supply chain management
Mina Kazemi Miyangaskari; Mohammad Reza Mehrregan; Hossein Safari; samira keivanpour; Mahmoud Dehghan Nayer
Abstract
Nowadays, the supply chain plays an institutional role in the competition between companies, and the proper management of the supply chain is one of the main concerns of economic enterprises. In the meantime, selecting the supplier as the starter of the supply chain is of great importance because it ...
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Nowadays, the supply chain plays an institutional role in the competition between companies, and the proper management of the supply chain is one of the main concerns of economic enterprises. In the meantime, selecting the supplier as the starter of the supply chain is of great importance because it has considerable influence on various issues like the quality of the final product, the return rate, the cost price of the product, etc. On the other hand, the real world is facing much uncertainty. In such an environment, to consider the uncertainty, it is recommended to use the fuzzy approach. The main objective of this study is to develop a model to choose a supplier and determine the quantity of orders in perishable protein products in uncertain conditions in a retail store. To do so, first, a full-phase multi-objective model for the closed-loop supply chain of the Kourosh Protein company was designed to not only minimize costs and waste, but also to maximize profit, customer satisfaction, quality, and profit margin under conditions of uncertainty. Then, a fully fuzzy multi-objective model was designed. The method of Sharma and Agarwal (2018) is converted into a deterministic single-objective model, and the optimal order amount of each product from each supplier is obtained. The proposed model has been implemented in one of Iran's retail stores for protein products (sausages, sausages, etc.), and the results show that the model can decrease costs and increase profit.
supply chain management
S.Ali Torabi; Yasin Heidari
Abstract
In a competitive world, one of the most important ways to improve the supply chain performance of manufacturing companies is the integrated scheduling of production and distribution activities. Two concerns for dentists and patients are the lack of timely delivery of dentures and multiple production ...
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In a competitive world, one of the most important ways to improve the supply chain performance of manufacturing companies is the integrated scheduling of production and distribution activities. Two concerns for dentists and patients are the lack of timely delivery of dentures and multiple production and correction process of dentures. In this research, to resolve these concerns, a mixed-integer linear programming model is developed to solve the problem of integrated production and distribution scheduling in a supply chain of fixed dentures production under additive manufacturing environment. The objective functions of this model include minimizing the cost of production and distribution of orders and minimizing the weighted total of delays. The Augmented Epsilon Constraint Method is used to find Pareto solutions. To validate the mathematical model, a numerical example and a case study are presented and several sensitivity analyses are performed on the key parameters of the proposed model. The numerical results show considerable improvements in the total costs and customer satisfaction level.
project management
ali mohaghar; Fatemeh Saghafi; Ebrahim Teimoury; Jalil Heidary Dahooie; Abdolkarim sabaee
Abstract
Applying supply chain management in the construction industry faces serious difficulties such as transient nature of construction projects, high customization, low repeatability of activities, lack of production line and reciprocal dependence between activities. Construction supply chains are very complex ...
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Applying supply chain management in the construction industry faces serious difficulties such as transient nature of construction projects, high customization, low repeatability of activities, lack of production line and reciprocal dependence between activities. Construction supply chains are very complex systems that their final performance depends on the combination of hundreds of decisions made in several independent companies.supply chain stakeholders' interactions and the specific characteristics of each project are among the complex phenomena in which many elements and variables are involved and interact with each other in an intertwined manner. Since the viable system model (VSM) is rooted in organizational cybernetic, it is one of the structured ways to deal with complex and unstructured problems. Adopting such a structured approach enables the analyst to become deeply aware of the functional problems of the current system and to understand how to make changes to the system design in order to adapt to internal and external disturbances.In the present study, due to the diagnosis and systemic nature of the VSM, the construction supply chain of an Iranian petrochemical project has been diagnosed. This led to a model development as well as identification of the weaknesses of the construction supply chain from the perspective of the five systems and communication channels, in order to achieve viability.The Validity of the research methodology and findings has been confirmed through the participation of experts and And its innovation is diagnosis of a construction supply chain based on VSM and through a case study method.
supply chain management
hossein karimi; MohhamadJavad Jamshidi; Milad Bakhsham
Abstract
The purpose of this research is to identify the driving components and indicators in the management of the green supply chain based on the Internet of Things. In terms of methodology, this research is a mixed research that was conducted in two stages. First, by reviewing the theoretical foundations and ...
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The purpose of this research is to identify the driving components and indicators in the management of the green supply chain based on the Internet of Things. In terms of methodology, this research is a mixed research that was conducted in two stages. First, by reviewing the theoretical foundations and previous studies through the qualitative content analysis method, indicators related to the drivers of green supply chain management based on the Internet of Things were identified; Then, to verify and validate the identified indicators, these indicators were given to 22 experts in the field of management and information technology. The research results show that the green supply chain model based on Internet of Things has 9 components and 66 indicators. The identified components are: intelligent supply chain management, real-time monitoring of the status of objects in the supply chain, intelligent transfer of objects along the supply chain, intelligent location of objects in the supply chain, information transparency in the supply chain and reduction of corruption, intelligent quality management in Supply chain, intelligent sourcing in the supply chain, intelligent distribution management and intelligent inventory management. The broad drivers of the proposed model indicate the need to pay attention to the use of Internet of Things in supply chain management in order to improve the overall performance of the supply chain and focus on environmental considerations.
supply chain management
mona mousavie; Mahmoud Moradi; Mostafa Ebrahimpour Azbari
Abstract
Increasing costs and complexity on one hand, and increasing risks on the other hand, has led to the fact that risk management is a priority for managers in order to reduce risks and prevent deviation from their goals. Consequently risk is one of the most important supply chain challenges that can affect ...
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Increasing costs and complexity on one hand, and increasing risks on the other hand, has led to the fact that risk management is a priority for managers in order to reduce risks and prevent deviation from their goals. Consequently risk is one of the most important supply chain challenges that can affect the performance NPD. In this research, considering the studies carried out in the production line of the Happy Land clothing factory, a “complete package of layette” was considered as a new developed product, then each of the supply chain risks and product performance dimensions are identified after reviewing theoretical foundations and research background. The Delphi technique was then used to identify the most important identified risks through interviews and questionnaires. In the next step, the cross-impact analysis method was used to extract the relationships between identified factors through the MicMac package. Finally, with the help of the Bayesian network and AgenaRisk10 software, the impact of identified risks on the performance of the selected new product has been studied under sensitivity and scenario analysis. Findings indicate that probability of environmental and Supply risks are 74.4% and 56% respectively, which are more likely to occur than other risks, and three operational, distribution and demand risks, Influenced by environmental and supply risks have the most direct impact on the performance of the new product, especially quality dimension.
supply chain management
Homa Abedi Dehkordi; Ghasem Tohidi; Shabnam Razavyan; Mohammad Ali Keramati
Abstract
Cement factories are scattered around Iran and thus, cement is produced in different weather conditions. Cement production technologies according to access to the type of materials, fuel and including an important source like water different. Accordingly, different input and outputs are significant in ...
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Cement factories are scattered around Iran and thus, cement is produced in different weather conditions. Cement production technologies according to access to the type of materials, fuel and including an important source like water different. Accordingly, different input and outputs are significant in each technology. That causes non homogeneous to produce step between factories and since they all do the work of cement production it is necessary to compare with each other. In this study, the operational processes of five dry, semi-dry, humid, semi-humid, wet slurry have been studied in four companies with nine factories and their efficiency according to the information available from 1396 to 1399 based on network analysis DEA in nonhomogeneous conditions and three stages after the modeling was calculated. One of the most important features of this study is the focus on the supply chain from raw materials to the finished product. Although the raw materials are different in different cement production technologies, the final product is almost the same
modeling and simulation
Fereshteh Koushki
Abstract
It is inevitable for manager to consider the performance effect of each component of a multi-stage system on overall efficiency. Bank branches have two-stage structure where labor, physical capital and financial equity capital are inputs of first stage to raise investments. Investment as output of first ...
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It is inevitable for manager to consider the performance effect of each component of a multi-stage system on overall efficiency. Bank branches have two-stage structure where labor, physical capital and financial equity capital are inputs of first stage to raise investments. Investment as output of first stage which is input of second stage is used in bank services such as bank facilities that are outputs of second stage. Therefore, to evaluate bank performance connectivity between the stages must be considered otherwise efficiency is not calculated correctly. Traditional methods assess multi-stage systems as a black box and neglect the connectivity may exist among the stages. We look inside the system and propose models to improve overall efficiency and efficiency of the stages. In addition, continuity and relationship among stages impose many variables and constraints to the linear programming for evaluation of all the system. Centralized approach calculates efficiency score of units simultaneously by solving only one linear programming and reduces computations considerably. This approach to allocate resources especially in large organizations is commonly used by central manager. In this paper a centralized method is introduced to evaluate units with multi-stage structure. Proposed models are applied to evaluate the efficiencies of bank branches and insurance companies. The superiority of improved network approach and centralized method is demonstrated.
