Showing 34 results for Amid
Mosata Setak, Shabnam Izadi, Hamid Tikani,
Volume 28, Issue 4 (IJIEPR 2017)
Abstract
Logistics planning in disaster response phase involves dispatching commodities such as medical materials, personnel, food, etc. to affected areas as soon as possible to accelerate the relief operations. Since transportation vehicles in disaster situations can be considered as scarce resources, thus, the efficient usage of them is substantially important. In this study, we provide a dynamic vehicle routing model for emergency logistics operations in the occurrence of natural disasters. The aim of the model is to find optimal routes for a fleet of vehicles to give emergency commodities to a set of affected areas by considering the existence of more than one arc between each two nodes in the network (multi-graph network). Proposed model considers FIFO property and focused on minimization of waiting time and total number of vehicles. Various problem instances have been provided to indicate the efficiency of the model. Finally, a brief sensitivity analysis is presented to investigate the impact of different parameters on the obtained solutions.
Mojtaba Hamid, Mahdi Hamid, Mohammad Mahdi Nasiri, Mahdi Ebrahimnia,
Volume 29, Issue 2 (IJIEPR 2018)
Abstract
Surgical theater is one of the most expensive hospital sources that a high percentage of hospital admissions are related to it. Therefore, efficient planning and scheduling of the operating rooms (ORs) is necessary to improve the efficiency of any healthcare system. Therefore, in this paper, the weekly OR planning and scheduling problem is addressed to minimize the waiting time of elective patients, overutilization and underutilization costs of ORs and the total completion time of surgeries. We take into account the available hours of ORs and the surgeons, legal constraints and job qualification of surgeons, and priority of patients in the model. A real-life example is provided to demonstrate the effectiveness and applicability of the model and is solved using ε-constraint method in GAMS software. Then, data envelopment analysis (DEA) is employed to obtain the best solution among the Pareto solutions obtained by ε-constraint method. Finally, the best Pareto solution is compared to the schedule used in the hospitals. The results indicate the best Pareto solution outperforms the schedule offered by the OR director.
Arezoo Jahani, Parastoo Mohammadi, Hamid Mashreghi,
Volume 29, Issue 2 (IJIEPR 2018)
Abstract
Innovation & Prosperity Fund (IPfund) in Iran as a governmental organization aims to develop new technology-based firms (NTBF) by its available resources through financing these firms. The innovative projects which refer to IPfund for financing are in a stage which can receive both fixed rate facilities and partnership in the projects, i.e. profit loss sharing (PLS). Since this fund must protect its initial and real value of its capital against inflation rate, therefore, this study aims to examine the suitable financing methods with considering risk. For this purpose we study on risk assessment models to see how to use risk adjusted net present value for knowledge based projects. On this basis, the NPV of a project has been analyzed by taking into account the risk variables (sales revenue and the cost of fixed investment) and using Monte Carlo simulation. The results indicate that in most cases for a project, the risk adjusted NPV in partnership scenario is more than the other scenario. In addition to, partnership in projects which demand for industrial production facilities is preferable for the IPfund than projects calling for working capital.
Mohammad Mehdi Dehdar, Mustafa Jahangoshai Rezaee, Marzieh Zarinbal, Hamidreza Izadbakhsh,
Volume 29, Issue 4 (IJIEPR 2018)
Abstract
Human-based quality control reduces the accuracy of this process. Also, the speed of decision making in some industries is very important. For removing these limitations in human-based quality control, in this paper, the design of an expert system for automatic and intelligent quality control is investigated. In fact, using an intelligent system, the accuracy in quality control is increased. It requires the knowledge of experts in quality control and design of expert systems based on the knowledge and information provided by human and equipment. For this purpose, Fuzzy Inference System (FIS) and Image Processing approach are integrated. In this expert system, the input information is the images of the products and the results of processing on images for quality control are as output. At first, they may be noisy images; the pre-processing is done and then a fuzzy system is used to be processed. In this fuzzy system, according to the images, the rules are designed to extract the specific features that are required. At second, after the required attributes are extracted, the control chart is used in terms of quality. Furthermore, the empirical case study of copper rods industry is presented to show the abilities of the proposed approach.
Hamiden Abdelwahed Khalifa,
Volume 29, Issue 4 (IJIEPR 2018)
Abstract
This paper deals with multi- objective nonlinear programming problem having rough intervals in the constraints. The problem is approached by taking maximum value range and minimum value range inequalities as constraints conditions, reduces it into two classical multi-objective nonlinear programming problems, called lower and upper approximation problems. All of the lower and upper approximation problems may be solved using the weighting method, where an optimal rough interval solution is obtained. The stability set of the first kind corresponding to the optimal rough interval solution is determined. An illustrative numerical example is given to clarify the obtained results.
Hamiden Abd Elwahed Khalifa, El- Saed Ebrahim Ammar,
Volume 30, Issue 1 (IJIEPR 2019)
Abstract
Fully fuzzy linear programming is applied to water resources management due to its close connection with human life, which is considered to be of great importance. This paper investigates the decision-making concerning water resources management under uncertainty based on two-stage stochastic fuzzy linear programming. A solution method for solving the problem with fuzziness in relations is suggested to prove its applicability. The purpose of the method is to generate a set of solutions for water resources planning that helps the decision-maker make a tradeoff between economic efficiency and risk violation of the constraints. Finally, a numerical example is given and is approached by the proposed method.
Sahebe Esfandiari, Hamid Mashreghi, Saeed Emami,
Volume 30, Issue 2 (IJIEPR 2019)
Abstract
We study the problem of order acceptance, scheduling and pricing (OASP) in parallel machine environment. Each order is characterized by due date, release date, deadline, controllable processing time, sequence dependent set up time and price in MTO system. We present a MILP formulation to maximize the net profit. Then under joint optimization approach, the pricing decisions set for unrelated parallel machine environment. The results show that the basic developed problem can solve the scheduling decisions based on different levels of products’ priced. Thus the problem solves these two categories of decisions simultaneously. Moreover, the changes of accepted orders in pricing levels can be analyzed regarding its dependency to price elasticity of items for future research.
Hanieh Adabi, Hamid Mashreghi,
Volume 30, Issue 4 (IJIEPR 2019)
Abstract
In this research, we analyze a supply chain involving two competing manufacturers that sells their product through two common competing retailers. The manufacturers’ products are the same but with different brand in market. The retailers face stochastic demand where demand is a decreasing function of price with additive uncertain part. Manufacturers compete on supplying orders where retailers compete on selling price. Each manufacturer set wholesale price contract with retailers similarly. We examine supply chain coordination with wholesale price contract under competition and demand uncertainty. The analytical results show that under coordination condition, manufacturers do not obtain any positive profit and consequently the retailers intend to increase wholesale prices. On the other hand, manufacturers can increase wholesale prices until the retailers’ profit becomes zero. Hence, with a numerical study for actual cases, it is found that changing demand sensitivity and competition intensity affect the optimal decisions of ordering and pricing. Moreover, increasing in competition sensitivity, increase the supply chains’ efficiency, stocking level and selling price. The concluding remarks show that further investigation is required for possibility of coordination under competition by other contractual mechanisms.
Hamiden Khalifa, E. E. Ammar,
Volume 31, Issue 1 (IJIEPR 2020)
Abstract
This paper deals with a multi- objective linear fractional programming problem involving probabilistic parameters in the right- hand side of the constraints. These probabilistic parameters are randomly distributed with known means and variances through the use of Uniform and Exponential Distributions. After converting the probabilistic problem into an equivalent deterministic problem, a fuzzy programming approach is applied by defining a membership function. A linear membership function is being used for obtaining an optimal compromise solution. The stability set of the first kind without differentiability corresponding to the obtained optimal compromise solution is determined. A solution procedure for obtaining an optimal compromise solution and the stability set of the first kind is presented. Finally, a numerical example is given to clarify the practically and the efficiency of the study.
Hamiden Khalifa,
Volume 31, Issue 2 (IJIEPR 2020)
Abstract
This paper aims to study multi- objective assignment (NMOAS) problem with imprecise costs instead of its prices information. The NMOAS problem is considered by incorporating single valued trapezoidal neutrosophic numbers in the elements of cost matrices. After converting the NMOAS problem into the corresponding crisp multiobjective assignment (MOAS) problem based on the score function, an approach to find the most preferred neutrosophic solution is discussed. The approach is used through a weighting Tchebycheff problem which is applied by defining relative weights and ideal targets. The advantage of this approach is more flexible than the standard multi- objective assignment problem, where it allows the decision maker (DM) to choose the targets he is willing. Finally, a numerical example is given to illustrate the utility, effectiveness and applicability of the approach.
Hasan Hosseini-Nasab, Hamid Hasanzadeh,
Volume 31, Issue 2 (IJIEPR 2020)
Abstract
The number of natural disasters and people affected by them has been increasing in recent years. The field of optimization is a significant element of a relief operation and has been extensively studied so far, especially during the last two decades. The design of a relief logistic network as a strategic decision and the relief distribution as an operational decision are the most important activities for disaster operation management before and after a disaster occurs. In the proposed mathematical model, pre-disaster decisions are determined according to the post-disaster decisions in a multi-stage stochastic problem. Then a well-known approach called branch and fixed coordination are applied to optimize the proposed model. The computational results confirm that the proposed approach has proper performance for disaster management in a multi-stage stochastic problem.
O Sri Nagesh, Vankamamidi S Naresh,
Volume 31, Issue 2 (IJIEPR 2020)
Abstract
Cryptography is a well-known and well-researched topic for ages. Cryptography is the first line of defense for any networked system. By using Symmetric as well as Asymmetric Cryptography a lot of algorithms are developed. From the security point of view, Asymmetric Cryptography is more popular as security has been enhanced. RSA, DSA, ECS, DES, ECC and other algorithms have been developed for realizing Asymmetric Cryptosystem. These algorithms are primarily used for secure and reliable communication. These algorithms play a vital role in secure communication. Elliptic Curve Cryptography (ECC) provides similar security having less key size among them. In the present paper, an improved MOD-ECDH has been proposed and the proposed algorithm has been compared with other various popular algorithms like ECDH, RSA, ECS has been demonstrated. A detail both empirical and simulation study of the algorithm of ECDH and MOD-ECDH has been depicted. From result analysis, it is evident that the proposed algorithm outperforms the other algorithms in point of processing time and key size.
Vankamamidi S Naresh, O Sri Nagesh, S Sivaranjanireddi,
Volume 31, Issue 2 (IJIEPR 2020)
Abstract
Cognitive based (Chatbot) blood bank provides the communication platform among the stakeholders of blood bank. In the past the blood recipient will have to contact the blood bank and the blood donors individually, which is a time consuming process. To address this issue in this paper we propose a Secure Dynamic Interactive Blood Bank based on Cognitive Computing which can fulfill the blood request of the needy with less hardship. Hence the proposed work aims to overcome this problem by requesting the recipient to simply send a message to a chatbot. The motivated individuals who are willing to donate blood can register their name by interacting with the chatbot. If the requested blood group is available at the blood bank / registered donor then the recipient will get contact details of the blood bank / registered donors available at that instant. Donor data will be maintained in Cloud database. The proposed system is a cognitive chatbot, which acts as a communication platform among the stakeholders such as blood bank, blood donor and the needy. This system is built using cognitive technology of Google; it makes conversations using chatbots very similar to human conversations, thereby making the proposed system more efficient compared to the existing ones.
Sajjad Aslani Khiavi, Hamid Khaloozadeh, Fahimeh Soltanian,
Volume 32, Issue 1 (IJIEPR 2021)
Abstract
In this paper, discrete time dynamic model for four-level supply chain system, including factory, wholesaler, retailer, and customer is designed with a recovery center as recycling hybrid channels. Due to the lack of coordination of the chain level and the unhealthy exchange of information in the system, almost all supply chains dynamic involving the stochastic noise. For the first time, in this paper, we proved that stochastic noise lead to the bullwhip effect and we mitigated this phenomenon with control theory. Also, we investigate the effects of the lead time, the various forecasting methods, and aggressive ordering on the bullwhip effect. In order to mitigate the bullwhip effect, we propose Kalman filter method. So, using linear quadratic Gaussian controller, not only effect of bullwhip was adjusted but, also the system become stable. Eventually, the simulation results in Meshkin match factory, indicate the efficiency of the proposed method.
Abdelsalam Hamid,
Volume 32, Issue 1 (IJIEPR 2021)
Abstract
Based on RBV Theory The study investigated the effect of Supply Chain integration (SCI) on medical sector Operational Performance (OP). the data were collected from 307 managers out of 330 managers, by questionnaire, which adopted from previous studies and refined through experts’ interviews and the panel of judge. Statistical techniques such as descriptive statistics, correlation, and SEM were employed. The results of the study indicated a positive significant relationship between SCI and medical sector OP. The results also indicated that the managers in Medical Sector were almost similar in their preference of the customer integration and internal integration indicators. Furthermore, empirical results indicated that the interactions between the two components of SCI effect strongly on and OP. Results indicated that the internal integration was having the highest effect on OP, followed by customer.
The study shows Theoretical and Practical implications. Theoretically the SCI require higher level of internal integration. Thus, for an institution to support the participation of partners it must create a suitable internal integration. Practically the full collaboration of participation and they integrate the firm internally and externally that should lead to high performance. Moreover, the study provided a suggestion for future research.
Key Words: Supply Chain Integration (SCI), Internal Integration (II), Customer Integration (CI), Operational Performance (OP), (Medical Sector).
Shima Khalilinezhad, Hamed Fazlollahtabar, Behrouz Minaei-Bidgoli, Hamid Eslami Nosratabadi,
Volume 32, Issue 3 (IJIEPR 2021)
Abstract
One of the challenges that banks are faced with is recognition and differentiation of customers and providing customized services to them. Recognizing valuable customers based on their field of business is one of the key objectives and competitive advantages of banks. To determine guild patterns of the valuable customers based on their transactions and value of each guild for the bank, the banking tools on which the customer’s transactions take place need to be surveyed. Using deeper insights into the value of each guild, banks can provide customized services to ensure satisfaction and loyalty of their customers. Study population was comprised of the holders of point of sale (POS) devices in different guilds and the transactions done through the devices in an 18-months period. Datamining methods were employed on the set of data and the results were analyzed. Data preparation and analysis were done though online analytical processing (OLAP) method and to find guild patterns of the bank customers, value of each customer was determined using recency, frequency, monetary (RFM) method and clustered based on K-means algorithm. Finally, specifications of customers in the most valuable cluster were analyzed based on their guilds and the rules were extracted from the model developed using C5 decision tree algorithm.
Seyed Hamid Zahiri, Najme Ghanbari, Hadi Shahraki,
Volume 33, Issue 2 (IJIEPR 2022)
Abstract
In current study, a particle swarm clustering method is suggested for clustering triangular fuzzy data. This clustering method can find fuzzy cluster centers in the proposed method, where fuzzy cluster centers contain more points from the corresponding cluster, the higher clustering accuracy. Also, triangular fuzzy numbers are utilized to demonstrate uncertain data. To compare triangular fuzzy numbers, a similarity criterion based on the intersection region of the fuzzy numbers is used. The performance of the suggested clustering method has been experimented on both benchmark and artificial datasets. These datasets are used in the fuzzy form. The experiential results represent that the suggested clustering method with fuzzy cluster centers can cluster triangular fuzzy datasets like other standard uncertain data clustering methods. Experimental results demonstrate that, in almost all datasets, the proposed clustering method provides better results in accuracy when compared to Uncertain K-Means and Uncertain K-medoids algorithms.
Hainnuraqma Rahim, Hamidah Irpan, Mohamed Saladin Abdul Rasool,
Volume 33, Issue 3 (IJIEPR 2022)
Abstract
Being sharia compliant is a very important matter for Muslims especially the Millennial generation particularly in obtaining halal foods. In the context product and service selection and purchase, the Millennial generation is considered to have high capability in the aspect of accessing rapid information through the social media. In effect, the Millennial Muslims behavior is enviasaged to enhance the consumption of halal products and services in Malaysia due to their purchasing power. Thus, the main aim of the present study is to examine the purchasing behaviour of Millennial Muslims towards halals products. A dataset comprising of 403 respondents were employed using Structural Equation Modeling-Partial Least Square (SEM-PLS). This cross-section study identified specific factors such as social media influencers, understanding of halal concept and perception of halal logo. Specifically, attitude plays the role of mediator in this study. Thus, this study suggests that the purchase of halal food is influenced by these factors. Hence, producers should strategize their marketing communication efforts on various social networking sites to strengthen consumers awareness on the values of halal products.
Seyed Mohamad Hamidzadeh, Mohsen Rezaei, Mehdi Ranjbar-Buorani,
Volume 33, Issue 4 (IJIEPR 2022)
Abstract
In this paper, a closed-loop supply chain is modeled based on hyperchaotic dynamics. Then, synchronization of the two hyperchaotic closed loop supply chains is performed with a proportional integral (PI) sliding mode controller design method. Using Lyapunov stability theory, it has been proved that the PI sliding mode controller can converge the synchronization error to zero in a limited time. The most important issue in the design of control strategies is the behavior of the control signal. In other words, it affects the cost of design and implementation. Numerical simulation results show that the control signal has low amplitude and fluctuations. so, the PI sliding mode control method can be implemented in the real world. Based on the numerical simulation results, the use of two controllers is proposed to reduce design costs.
Seyed Mahdi Aghazadeh, Hamid Farvaresh,
Volume 34, Issue 4 (IJIEPR 2023)
Abstract
The growing online marketplace has opened a plethora of opportunities for businesses across various industries. Manufacturers, seeking to bypass intermediaries and directly reach end-users, have been increasingly adopting online sales channels in addition to their traditional retail sales. A key challenge, however, lies in determining optimal pricing strategies and advertising investments for both manufacturers and retailers while considering various constraints. This study contemplates a two-echelon supply chain model involving one manufacturer and two retailers. The manufacturer sells its product both through retailers (offline channel) and directly to consumers via an online channel. The model features both global and local advertising. The influence of global advertising is realized through distinct advertising channels, each with a unique impact on demand. To further motivate retailers, the manufacturer contributes to the cost of local advertising. In response to these challenges, this research formulates a bi-level model and employs the concept of Variational Inequalities to solve it. The model also contends with production capacity and budget constraints, leading to a Generalized Nash-Stackelberg game. The validity of the model and the efficacy of the solution method are assessed through numerical experiments performed. Finally, a set of valuable managerial insights are provided.
