{"title":"A Mathematical Model for Integrated Green Healthcare Supply Network Design","authors":"M. Nasrollahi, M. Safaei, Nooshin Mahmoodi","doi":"10.4018/ijban.2021010104","DOIUrl":null,"url":null,"abstract":"This research presents a novel integrated mathematical programming model for green healthcare supply network design. A multi-graph integrated supply network was designed to meet real-world situations. Minimizing total cost and minimizing delivery time are considered as the objective functions. Since the considered problem is np-hard and the presented mathematical model is very complex and highly constrained, an innovative non-dominated ranked genetic algorithm (NRGA) called M-NRGA is developed to solve the real word problems. Three different selection procedures were implemented to improve the quality and diversity of solutions in the Pareto-front resulted from M-NRGA. Several numerical examples and a case study are solved to validate the model and performance evaluation of the solution algorithm. Four different performance metrics are implemented for performance evaluation of the solution algorithm. The quality of resulted solutions, the diversity of the solutions in the Pareto front are calculated for evaluation. The results are compared with two other meta-heuristic algorithms.","PeriodicalId":44545,"journal":{"name":"International Journal of Business","volume":"8 1","pages":"58-86"},"PeriodicalIF":0.5000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijban.2021010104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 1
Abstract
This research presents a novel integrated mathematical programming model for green healthcare supply network design. A multi-graph integrated supply network was designed to meet real-world situations. Minimizing total cost and minimizing delivery time are considered as the objective functions. Since the considered problem is np-hard and the presented mathematical model is very complex and highly constrained, an innovative non-dominated ranked genetic algorithm (NRGA) called M-NRGA is developed to solve the real word problems. Three different selection procedures were implemented to improve the quality and diversity of solutions in the Pareto-front resulted from M-NRGA. Several numerical examples and a case study are solved to validate the model and performance evaluation of the solution algorithm. Four different performance metrics are implemented for performance evaluation of the solution algorithm. The quality of resulted solutions, the diversity of the solutions in the Pareto front are calculated for evaluation. The results are compared with two other meta-heuristic algorithms.
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The Journal will serve and provide a forum for exchange of ideas among business executives and academicians concerned with global business and economic issues. With the rapid evolution of corporate business from international to global in recent years, general business has been one of the areas of greatest added complexity and concern for corporate managers. It is no longer sufficient for the corporate manager to limit his/her study simply to the domestic aspects of general business. Almost every single topic that can be studied in general business now has global dimensions that are equally important. As such, practitioners and academicians, each with a unique perspective on global business, must go beyond the presently limited sharing of information and ideas. The Journal will be an academic journal combining academic inquiry and informed business practices. It will publish empirical, analytical, review, and survey articles, as well as case studies related to all areas of global business and economics. A sentiment often expressed by practitioners is that academic research in general may not be addressing the most relevant questions in the real world. To bridge some gaps in our knowledge of the real world, the Journal is thereby willing to sponsor a field research (such as surveys, in-depth interviews, on-site studies, etc.). It is fair to say that the Journal will publish high-quality applied-research papers. Nevertheless, studies that test important theoretical works and shed additional light on the issue with some business implications will also be solicited.
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