper, a hybrid price prediction method utilizing both the statistical and intelligent models is established on multi-source data, and the data characteristics are fully explored by correlation analysis and multi-frequency analysis. The study on Guangdong market show that: the accuracy of proposed method is superior to the benchmark ones: root mean square error and mean absolute percentage error are reduced by 19.27% and 7.16%, while determination coefficient and trading return are increased by 8.31% and 25.11%. The proposed method is helpful for stakeholders to manage their trading. Graphical abstract
{"title":"A hybrid price prediction method for carbon trading with multi-data fusion and multi-frequency analysis","authors":"Xiaolong Zhang, Yadong Dou, Jianbo Mao, Wensheng Liu","doi":"10.1080/21681015.2023.2212006","DOIUrl":"https://doi.org/10.1080/21681015.2023.2212006","url":null,"abstract":"ABSTRACT Accurate price prediction for carbon trading is essential to provide the guidance for investment and production. The current prediction methods mainly depend on the carbon price itself, from which the change pattern of carbon price is studied. However, fusing the multi-source data, e.g. trading message and public sentiment, and taking proper data processing to improve the prediction accuracy need in-depth research. In this paper, a hybrid price prediction method utilizing both the statistical and intelligent models is established on multi-source data, and the data characteristics are fully explored by correlation analysis and multi-frequency analysis. The study on Guangdong market show that: the accuracy of proposed method is superior to the benchmark ones: root mean square error and mean absolute percentage error are reduced by 19.27% and 7.16%, while determination coefficient and trading return are increased by 8.31% and 25.11%. The proposed method is helpful for stakeholders to manage their trading. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"397 - 410"},"PeriodicalIF":4.5,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46869318","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 : 2023-05-09DOI: 10.1080/21681015.2023.2207848
J. Chandramohan, U. R.
ABSTRACT The COVID-19 outbreak has posed significant challenges to the worldwide supply chain. As result, there is an urgent need to develop a model for the manufacturer that includes multi-phase manufacturing with fluctuating demand during various levels of pandemic and a supply system that takes into account the environmental benefits of the product and production. This study recommends inventory model to the company for estimating optimal production amount and replenishment cycle in order to reduce overall cost and maximize profit along with green product pricing and carbon tax. The current study considers models with and without shortages for instantaneously deteriorating commodities. Because of the social awareness concern, firms can avoid the suffering from labor shortage during the pandemic crisis. Numerical examples are given to demonstrate the model’s use. A sensitivity analysis of crucial factors was performed in order to uncover more sensitive parameters that offer a clear portrayal of current concerns.
{"title":"A multi-objective economic production quantity model for deteriorating items with impact of the pandemic, social and environmental concerns","authors":"J. Chandramohan, U. R.","doi":"10.1080/21681015.2023.2207848","DOIUrl":"https://doi.org/10.1080/21681015.2023.2207848","url":null,"abstract":"ABSTRACT The COVID-19 outbreak has posed significant challenges to the worldwide supply chain. As result, there is an urgent need to develop a model for the manufacturer that includes multi-phase manufacturing with fluctuating demand during various levels of pandemic and a supply system that takes into account the environmental benefits of the product and production. This study recommends inventory model to the company for estimating optimal production amount and replenishment cycle in order to reduce overall cost and maximize profit along with green product pricing and carbon tax. The current study considers models with and without shortages for instantaneously deteriorating commodities. Because of the social awareness concern, firms can avoid the suffering from labor shortage during the pandemic crisis. Numerical examples are given to demonstrate the model’s use. A sensitivity analysis of crucial factors was performed in order to uncover more sensitive parameters that offer a clear portrayal of current concerns.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"375 - 396"},"PeriodicalIF":4.5,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43756759","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 : 2023-04-24DOI: 10.1080/21681015.2023.2201267
Milad Mohammadi, Dariush Mohamadi, Ali Nikzad
ABSTRACT This study addresses the optimization of price and production quantity using game theory in the coffee supply chain in the city of Isfahan. The presented model focuses on the competition among members of the chain in a probabilistic environment and is based on discrete selection models. This model examines the impact of inventory and routing costs on the pricing model at the same time. To effectively solve real-world problems, the method of normal distribution approximation is used instead of the binomial distribution. The results of the model indicate that the computational time of the applied approximate model does not change with increasing the number of customers, and the model can determine the optimal price and production quantity. The advantage of the proposed model over other classic models is that it considers the inventory costs that have not yet been considered in price competition models with discrete selection. Graphical Abstract
{"title":"Equilibrium pricing in supply chains with discrete stochastic demands: A case study in coffee supply and distribution industry","authors":"Milad Mohammadi, Dariush Mohamadi, Ali Nikzad","doi":"10.1080/21681015.2023.2201267","DOIUrl":"https://doi.org/10.1080/21681015.2023.2201267","url":null,"abstract":"ABSTRACT This study addresses the optimization of price and production quantity using game theory in the coffee supply chain in the city of Isfahan. The presented model focuses on the competition among members of the chain in a probabilistic environment and is based on discrete selection models. This model examines the impact of inventory and routing costs on the pricing model at the same time. To effectively solve real-world problems, the method of normal distribution approximation is used instead of the binomial distribution. The results of the model indicate that the computational time of the applied approximate model does not change with increasing the number of customers, and the model can determine the optimal price and production quantity. The advantage of the proposed model over other classic models is that it considers the inventory costs that have not yet been considered in price competition models with discrete selection. Graphical Abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"360 - 374"},"PeriodicalIF":4.5,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46441997","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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