Pub Date : 2023-07-03DOI: 10.1080/03155986.2023.2226896
Lauren L. Czerniak, Mark S. Daskin, Mariel S. Lavieri, B. V. Sweet, Jennifer Leja, Matthew A. Tupps, K. Renius
Abstract Hospital pharmacy managers make inventory decisions for thousands of different perishable drugs. Commonly, these managers do not have the resources to implement advanced mathematical models. Closed-form solutions are attractive because they provide the inventory policy quickly and are easy to implement. However, when deriving these solutions, one must consider that pharmaceutical supply chains experience disruptions. We first derive closed-form solutions for a non-perishable lost-sales (R,S) periodic review inventory system with supply chain disruptions. We then extend the solutions to incorporate perishability and apply the solutions to a hospital pharmacy inventory system. We find that (i) it is important to account for perishability and supply chain disruptions simultaneously as only accounting for supply chain disruptions increases both drug shortages [possible 65% increase] and waste [possible waste equivalent to 50% of the daily demand], (ii) it is critical to consider the duration of and time between supply chain disruptions, (iii) the expected number of shortages is insensitive to changes in the standard deviation when demand is normally distributed, but for short expiration lifetimes, the expected number wasted increases linearly as the standard deviation of demand increases, and (iv) not accurately depicting the supply chain disruption process can triple the number of shortages.
{"title":"Closed-form (R,S) inventory policies for perishable inventory systems with supply chain disruptions","authors":"Lauren L. Czerniak, Mark S. Daskin, Mariel S. Lavieri, B. V. Sweet, Jennifer Leja, Matthew A. Tupps, K. Renius","doi":"10.1080/03155986.2023.2226896","DOIUrl":"https://doi.org/10.1080/03155986.2023.2226896","url":null,"abstract":"Abstract Hospital pharmacy managers make inventory decisions for thousands of different perishable drugs. Commonly, these managers do not have the resources to implement advanced mathematical models. Closed-form solutions are attractive because they provide the inventory policy quickly and are easy to implement. However, when deriving these solutions, one must consider that pharmaceutical supply chains experience disruptions. We first derive closed-form solutions for a non-perishable lost-sales (R,S) periodic review inventory system with supply chain disruptions. We then extend the solutions to incorporate perishability and apply the solutions to a hospital pharmacy inventory system. We find that (i) it is important to account for perishability and supply chain disruptions simultaneously as only accounting for supply chain disruptions increases both drug shortages [possible 65% increase] and waste [possible waste equivalent to 50% of the daily demand], (ii) it is critical to consider the duration of and time between supply chain disruptions, (iii) the expected number of shortages is insensitive to changes in the standard deviation when demand is normally distributed, but for short expiration lifetimes, the expected number wasted increases linearly as the standard deviation of demand increases, and (iv) not accurately depicting the supply chain disruption process can triple the number of shortages.","PeriodicalId":13645,"journal":{"name":"Infor","volume":"1 1","pages":"327 - 367"},"PeriodicalIF":1.3,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89961968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-07DOI: 10.1080/03155986.2023.2217062
{"title":"Notice of duplicate publication: Analyse De La Signifiance De Diverses Procédures D’Agrégation Multicritere","authors":"","doi":"10.1080/03155986.2023.2217062","DOIUrl":"https://doi.org/10.1080/03155986.2023.2217062","url":null,"abstract":"","PeriodicalId":13645,"journal":{"name":"Infor","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135409292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-12DOI: 10.1080/03155986.2023.2209451
S. Lozano, I. Contreras
Abstract This article proposes a centralized Data Envelopment Analysis (DEA) approach for determining efficient operation points for the different plants of an organization given the desired aggregate production targets. The proposed approach minimizes the total input consumption and undesirable output generation. The concept of a reference operating point for each plant is introduced and used to scalarize the multiobjective problem as well as to anchor the targets computed for each plant. Additional DEA models to check the feasibility of the aggregate production targets and to gauge remaining slack capacity for each plant are also formulated. The proposed approach has been applied to the electricity mix and pollutant emissions of fossil fuel power plants owned by a large US utility. A scenario of 5% reduction in the aggregate electricity production has been considered together with +/−20% bounds on the total electricity produced by each plant. The results indicate that, giving the same importance to all pollutants, reductions of 6% and 9% for CO2 and Hg, respectively, and above 35% for SO2 and NOx can be achieved. These emissions reductions obtained by centralized production planning are larger than those that can be achieved by the individual plants independently determining their own production plans.
{"title":"Centralized production planning using reference operating points: application to fossil fuel power plants","authors":"S. Lozano, I. Contreras","doi":"10.1080/03155986.2023.2209451","DOIUrl":"https://doi.org/10.1080/03155986.2023.2209451","url":null,"abstract":"Abstract This article proposes a centralized Data Envelopment Analysis (DEA) approach for determining efficient operation points for the different plants of an organization given the desired aggregate production targets. The proposed approach minimizes the total input consumption and undesirable output generation. The concept of a reference operating point for each plant is introduced and used to scalarize the multiobjective problem as well as to anchor the targets computed for each plant. Additional DEA models to check the feasibility of the aggregate production targets and to gauge remaining slack capacity for each plant are also formulated. The proposed approach has been applied to the electricity mix and pollutant emissions of fossil fuel power plants owned by a large US utility. A scenario of 5% reduction in the aggregate electricity production has been considered together with +/−20% bounds on the total electricity produced by each plant. The results indicate that, giving the same importance to all pollutants, reductions of 6% and 9% for CO2 and Hg, respectively, and above 35% for SO2 and NOx can be achieved. These emissions reductions obtained by centralized production planning are larger than those that can be achieved by the individual plants independently determining their own production plans.","PeriodicalId":13645,"journal":{"name":"Infor","volume":"16 1","pages":"368 - 398"},"PeriodicalIF":1.3,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84166553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-26DOI: 10.1080/03155986.2023.2202079
Ibrahim O. Oguntola, M. Ülkü, A. Saif, Alexander Engau
{"title":"On the value of shipment consolidation and machine learning techniques for the optimal design of a multimodal logistics network","authors":"Ibrahim O. Oguntola, M. Ülkü, A. Saif, Alexander Engau","doi":"10.1080/03155986.2023.2202079","DOIUrl":"https://doi.org/10.1080/03155986.2023.2202079","url":null,"abstract":"","PeriodicalId":13645,"journal":{"name":"Infor","volume":"9 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83143977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-20DOI: 10.1080/03155986.2023.2191533
Xiaoqi Zhang, Qiong Xia, Fangqing Wei, Sheng Ang
Abstract The generalized equilibrium efficient frontier data envelopment analysis (GEEFDEA) approach, an extension of the DEA method, has been widely used to solve the problem of evaluating decision making units (DMUs) producing fixed-sum outputs. It constructs a common equilibrium efficient frontier through a minimum reduction strategy for fixed-sum outputs and uses this frontier as a benchmark to achieve a complete ranking of DMUs. However, the existence of multiple feasible equilibrium efficient frontiers may lead to inconsistency in the evaluation criteria, and this possibility limits the method’s usefulness. In this paper, an integrated framework for solving this problem is proposed to rank DMUs by using stochastic multicriteria acceptability analysis (SMAA-2) method combined with the GEEFDEA approach. Instead of using a certain common equilibrium efficient frontier as in conventional GEEFDEA approaches, we explore all possible frontiers to answer various robustness questions by computing rank acceptability indices and pairwise winning indices. Furthermore, we derive the complete ranking from the dominance relationships among the DMUs. Two numerical examples are used to demonstrate the effectiveness and rationality of the proposed hybrid approach.
{"title":"Efficiency evaluation for decision making units with fixed-sum outputs using data envelopment analysis and stochastic multicriteria acceptability analysis","authors":"Xiaoqi Zhang, Qiong Xia, Fangqing Wei, Sheng Ang","doi":"10.1080/03155986.2023.2191533","DOIUrl":"https://doi.org/10.1080/03155986.2023.2191533","url":null,"abstract":"Abstract The generalized equilibrium efficient frontier data envelopment analysis (GEEFDEA) approach, an extension of the DEA method, has been widely used to solve the problem of evaluating decision making units (DMUs) producing fixed-sum outputs. It constructs a common equilibrium efficient frontier through a minimum reduction strategy for fixed-sum outputs and uses this frontier as a benchmark to achieve a complete ranking of DMUs. However, the existence of multiple feasible equilibrium efficient frontiers may lead to inconsistency in the evaluation criteria, and this possibility limits the method’s usefulness. In this paper, an integrated framework for solving this problem is proposed to rank DMUs by using stochastic multicriteria acceptability analysis (SMAA-2) method combined with the GEEFDEA approach. Instead of using a certain common equilibrium efficient frontier as in conventional GEEFDEA approaches, we explore all possible frontiers to answer various robustness questions by computing rank acceptability indices and pairwise winning indices. Furthermore, we derive the complete ranking from the dominance relationships among the DMUs. Two numerical examples are used to demonstrate the effectiveness and rationality of the proposed hybrid approach.","PeriodicalId":13645,"journal":{"name":"Infor","volume":"41 1","pages":"419 - 444"},"PeriodicalIF":1.3,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91034485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-25DOI: 10.1080/03155986.2023.2181726
Yue Qi, Taofeng Ye
Abstract Consider a manufacturer who has produced and sold a single product through a retail channel and now considers whether to open a direct channel to sell a product directly to customers. Upon deciding to encroach the market, the manufacturer needs to determine whether to offer the same product as available in the retail market (i.e. homogenized encroachment) or to offer a variant that has a better quality (i.e. differentiated encroachment). The interactions between the manufacturer and the retailer are modeled as the Stackelberg game models in which the manufacturer and the retailer act as the leader and follower, respectively. We show that when the product in the direct channel is slightly superior to that in the retail channel, differentiated encroachment can lead to greater manufacturer profit than either no encroachment or homogenized encroachment. On the contrary, when the product in the direct channel is sufficiently superior to that in the retail channel, the manufacturer is best to adopt either homogenized or differentiated encroachment strategy. Moreover, differentiated encroachment is not the retailer’s best choice in most cases. Finally, we find that from the view of social welfare, either differentiated or homogenized encroachment dominates no encroachment.
{"title":"Whether and how manufacturers encroach the market","authors":"Yue Qi, Taofeng Ye","doi":"10.1080/03155986.2023.2181726","DOIUrl":"https://doi.org/10.1080/03155986.2023.2181726","url":null,"abstract":"Abstract Consider a manufacturer who has produced and sold a single product through a retail channel and now considers whether to open a direct channel to sell a product directly to customers. Upon deciding to encroach the market, the manufacturer needs to determine whether to offer the same product as available in the retail market (i.e. homogenized encroachment) or to offer a variant that has a better quality (i.e. differentiated encroachment). The interactions between the manufacturer and the retailer are modeled as the Stackelberg game models in which the manufacturer and the retailer act as the leader and follower, respectively. We show that when the product in the direct channel is slightly superior to that in the retail channel, differentiated encroachment can lead to greater manufacturer profit than either no encroachment or homogenized encroachment. On the contrary, when the product in the direct channel is sufficiently superior to that in the retail channel, the manufacturer is best to adopt either homogenized or differentiated encroachment strategy. Moreover, differentiated encroachment is not the retailer’s best choice in most cases. Finally, we find that from the view of social welfare, either differentiated or homogenized encroachment dominates no encroachment.","PeriodicalId":13645,"journal":{"name":"Infor","volume":"7 1","pages":"287 - 326"},"PeriodicalIF":1.3,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87913740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-13DOI: 10.1080/03155986.2023.2176685
Lu Xiao, Song-Ling Zhang, Jian-Xin Chen, K. Chin
Abstract This study investigates how the manufacturer’s encroachment strategy and the retailer’s information-sharing strategy interact in gray markets under advertising investment. Different from the traditional view which holds that the retailer should retain private information to maintain an information advantage, we find that the retailer can strategically use private information to induce the manufacturer’s encroachment to improve investment level and increase potential market demand. We also derive the manufacturer’s optimal encroachment strategy. When the encroachment cost is extremely low (high), whether the retailer share information or not, the manufacturer will (will never) encroach. Particularly, when the cost is in the middle range, the encroachment decision depends on the retailer’s information sharing choice: the manufacturer encroaches when information is shared and does not encroach when information is not shared. Moreover, when the manufacturer effectively combats the gray market through encroachment, the retailer still has motivation to share information.
{"title":"Information-sharing strategy and manufacturer encroachment under advertising investment in gray markets","authors":"Lu Xiao, Song-Ling Zhang, Jian-Xin Chen, K. Chin","doi":"10.1080/03155986.2023.2176685","DOIUrl":"https://doi.org/10.1080/03155986.2023.2176685","url":null,"abstract":"Abstract This study investigates how the manufacturer’s encroachment strategy and the retailer’s information-sharing strategy interact in gray markets under advertising investment. Different from the traditional view which holds that the retailer should retain private information to maintain an information advantage, we find that the retailer can strategically use private information to induce the manufacturer’s encroachment to improve investment level and increase potential market demand. We also derive the manufacturer’s optimal encroachment strategy. When the encroachment cost is extremely low (high), whether the retailer share information or not, the manufacturer will (will never) encroach. Particularly, when the cost is in the middle range, the encroachment decision depends on the retailer’s information sharing choice: the manufacturer encroaches when information is shared and does not encroach when information is not shared. Moreover, when the manufacturer effectively combats the gray market through encroachment, the retailer still has motivation to share information.","PeriodicalId":13645,"journal":{"name":"Infor","volume":"39 1","pages":"256 - 285"},"PeriodicalIF":1.3,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83145275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-01DOI: 10.1080/03155986.2023.2171618
J. Brimberg, P. Kalczynski, Z. Drezner
Abstract The grey pattern problem is to select a pattern of p points in a square that is replicated in adjacent squares so that they are spread out as uniformly as possible. The goal is to cover a large area with many squares of the same pattern of p points. In the original formulation a special objective function is designed. In this paper we suggest the criterion of maximizing the minimum distance between points in the same square and in the eight adjacent squares, four with a common side and four with a common vertex. We prove properties of the proposed objective, and propose alternate formulations of the model. Extensive computational experiments are reported on instances using Euclidean distances and Manhattan distances with good results.
{"title":"The repeated p-dispersion problem","authors":"J. Brimberg, P. Kalczynski, Z. Drezner","doi":"10.1080/03155986.2023.2171618","DOIUrl":"https://doi.org/10.1080/03155986.2023.2171618","url":null,"abstract":"Abstract The grey pattern problem is to select a pattern of p points in a square that is replicated in adjacent squares so that they are spread out as uniformly as possible. The goal is to cover a large area with many squares of the same pattern of p points. In the original formulation a special objective function is designed. In this paper we suggest the criterion of maximizing the minimum distance between points in the same square and in the eight adjacent squares, four with a common side and four with a common vertex. We prove properties of the proposed objective, and propose alternate formulations of the model. Extensive computational experiments are reported on instances using Euclidean distances and Manhattan distances with good results.","PeriodicalId":13645,"journal":{"name":"Infor","volume":"52 1","pages":"233 - 255"},"PeriodicalIF":1.3,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89952971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-31DOI: 10.1080/03155986.2023.2169493
Marcel Turkensteen, W. Heuvel
Abstract Logistics decisions can have a significant impact on carbon emissions, a driver of global warming. We consider emissions reductions from better utilization of a given fleet of vehicles. We study an Economic Lot-Sizing setting in which a decision-maker determines the amount to be shipped in each period, and in which demand can fluctuate. Our paper assesses the trade-off between costs and carbon emissions. The emission parameters are based on a survey of results from empirical studies and on real-life considerations. In order to model the trade-off, we introduce a bi-objective lot-sizing model to find the Pareto optimal solutions with respect to costs and emissions. Our experiments show that it is often costly to reduce carbon emissions from the cost optimal solution, compared to carbon prices in the market. The cases in which carbon emissions can be reduced most cost-efficiently are those in which carbon emissions are large relative to costs, typically because costs are the results of past investments and can be considered sunk.
{"title":"The trade-off between costs and carbon emissions from economic lot-sizing decisions","authors":"Marcel Turkensteen, W. Heuvel","doi":"10.1080/03155986.2023.2169493","DOIUrl":"https://doi.org/10.1080/03155986.2023.2169493","url":null,"abstract":"Abstract Logistics decisions can have a significant impact on carbon emissions, a driver of global warming. We consider emissions reductions from better utilization of a given fleet of vehicles. We study an Economic Lot-Sizing setting in which a decision-maker determines the amount to be shipped in each period, and in which demand can fluctuate. Our paper assesses the trade-off between costs and carbon emissions. The emission parameters are based on a survey of results from empirical studies and on real-life considerations. In order to model the trade-off, we introduce a bi-objective lot-sizing model to find the Pareto optimal solutions with respect to costs and emissions. Our experiments show that it is often costly to reduce carbon emissions from the cost optimal solution, compared to carbon prices in the market. The cases in which carbon emissions can be reduced most cost-efficiently are those in which carbon emissions are large relative to costs, typically because costs are the results of past investments and can be considered sunk.","PeriodicalId":13645,"journal":{"name":"Infor","volume":"93 6 1","pages":"169 - 198"},"PeriodicalIF":1.3,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83692476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-24DOI: 10.1080/03155986.2023.2168583
Luis Yáñez Sandivari, C. Cortés, P. Rey
Abstract A stepwise development is proposed for the construction of a model that comprehensively solves the disaster planning and response problem. In addition to traditional logistics costs, the suggested approach incorporates response time sensitivity, social costs related to post-disaster deprivation, the impact of material convergence, and measurable and epistemic uncertainty. Starting from a stochastic model based on previously published scenarios, the global costs of the scenarios are minimized using the expected value of the parameters, in a risk-averse bi-objective function that also optimizes the robustness of the model by minimizing the variability of the parameters whose probabilities are known. Finally, the complexity arising from imprecise parameter values with unknown probabilities is addressed by using chance-constrained fuzzy programming to optimize the risk associated with inter-scenario cost variability and feasibility of the constraints. This formulation is applied to real case study data, demonstrating that both the overall costs and the social cost component of the costs decrease progressively from the base formulation. The model allows the decision-maker to test the sensitivity of the results and thus set the uncertainty parameters and the incorporation of multiple objectives accordingly.
{"title":"Integrated risk averse and possibilistic humanitarian logistic model with social costs and material convergence","authors":"Luis Yáñez Sandivari, C. Cortés, P. Rey","doi":"10.1080/03155986.2023.2168583","DOIUrl":"https://doi.org/10.1080/03155986.2023.2168583","url":null,"abstract":"Abstract A stepwise development is proposed for the construction of a model that comprehensively solves the disaster planning and response problem. In addition to traditional logistics costs, the suggested approach incorporates response time sensitivity, social costs related to post-disaster deprivation, the impact of material convergence, and measurable and epistemic uncertainty. Starting from a stochastic model based on previously published scenarios, the global costs of the scenarios are minimized using the expected value of the parameters, in a risk-averse bi-objective function that also optimizes the robustness of the model by minimizing the variability of the parameters whose probabilities are known. Finally, the complexity arising from imprecise parameter values with unknown probabilities is addressed by using chance-constrained fuzzy programming to optimize the risk associated with inter-scenario cost variability and feasibility of the constraints. This formulation is applied to real case study data, demonstrating that both the overall costs and the social cost component of the costs decrease progressively from the base formulation. The model allows the decision-maker to test the sensitivity of the results and thus set the uncertainty parameters and the incorporation of multiple objectives accordingly.","PeriodicalId":13645,"journal":{"name":"Infor","volume":"75 1","pages":"199 - 232"},"PeriodicalIF":1.3,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78104926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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