Hasan hosseini nasab | Yazd University (original) (raw)

Papers by Hasan hosseini nasab

International Journal of Industrial Engineering and Production Research, 2011

In this research, a new control policy for the acceptance sampling problem is introduced. Decisio... more In this research, a new control policy for the acceptance sampling problem is introduced. Decision is made based on the number of defectives items in an inspected batch. The objective of the model is to find a constant control level that minimizes the total costs, including the cost of rejecting the batch, the cost of inspection and the cost of defective items. The optimization is performed by approximating the negative binomial distribution with Poisson distribution and using the properties of binomial distribution. A solution method along with numerical demonstration on the application of the proposed methodology is presented. Furthermore, the results of sensitivity analysis show that the proposed method needs a large sample size .

Communications in Statistics-theory and Methods, 2020

This paper integrates maintenance and product quality for a manufacturing system with three failu... more This paper integrates maintenance and product quality for a manufacturing system with three failure modes. The system is monitored and can be alerted by a prediction signal before any failure mode....

Operations research is a commonly used method in many subjects nowadays. One applicable domain of... more Operations research is a commonly used method in many subjects nowadays. One applicable domain of operation research is the problem of facility layout and location. In this paper, a new mathematical programing model is developed for an optimal facility location and assignment. The model includes two objective functions. The first one minimizes the total material handling and fixed costs of facility location. Because of the importance of energy and the main role of fossil fuel in transportation, the second objective function, minimizes the total cost of fuel consumption. To consider the real condition in the proposed model, the cost of fuel, is considered to increase stepwise gradually. In the proposed model the coefficients of objective function are considered to be probabilistic and some of constraints to be fuzzy variables. Using a new approach, this model can be changed to a robust model. To prove the applicability of the model, it is examined for a real condition of facility location.

Journal of Industrial and Systems Engineering, 2018

In humanitarian relief operations (HRO), due to the excessive number of relief organizations, mul... more In humanitarian relief operations (HRO), due to the excessive number of relief organizations, multiple organizational coordination is a demanding and complicated task. Considering such a problem, this paper proposes a two-phase mechanism to coordinate multiple heterogeneous relief organizations in a decentralized HRO logistics network. To address such a problem, first a bi-level mixed integer linear model under the demand and supply uncertainties is developed, and then a capacity sharing-based-coordination mechanism is proposed. To solve the model for large-scale instances in an acceptable computation time, a fuzzy Kth-Best algorithm is developed. Finally, to validate the proposed mathematical model, we compare it to a centralized relief logistics model considering a computational experiment on the earthquake in Tehran, Iran. Results show that the proposed coordinated model reduced the amount of shortage and wastage in Tehran compared to the traditional centralized model employed p...

RAIRO - Operations Research, 2021

Many risk factors are dependent on each other and taking this into account can be helpful in mana... more Many risk factors are dependent on each other and taking this into account can be helpful in managing appropriate decisions. The poor evaluation of these factors will impose high costs in many real applications especially for a supply chain. There are different methods for risk evaluating and their effects for ranking them. For instant, in fuzzy DEMATEL method, the experts’ linguistic opinions and preferences on the agent effects are used as the input. The important point is how these opinions are aggregated to produce less computational error. In this regard, this paper proposes a new method based on statistical inferences for a fuzzy DEMATEL approach for evaluating the factors of a supply chain. This method was applied to a case study and the results showed that the proposed method was better than other methods for integrating the experts’ opinions in a supply chain. However, this method was proposed for the evaluation of supply chain factors, it can be applied to other systems as...

2019 15th Iran International Industrial Engineering Conference (IIIEC), 2019

Service oriented architecture is a novel paradigm for developing software based on composition of... more Service oriented architecture is a novel paradigm for developing software based on composition of components or services. This innovation in the context of software engineering facilitates reusability of services according to loosely coupled relations. Meanwhile, BPEL standard accelerates composition of services. Although many efforts have been made to prove functional correctness of composed services through formal verification techniques, prediction of non-functional properties such as performance, reliability, and availability received less attention. Since BPEL service is similar to a workflow, it has been modeled with Stochastic Petri Net. We have extended SPN to fit our purpose. In this paper, we have presented an analytical modeling approach based on SPN where it uses a sequence of matrix calculations in a statistical space. The calculations are according to exponential distribution for transitions and Poisson distribution for arcs. Simulation results have validated the model...

Industrial plants are subjected to very dangerous events. Therefore, it is very essential to carr... more Industrial plants are subjected to very dangerous events. Therefore, it is very essential to carry out an efficient risk and safety analysis. In classical applications, risk analysis treats event probabilities as certain data, while there is much penurious knowledge and uncertainty in generic failure data that will lead to biased and inconsistent alternative estimates. Then, in order to achieve a better fitting with systems condition, uncertainty needs to be considered. One of the most usual analytical methods that have been widely applied in the field of risk analysis is the technic of failure mode and effects analysis (FMEA). The usage of this method is in identifying and abolishing the multiple failure modes in various phases of system, from the product design to production of the industries system operation. To solve the shortcomings in the traditional FMEA method, we propose an innovative approach consisted of Dempster Shafer evidence theory (DST) and FMEA to provide a more eff...

The Quantitative Strategic Planning Matrix (QSPM) is a useful tool to prioritize strategies at an... more The Quantitative Strategic Planning Matrix (QSPM) is a useful tool to prioritize strategies at any level including corporate, business and functional. The ratings and attractive scores used in QSPM, however, require judgmental decisions and should be based on expert’s opinion to ensure the applicability of chosen strategies. A fuzzy multicriteria decision making method is proposed in this paper with the goal of improving the output of conventional QSPM by allowing the experts to employ linguistic terms (qualitative data) in their judgments. A TOPSIS MCDM (Technique for Order Preference by Similarity to Ideal Solution and Multi criteria Decision Making ) index is also adapted to the fuzzy QSPM in finding the sum total attractive scores (TAS) of strategies. As a case study, the proposed method has been applied for strategy prioritization in a Tile Company. The results have been verified with expert knowledge and showed an improvement compared to the non-fuzzy QSPM.

For reducing risk effects in a supply chain, the appropriate risk assessment and ranking by the u... more For reducing risk effects in a supply chain, the appropriate risk assessment and ranking by the use of multi-criteria decision-making methods (MCDM) is important. Failure to properly assess and rank the risks makes the supply chain less efficient and competitive. Given the existence of both qualitative and quantitative criteria in a supply chain, the use of verbal preferences, given by authorities for determining the priority of qualitative factors, has higher reliability than that of the Crisp numbers. Fuzzy concept plays an important role in solving the problem of complexity of assigning quantitative fixed numbers to the values of verbal preferences. In the proposed method of this study, a comparison was made among the decision-making methods in the fuzzy environment for selecting a suitable method. To validate the proposed method, we compared it to some case studies from the literature. The results show that the proposed method has high validity and reliability in assessing the r...

Developing the infrastructures for preventing non-communicable diseases is one of the most import... more Developing the infrastructures for preventing non-communicable diseases is one of the most important goals of healthcare context in recent years. In this regard, the number and capacity of preventive healthcare facilities as well as assignment of customers to facilities should be determined for each region. Besides the accessibility, the utility of customers is a determinative factor in participation of people in the offered programs. In this paper, a service network design problem is studied such that the utility function is incorporated in the objective function, and the constraints set. The travel distance is deterministic and demand elasticity results in congestion delays. After simplifying the nonlinear model, a bi-level optimization algorithm is proposed to obtain the optimal solution. Computational results assure the efficiency of the developed algorithm. Finally, the capability of the model is represented by discussing a case study of locating preventive healthcare facilitie...

Journal of Ambient Intelligence and Humanized Computing

Risks play an important role in supply chain vulnerability, performance maintenance, and competit... more Risks play an important role in supply chain vulnerability, performance maintenance, and competitive advantage. Through adopting strategies by the exclusive supplier, the potential risks in the supply chain become actual. The risk interdependencies are not involved in the effectiveness of selecting the appropriate strategy. Since a risk may be influenced by another risk in a desirable or undesirable way, estimation of the real risk value is necessary. In this paper, first, the real weight of the actual risks for each strategy is specified through a new approach. Then, considering risk interdependency effects, the amount of increase or decrease in a risk value is determined by proposing an improved DEMATEL method. The real value of each risk is a combination of factors such as real weight, actual value, and sensitivity to other risk effects. Finally, the value of objective functions for each strategy is determined and all strategies will be re-ranked by the proposed approach (three-dimensional integrated mean method). However, the proposed method is used for ranking of Exclusive Supplier Strategies or decision in this paper, but it can be used for many decision-making procedures.

Production & Manufacturing Research

The minimum covering circle problem is widely utilized in the studies of single or multiple facil... more The minimum covering circle problem is widely utilized in the studies of single or multiple facility location problems. It may be employed to locate the essential locations of factories, schools, fire departments, hospital establishments, and other facilities, which could be considered as a point in a plane theoretically. In this paper, a new geometrical algorithm is presented which determines the minimum covering circle of all points on a plane in four steps. The model validity was considered by studying the coordinates of points with random numbers and different distributions. In order to show the accuracy of the proposed algorithm, numerical experiments were carried out and compared with other studies in the field. The results show that the proposed algorithm extremely outperforms other examined algorithms.

Applied Soft Computing

Abstract Production distribution network (PDN) planning problems in multi echelon status are comm... more Abstract Production distribution network (PDN) planning problems in multi echelon status are commonly complex with dynamic relationships that cause several uncertainties in different parameters of the network. In this paper, we formulate a multi echelon PDN to deliver products to customers with uncertain demand in the least time with uncertain delivery lead time. The proposed network is including multi supplier, producer, potential depot, retailer and inland and outland customer in multi time period horizon. A stochastic multi objective model with maximizing total profit of the system and minimizing total delivery lead time is designed. We apply chance constraints approach to cover the uncertainty of the model and introduce two heuristic methods named selective firefly algorithm (SFA) and ranking genetic algorithm (RGA) in order to solve several sized especially real world instances. Finally, the performance of two proposed algorithms is examined with solving several sized instances. The results indicate average improvement 6.12% and 8.93% with applying SFA and RGA, respectively.

International Journal of Hydrogen Energy, 2016

Abstract Geothermal energy is a form of renewable energy which, unlike other sources of this kind... more Abstract Geothermal energy is a form of renewable energy which, unlike other sources of this kind, is always available and can be used continuously without interruption. Furthermore, the environmental pollution caused by its exploitation is far less than that created by conventional fossil fuels. Meanwhile, hydrogen has an extensive application in production of petroleum and petrochemical products and is therefore an important element of Iran's oil and gas reliant industry and economy. This paper studied the potential of different provinces of Iran for producing hydrogen by a water electrolyzer using the electricity generated from a geothermal source. This objective was pursued by using the data envelopment analysis (DEA) method to rank and prioritize the provinces, which were modeled as decision-making units. Validity of the results obtained through this analysis was assessed by comparing them with results of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR). VIKOR appeared in the year 1990 from Serbian language: Vise Kriterijumska Optimizacija I Kompromisno Resenje that means: Multicriteria Optimization and Compromise Solution. In this DEA model, the decision criteria were 13 measurable parameters, of which 5 were considered as input variables and 8 as output variables, and as mentioned above its decision-making units were the 14 Iranian provinces. The results showed that East-Azerbaijan, Bushehr and Hormozgan have the highest priority and Kerman and Sistan-Baluchistan have the lowest priority for hydrogen production via geothermal power assisted water electrolysis.

ISRN Industrial Engineering, 2013

In today’s competitive environment, organizations are seeking to improve their position in the ma... more In today’s competitive environment, organizations are seeking to improve their position in the market. Lean manufacturing is an effective tool for elevating the competitiveness of organizations based on the fact that each can find its own way of improvement. Technology improvement is considered to be one of lean manufacturing’s dimensions. Technology is defined as the usage and knowledge of tools, techniques, crafts, systems, or methods of organization, with the aim of solving a problem or creating an artistic perspective. A dynamic model could be appropriate for analyzing the interrelated behavior of technology and lean manufacturing. Despite the fact that there are plenty of papers and case studies on the applications of Lean manufacturing in organizations, only a few are focused on the dynamic aspects of the system. In this paper, a dynamic model is presented in which Lean manufacturing is linked with technology by causal relationships. The notable advantage of the presented mode...

The South African Journal of Industrial Engineering, 2012

Value engineering (VE) has been effectively applied in many different areas. The results have bee... more Value engineering (VE) has been effectively applied in many different areas. The results have been very encouraging, and many companies accept VE not only as a tool to reduce costs, but also to improve the quality of their produce and streamline their systems. This paper attempts to highlight the application of VE in agriculture, as in pistachio tree farms in Iran. It is found that by implementing VE, unnecessary cultivation costs are lowered. Many of the other factors that lead to the inefficient use of resources could be resolved. In this study, the province of Yazd Iran was studied. Unfortunately there are cases of mismanagement and problems in agriculture management; and the problems must be resolved to make the system of pistachio growing more efficient. The prime objective of this paper is to introduce the concept of value engineering and highlight its application in pistachio farms. The results suggest that it is essential to use Indian Neem pesticide, because it is economically feasible and environmentally friendly to pistachio trees.

Scientia Iranica, 2012

A sampling plan is a statement of criteria of acceptance applied to a batch, based on appropriate... more A sampling plan is a statement of criteria of acceptance applied to a batch, based on appropriate examination of a required number of sample units by specific methods. In this paper, a new acceptance sampling plan is introduced in which it is assumed that every defective item cannot be detected with complete certainty. To model the problem, the probability distribution function of the number of defective items in the batch is determined through Bayesian inference, and based on this probability density function, the probability of correct decisions in different actions is evaluated. An objective function is defined for each decision that minimizes the ratio of the system cost to the system correct decision probability, including the cost of rejecting the batch, and the cost of defectives items remaining in an accepted batch. Three numerical examples are provided to illustrate the applications of the proposed models.