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Mohammad Khalilzadeh
CENTRUM Católica Graduate Business School, Lima, Peru

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Earlycite article
Published: 28 June 2021 in Kybernetes
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Purpose This study aims to develop a model for project portfolio selection considering organizational goals such as budgets, sustainability cash flow and reinvestment strategy under an uncertain environment. Design/methodology/approach A multi-objective mathematical programming model is proposed for project selection, which takes the social, environmental and financial aspects into account as the objectives of the project portfolio selection problem. The project evaluation and selection process in one of the large capitals in the Middle East with numerous urban construction projects was considered as a real case study, in which the subjects of environmental and social sustainability are of great importance. Then, the most significant criteria for project evaluation and selection based on sustainability were identified and ranked using the fuzzy best-worst method (BWM). Findings The criterion of “defining clear and real objectives” was ranked first, “project investment return period” was ranked second, “minimum changes in the predicted range” was ranked third, and the other ten sustainability indicators were ranked as well. Next, the presented mathematical programming model was solved using the augmented e-constraint method. The sensitivity analysis indicated that increasing the amount of investments in projects would increase their net present value. Also, increased investment had no effect on sustainability, while decreased investment caused sustainability to not being optimal. Originality/value This study focuses on the impact of the amount of investments on projects, and the associated costs of sustainable projects. Further to the authors' knowledge, there has been no relevant study taking uncertainty into account. Also, very few studies proposed a mathematical programming model for the project portfolio selection problem. Moreover, this research uses the brainstorming and Delphi method to identify the sustainability indicators influencing the organization and screens the evaluation indicators. Furthermore, the weights of the evaluation indicators are determined using the fuzzy BWM based on the consistency of opinions.

ACS Style

Mohammadali Zarjou; Mohammad Khalilzadeh. Optimal project portfolio selection with reinvestment strategy considering sustainability in an uncertain environment: a multi-objective optimization approach. Kybernetes 2021, ahead-of-p, 1 .

AMA Style

Mohammadali Zarjou, Mohammad Khalilzadeh. Optimal project portfolio selection with reinvestment strategy considering sustainability in an uncertain environment: a multi-objective optimization approach. Kybernetes. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Mohammadali Zarjou; Mohammad Khalilzadeh. 2021. "Optimal project portfolio selection with reinvestment strategy considering sustainability in an uncertain environment: a multi-objective optimization approach." Kybernetes ahead-of-p, no. ahead-of-p: 1.

Journal article
Published: 20 June 2021 in Sustainability
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Sustainable development of any country to some extent depends on successful accomplishment of construction projects, particularly infrastructures. Contractors have a key role in the success of these projects. Hence, the selection of a competent contractor as a complicated and hard decision process has a vital importance in the destiny of any construction project. Contractor selection is in essence a multicriteria decision-making that ought to encompass so many aspects of the project and the client’s requirements on one hand and the capabilities and past records of the contractors on the other hand. Failure in selecting a competent contractor may cause time and cost overruns; quality shortcomings; increasing in claims, disputes and change orders; and even failure of the project. In spite of deficiencies of selecting a contractor by the rule of “the lowest bid price”, it still prevails in many countries including Iran. In this paper, a new contractor selection model based on the best-worst method (BWM) and well-known Fuzzy-VIKOR techniques is proposed as a solution to overcome the deficiencies of the traditional “lowest bid price” rule. An illustrative example of a water channel construction project verified the applicability of the proposed model in practice.

ACS Style

Aziz Naghizadeh Vardin; Ramin Ansari; Mohammad Khalilzadeh; Jurgita Antucheviciene; Romualdas Bausys. An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects. Sustainability 2021, 13, 6933 .

AMA Style

Aziz Naghizadeh Vardin, Ramin Ansari, Mohammad Khalilzadeh, Jurgita Antucheviciene, Romualdas Bausys. An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects. Sustainability. 2021; 13 (12):6933.

Chicago/Turabian Style

Aziz Naghizadeh Vardin; Ramin Ansari; Mohammad Khalilzadeh; Jurgita Antucheviciene; Romualdas Bausys. 2021. "An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects." Sustainability 13, no. 12: 6933.

Research paper
Published: 30 May 2021 in Iranian Journal of Science and Technology, Transactions of Civil Engineering
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Today, project stakeholders seek to reduce the total costs and durations of projects while increasing their quality levels. Also, the governments have paid more attention to the environmental effects of projects. This study tackles the time–cost–quality-environmental effects trade-off project scheduling problem. Various activity execution modes are evaluated using the network data envelopment analysis (NDEA) method to select the best modes in order to mitigate the environmental impacts, along with reducing the duration and cost of project implementation and enhancing the overall quality of the project. The method of ideal and anti-ideal virtual units is applied to rank the efficient execution modes. In addition, the TOPSIS method is utilized to rank the different execution modes of each activity. Finally, the results of two methods are compared. The findings show that the selection of an efficient execution mode for each activity leads to a trade-off between the four project objectives including time, cost, quality, environmental impacts. The shortest project duration and the lowest total project cost were obtained using the NDEA-Nuo method, the highest quality level was gained by the NDEA-INP method, and the minimum environmental impacts of the entire project were attained by the TOPSIS method. Also, the lowest amount of resource consumption was obtained using the TOPSIS method, so that the daily consumption amount of each resource was less than the other two methods. As a result, the project management team can apply either the NDEA or TOPSIS method based on the organizational policy.

ACS Style

Sayyid Ali Banihashemi; Mohammad Khalilzadeh. Evaluating Efficiency in Construction Projects with the TOPSIS Model and NDEA Method Considering Environmental Effects and Undesirable Data. Iranian Journal of Science and Technology, Transactions of Civil Engineering 2021, 1 -17.

AMA Style

Sayyid Ali Banihashemi, Mohammad Khalilzadeh. Evaluating Efficiency in Construction Projects with the TOPSIS Model and NDEA Method Considering Environmental Effects and Undesirable Data. Iranian Journal of Science and Technology, Transactions of Civil Engineering. 2021; ():1-17.

Chicago/Turabian Style

Sayyid Ali Banihashemi; Mohammad Khalilzadeh. 2021. "Evaluating Efficiency in Construction Projects with the TOPSIS Model and NDEA Method Considering Environmental Effects and Undesirable Data." Iranian Journal of Science and Technology, Transactions of Civil Engineering , no. : 1-17.

Earlycite article
Published: 09 April 2021 in Journal of Humanitarian Logistics and Supply Chain Management
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Purpose The number of natural and man-made disasters is remarkable and threatened human lives at the time of occurrence and also after that. Therefore, an efficient response following a disaster can eliminate or mitigate the adverse effects. This paper aims to help address those challenges related to humanitarian logistics by considering disaster network design under uncertainty and the management of emergency relief volunteers simultaneously. Design/methodology/approach In this paper, a robust fuzzy stochastic programming model is proposed for designing a relief commodity supply chain network in a disaster by considering emergency relief volunteers. To demonstrate the practicality of the proposed model, a case study is presented for the 22 districts of Tehran and solved by an exact method. Findings The results indicate that there are many parameters affecting the design of a relief commodity supply chain network in a disaster, and also many parameters should be controlled so that, the catastrophe is largely prevented and the lives of many people can be saved by sending the relief commodity on time. Practical implications This model helps decision-makers and authorities to explore optimal location and allocation decisions without using complex optimization algorithms. Originality/value To the best of the authors’ knowledge, employee workforce management models have not received adequate attention despite their role in relief and recovery efforts. Hence, the proposed model focuses on the problem of managing employees and designing a disaster logistics network simultaneously. The robust fuzzy stochastic programming method is applied for the first time for controlling the uncertainties in the design of humanitarian relief supply chains.

ACS Style

Omid Kebriyaii; Marzieh Hamzehei; Mohammad Khalilzadeh. A disaster relief commodity supply chain network considering emergency relief volunteers: a case study. Journal of Humanitarian Logistics and Supply Chain Management 2021, ahead-of-p, 1 .

AMA Style

Omid Kebriyaii, Marzieh Hamzehei, Mohammad Khalilzadeh. A disaster relief commodity supply chain network considering emergency relief volunteers: a case study. Journal of Humanitarian Logistics and Supply Chain Management. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Omid Kebriyaii; Marzieh Hamzehei; Mohammad Khalilzadeh. 2021. "A disaster relief commodity supply chain network considering emergency relief volunteers: a case study." Journal of Humanitarian Logistics and Supply Chain Management ahead-of-p, no. ahead-of-p: 1.

Research article
Published: 19 March 2021 in International Journal of Construction Management
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Despite emphasizing the great importance of stakeholder management, there is a gap in applying a decision support system to adopt sustainable strategies for stakeholder engagement and conflict resolution especially in oil and gas projects. This paper presents a new framework for adopting the strategies in one of the largest oil and gas projects in Iran. In this proposed framework, firstly, the hybrid SWOT analysis and fuzzy Delphi method are used to identify and rank the sustainable stakeholder engagement strategies for managing conflicts. Then, a mathematical programming model was proposed to select the optimal strategies to maximize stakeholder engagement. The findings indicate that the results of the hybrid SWOT analysis and fuzzy Delphi method and the mathematical programming model are the same and the high ranked strategies obtained by the hybrid SWOT analysis and fuzzy Delphi method are selected in the proposed mathematical programming model as well. Also, each selected strategy can cover more than one conflict and improve stakeholder engagement.

ACS Style

Mohammad Khalilzadeh; Omid Kebriyaii; Raman Rezaei. Identification and selection of stakeholder engagement strategies: case study of an Iranian oil and gas construction project. International Journal of Construction Management 2021, 1 -23.

AMA Style

Mohammad Khalilzadeh, Omid Kebriyaii, Raman Rezaei. Identification and selection of stakeholder engagement strategies: case study of an Iranian oil and gas construction project. International Journal of Construction Management. 2021; ():1-23.

Chicago/Turabian Style

Mohammad Khalilzadeh; Omid Kebriyaii; Raman Rezaei. 2021. "Identification and selection of stakeholder engagement strategies: case study of an Iranian oil and gas construction project." International Journal of Construction Management , no. : 1-23.

Journal article
Published: 22 February 2021 in Procedia Computer Science
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Oil and gas projects are integrated with a huge number of uncertainties due to their unique characteristics, complexities and uncertain environment. The aim of this study is to identify and evaluate the main risks of this type of projects based on the PMBOK guide under sanctions and uncertain conditions. The main risks were identified through document analysis which were finally reduced to 17 risks through expert judgments using fuzzy Delphi method. The experts included 15 people with more than ten years’ practical experience in the oil and gas projects. The results of confirmatory factor analysis confirmed all risks in terms of statistical population. Then, the interrelations between risks and their importance weights were determined by using hybrid fuzzy DEMATEL-ANP technique. The final results showed that political and economic sanctions have the highest weight, followed by the attraction of foreign investors and the lack of regional infrastructure.

ACS Style

Mohammad Khalilzadeh; Hedieh Shakeri; Shakib Zohrehvandi. Risk identification and assessment with the fuzzy DEMATEL-ANP method in oil and gas projects under uncertainty. Procedia Computer Science 2021, 181, 277 -284.

AMA Style

Mohammad Khalilzadeh, Hedieh Shakeri, Shakib Zohrehvandi. Risk identification and assessment with the fuzzy DEMATEL-ANP method in oil and gas projects under uncertainty. Procedia Computer Science. 2021; 181 ():277-284.

Chicago/Turabian Style

Mohammad Khalilzadeh; Hedieh Shakeri; Shakib Zohrehvandi. 2021. "Risk identification and assessment with the fuzzy DEMATEL-ANP method in oil and gas projects under uncertainty." Procedia Computer Science 181, no. : 277-284.

Research article
Published: 19 February 2021 in Advances in Human-Computer Interaction
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This study aims to investigate and identify the factors affecting the empowerment and implementation of knowledge management in organizations as well as the impact of knowledge management on organizational performance. This study also examines the mediating role of human capital in the relationship between knowledge management and performance of Kabul Steel Plant, which is the largest steel plant in Afghanistan. The research model was developed through the literature review. The initial data were collected through a questionnaire containing 48 questions. Participants were 108 managers and administrative staff of the company. The collected data were analyzed by using the SPSS and SmartPLS software. The hypotheses regarding the impact of strategy and technology on knowledge management were rejected by using correlation analysis and t-test statistic. Finally, the findings showed the positive effects of variables of structure, culture, leadership, and trust on knowledge management in an organization. Also, knowledge management influences the organizational performance, both directly and through the mediating variable of human capital. This research encourages the managers and employees of organizations to use the available organizational resources to implement knowledge management in organizations and improve knowledge management practices and human resources that are the most valuable resources of any organization in order to remain competitive in the markets.

ACS Style

Forouzan Rezaei; Mohammad Khalilzadeh; Paria Soleimani. Factors Affecting Knowledge Management and Its Effect on Organizational Performance: Mediating the Role of Human Capital. Advances in Human-Computer Interaction 2021, 2021, 1 -16.

AMA Style

Forouzan Rezaei, Mohammad Khalilzadeh, Paria Soleimani. Factors Affecting Knowledge Management and Its Effect on Organizational Performance: Mediating the Role of Human Capital. Advances in Human-Computer Interaction. 2021; 2021 ():1-16.

Chicago/Turabian Style

Forouzan Rezaei; Mohammad Khalilzadeh; Paria Soleimani. 2021. "Factors Affecting Knowledge Management and Its Effect on Organizational Performance: Mediating the Role of Human Capital." Advances in Human-Computer Interaction 2021, no. : 1-16.

Journal article
Published: 04 August 2020 in Heliyon
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One of the main factors in the success of projects is communications management and proper and timely distribution of information among all internal and external project stakeholders. Despite of emphasizing on the importance of project communications in the literature, there are few studies identifying factors influencing project communications. This research aims to address this shortcoming by identifying and determining sequences and relationships factors affecting project communications and their clustering. The informed communication strategy allows managers to structure the information flow in a better and more controlled manner and to avoid the costs caused by lack of effective and timely communication. The present study is conducted to help clarify the views of the organization's managers and project managers on project communications, and to identify factors affecting it and how they effectively communicate to successfully accomplish the projects. First a number of factors influencing project communications are identified on the basis of previous studies and interviews with experts and project managers working in oil, gas and power plant construction megaprojects in Iran. Then, these factors are analyzed by using the combination of fuzzy DEMATEL and Interpretive Structural Modeling (ISM) techniques. The relationships and sequence between the indicators are determined so that it can be effective in project communications planning and project success through providing an insight for senior managers and project managers.

ACS Style

Hedieh Shakeri; Mohammad Khalilzadeh. Analysis of factors affecting project communications with a hybrid DEMATEL-ISM approach (A case study in Iran). Heliyon 2020, 6, e04430 .

AMA Style

Hedieh Shakeri, Mohammad Khalilzadeh. Analysis of factors affecting project communications with a hybrid DEMATEL-ISM approach (A case study in Iran). Heliyon. 2020; 6 (8):e04430.

Chicago/Turabian Style

Hedieh Shakeri; Mohammad Khalilzadeh. 2020. "Analysis of factors affecting project communications with a hybrid DEMATEL-ISM approach (A case study in Iran)." Heliyon 6, no. 8: e04430.

Original paper
Published: 25 July 2020 in International Journal of Environmental Science and Technology
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The construction industry and the implementation of civil projects are considered to be one of the causes of environmental pollution. Given the impacts and pollution created by the implementation of projects, it is necessary to identify the environmental impacts in order to reduce their effects. The purpose of this paper is to present a discrete time–cost–quality–environmental impacts trade-off problem for the construction industry with multiple execution modes for project activities in order to reduce the environmental impacts of the project implementation. A multi-objective planning model was developed in this problem to address the four objectives of minimizing time, cost, and environmental impacts and maximizing quality of the project implementation. Then, the problem was modeled as a single-objective programming model by converting the objective function to a constraint. The Leopold matrix method was used to evaluate environmental impacts. Finally, part of a rural water supply project was used as a practical example to demonstrate the applicability and efficiency of the model. The results of this study showed that the proposed method to optimize the aforementioned objectives is highly efficient, and planning and decision making in the early stages of a project to choose the method of doing the project activities will result in reducing costs, time, environmental impacts, and enhancing the quality of the project. By calculating the environmental impacts of project activities in each execution mode, project managers and stakeholders can take into account the environment around them, along with pursuing the economic, time, and quality objectives of the project, and minimize the project overall negative environmental impacts as a measurable amount. This research can help project managers choose the most appropriate method to execute their activities so that the project will ultimately be delivered with the least amount of time, cost, and environmental impact, and with the highest quality.

ACS Style

S. A. Banihashemi; Mohammad Khalilzadeh; A. Shahraki; M. Rostami Malkhalifeh; S. S. R. Ahmadizadeh. Optimization of environmental impacts of construction projects: a time–cost–quality trade-off approach. International Journal of Environmental Science and Technology 2020, 18, 631 -646.

AMA Style

S. A. Banihashemi, Mohammad Khalilzadeh, A. Shahraki, M. Rostami Malkhalifeh, S. S. R. Ahmadizadeh. Optimization of environmental impacts of construction projects: a time–cost–quality trade-off approach. International Journal of Environmental Science and Technology. 2020; 18 (3):631-646.

Chicago/Turabian Style

S. A. Banihashemi; Mohammad Khalilzadeh; A. Shahraki; M. Rostami Malkhalifeh; S. S. R. Ahmadizadeh. 2020. "Optimization of environmental impacts of construction projects: a time–cost–quality trade-off approach." International Journal of Environmental Science and Technology 18, no. 3: 631-646.

Journal article
Published: 06 July 2020 in Frontiers of Business Research in China
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Identifying risks and prioritizing is important for payment service provider (PSP) companies to get banking projects and gain more market share. However, studies regarding the identification of risks and causal relationships are insufficient in the Iranian PSP industry and the industry is unique because of its characteristics. In this study, 30 experts involved with PSP companies are employed as the research sample. Eleven key risks and Forty-six sub-risks are also identified. Subsequently, the fuzzy decision-making trial and evaluation laboratory technique is applied to determine the effective and affected risks and the severity of their effects on each other. Finally, all risks are ranked. Due to the internal interrelationships of the main risks, the weight of each risk is calculated via the fuzzy analytic network process. As the second-level risks have no significant interrelationships, they are ranked via the fuzzy analytical hierarchy process. Moreover, the best-worst method is used to ensure that the obtained rankings are reliable. This study identifies the risks affecting the loss of banking projects and determines the impacts of these risks on each. A sensitivity analysis is then conducted on the weights of the criteria, and the results are compared.

ACS Style

Mohammad Khalilzadeh; Laleh Katoueizadeh; Edmundas Kazimieras Zavadskas. Risk identification and prioritization in banking projects of payment service provider companies: an empirical study. Frontiers of Business Research in China 2020, 14, 1 -27.

AMA Style

Mohammad Khalilzadeh, Laleh Katoueizadeh, Edmundas Kazimieras Zavadskas. Risk identification and prioritization in banking projects of payment service provider companies: an empirical study. Frontiers of Business Research in China. 2020; 14 (1):1-27.

Chicago/Turabian Style

Mohammad Khalilzadeh; Laleh Katoueizadeh; Edmundas Kazimieras Zavadskas. 2020. "Risk identification and prioritization in banking projects of payment service provider companies: an empirical study." Frontiers of Business Research in China 14, no. 1: 1-27.

Earlycite article
Published: 06 June 2020 in Journal of Enterprise Information Management
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Purpose Risk assessment is a very important step toward managing risks in various organizations and industries. One of the most extensively applied risk assessment techniques is failure mode and effects analysis (FMEA). In this paper, a novel fuzzy multiple-criteria decision-making (MCDM)-based FMEA model is proposed for assessing the risks of different failure modes more accurately. Design/methodology/approach In this model, the weight of each failure mode is considered instead of risk priority number (RPN). Additionally, three criteria of time, cost and profit are added to the three previous risk factors of occurrence (O), severity (S) and detection (D). Furthermore, the weights of the mentioned criteria and the priority weights of the decision-makers calculated by modified fuzzy AHP and fuzzy weighted MULTIMOORA methods, respectively, are considered in the proposed model. A new ranking method of fuzzy numbers is also utilized in both proposed fuzzy MCDM methods. Findings To show the capability and usefulness of the suggested fuzzy MCDM-based FMEA model, Kerman Steel Industries Factory is considered as a case study. Moreover, a sensitivity analysis is conducted for validating the achieved results. Findings indicate that the proposed model is a beneficial and applicable tool for risk assessment. Originality/value To the best of authors’ knowledge, no research has considered the weights of failure modes, the weights of risk factors and the priority weights of decision-makers simultaneously in the FMEA method.

ACS Style

Reza Fattahi; Reza Tavakkoli-Moghaddam; Mohammad Khalilzadeh; Nasser Shahsavari-Pour; Roya Soltani. A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment. Journal of Enterprise Information Management 2020, 33, 881 -904.

AMA Style

Reza Fattahi, Reza Tavakkoli-Moghaddam, Mohammad Khalilzadeh, Nasser Shahsavari-Pour, Roya Soltani. A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment. Journal of Enterprise Information Management. 2020; 33 (5):881-904.

Chicago/Turabian Style

Reza Fattahi; Reza Tavakkoli-Moghaddam; Mohammad Khalilzadeh; Nasser Shahsavari-Pour; Roya Soltani. 2020. "A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment." Journal of Enterprise Information Management 33, no. 5: 881-904.

Journal article
Published: 24 May 2020 in Automation in Construction
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The swiftly growing wind farm projects together with the increasing uncertainty of these types of construction projects makes it more probable that projects will face delay. This research aims to introduce a heuristic algorithm to determine the sizes of project buffer and feeding buffers as well as dynamically control buffer consumption, named as Fuzzy Overlapping Buffer Management Algorithm (FOBMA). In this paper, the pentagonal fuzzy numbers were used to determine the appropriate amount of project activity resources. Also, an overlapping method was applied to obtain more realist activity durations. The FOBMA algorithm was compared to other algorithms using the data of 15 real-world wind farm projects as well as 15 randomly generated numerical examples. Moreover, the sensitivity analysis was conducted to validate the performance of the proposed algorithm. The findings demonstrate that the proposed FOBMA algorithm outperforms the other algorithms and yielded more realistic and shorter project duration.

ACS Style

Shakib Zohrehvandi; Mohammad Khalilzadeh; Maghsoud Amiri; Shahram Shadrokh. A heuristic buffer sizing algorithm for implementing a renewable energy project. Automation in Construction 2020, 117, 103267 .

AMA Style

Shakib Zohrehvandi, Mohammad Khalilzadeh, Maghsoud Amiri, Shahram Shadrokh. A heuristic buffer sizing algorithm for implementing a renewable energy project. Automation in Construction. 2020; 117 ():103267.

Chicago/Turabian Style

Shakib Zohrehvandi; Mohammad Khalilzadeh; Maghsoud Amiri; Shahram Shadrokh. 2020. "A heuristic buffer sizing algorithm for implementing a renewable energy project." Automation in Construction 117, no. : 103267.

Journal article
Published: 23 October 2019 in Journal of Advances in Management Research
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Purpose Identifying and prioritizing the risks are considered as critical issues in risk management; otherwise, non-considering the risks will lead to the problems such as delays in project implementation, increased costs, loss of reputation, loss of clients, reduced revenue and liquidity and even bankruptcy. The paper aims to discuss these issues. Design/methodology/approach In this paper, the factors influencing the organization risk tolerance level were identified. Then, the factors increasing and decreasing the risk tolerance level were determined by a decision-making model. Finally, a comprehensive model was considered for risk measuring and preparing a risk failure structure chart, in order to determine the factors influencing it as well as the measurement criteria and then they were ranked using the taxonomy method. In this study, the size of the statistical population was 130 (six small and medium manufacturer and service provider companies). Based on Cochran’s sample size formula, 97 questionnaires containing 30 questions were randomly distributed among the population. Validity and reliability of the questionnaire were confirmed. The data were analyzed by SPSS 22. Findings Given the hypotheses of this study, the first hypothesis was rejected and the other hypotheses were accepted. The final ranking was done using the taxonomy method; the personality of the project manager was ranked at first; income, credit and capital were ranked second and the number of personnel was ranked third. Moreover, the TOPSIS method was used for ranking to compare the results. Originality/value In this research, the identification and ranking of these factors have taken place in several small- and medium-sized organizations; in addition, the rankings are conducted using the taxonomy decision-making method.

ACS Style

Mohammad Khalilzadeh; Shiba Masoumi; Isa Masoumi. Identification and prioritization of factors influencing organization risk tolerance level. Journal of Advances in Management Research 2019, 16, 417 -435.

AMA Style

Mohammad Khalilzadeh, Shiba Masoumi, Isa Masoumi. Identification and prioritization of factors influencing organization risk tolerance level. Journal of Advances in Management Research. 2019; 16 (4):417-435.

Chicago/Turabian Style

Mohammad Khalilzadeh; Shiba Masoumi; Isa Masoumi. 2019. "Identification and prioritization of factors influencing organization risk tolerance level." Journal of Advances in Management Research 16, no. 4: 417-435.

Journal article
Published: 10 May 2019 in Engineering, Construction and Architectural Management
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Purpose The purpose of this paper is to present an efficient model for project buffer sizing by taking failure mode and effects analysis (FMEA) into account to reach a more realistic schedule. Design/methodology/approach In the first phase of the project, several turbines were installed according to the primary schedule with an average duration of 142 days. Then, some of critical chain project management algorithms were separately applied in the implementation and installation of the other wind turbines. The adaptive procedure with resource tightness (APRT) method turned out to be the best method in terms of obtaining a more realistic schedule in this case study. Finally, FMEA was simultaneously applied with APRT. Findings Applying the hybrid method to the scheduling of the wind turbines, yielded the more realistic schedule than traditional. Research limitations/implications The proposed hybrid APRT-FMEA algorithm was implemented on a real wind farm construction project which was completed with 37 percent shorter duration than the initial estimation; in spite of the initial estimation of 142 days, the project completed in 103 days. Practical implications Introducing and implementing a new algorithm which is a combination of buffer sizing algorithms and one of the well-known and mostly used risk assessment methods in order to provide the more realistic project schedule in the construction of wind turbines. Originality/value Introducing and implementing a novel algorithm which is a combination of conventional buffer sizing method and one of the efficient risk assessment methods in order to make the schedule more realistic.

ACS Style

Shakib Zohrehvandi; Mohammad Khalilzadeh. APRT-FMEA buffer sizing method in scheduling of a wind farm construction project. Engineering, Construction and Architectural Management 2019, 26, 1129 -1150.

AMA Style

Shakib Zohrehvandi, Mohammad Khalilzadeh. APRT-FMEA buffer sizing method in scheduling of a wind farm construction project. Engineering, Construction and Architectural Management. 2019; 26 (6):1129-1150.

Chicago/Turabian Style

Shakib Zohrehvandi; Mohammad Khalilzadeh. 2019. "APRT-FMEA buffer sizing method in scheduling of a wind farm construction project." Engineering, Construction and Architectural Management 26, no. 6: 1129-1150.

Journal article
Published: 15 May 2017 in Journal of Industrial Engineering and Management
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Purpose: Nowadays, governments and people pay more attention to use green products due to environmental pollution, irreplaceable energy and shortage of resources. Green products are resulted from the application of green supply chain management strategies to the organizations' performance strategies, so that we can reduce environmental pollutants and wastes and take a step towards saving energy with limited resources.Methodology: In this paper, the effect of reducing energy consumption in green supply chain is examined by using queuing theory and transportation models. Data was generated and solved by a commercial optimization epackage.Findings: The findings indicate that suitable assignment of existing transportation fleet with specified capacity, and using queueing theory in a closed-loop network to reduce the queue length and handle congestion, can cause a reduction in energy consumption by optimizing transportation and waiting times in a green supply chain.Originality/value: Adopting investment strategy in improving the environmental performance of the supply chain, will yield in many advantages and benefits. This article investigates the effect of queuing theory on reducing waiting time, optimizing energy consumption in green supply chain, and consequently decreasing pollution.

ACS Style

Arvin Aziziankohan; Fariborz Jolai; Mohammad Khalilzadeh; Roya Soltani; Reza Tavakkoli-Moghaddam. Green supply chain management using the queuing theory to handle congestion and reduce energy consumption and emissions from supply chain transportation fleet. Journal of Industrial Engineering and Management 2017, 10, 213 .

AMA Style

Arvin Aziziankohan, Fariborz Jolai, Mohammad Khalilzadeh, Roya Soltani, Reza Tavakkoli-Moghaddam. Green supply chain management using the queuing theory to handle congestion and reduce energy consumption and emissions from supply chain transportation fleet. Journal of Industrial Engineering and Management. 2017; 10 (2):213.

Chicago/Turabian Style

Arvin Aziziankohan; Fariborz Jolai; Mohammad Khalilzadeh; Roya Soltani; Reza Tavakkoli-Moghaddam. 2017. "Green supply chain management using the queuing theory to handle congestion and reduce energy consumption and emissions from supply chain transportation fleet." Journal of Industrial Engineering and Management 10, no. 2: 213.