A mobile agent is a software which performs an action autonomously and independently as a person or an organizations assistance. Mobile agents are used for searching information, retrieval information, filtering, intruder recognition in... more
A mobile agent is a software which performs an action autonomously and independently as a person or an organizations assistance. Mobile agents are used for searching information, retrieval information, filtering, intruder recognition in networks, and so on. One of the important issues of mobile agent is their security. It must consider different security issues in effective and secured usage of mobile agent. One of those issues is the integrity-s protection of mobile agents. In this paper, the advantages and disadvantages of each method, after reviewing the existing methods, is examined. Regarding to this matter that each method has its own advantage or disadvantage, it seems that by combining these methods, one can reach to a better method for protecting the integrity of mobile agents. Therefore, this method is provided in this paper and then is evaluated in terms of existing method. Finally, this method is simulated and its results are the sign of improving the possibility of inte...
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Abstract—One of the most important problems in production planning of flexible manufacturing system (FMS) is machine tool selection and operation allocation problem that directly influences the production costs and times.In this paper... more
Abstract—One of the most important problems in production planning of flexible manufacturing system (FMS) is machine tool selection and operation allocation problem that directly influences the production costs and times.In this paper minimizing machining cost, set-up cost and material handling cost as a multi-objective problem in flexible manufacturing systems environment are considered. We present a 0-1 integer linear programming model for the multiobjective machine tool selection and operation allocation problem and due to the large scale nature of the problem, solving the problem to obtain optimal solution in a reasonable time is infeasible, Paretoant colony optimization (P-ACO) approach for solving the multiobjective problem in reasonable time is developed. Experimental results indicate effectiveness of the proposed algorithm for solving the problem. Keywords—Flexible manufacturing system; Production planning; Machine tool selection; Operation allocation; Multiobjective
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In this paper, just-in-time scheduling problem with batch delivery and due date assignment for hybrid flow shop robotic cells is considered. A mixed integer linear programming (MILP) model is presented to determine the sequence of jobs... more
In this paper, just-in-time scheduling problem with batch delivery and due date assignment for hybrid flow shop robotic cells is considered. A mixed integer linear programming (MILP) model is presented to determine the sequence of jobs and robot moves. Two meta-heuristic algorithms including Artificial Immune System (AIS) and Tabu Search (TS) are proposed. The results show that AIS performs well for this problem.
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This paper deals with the hybrid flow shop scheduling (HFS) problem with assembly operation. The parts process on the hybrid flow shop stages and after that in order to produce the final product, several parts go under the assembly... more
This paper deals with the hybrid flow shop scheduling (HFS) problem with assembly operation. The parts process on the hybrid flow shop stages and after that in order to produce the final product, several parts go under the assembly operations based on the predefined hierarchy structure of products. Each product has some sub-assembly operations and the final product obtains after completion of the last sub-assembly operation. Our aim in this study is finding the schedule that minimizes the completion time of last final product. For considered problem, we first propose an integer programming model and two heuristic algorithms are then employed. Since this problem is NP-hard, we apply the simulated annealing (SA) approach for large sized problems.
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We consider a multi-facility location problem in the presence of a line barrier with the starting point of the barrier uniformly distributed. The objective is to locate n new facilities among m existing facilities minimising the summation... more
We consider a multi-facility location problem in the presence of a line barrier with the starting point of the barrier uniformly distributed. The objective is to locate n new facilities among m existing facilities minimising the summation of the weighted expected rectilinear barrier distances of the locations of new facilities and new and existing facilities. The proposed problem is designed
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In this work study the location of interface in a stirred vessel with a Concave impeller by computational fluid dynamic was presented. To modeling rotating the impeller, sliding mesh (SM) technique was used and standard k-ε model was... more
In this work study the location of interface in a stirred vessel with a Concave impeller by computational fluid dynamic was presented. To modeling rotating the impeller, sliding mesh (SM) technique was used and standard k-ε model was selected for turbulence closure. Mean tangential, radial and axial velocities and also turbulent kinetic energy (k) and turbulent dissipation rate (ε) in various points of tank was investigated. Results show sensitivity of system to location of interface and radius of 7 to 10cm for interface in the vessel with existence characteristics cause to increase the accuracy of simulation.
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In this work, study the location of interface in a stirred vessel with Rushton impeller by computational fluid dynamic was presented. To modeling rotating the impeller, sliding mesh (SM) technique was used and standard k-ε model was... more
In this work, study the location of interface in a stirred vessel with Rushton impeller by computational fluid dynamic was presented. To modeling rotating the impeller, sliding mesh (SM) technique was used and standard k-ε model was selected for turbulence closure. Mean tangential, radial and axial velocities and also turbulent kinetic energy (k) and turbulent dissipation rate (ε) in various points of tank was investigated. Results show sensitivity of system to location of interface and radius of 7 to 10cm for interface in the vessel with existence characteristics cause to increase the accuracy of simulation.
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Although lots of experiments have been done in enhanced oil recovery, the number of experiments which consider the effects of local and global heterogeneity on efficiency of enhanced oil recovery based on the polymer-surfactant flooding... more
Although lots of experiments have been done in enhanced oil recovery, the number of experiments which consider the effects of local and global heterogeneity on efficiency of enhanced oil recovery based on the polymer-surfactant flooding is low and rarely done. In this research, we have done numerous experiments of water flooding and polymer-surfactant flooding on a five spot glass micromodel in different conditions such as different positions of layers. In these experiments, five different micromodels with three different pore structures are designed. Three models with different layer orientation, one homogenous model and one heterogeneous model are designed. In order to import the effect of heterogeneity of porous media, three types of pore structures are distributed accidentally and with equal ratio throughout heterogeneous micromodel network according to random normal distribution. The results show that maximum EOR recovery factor will happen in a situation where the layers are o...
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Considering convergent product as an important manufacturing technology for digital products, we integrate functions and sub-functions using a comprehensive fuzzy mathematical optimization process. To form the convergent product, a... more
Considering convergent product as an important manufacturing technology for digital products, we integrate functions and sub-functions using a comprehensive fuzzy mathematical optimization process. To form the convergent product, a web-based fuzzy network is considered in which a collection of base functions and sub-functions configure the nodes and each arc in the network is to be a link between two nodes. The aim is to find an optimal tree of functionalities in the network adding value to the product in the web environment. First, a purification process is performed in the product network to assign the links among bases and sub-functions. Then, numerical values as benefits and costs are determined for the arc and the node, respectively. Also, a fuzzy customers' value corresponding to the arcs is considered. Next, the Steiner tree methodology is adapted to a multi- objective model of the network to find the optimal tree. A fuzzy multi-objective solution methodology is developed...
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In the current digitalized world, Open Source Software (OSS) methodology provides greater value to users and leads to increased revenue for the OSS companies. This paper investigates reliability mo ...
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ABSTRACT The existing technology is advancing into specialisation and globalisation. To survive in global competition, manufacturers should be responsible to consumer demands in different situations that are possible through efficient... more
ABSTRACT The existing technology is advancing into specialisation and globalisation. To survive in global competition, manufacturers should be responsible to consumer demands in different situations that are possible through efficient production planning. Due to the interaction of manufacturing components with each other, supply chain (SC) planning is an efficient approach. The sensitivity of such planning will be increased when a manufacturer is faced with fluctuations in demands. This article presents a mathematical model for production planning in a SC under demand uncertainty and solves it by a fuzzy multi-objective optimisation method. This model is formulated as multi-objective mixed-integer non-linear programming with conflicting objective functions. To release the sensitivity or different reactions of the system in terms of diverse uncertainty values, fuzziness is also considered in the inequalities of a constraint that includes an uncertain demand. The proposed method converts the non-linear model to the linear one and then transforms the fuzzy model to the parametric deterministic model. To show the effectiveness and validity of the presented model, a case study is carried out and the results obtained from GAMS software are shown. Finally, the conclusion is provided.
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Finding most promising suppliers based on consistency with the overall goals of buyers’ companies is of great importance where different small buyers are dependent on large suppliers. Here, the authors attempt to model and implement an... more
Finding most promising suppliers based on consistency with the overall goals of buyers’ companies is of great importance where different small buyers are dependent on large suppliers. Here, the authors attempt to model and implement an e-supply network considering the buyer-buyer-supplier triadic. This approach facilitates horizontal information exchange among buyers in sharing their experience and thereby buyers are inclined to find the most acceptable suppliers. Indeed, vertical information sharing among buyers and suppliers are considered in order to allocate the benefits of the mechanism to all partners while optimizing the network global objective function. The concept of discrepancy is first utilized to search for the most promising suppliers in the network based on the overall goals (exclusive attributes) of buyers and suppliers. Then, products’ specific attributes (bilateral attributes) are used to sharpen the results. At the last step, a genetic algorithm is used by the net...
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Page 1. Optimal gas distribution network using minimum spanning tree I. Mahdavii, N. Mahdavi-Amiri2, A. Makue, A. Mohajerii, R. Tafazzoli4 IDepartment of Industrial Engineering, Mazandaran University of Science and Technology ...
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... Step 6. Finally, the preference order is ranked ... next step, the questionnaire, depicted in Table 1, has been designed to elicit and assess information on preferences of the ... 1 The brand of the phone (the marketing vision of... more
... Step 6. Finally, the preference order is ranked ... next step, the questionnaire, depicted in Table 1, has been designed to elicit and assess information on preferences of the ... 1 The brand of the phone (the marketing vision of brand) 2 Existence of the technical assistance of the brand ...
Reverse supply chain is a process dealing with the backward flows of used/damaged products or materials. Reverse supply chain includes activities such as collection, inspection, reprocess, disposal and redistribution. A well-organized... more
Reverse supply chain is a process dealing with the backward flows of used/damaged products or materials. Reverse supply chain includes activities such as collection, inspection, reprocess, disposal and redistribution. A well-organized reverse supply chain can provide important advantages such as economic and environmental ones. In this study, we propose a general framework and formulate a mathematical model for product return in reverse supply chain. We consider a multi- layer, multi-product for the model. The main objective of the paper is minimizing the total costs of reverse supply chain including transportation, fixed opening, operation, maintenance and remanufacturing costs of centers. To validate the mathematical model, a numerical example is solved using Lingo 9 software and the results are reported.
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ABSTRACT Optimizing an uncertain multi-objective unconstrained mathematical model is proposed. One way to optimize multi objective mathematical models is to employ utility functions for the objectives. Recent studies on utility based... more
ABSTRACT Optimizing an uncertain multi-objective unconstrained mathematical model is proposed. One way to optimize multi objective mathematical models is to employ utility functions for the objectives. Recent studies on utility based multi objective optimization consider only one utility function for each objective. But, in reality it is not reasonable to have a unique utility function corresponding to each objective function. Here, an unconstrained multi objective mathematical model is considered in which several utility functions are associated for each objective. A fuzzy probabilistic approach is incorporated to investigate the uncertainty of the utility functions for each objective. Since these utility functions are uncertain and in fuzzy form, the total utility function of the problem is a fuzzy nonlinear mathematical model. While, there are not any conventional approaches to solve such a model, a defuzzification method to change the total utility function to a crisp nonlinear model is employed. Meanwhile, alpha-cut method is applied to defuzzify the conditional utility functions. Then, an existing method to optimize the final single objective nonlinear model is adapted. The obtained results show that by changing the utility functions regarding to the dynamism of the environment, the method is still capable to provide the solutions accordingly. The effectiveness of the proposed approach is shown by solving a test problem.
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ABSTRACT This paper presents a novel mixed-integer non-linear programming model for an intra-cell layout (ICL) design for a dynamic cellular manufacturing system (DCMS). In a dynamic environment, the product mix and part demands vary... more
ABSTRACT This paper presents a novel mixed-integer non-linear programming model for an intra-cell layout (ICL) design for a dynamic cellular manufacturing system (DCMS). In a dynamic environment, the product mix and part demands vary during a multi-period planning horizon. As a result, the best cell configuration and part routings for one period may not be efficient for successive periods, and necessitating reconfiguration. A novel aspect of this model is the concurrent making of the cell formations and ICL decisions in a dynamic environment. Another aspect of this model is the utilization of a multi-row machine layout for machines of unequal-area. The DCMS model presented incorporates several design features including alternative process routings, operation sequencing, processing time, parts production volume, duplicate machines, machine capacity, ICL, multi-row layout of unequal-area facilities, continuous-area cells and machine relocation. The objective of the integrated model is to minimize the total costs of intra and inter-cell material handling, machine relocation, machine overheads and machine processing. The main constraints are part processing requirements, machine availability, maximal and minimal cell size, machine time-capacity and the non-overlapping of facilities. A comprehensive example is solved using Lingo software to verify the performance of the proposed model. Also, the computational results show that to some extent the proposed model overcomes common disadvantages in the existing dynamic cell formation models that have not yet considered layout problems of unequal-area facilities.
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Analysis of customer interactions for electronic customer relationship management (e-CRM) can be performed by way of using data mining (DM), optimization methods, or combined approaches. The microeconomic framework for data mining... more
Analysis of customer interactions for electronic customer relationship management (e-CRM) can be performed by way of using data mining (DM), optimization methods, or combined approaches. The microeconomic framework for data mining addresses maximizing the ...
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The increasing market demand for product variety forces manufacturers to design mixed-model assembly lines (MMAL) on which a variety of product models similar to product characteristics are assembled. This paper presents a method... more
The increasing market demand for product variety forces manufacturers to design mixed-model assembly lines (MMAL) on which a variety of product models similar to product characteristics are assembled. This paper presents a method combining the new ranked based roulette wheel selection algorithm with Pareto-based population ranking algorithm, named non-dominated ranking genetic algorithm (NRGA) to a just-in-time (JIT) sequencing problem when two objectives are considered simultaneously. The two objectives are minimisation the number of setups and variation of production rates. This type of problem is NP-hard. Various operators and parameters of the proposed algorithm are reviewed to calibrate the algorithm by means of the Taguchi method. The solutions obtained via NRGA are compared against solutions obtained via total enumeration (TE) scheme in small problems and also against four other search heuristics in small, medium and large problems. Experimental results show that the proposed algorithm is competitive with these other algorithms in terms of quality and diversity of solutions.
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ABSTRACT The application of intelligent agents in decision-making has gained extensive interest. Intelligent agents function as decision aids to automate variety of tasks and facilitate decision-making. Service industry market analysis... more
ABSTRACT The application of intelligent agents in decision-making has gained extensive interest. Intelligent agents function as decision aids to automate variety of tasks and facilitate decision-making. Service industry market analysis was carried out investigating the included components. Here, we consider a market in which customer and vendor are the two components. To conceptualize the interaction between customer and vendor, a virtual intelligent agent is proposed to perform optimization decisions namely, minimizing the total delivery cost, minimizing the total delivery time, and maximizing the total profit. The optimization is fulfilled with respect to several attributes related to the customer and vendor intelligent agents. The multi-objective model is optimized using fuzzy goal programming. The validity and applicability of the proposed mechanism is illustrated in a numerical example.