جستجوی مقالات مرتبط با کلیدواژه « پایداری » در نشریات گروه « صنایع »

Nowadays, the issue of supply chain network design has garnered significant attention in supply chain management. Researchers have focused on the competitiveness of markets and the pursuit of greater benefits. Therefore, this article presents a multi-objective mathematical model for the    design of a dynamic and integrated supply chain network, specifically addressing a competitive and sustainable closed-loop supply chain for a perishable commodity. The proposed model        incorporates competition between two supply chains, considering environmental, social, and resilience factors. To solve this competitive model, a two-step approach is introduced. In this two-stage approach, the first stage involves calculating equilibrium values for competitive decisions using game theory. Then, in the second stage, an innovative multi-objective algorithm based on Pareto optimization is employed to solve the network design problem, taking into account the results from the competitive stage and addressing the complexities of the proposed model. Finally, the efficiency of the proposed model and solution approach is evaluated using a numerical example analyzed graphically and statistically. The results and graphs demonstrate that the proposed model performs well and successfully achieves the intended objectives.

The sustainability of supply chain processes is one of the up-to-date infrastructures needed by organizations in tough competitive conditions, so that supply chain sustainability has become a strategic organizational issue. The health system has one of the most complex supply chains due to its relationship with human health, and the drug supply chain is a part of this system. The purpose of this research is "to design a maturity model of supply chain sustainability with a continuous improvement approach in the pharmaceutical industry of Iran". This research is an exploratory mixed research. The first stage of the research is qualitative due to the need to determine the required components of the model. In this stage, using the methods of literature review and systematic review, the required data were collected from scientific articles of domestic and foreign journals and analyzed using the methods of content analysis and thematic analysis, and in the second stage of the research, the opinions of 16 academic experts and An industry was collected and analyzed in the form of quantitative data using a questionnaire in the Delphi method, it is quantitative. The designed maturity model has a descriptive, prescriptive and comparative approach. Designing a supply chain sustainability maturity model for other industries, clarifying the status of the country's pharmaceutical industry's supply chain sustainability using the designed maturity model, and developing a supply chain sustainability standard for Iran's pharmaceutical industry are suggested for future research.

Customers now care more than ever about the sustainability and reliability of products packaging. This research considers a multi-product and multi-period closed-loop supply chain design problem with three objectives of profitability, social responsibility, and reliability under uncertain conditions. Triangular fuzzy numbers have been used for non-deterministic parameters and a robust probabilistic programming approach with Me scale has been used to deal with fuzzy constraints. The proposed approach eliminates the need for iterative consideration by decision-makers by providing unlimited choices from the optimism-pessimism spectrum. The mathematical model developed in this study is of mixed integer linear programming type, which is implemented Augmented Epsilon Constraint (AEC) method in GAMS software to solve it and find Pareto optimal solutions. The accuracy of the overall performance of the proposed model has been evaluated with four examples (based on the coefficients of the objective functions) from a case study in the Carton-Making Industry. The obtained results indicate the existence of a conflict between the three objective functions. With this account, decision-makers should demand lower profits for increased environmental protection and improved reliability compared to the situation where only the economic aspect is considered. The variability of the justified decision space in the Me criterion has helped to solve the supply chain network design problem more flexibly and closer to reality through the possibility of exchange between the objective function and the risk-taking level of the managers.

Energy resources are one of the most important factors and elements of sustainable development in any country. Therefore, according to the increasing need of countries for development, the amount of use of renewable energies has been increasing, so that one of the indicators of development is energy consumption. One of the processes that can be effective in any country to consider this importance and apply it to all work processes is supply chain management. Considering the importance of this issue, in the present research, an effort has been made to model the supply chain and decision-making at the level of macro-planning, taking into account the three dimensions of economic, social and environmental sustainability. The basis of this research is a mathematical programming approach and a method for modeling the renewable energy supply chain. An attempt has been made to model by considering the dynamics of valuation of indicators in the form of a supply chain and by solving the model using Lingo software, we can achieve a more stable solution at the planning level of the supply chain. Considering the capability of the process, as a quality criterion in the evaluation process of renewable energy indicators, as well as valuing the indicators in the first stage with the help of the data envelopment analysis, are innovations of this model. The results of solving this problem are a set of indicators that according to the conditions of the problem and the importance of each indicator in each layer of the supply chain, the most important ones are selected and applied to develop a suitable strategic plan framework for the development of this type of energy in the country.

This paper focuses on modeling a sustainable electricity industry supply chain network under uncertainty. The aim of presenting this supply chain network is to meet customer demands for solar panels to generate clean energy.

A mixed-integer linear programming model, including facility location, supplier selection, optimal flow allocation, and determination of the optimal price of solar panels in the network, is considered. The sustainability objectives of the model include maximizing the profit of the supply chain network, minimizing greenhouse gas emissions, and maximizing reliability. A robust optimization method is also considered to control uncertain parameters, and precise and innovative techniques are used to solve the model.

The results of the model show that with an increase in network reliability, the current net value in the network decreases, and greenhouse gas emissions in the network increase. Additionally, the analysis of the results shows that with an increase in the network's uncertainty rate, the network's current net value and reliability decrease, and greenhouse gas emissions increase. Finally, the statistical test results also show that there was no significant difference between the averages of the number of practical solutions, the maximum spread, and the metric distance between the two algorithms, and only a significant difference exists between the solution times of the two algorithms. The results of the presented solution methods demonstrate their high efficiency in solving the sustainable electricity industry supply chain model.

Originality/Value:

 In the proposed model, essential decisions such as supplier selection, establishment of production centers, optimal product flow allocation, and pricing of solar panels are made. On the other hand, further analyses of 15 numerical examples show the high efficiency of the MOALO and MOWOA algorithms compared to the epsilon-constraint method.

The production routing problem is created by combining the two problems of lot sizing and vehicle routing. Previous research has examined the effectiveness of this combination in reducing costs. In this paper, the production routing problem is considered with the aim of minimizing the risk of production and distribution of hazardous materials. Attention to social and environmental criteria related to sustainability is being increased by researchers today. Hazardous materials are harmful to human health and the environment. Accidents related to these materials often have far-reaching adverse consequences. Risk is a danger measurement criterion for operations related to these materials.

The problem is modeled as a mixed integer program. The risk function in the proposed model is nonlinear and depends on the load of the machine, the population risk, and the type of hazardous material. Given that solving the mathematical model with the nonlinear objective function is more difficult, this function is approximated by a piecewise linear function.

In this research, 8 standard instances have been used to evaluate and solve the model and compare the two nonlinear and linear models. The results show that by using the approximate model, a better answer can be achieved at the same time. Through sensitivity analysis, the effect of changes to production capacity and warehouses on risk has also been looked into.

Originality/Value:

 This research proposed the production routing problem for hazardous materials according to sustainability criteria using a nonlinear mathematical model and uses a piecewise linear approximation to solve the model.

The continuity of any business depends on responding to customers' ever-changing needs. Production of innovative products is an effective way to meet this need. Design is one of the main tools for companies to achieve innovation. Designing a sustainable and reliable supply chain as an innovative strategy can gain customer satisfaction and ensure the company's survival. In this regard, the agenda of the present research is the descriptive analysis and content analysis of supply chain network design models, which considered sustainability and reliability in an integrated manner. This literature review includes 65 articles published in Web of Science and Scopus databases from 2011 to August 2022. The research result showed that the integration of sustainability and reliability in the supply chain network design is vibrant and rapidly growing in various industries. Developing countries and the energy industry with the most significant number of articles have been the research fields of the studies. Most of the studies have considered the structure of the supply chain as a forward flow. Mixed integer linear programming (MILP) is the most widely used modeling approach supported by heuristic and meta-heuristic algorithms. The results of the present review can be used as a guide by planners and policymakers to formulate strategies and policies to advance the sustainable-reliable program effectively.

Today, with the globalization of business and the acceleration of competition, organizations need to be equipped with new competitive tools to meet the growing demand of customers and be diligent in developing their software and system. Sustainable supply chain processes are one of the most up-to-date and required infrastructures of organizations in tough competitive conditions. In recent years, the sustainability of the pharmaceutical industry has been considered by researchers, policy makers and managers of this industry. The purpose of this study is to identify the drivers, enablers and challenges of supply chain sustainability in the pharmaceutical industry in order to identify future research opportunities. In order to achieve the objectives of the research, the method of systematic review and content analysis has been used to review 46 scientific research articles with specific reference to the pharmaceutical industry. Findings show that the trend of articles on the sustainability of the pharmaceutical industry in recent years is upward and the focus of researchers is more on environmental sustainability and the challenges of implementing sustainability and the social and economic dimensions of sustainability have been less considered. In order to strengthen the drivers and enablers and limit the challenges of supply chain sustainability in the pharmaceutical industry, research topics: Investigating the impact of supply chain sustainability on energy efficiency, Investigating the impact of drug waste management on social and economic dimensions, Designing sustainability reporting structure, Designing sustainability requirements The supply chain has been proposed for future research.

In the most investigations of sustainability, including environmental, social and economic issues, in addition to the desirable outputs, undesirable outputs are also presented, which is an obstacle to sustainable development. In this regard, the purpose of this paper is providing an approach based on Data Envelopment Analysis (DEA) with different forms of weak disposability of undesirable outputs to move towards sustainability.

Presenting a DEA-based model, the sustainability and performance of each dimension of sustainability are calculated simultaneously, while undesirable outputs are present with different forms of weak disposability. The sustainability performance of provincial gas companies is examined using the proposed technique.

The results show that the proposed method in the performance analysis of sustainability and its dimensions is efficient when undesirable outputs are presented.

Originality/Value:

 DEA provides a variety of disposability to minimize undesirable outputs and moves to optimize. In this study, an integrated approach with different forms of weak disposability is presented to analyze sustainability.

Biomass supply chain network design decisions are the most important part of the strategic level of supply chain management decisions, which include determining the location of facilities, their number and capacity, their allocation to different resources and markets, and the integration flow among facilities. An appropriate design has a significant influence on flexibility, efficiency and consequently the performance of the biomass supply chain. In this paper, a mathematical model with a robust optimization approach is presented to design a resilient and sustainable biomass supply chain under uncertainty in bioenergy demand and disruption in bioenergy refinery. By determining resilience factors and sustainability indicators, the relationship between resilience factors was determined and then the resilience factors were prioritized using fuzzy TOPSIS. Resilience factors with high priority are considered in the mathematical model. The first objective function considers profit maximization by considering all sustainability costs and the penalty of shortage or surplus of bioenergy demand and minimizing resilience factors . In addition, Robust method is proposed to overcome the uncertainty in bioenergy demand and the results of model solving with GAMS software are presented to show the model capability and sensitivity analysis of basic parameters. One of the innovations of this paper is to provide a way to measure resiliency based on the residual capacity after the disruption compared to before the disruption, which is presented in the first constraint. Finally, the parameters in the mathematical model are tested using a case study in the Organization of Renewable Energy and Energy Efficiency through numerical, feasibility and applicability of the proposed research approach. The obtained results show the valuable efficiency of the proposed model in increasing the biomass supply chain performance.</em>

The world is now in the throes of a public health crisis caused by the Covid virus, which has affected people in almost every aspect of daily life and left the world economy in a state of uncertainty. Also, the epidemic of the virus in the payment industry and supply chains has caused many changes, so the present study with an interpretive approach has identified the variables of electronic supply chain stability from the perspective of blockchain activists and university professors. The research approach to the applied method is qualitative methodology and the data method of the foundation has been used to conduct research operations. The data of this study were collected using semi-structured interviews. The sampling method used in this study is purposeful sampling and using the theoretical saturation index, 10 prominent university professors and activists in the field of blockchain were interviewed as a research sample. Their attitudes and views on the research topic were examined. Research findings User relationship flow, service flow, information flow, financial flow, environmental flow affecting the core platform of identifying and managing suppliers, demand management, technology and information management, environmental management as causal and environmental conditions Technological, social environment, economic environment, legal environment as background conditions and political factors, determining international market factors as intervening conditions from the perspective of experts. Finally, policy and planning, infrastructure, awareness and training of appropriate solutions. Which will lead to improved quality of goods and services, improved performance, improved social space, improved financial processes, improved environment.

In this research, by studying the research background and using the latest version of SCOR model and experts' opinion, while identifying the factors affecting supply chain stability and determining the weight of each factor by IVHF-DANP method, the priority of SSCM rings has been determined using EHFL-VIKOR method in cement industry with the aim of improving supply chain performance. Consequently, in addition to six criteria of SCOR model and three dimensions of sustainability approach, ten other factors have been determined by experts and in total, the weight of nineteen factors has been determined and the customer's interest ring has the most preference. Then, the relevant mathematical model was presented and solved in GAMS software using NSGA-II method in MATLAB software. The combined integrated model of sustainable supply chain has been dealt with in this research since the whole supply chain -from the primary supplier to the final customer- is considered in forming and solving the model and each of the objective functions has been realized by assigning the characteristics of the SCOR model to the three dimensions of the sustainability approach formed accordingly.

 The present study aimed to investigate the effect of organizational culture dimensions on the development and improvement of organizational technology. The method of the present research is applied and descriptive-survey in nature. The statistical population consists of the total number of start-up companies in Iran, which at the time of collecting research data was 2221 companies, and according to Morgan's table, 327 companies were selected as the sample size. In order to analyze the data, descriptive statistical methods such as mean calculation and standard deviation were used. Then, in order to predict the development of organizational technology through the dimensions of organizational culture in the study population, stepwise linear regression test was used. The results of this study showed that all variables and dimensions of organizational culture have a positive, direct and relatively high correlation with organizational technology. And the analysis of stepwise regression test also showed that the organizational technology of start-up knowledge-based companies can be predicted by combining all four dimensions of organizational culture. Therefore, recommended that the companies under study, before using a particular type of technology, identify and analyze their organizational culture and use the appropriate technology in accordance with the level of their culture.

Considering the increasing development of ecolodges in Iran and also their role in the development of sustainable tourism, it seems that a comprehensive and successful business model for this socio-economic institution has not yet been introduced. The purpose of this study is to identify the factors affecting the sustainability of ecolodges and propose a sustainable business model based on the knowledge of experts and managers of these businesses. The research method of this paper is qualitative and thematic analysis has been used with deductive approach and descriptive-inferential method. The required data has been provided through the analysis of semi-structured experts interviews. The research community has been the managers of successful ecolodges and knowledgeable university professors and experts in the field of entrepreneurship and tourism in the country. Purposeful judgmental sampling method was used to select the research sample and the interviews were continued until theoretical saturation. The research tools were semi-structured in-depth interviews as well as the results based on the themes obtained from the content analysis of scientific texts. The findings show that according to the proposed sustainable business model, ecolodges need to be integrated and important for all three dimensions of economy, community and environment in order to have long-term sustainability and survival. The results of this study show that the sustainability of new businesses and ecolodges depends on adopting a diverse income portfolio and trying to achieve benefits in three dimensions: economic, socio-cultural, environmental, in other words, attention to the benefits, people and land.

Neuromarketing is an interdisciplinary and emerging field which can be used in order to relate consumer behavior to neuroscience. So, in recent decades, the importance and interest in buying sustainable products for protecting the environment has been increased. Thus, the present study was done with the aim of fuzzy analytic hierarchy process of neuromarketing evaluation criteria for sustainable products.

The research was performed with a quantitative approach and by using multiple-criteria decision analysis. For this purpose, in order to gain a deep understanding of the subject and collecting useful data, after carefully reviewing the related studies, the views of 16 experts were collected using a fuzzy hierarchical researcher-made questionnaire, which the inconsistency rate of the questionnaires confirmed reliability of them. Also, sensitivity analysis was used to ensure.

The results showed that the criteria for evaluating neuromarketing are in seven categories, which based on FAHP are: accuracy, biasness, exploration of memory and emotion, information quality, usefulness, time saving, cost, respectively. Also, the alternatives of marketing for sustainable products affected by neuromarketing in order of priority are: advertising, product design and development, branding, consumer decision, pricing and distribution. Sensitivity analysis also showed that the research findings are confirmed, but in the case of two criteria of biasness and exploration of memory and emotions, there is a possibility of displacement.

Originality/Value:

 Neuromarketing, due to the provision of high-precision and high-quality information and the reduction of bias in the analysis of results, provides the possibility of predicting consumer buying behavior and affects the marketing mix of sustainable products.

In the current complicated supply chains, sustainability and two social and environmental perspectives have significantly caught researchers’ attention due to their significant role in cost reduction. The present study aims to propose a sustainable multi-tier supply chain model for power plant products for industrial and manufacturing factories.

To this end, a mathematical model was proposed with three

maximizing the social responsibility, minimizing the emission of environmental pollutants, and reducing the costs of the supply chain. The whale and genetic metaheuristic algorithms were employed to propose and solve the model since sustainable supply chain planning was considered an NH-hard problem.

In order to solve the proposed model, the experimental sample was designed in three groups including small, medium, and large in terms of the data of Atmosphere Company. The results of whale optimization and genetic algorithms were compared according to the comparative indices of quality, dispersion, uniformity, and solving time.

Originality/Value:

 According to the results, the whale algorithm was able to provide higher quality and near-optimal solutions than genetic algorithm; in addition, by comparison, it could efficiently explore and extract possible areas of the solution in terms of quality and dispersion indices. However, a shorter amount of time was required for genetic algorithm to uniformly find solutions.

Today, many transportation systems use hub and spoke structures to transfer flow (good, message, passenger, etc.) from origin to destination. In such systems, the manager must plan for the location of the hubs and the allocation of other demand points to the hubs and other decisions during the planning horizon. Also, if the planning horizon is continuous time, the manager must also determine the timing of implementing the decisions. To determine the optimal decisions during the planning horizon and the best time for implementing decisions (i.e., breakpoints) according to sustainability aspects. In this research, a mathematical programming model is presented for a sustainable multi-period hub location problem in which the transportation demand between different origin-destination pairs is time-dependent and the planning horizon is continuous-time. The problem is formulated as a nonlinear multi-objective mixed integer programming model. Sustainability aspects are considered as objectives of the model. These objectives are minimizing transportation system costs, minimizing emissions in the transportation network, and maximizing fixed and variable job opportunities created by hubs during the planning horizon. Also, some valid inequalities are presented for strengthening the formulation of the problem. To solve the problem, we first use the Augmented Epsilon Constraint method version 2 (AUGMECON2) and then, use a dynamic programming approach to determine the optimal values of the breakpoints of the planning horizon. Using the proposed dynamic programming method, in each stage, some of decision variables are fixed and the number of variables in the original problem is reduced and instead of a nonlinear mixed integer programming problem, we solve a mixed integer linear programming problem that is easier to solve. The results of the solution methods are presented for a sample problem on the Turkish network dataset. Also, the CAB dataset is used to validate the dynamic programming method. The results show that the dynamic programming approach can solve problems with up to 25 nodes and 6 time periods.

The current study aims to provide a framework for evaluating the large projects based on the sustainability dimensions and with agility approach using data envelopment analysis.

To this end, sustainability indicators, agility indices in project management and project management critical success factors are identified. By calculating the large projects efficiency numbers in each of attitudes include financial, social and environmental, three dimensions of sustainability and by drawing a regional graph based on the projects’ efficiency numbers in both attitudes of agiliy and project management critical success factors, the project performance is studied in both attitudes. 

Graphs and efficiency results in sustainability attutudes show that among 27 projects, just three projects are efficient in all three attitudes. In addidtion, to deliver product/service in the shortest time is the meaning of delivering value to the customer with extending the agility in project management. Also, to protect the resources for the next generation, project manager can dedicate the financial and social resources in order to control the environmental impacts of the projects in parallel with the sustainable development principles which which can be translated to be responding efficiently and effectively to the customers while meeting the requirements of the sustainable development. 

The project as a temprory organization should be managed in such a way that while adapting to the changes and being agile in responsiveness, it also keeps the time range, cost and qulity for delivering the created product/service. Agility has been proposed as an approach to gain and keep the competitiveness in a changing and unpredictable environment and it focuses on meeting customers needs while sustainability attitude does focus on the reduction of the udesireable affects of the meeting customers demands. To integrate these two concepts in the field of project management leads to the efficiency and success of the project, comprehensively.

The purpose of this research is to design a comprehensive model of sustainable human resource management system in order to develop the automotive industry. The present research is applied in terms of purpose, descriptive-survey in terms of inference method and qualitative and quantitative in terms of data nature. In order to achieve the objectives of the research using non-probable snowball sampling method (chain reference), the opinions of 15 experts in the field of human resources as well as senior development managers of Iran Khodro and Saipa companies were used. The present study was conducted in two stages, first with the data theory approach and with the help of NVivo Plus 2020 software, the code was identified and during open coding, 122 items were obtained as basic concepts from the text of the interviews in the form of 19 indicators and five dimensions. Causal conditions, contextual conditions, interventionist conditions, strategies and strategies, and outcomes and consequences were categorized. In order to validate the results of interviews and screen the indicators affecting sustainable human resource management in support of the development of the automotive industry, in addition to member control, a questionnaire and fuzzy Delphi method were used. The results of this part of the study showed that all 19 indicators were approved by research experts and their validity and reliability were also confirmed. Finally, a comprehensive model of sustainable human resource management system with an automotive industry development approach was designed in the form of a paradigm model.

The design of sustainable supply chain networks has attracted more attention in recent years as it encompasses all three economic, social and environmental factors at the same time. The lean philosophy is to achieve a system that is free from any waste. There are different techniques to implement lean in the organization. Each of these techniques, through their effects, helps the organization to improve sustainability performances of the overall business. This paper proposed a multi objective mixed integer nonlinear programing for sustainable supply chain network design using lean techniques. The proposed model is aimed at maximizing social benefits while minimizing economic costs and environmental impacts. In this paper, 10 lean techniques with the effects of each are introduced, which calculate the impact of each of these techniques on different aspects of sustainability. we introduce a solution procedure based on linearization . Finally, a single aggregated objective function is derived using a fuzzy goal programming approach. In addition, sensitivity analysis is conducted to provide deeper understanding of the proposed model. The results show that lean implementation in supply chain design reduces costs, helps the organization to improve sustainability performances, and gives better results when compared to the non-compliant state.