taher kouchaki tajani; Ali Mohtashami; maghsoud Amiri; Reza Ehtesham Rasi
Abstract
in this paper we have proposed a model based on Mixed Integer Non-Linear Programming for the blood supply chain under conditions of uncertainty in supply and demand, from the stage of receiving blood from volunteers to the moment of distribution in demand centers. The challenges addressed in this optimization ...
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in this paper we have proposed a model based on Mixed Integer Non-Linear Programming for the blood supply chain under conditions of uncertainty in supply and demand, from the stage of receiving blood from volunteers to the moment of distribution in demand centers. The challenges addressed in this optimization model are the reduction of blood supply chain costs along with minimizing the shortage and expiration rate of blood products. The Markov chain has been used to address the uncertainty of donor blood supply. And to estimate the needs of medical centers, the received demand is considered fuzzy. Then The proposed model is solved in small dimensions by GAMS software and in large dimensions by Bat and Whale meta-heuristic algorithms and the results are presented. In addition, a case study is presented to show the applicability of the proposed model. The results show a reduction in the level of costs as well as a reduction in the shortage and expiration of blood products in the supply chain.
supply chain management
Abolfazl Sadeghian; Seyed Mohammad Ali Khatami Firouzabadi; Laya Olfat; maghsoud Amiri
Abstract
Nowadays attending to closed-loop supply chain matter for survival in competitive circumstances not only has been become a controversial topic but also has been considered as a critical topic too. Close loop supply chain has combined to direct and reverse flow (method/ manner). This paper’s goal ...
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Nowadays attending to closed-loop supply chain matter for survival in competitive circumstances not only has been become a controversial topic but also has been considered as a critical topic too. Close loop supply chain has combined to direct and reverse flow (method/ manner). This paper’s goal is presenting a model for inventory control in closed loop supply chain by multiple objective approach. This research intends to reach it's main goal including reduce expenses such as production, maintenance, transportation in direct flow also decrease the waste material and defective in reverse flow and in conclusion increase the company’s profit by desingning and optimizing multiple objective model. Hence a double purpose model in closed-loop supply chain consists three classes direct flow in which conclude suppliers, manufactures and customers. Furthermore this consists four classes in reverse flow that concludes: collection centers, inspection, repair centers, recycling centers and disposal centers. According to the article’s model, which is multipurpose, linear and integer, At the beginning the model convert to single objective by Weighting and Constraint method and then is solved by using Branch and bound algorithm and Lingo software. Finally, the model extended in Iran Khodro Company as a study case and its function validated. Results and output of model solving demonstrate its capability to be useful for planning and inventory control in closed-loop supply chain.
safety,risk and reliability
Seyedeh Sara Khorashadizadeh; Jalal Haghighat Monfared; Mohammadali Afshar Kazemi; Shahram Yazdani
Abstract
The aim of this study was to propose a comprehensive risk classification for pharmaceutical industries. Bailey’s classical strategy method was used to develop the classification. Systematic review of literature was used for identification of articles related to supply chain risk management in pharmaceutical ...
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The aim of this study was to propose a comprehensive risk classification for pharmaceutical industries. Bailey’s classical strategy method was used to develop the classification. Systematic review of literature was used for identification of articles related to supply chain risk management in pharmaceutical industries. 77 articles were selected for final review. The selected articles examined in three stages of extracting and classifying the main risk groups of the supply chain (the first dimension of the conceptual framework of classification), extracting and classifying criteria for safety and security of supply chain (the second dimension of the conceptual framework of classification) and applying the two-dimensional framework of classification to identify and classify risk factors of the supply chain. Eventually 372 risk factors were identified and classified by applying the classifying frameworks to literature of pharmaceutical supply chain risk management. The proposed classification can be used as a reference classification in studies related to supply chain risks.
production and operations management
Morteza Saeidi; Mostafa Ebrahimpour Azbari; MohammadRahim Ramazanian
Abstract
The purpose of this Article is to Designing a model for improving the Sustainable Performance of Small and Medium Food Companies in Guilan Province so that in the current environment, managers and decision makers by recognizing the factors, challenges and consequences to improve the sustainable performance ...
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The purpose of this Article is to Designing a model for improving the Sustainable Performance of Small and Medium Food Companies in Guilan Province so that in the current environment, managers and decision makers by recognizing the factors, challenges and consequences to improve the sustainable performance of Small and Medium Food Companies. The present Article is in the category of applied research from the perspective of purpose, in the category of exploratory-descriptive research in terms of nature and in the field of field studies based on data collection.This Article is in the category of qualitative research. A paradigm model was created by the Grounded theory method through three stages of open, axial and selective coding. The Results of data Analysis using Grounded Theory led to the formation of 13 main floors, 29 main categories and 248 concepts. The six main classes of paradigm model of the Grounded theory using theoretical coding in the form of: pivotal phenomenon (sustainable performance improvement), causal conditions (organizational survival, social and environmental obligation, gaining competitive advantage), contextual conditions (environmental factors, organizational factors), Interfering Conditions (environmental factors, organizational factors), strategies (macro level, organizational level). Finally the Economic, Social and Environmental consequences of achieving Sustainable Performance Improvement were achieved by implementing the strategies.
uncertainty
Hossein Firouzi; Javad Rezaeian; Mohammad Mehdi Movahedi; Alireza Rashidi Komijan
Abstract
A multi-objective mathematical model for the reverse supply chain of hospital waste management in Iran during the COVID 19 is presented in this paper considering the dimensions of sustainability. The objectives of the presented model are: 1) Minimizing the cost of building facilities and waste treatment ...
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A multi-objective mathematical model for the reverse supply chain of hospital waste management in Iran during the COVID 19 is presented in this paper considering the dimensions of sustainability. The objectives of the presented model are: 1) Minimizing the cost of building facilities and waste treatment at the centers, vehicle fuel costs and environmental costs due to emission pollutant; 2) Maximizing the energy generated by the waste combustion process; 3) Minimizing the risk of virus transmission due to poor waste management and 4) Maximizing the number of labor jobs in established centers. Noted that, the existing uncertainties are modeled by using fuzzy set theory. Due to the multi-objective nature of the model, two multi-objective algorithms namely Pareto archive based krill herd algorithm and Non-dominated Sorting Genetic Algorithm II (NSGA II) are used to solve the mentioned problem. The results show that the proposed krill herd algorithm converges to a solution with higher quality and dispersion than the NSGA-II. In addition, by comparing the spacing index and running time of the two algorithms, it’s found that the NSGA-II searches the space solution with higher uniformity and solves the model in less time.
