Jalal Haghighat monfared Articles List

List of Articles Jalal Haghighat monfared

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1 - Ranking of Pharmaceutical Supply Chain Resilient Suppliers by Incorporating Analytic Network Process and Fuzzy Dematel Techniques
batool askaryan mohammad ebrahim pourzarandi Jalal haghighat monfared
10.30495/imj.2022.688360

In a proper and efficient supply chain, organizations must first identify appropriate and high quality suppliers, then by establishing long-term relationships and partnerships with selected suppliers, seek to acquire and increase the competitive capabilities of the orga More

In a proper and efficient supply chain, organizations must first identify appropriate and high quality suppliers, then by establishing long-term relationships and partnerships with selected suppliers, seek to acquire and increase the competitive capabilities of the organization. The selection of suppliers is based on the characteristics that make the supply chain resilient. If suppliers do not have the right resilience, in today's competitive market, businesses will not only be doomed, but the whole system will be in trouble.Therefore, in this paper, supplier selection in the resilient supply chain is discussed. First, the resilience indicators of the pharmaceutical supply chain are identified through a questionnaire from several experts in the pharmaceutical industry, then the relationships between the indicators will be identified using the fuzzy dematel method, and using fuzzy ANP method, the weight of the factors is calculated and its importance is determined. According to the results, Chinese, Korean and Turkish suppliers have higher weight than other suppliers and in terms of the criteria desired by the company, they are in the top priority. Manuscript profile
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2 - Pattern of production resilience in critical shocks (sanction); A qualitative study based on grounded theory
MEHDI NAZARI hasan mehrmanesh Jala Haghighat monfared
10.30495/imj.2021.681676

Although there is general agreement on the effect of sanctions on production, so far no model has been proposed for production that meets the conditions of the sanctions. In this research, a model of production resilience in critical shocks was presented. The approach o More

Although there is general agreement on the effect of sanctions on production, so far no model has been proposed for production that meets the conditions of the sanctions. In this research, a model of production resilience in critical shocks was presented. The approach of this research is qualitative and in terms of practical and developmental purpose and in terms of method, descriptive-exploratory and data theory. In accordance with the data theory method of the foundation, semi-structured interviews were conducted with production experts (studied by Saipa Automotive Group) and continued until the theoretical saturation based on the snowball technique. After counting 1131 key phrases, 841 first level code, 165 second level code and 79 concepts in open coding stage, 37 categories in axial coding and finally paradigm model in selective coding stage were obtained. The results of the research include causal, contextual, intervening conditions and consequences, specific and most important strategies for acting on factors such as placing the vision of resistance economy in the position of strategy, production appropriate to regional-provincial ecology, implementation of internalization instead of outsourcing, changing intellectual paradigms. Internalization and extraversion, the establishment of a training center for jihadi leaders and the establishment of a center for the accumulation of technical-industrial knowledge in the country are considered as the most important factors in creating resilience. Manuscript profile
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3 - Identifying Agility Assessment Factors using a mixed approach of qualitative and quantitative methods (case study: Automotive Industry)
Eisa Roghani Mamaghani Jala Haghighat monfared Ahmad Jafarnejad
10.30495/imj.2021.681779

To achieve agile manufacturing in any manufacturing industry, needed to measure agility in that industry. The purpose of article is to identify and explain the main factors for measuring agility in the automotive industry as the most important non-oil industry. This res More

To achieve agile manufacturing in any manufacturing industry, needed to measure agility in that industry. The purpose of article is to identify and explain the main factors for measuring agility in the automotive industry as the most important non-oil industry. This research is an applied research in terms of purpose and a mixed qualitative-quantitative research in terms of method. The statistical population of the research in qualitative section is the academics and the automotive industry managers, and in the quantitative section is the experts of the mentioned industry. The method of collecting information has been through a questionnaire. In the qualitative section, First, by researching related articles by meta-synthesis method, 89 sources were selected and 27 criteria for measuring agility were identified. Then the criteria were generalized to the automotive industry by surveying 16 experts using fuzzy Delphi method. Then these criteria were categorized into 4 general clusters of agility drivers, agility enablers, agility strategies and agility capabilities using cognitive mapping method and with the help of 5 industry and university experts. In the quantitative part, by distributing questionnaires and surveys of 286 experts in the automotive industry, the extracted factors were validated by confirmatory factor analysis. These factors and criteria can be a good tool for managers of manufacturing industries to assess and gap analysis of the agility of their organizations. Agility enablers, agility strategies and agility capabilities measure the current level of agility of the organization and agility drivers measure the level of agility required by the organization. Manuscript profile
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4 - identyfication factors resilience of supply chain using fuzzy delphi method and mathematical model for optimal allocation of order
batool askaryan mohammad ebrahim pourzarandi. Jala Haghighat monfared
10.30495/imj.2022.1944787.1714

The supply chain disruptions have caused hundreds of drug shortages since 2011, when a disruption occurs because the supply chain needs to be limited in terms of ability to adapt, so the supply chain needs to provide medicine to the amount and at the right time and acce More

The supply chain disruptions have caused hundreds of drug shortages since 2011, when a disruption occurs because the supply chain needs to be limited in terms of ability to adapt, so the supply chain needs to provide medicine to the amount and at the right time and acceptable quality, but any risk in the supply chain can not only waste resources but also threaten the lives of patients. In such situations, the perceived notion of an organization reflects the organization's ability to face unpredictable situations and if the organization can identify the supplier with suitable stakeholders. The organization has more resistance to disorders. so, in this paper, supplier selection in the تاب supply chain was introduced, first using library analysis and delphi method, the کنندگان factors were identified, and in the end, the mathematical model for optimal allocation of order to suppliers has been identified and then the mathematical model for the optimal allocation of order to suppliers has been developed, and the supply chain transparency is increased to increase managers ' knowledge to understand the necessary changes. Manuscript profile
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5 - Optimization of biomass supply chain network in four levels
Davod Dehghan Kiamars Fathi Hafshejani Jalal Haghighat Monfared
10.30495/imj.2023.1988071.1851

Pollution due to biomass burial, the possibility of producing clean energy from biomass and the high demand for &lrm;energy have made the optimization of the biomass supply chain network important and necessary. The purpose of &lrm;this article is to optimize biomass su More

Pollution due to biomass burial, the possibility of producing clean energy from biomass and the high demand for &lrm;energy have made the optimization of the biomass supply chain network important and necessary. The purpose of &lrm;this article is to optimize biomass supply chain network at four levels in order to reduce economic and &lrm;environmental costs. The most important gap in research, resolved in this article, is the determination of the &lrm;desirable and undesirable outputs of the masses in the centers. Separating and considering the multi-period, multi-&lrm;product mode with heterogeneous transport means. The research model is a two-objective linear programming of a &lrm;correct number mixed with uncertainty and disturbance, four scenarios were designed for this purpose. The model &lrm;was solved with genetic algorithm and MOPSO method and with Python software. Validation of the model was &lrm;investigated in a real case study in Fars province has been The proposed model has been able to implement &lrm;sustainability and resilience at the same time, which has reduced costs, reduced carbon emissions, and increased the &lrm;commercialization of energy production from biomass, thus increasing the willingness of investors to invest in this &lrm;network. It is supplied from the supply chain. The proposed model makes the amount of energy production 2.1% &lrm;lower than when the favorable and unfavorable outputs are not considered, which means it is much closer to reality. &lrm;By performing sensitivity analysis on real data, the efficiency of the model was proved Manuscript profile

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List of Articles Jalal Haghighat monfared