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.
Ahmad Ebrahimi; laya olfat; Maghsood Amiri; Mohammad Taghi Taghavifard
Abstract
The purpose of this study is to design a four echelon supply chain including plants, distribution centers, wholesalers and retailers for fixed lifetime perishable products. The problem is modeled as a multi-objective mathematical modeling for strategic and tactical levels of decision-making like determining ...
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The purpose of this study is to design a four echelon supply chain including plants, distribution centers, wholesalers and retailers for fixed lifetime perishable products. The problem is modeled as a multi-objective mathematical modeling for strategic and tactical levels of decision-making like determining number, size and location of distribution centers and wholesales, product flow between different facilities, inventory levels in product storage centers and also choosing transportation vehicles. The objectives of the model is minimizing total expected cost, total travel time of product in supply chain and also minimizing expected demand deviation by considering product life time. The proposed model by considering different operational scenarios, environmental uncertainty and also probabilistic approach to impotant parameters while considering product life time, varying perishability rate in different storage facilities and also different perishability rate for transportation facilities, tries to cover the research gap in designing perishable products supply chain. With respect to the multi-objective nature of the model, this study uses normal boundary intersection (NBI) approach which has significant superiority compared to other approaches like goal programming. GAMS 24 and MILP solver is used for solving the sample problem.
supply chain management
shahryar marzban; Morteza Shafiee; Mohammad Reza Mozaffari
Abstract
There is a growth of social and environmental concerns about the effects of the food supply chain and many challenges in the food industry, leading to a great deal of pressure from a variety of stakeholders to improve the sustainable performance of the life cycle of perishable products. In this study, ...
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There is a growth of social and environmental concerns about the effects of the food supply chain and many challenges in the food industry, leading to a great deal of pressure from a variety of stakeholders to improve the sustainable performance of the life cycle of perishable products. In this study, we seek to evaluate the performance of sustainable supply chain of perishable products in the food industry. After examining external and internal backgrounds and finding a study gap, the structure of the present research consists of a four -stage supply chain whose input and output variables were selected based on perishable products and the triple dimensions of sustainability. To this end, in order to identify and extract effective input and output and intermediary indicators to calculate the relative efficiency of supply chain in different sectors, field and library studies were extended to the variables and indicators in the field of various activities. Finally, after selecting the indicators, we examined the efficiency of the supply chain and the ranking of efficient units. Due to the main nature of perishable material research, the statistical population of the study, including 18 dairy and meat factories from Fars province, was studied. WinQSB software has been used to analyze the data of network downtown analysis and to model and solve it. The results indicate that the most difficult problems of the companies studied are related to the supply sector, according to the results, suggestions for companies to perform.
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.
supply chain management
Mehrdad kiani; davood andalib ardakani; Habib Zare Ahmadabadi; Seid Heydar Mirfakhraddini
Abstract
Circular economy and Industry 4.0 are concepts that have attracted a lot of attention from businesses and universities in recent years and are currently being promoted by many governments. The synergy of these two concepts provides the ability to move more towards a sustainable society and solve the ...
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Circular economy and Industry 4.0 are concepts that have attracted a lot of attention from businesses and universities in recent years and are currently being promoted by many governments. The synergy of these two concepts provides the ability to move more towards a sustainable society and solve the environmental and economic issues of managing the operations of organizations. The purpose of this research is to analyze the enablers effective on the implementation of the circular economy and Industry 4.0 in the supply chain of the Yazd glass complex. For this purpose, in the first stage of the research, by reviewing various articles and using the meta-syntheses method, related enablers were identified and categorized, which resulted in the identification of 15 enablers in 4 economic, human resources, organizational-management and infrastructure dimensions. In the second step, the Fuzzy DEMATEL technique was used to investigate the cause and effect relationships. The results show that in the economic dimension, "budget allocation for the implementation of circular economy and Industry 4.0" and "stimulation of demand for circular products"; in the dimension of human resources "training and development of employees" and "organizational culture"; In the organizational-management dimension, "support and commitment of senior management" and "cooperation and networking with supply chain partners (industrial coexistence)" And finally, in the infrastructural dimension, "development of information technology standards and infrastructures" and "security and protection of intellectual property rights" are considered to be the most effective enablers for the implementation of the circular economy and Industry 4.0 in the supply chain.
Maryeh Nematizadeh; Alireza Amirteimoori; Sohrab Kordrostami; Leila Khoshandam
Abstract
The electricity industry plays a pivotal role in a country's economic growth and development. It is, therefore, imperative to assess its performance and identify the strengths and weaknesses of its different sectors, such as production, transmission, and distribution, to enhance economic growth in diverse ...
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The electricity industry plays a pivotal role in a country's economic growth and development. It is, therefore, imperative to assess its performance and identify the strengths and weaknesses of its different sectors, such as production, transmission, and distribution, to enhance economic growth in diverse areas. Given the significance of the transmission sector, this research focuses on analyzing and evaluating the performance of 16 regional electricity companies in Iran from 1390 to 1398, with the aim of comprehending the impact of contextual variables on efficiency. To achieve this, the study will utilize two techniques - Data Envelopment Analysis (DEA) and Ordinary Least Squares (OLS) - to determine the efficiency score and estimate the effect of contextual variables on efficiency, respectively. In the first stage, the DEA technique is employed to calculate the technical efficiency of each company, considering their specific inputs and outputs. In the second stage, the logarithm of the efficiency scores obtained is regressed on contextual variables to establish their effect on efficiency. The residual derived from the regression is referred to as managerial ability. Finally, the companies are ranked based on their modified efficiency after removing the impact of contextual variables.
Industrial management
davod dehghan; Kiamars Fathi Hafshejani; Jalal Haghighat monfared
Abstract
Pollution caused by biomass burial, biomass energy profit and demand for energy, supply chain network He has made mass biology more important. The aim of this research is to design a model of the biomass supply chain network with an economic and ecological approach to reduce cost and carbon. ...
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Pollution caused by biomass burial, biomass energy profit and demand for energy, supply chain network He has made mass biology more important. The aim of this research is to design a model of the biomass supply chain network with an economic and ecological approach to reduce cost and carbon. research gaps have been resolved; determination of desired, undesirable and process outputs and simultaneous investigation of material supply disruption It is primary and final product demand. Mathematical model is mixed integer linear programming. The first function is the minimization of costs and the second function is the minimization of carbon emissions. To single-target the function, under uncertainty, the fuzzy TH mathematical model has been used. Uncertainty and disorder have been investigated by scenario building. Validation of the model is a case study in Fars province. According to the findings, the construction of four power plants is justified. The proposed model was able to provide a 2.1 percent more accurate prediction of the amount of electricity produced. Analysis and sensitivity analysis on the parameters of the TH method and on the change of the values of the customers' demands, according to the predictions. The result is that the proposed model, the performance It is good. And it has been able to be cost-effective by integrating economic and ecological approaches. And in reducing the amount of greenhouse gas emissions, it will be attractive and in creating energy security and stability, it will be successful. It has been shown
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.
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