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جستجوی مقالات مرتبط با کلیدواژه "time" در نشریات گروه "صنایع"

تکرار جستجوی کلیدواژه «time» در نشریات گروه «فنی و مهندسی»
  • Vahid Razmjooei *, Iraj Mahdavi, Mohammad Mahdi Paydar
    The design and establishment of a logistics network is a strategic decision that lasts several years to work and the parameters of customer demand and return may be changed during this time. Therefore, an efficient logistics network should be designed in a way that can respond to uncertainties. The applications of such a network can be found in different industries like the battery industry. This study aims to determine the number of products sent among the centers at each time so that the total cost of reverse logistics and delay time is minimized. To address the uncertainty in the reverse logistics network (RLN), a fuzzy programming method is utilized. To tackle the complexity of the problem, the cuckoo optimization algorithm (COA) and genetic algorithm (GA) were developed. To compare these two optimization algorithms and find the superiority of them, a series of problem instances were generated. The obtained results demonstrated a satisfactory efficacy for both meta-heuristic algorithms. It was also revealed that the sum of values sent to the main manufacturer is equal to the values obtained from the exact solution method.
    Keywords: Reverse logistics, time, cost optimization, Fuzzy theory, cuckoo optimization algorithm, Genetic Algorithm
  • Tijjani A. Waziri, Ibrahim Yusuf *, Abdullahi Sanusi

    This paper investigate some characteristics of the age replacement model with minimal repair, of series-parallel system with non-uniform failure rates and are subjected to two different types of failures, which are Type I and Type II failures. The six units of the system formed three subsystems, which are subsystems A, B and C. Subsystem A is having three parallel units, subsystem B is having a single unit and subsystem C is having two parallel units. We constructed age replacement model with minimal repair that will determine the optimal replacement time of the series-parallel system. Furthermore, we also considered some modifications of the age replacement model with minimal repair constructed. Finally, some numerical examples are given to illustrate the characteristics of the age replacement models with minimal repair constructed. From the results obtained, it was observed that the optimal replacement time of the system when the three units of A are in parallel is higher than when the three units of A are in series. It was also observed that, the optimal replacement time obtained from the standard age replacement model is higher than the optimal replacement time obtained from standard age replacement model with minimal repair.

    Keywords: optimal, Repair, Replacement, rate, System, time
  • Fahimeh Gharekhani Kasa *
    This study examines architectural design in contemporary museums in Iran. Our current understanding of the world - and even of ourselves - is still small. Just as scientists have spoken for centuries about the quantity of nature as a kind of reality - without regard for human capacities - so architects and critics have spoken of architecture as if it were a phenomenon separate from man. They look at proportions, size, weight, and so on, as if everything existed by itself, and regardless of the role of human mental and physical nature, it can be good, right, or wrong. Architecture is associated with many points such as dimension, proportion, balance, etc., the existence of which has no room for denial. For example, if a question arises about the length of a corridor or the height of a building, it is very simple to measure that corridor, or to determine the height of the building in question based on its plan. But if we want to discuss its spiritual and philosophical dimension, it is another category; the method will be different. Therefore, issues such as place, time, perspective and culture of a particular period are raised that are not possible with simple physical measurements. There is an interesting field of study called semantics that has provided a way to resolve disputes related to intangible issues. In other words, it is a way to find a special point or points that when discussing and comparing intangible issues, such as spiritual and spiritual.
    Keywords: Museum, Design, Architecture, philosophy, time
  • Mohmmad Anvar Adibhesami*, Ahmad Ekhlassi, Ali Mohammad Mosadeghrad, Amirhossein Mohebifar
    The CPM (critical path method) technique is to search out the longest path to try and do activities, so as to compress and cut back the time it takes for a project, which finally ends up inside the creation of an identical and intensive network of activities inside the targeted work. This formal random simulation study has been recognized as a remedy for the shortcomings that are inherent to the classic critical path technique (CPM) project analysis. Considering the importance of time, the cost of activities within the network, and rising the calculation of the critical path during this study, Critical Path technique has been applied to improve critical routing intelligence. This study, by simulating and analyzing dragonfly's splotched and regular patterns, has obtained the precise algorithm of attainable paths with the smallest amount cost and time for every activity. This has been done to put down the restrictions and enhance the computing potency of classic CPM analysis. The simulation results of using Dragonfly Algorithm (DA) in CPM, show the longest path in shortest time with the lowest cost. This new answer to CPM network analysis can provide project management with a convenient tool.
    Keywords: CPM, Dragonfly algorithm, Simulation, the least cost, time
  • Puspita Mahata, Gour Chandra Mahata *, Sujit Kumar De

    Traditional supply chain inventory modes with trade credit usually only assumed that the up-stream suppliers offered the down-stream retailers a fixed credit period. However, in practice the retailers will also provide a credit period to customers to promote the market competition. In this paper, we formulate an optimal supply chain inventory model under two levels of trade credit policy with default risk consideration. Here, the demand is assumed to be credit-sensitive and increasing function of time. The major objective is to determine the retailer’s optimal credit period and cycle time such that the total profit per unit time is maximized. The existence and uniqueness of the optimal solution to the presented model are examined, and an easy method is also shown to find the optimal inventory policies of the considered problem. Finally, numerical examples and sensitive analysis are presented to illustrate the developed model and to provide some managerial insights.

    Keywords: Supply chain management, Trade credit, Inventory, Time, credit period sensitive demand, Default risk
  • Mosata Setak *, Shabnam Izadi, Hamid Tikani
    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.
    Keywords: Time, dependent vehicle routing problem, Multi, graph, FIFO property, Disaster relief, Service time
  • Mohammadreza Shahriari

    The time–cost tradeoff problem is one of the most important and applicable problems in project scheduling area. There are many factors that force the mangers to crash the time. This factor could be early utilization, early commissioning and operation, improving the project cash flow, avoiding unfavorable weather conditions, compensating the delays, and so on. Since there is a need to allocate extra resources to short the finishing time of project and the project managers are intended to spend the lowest possible amount of money and achieve the maximum crashing time, as a result, both direct and indirect costs will be influenced in the project, and here, we are facing into the time value of money. It means that when we crash the starting activities in a project, the extra investment will be tied in until the end date of the project; however, when we crash the final activities, the extra investment will be tied in for a much shorter period. This study is presenting a two-objective mathematical model for balancing compressing the project time with activities delay to prepare a suitable tool for decision makers caught in available facilities and due to the time of projects. Also drawing the scheduling problem to real world conditions by considering nonlinear objective function and the time value of money are considered. The presented problem was solved using NSGA-II, and the effect of time compressing reports on the non-dominant set.

    Keywords: Time, cost tradeoff . Time value of money . Crashing . NSGA-II . Multi-objective problem . AOA network
  • Alireza Eydi, Hiva Farughi, Farid Abdi
    Time, cost and quality are considered as the main components in managing each project. Previous researches have mainly focused on the time-cost trade-off problems. Recently quality is considered as the most important factor in project�s success, which is influenced by time acceleration that is the less time is spent the more success is gained. In time-cost-quality trade-off problems, each activity can be done in various execution modes and determination of these execution modes is seen as to minimize the project time and cost and maximize its quality. In this paper, three integer programming models are provided and one of the main objectives is optimized in each model by assigning the proper bound to other objectives. Following the non-dominated solutions obtained by solving models, and by means of hybrid approach of Fuzzy AHP strategy and VIKOR method regarded as multi-criteria decision making methods, the best possible alternative (from among non-dominated solutions) has been suggested.Fuzzy AHP method has been used to determine the importance rate of each objective. In this method linguistic variables were used which take us closer to reality. At the end, with applying these weights in VIKOR method, the best possible alternatives (among non-dominated solutions) were found. Using this hybrid approach can help managers, to a great extent, in selecting the appropriate solution so that maximum desirability is obtained due to the importance rate of the objective functions from the viewpoint of decision maker.
    Keywords: Project management, Time, cost, quality trade, off Problems, Multi, criteria decision making, Fuzzy AHP strategy, VIKOR method
  • عطا الله طالعی زاده، علی صالحی
    در سیستم کنترل موجودی کلاسیک، فرض بر این است که درآمد فروش، در زمان تحویل کالا، فورا دریافت می شود و کالاها می توانند عمر نامحدود داشته باشند. اما در دنیای واقعی کالاهایی وجود دارند که در طول زمان رو به زوال رفته و چنان چه نرخ زوال قابل توجه باشد، اثرات آن را باید مدنظر قرار داد. همچنین جهت ترغیت خریدار، فروشنده می تواند به خریدار اجازه دهد تا هزینه خرید را با تاخیر، پرداخت کند تا یک سیاست تشویقی برای او ایجاد شود. در این مقاله یک مساله کنترل موجودی دوره ای مورد بررسی قرار خواهد گرفت که در آن زمان مراجعه ویزیتور به خریدار یک متغیر تصادفی است. در حقیقت مدل میزان سفارش اقتصادی تحت سه شرایط تصادفی بودن مدت تحویل، لحاظ کردن سیاست پرداخت معوقه و فسادپذیری کالا توسعه داده می شود. در این مقاله به اثبات مقعر بودن تابع متوسط سود خریدار و شرایطی که این تابع باید داشته باشد تا میزان بهینه سقف موجودی تعیین شود، می پردازیم. هدف اصلی تعیین سقف موجودی خریدار است، به نحوی که سود ماکزیمم شود. برای تشریح مدل نیز یک مثال عددی و تحلیل حساسیت ارائه می شود
    کلید واژگان: کنترل موجودی, کالای فسادپذیر, مدت تحویل تصادفی, پرداخت معوقه, معامله اعتباری
    Ata Allah Taleizadeh, Ali Salehi
    In classic inventory control system، purchasing cost must be paid when purchased items are received. Furthermore، in the mentioned models، items may have infinite lifetime، while in the real world، we have some items deteriorate over the time. Also، in order to increase the sales، the suppliers may allow the retailers to pay the purchasing cost some times after receiving the ordered products. Moreover، in the real life cases، the supplier may visit the retailer and send the ordered quantity at random time and the retailer faces to stochastic lead time; then، in this case، the retailer may face to shortage. In this paper، we will extend the periodic inventory control model under delay in payment، stochastic visit interval and partial backordering for a deteriorating item. Under general probability distribution function between replenishment epochs، we show the concavity of the expected profit function and give the condition that must hold for the optimal replenish-up-to-level in order to maximize the profit. In order to show the applicability of the proposed model، the numerical examples and sensitivity analysis are provided.
    Keywords: Inventory control, Deteriorating Item, Random lead, time, Delayed Payment, Trade credit
  • محمد سعید صباغ، مهدی علینقیان، کمیل زمانلو
    این مقاله در ارتباط با معرفی، مدل سازی و حل مسئله مسیریابی وسیله نقلیه وابسته به زمان با محدودیت های بارگیری دوبعدی است. این مسئله درصدد تحویل اقلام مستطیلی شکل با استفاده از یک ناوگان همگن از وسایط نقلیه است. در این مسئله، زمان طی کردن مسیر بین دو گره نه تنها به فاصله آن دو گره از همدیگر، بلکه به زمان خروج از گره مبدا نیز بستگی دارد. در نظر گرفتن چنین فرضی برای طراحی مسیر در محیط های شهری ضروری به نظر می رسد؛ چراکه ازدحام ناشی از ترافیک در ابتدا و انتهای زمان کاری، زمان طی مسیر را تغییر خواهد داد. با وجود کاربردی بودن چنین مسئله ای، پژوهشی که به بررسی آن پرداخته باشد، وجود ندارد. در این مقاله، یک مدل جدید برای مسئله مسیریابی وسیله نقلیه وابسته به زمان با محدودیت های بارگیری دوبعدی ارائه شده است. پس از معرفی و مدل سازی مسئله مذکور، به منظور بررسی و صحه گذاری بر مدل ارائه شده، مسائلی با ابعاد کوچک حل گردیده و برای حل مسئله در ابعاد بزرگ، از الگوریتم های ژنتیک بهبودیافته و شبیه سازی تبرید استفاده شده است که در روش های مذکور برای بررسی امکان پذیری بارگیری اقلام در درون وسایط نقلیه، مجموعه ای از روش های ابتکاری به کار گرفته می شود. نتایج محاسباتی نشان می دهد که الگوریتم های ارائه شده نتایج مناسبی ارائه می دهند.
    کلید واژگان: مسئله مسیریابی وسیله نقلیه وابسته به زمان, محدودیت بارگیری دوبعدی, الگوریتم ژنتیک, الگوریتم شبیه سازی تبرید
    Mohammad Said Sabbagh, Mehdi Alinaghian, Komail Zamanloo
    This paper is dealing with Two-dimensional loading time-dependent vehicle routing problem. A new mathematical model is proposed and solved. Aforementioned problem is about delivering rectangular items to customers. In the problem that we considered، travel time between two nodes depends not only on their distance، but also depends on departure time from origin node. Such an assumption seems to be important for route design in urban areas، because traffic jam changes travel time on beginning and ending of work time. Despite applicability of such an issue، there is not any research considering this problem. In this paper، we proposed a new mathematical model. For evaluating and validating this model، some small-scale problems solved and for large-scale problems، a simulated annealing and an improved genetic algorithm are proposed. For checking feasibility of loading of assigned items to a vehicle، a collection of heuristic algorithms is used. Computational results confirm the effectiveness of the solving approaches.
    Keywords: Vehicle routing problem, Two, dimensional loading, Time, dependent, Genetic algorithm, Simulated annealing algorithm
  • R. Sundara Rajan*, R. Uthayakumar
    In this study, a two-warehouse inventory model with exponentially increasing trend in demand involving different deterioration rates under permissible delay in payment has been studied. Here the scheduling period is assumed to be a variable. The objective of this study is to obtain the condition when to rent a warehouse and the retailer's optimal replenishment policy that minimizes the total relevant cost. An effective algorithm is designed to obtain the optimal solution of the proposed model. Numerical examples are provided to illustrate the application of the model.Based on the numerical examples, we have concluded that the single warehouse model is less expensive to operate than that of two warehouse model. Sensitivity analysis has been provided and managerial implications are discussed.
    Keywords: Deterioration, Time, dependent demand, Two, warehouse, Permissible delay
  • Behrouz Afshar, Nadjafi, Arian Razmi, Farooji
    Time-dependent Vehicle Routing Problem is one of the most applicable but least-studied variants of routing and scheduling problems. In this paper, a novel mathematical formulation of time-dependent vehicle routing problems with heterogeneous fleet, hard time widows and multiple depots, is proposed. To deal with the traffic congestions, we also considered that the vehicles are not forced to come back to the depots, from which they were departed. In order to solve our bi-objective formulation, we presented two well-known Meta-heuristic algorithms, namely NSGA II and MOSA and compared their performance based on a set of randomly generated test problems. The results confirm that our MILP model is valid and both NSGA II and MOSA work properly. While NSGA II finds closer solutions to the true Pareto front, MOSA finds evenly- distributed solutions which allows the algorithm to search the space more diversely.
    Keywords: Time, dependent Vehicle Routing Problem, Bi, objective optimization, Meta, heuristics, NSGA II, MOSA
  • محمدرضا نباتچیان، حمید شهریاری، رسول شفایی
    طراحی استوار، راهکاری نوین و مبتنی بر خلاقیت برای ارتقاء سطح کیفی محصولات با حداقل هزینه ممکن می باشد که در دوران رقابتی امروز می توان از آن در سازمان های تولیدی و حتی خدماتی استفاده نمود و موجبات حفظ سود آوری و رقابت پذیری بنگاه اقتصادی را فراهم نمود. در طی حدودا 25 سال که از عمر این روش می گذرد، ابتکارات و روش های نوین حل جالبی برای آن ارائه شده است، تا آنجا که در سالهای اخیر، توجه محققین به بررسی استواری در بستر زمان معطوف گردیده است. در بررسی طراحی استوار در بستر زمان، تاکنون به بررسی همزمان چندین شاخص کیفی توجه نشده است. مقاله حاضر در پی آنست که به کمک مدلسازی ریاضی شاخصهای کیفی از طریق تابع مطلوبیت به حل این نوع مسائل بپردازدو در نهایت به پاسخهایی دست می یابد که تا حد ممکن تمامی نیازهای طراح را براورده می سازند.
    کلید واژگان: طراحی استوار, شاخصهای کیفی زمان محور, تابع مطلوبیت, تابع زیان کیفی, بهینه سازی چند پاسخه
    M.R. Nabatchian, H. Shahriari*, R.Shafaei
    Robust design is a new and innovative approach for product quality improvement with the lowest cost which sustains the profitability and competitiveness of manufacturing and service organizations in today’s competitive markets. In the nearly 25 years of its existence, interesting innovative based solutions have been proposed to solve the problems in this area. Recent years have witnessed a growing interest of research in the study of the robustness on the time line. In this area, one often needs to consider multiple quality characteristics. However, little work has been done to address this critical issue. The purpose of this article is to solve this problem with the aid of mathematical modeling of quality characteristic via desirability function. It is expected that the obtained results can satisfy the designers’ requirements to a large extent.
    Keywords: Robust design, Time, oriented quality characteristic, Desirability function, Quality loss function, Multiresponse optimization
  • سعدالله ابراهیم نژاد*، وحید احمدی، حسن جوانشیر
    افزایش کیفیت اجرای پروژه ها، کاهش مدت زمان و هزینه های اجرای آنها، اهداف اصلی در فرآیند اجرای پروژه ها هستند. مدیران پروژه ها با تخصیص مناسب منابع و انتخاب بهترین تصمیم، به دنبال تامین شدن اهداف فوق می باشند. از آنجاکه بیشتر کارهای پیشین در شرایط قطعیت و غیرواقعی انجام گرفته است و یک شکاف اساسی در تصمیم گیری مدیران در حوزه ی دانش مدیریت پروژه وجود دارد. بنابراین در نظر گرفتن شرایط عدم قطعیت که به دنیای واقعی نزدیکتر است، از برجسته ترین ویژگی های این تحقیق بشمار می رود. در مقاله حاضر یک مدل ریاضی فازی برای شبکه ای از فعالیتها پیشنهاد می شودکه هریک دارای چندین حالت(مد) برای اجرا هستند تا از بین حالت های ممکن، بهترین حالت برای اجرا انتخاب شود به گونه ای که اهداف فوق را تامین نماید. بدین منظور یک الگوریتم ژنتیک Non-dominated sorting genetic algorithm II (NSGA-II) برای حل مدل پیشنهادی طراحی گردید. سپس یک مطالعه موردی درصنعت نفت انجام شد و عملکرد مدل و الگوریتم پیشنهادی مورد آزمون قرار گرفت. همچنین با استفاده از روش برش آلفای فازی میزان اعتنای مدیر پروژه به نظرات کیفی افراد خبره آورده شده است که برای آزمون اعتبار سنجی آن، نتایج محاسباتی نشان می دهد زمانی که مقدار1 =α در نظر گرفته می شود پاسخ ها به شرایط پیمانی پروژه که همان شرایط مورد انتظار مدیر پروژه نیز می باشدگرایش دارند اما هر چقدر از شرایط قطعیت به طرف 0=α و شرایط عدم قطعیت نزدیک می شویم، پاسخ های حاصل از حل الگوریتم از نظر شرایط زمانی، هزینه ای وکیفی وضعیت بدتری نشان می دهند دلیل این وضعیت این است که مدیر پروژه، با اعتنا کردن به نظرات خبرگان، شرایط عدم قطعیت و ریسک ها را که برای پروژه بصورت تهدید مطرح می-باشند، درنظر می گیرد که این امر منجر به بدتر شدن وضعیت کلی پروژه می گردد.
    کلید واژگان: موازنه زمان, هزینه, کیفیت, منطق فازی, الگوریتم ژنتیک, شبکه CPM
    S. Ebrahimnezhad*, V. Ahmadi, H. Javanshir
    In recent years the complexity of projects, competitive business environment and organization resource constraints has resulted in attention to project management in achieving project objectives. Consequently employers looking to increase quality, reduce execution time and costs that are the main objective of the projects. It is therefore essential project managers with appropriate resource allocation and decision making process in order to meet the above objectives.Since most previous work has been done in terms of certainty and unrealistic conditions, there is a serious split in the decisions made by the project managers in the field of project management knowledge. Thus, one of the most prominent features of this study is to consider the conditions of uncertainty which is closer to the real world. In the present study, a fuzzy mathematical model is suggested for a network of activities which each includes several modes of execution in order to select the best mode among the possible modes and trade-off their criteria that will result to achieve the aforesaid purposes. To do this, a None-dominated Sorting Genetic Algorithm (NSGA-II) was designed to solve the suggested model. Then, a case study was conducted on the oil industry and the performance of the suggested model and the algorithm was examined. Furthermore, the level of attention paid by the project manager to the qualitative comments of the experts is shown using Fuzzy Alpha-cut Method. Testing the validity of such computational results indicates that when α=1, then the answers are oriented mostly toward the project contractual conditions which are the same conditions as expected by project manager. The more we are approaching from certainty conditions toward α=0 and indeed the uncertainty conditions, the worse conditions the answers resulted by solving the algorithm will have in terms of time, cost and quality. It is due to the fact that the project manager is taking the uncertainty conditions and risks into consideration by paying attention to the experts’ comments that will threat and worsen the general situation of the project.
    Keywords: Time, cost, quality trade, off, Fuzzy Logic, CPM Network, Genetic Algorithm
  • Dr M. Reza Peyghami, Dr Abdollah Aghaie, Hadi Mokhtari
    In this paper, we consider a stochastic Time-Cost Tradeoff Problem (TCTP) in PERT networks for project management, in which all activities are subjected to a linear cost function and assumed to be exponentially distributed. The aim of this problem is to maximize the project completion probability with a pre-known deadline to a predefined probability such that the required additional cost is minimized. A single path TCTP is constructed as an optimization problem with decision variables of activity mean durations. We then reformulate the single path TCTP as a cone quadratic program in order to apply polynomial time interior point methods to solve the reformulation. Finally, we develop an iterative algorithm based on Monte Carlo simulation technique and conic optimization to solve general TCTP. The proposed approach has been tested on some randomly generated test problems. The results illustrate the good performance of our new approach.
    Keywords: Project Management, Conic Optimization, Time, Cost Tradeoff Problem, Interior Point Methods, Monte Carlo Simulation
  • Mehdi Sajadifar, Behrooz Pourghannad
    The objective of this paper is to study an integrated two-supplier supply chain whose suppliersare unreliable. An unreliable supplier is alternative between available (ON) and unavailable (OFF) states which are considered to be independent exponential variables. The suppliers apply a continuous review policy and the retailer uses an adapted continuous review base on a (R,Q)policy. Transportation times are constant and lead times are non-zero random variables. The retailer faces independent Poisson demands. Using the idea of the one-for-one ordering policy, we implicitly incorporate the distribution function of the random delay for obtaining the value of the expected costs of system. Finally, resorting to a dozen of sample problems, we show that the average cost reduction in our inventory system is at least 3.69% and at most 36.95 comparing to the one with only one supplier.
    Keywords: Supply Chain Management, Unreliable Supply, Continuous Review Policy, Poisson Demand, Non, Zero Lead, time
  • Sedigheh Nader Abadi, Emad Roghanian, Hadi Aghassi
    In this paper, we present a genetic algorithm (GA) for optimization of a multi-mode resource constrained time cost trade off (MRCTCT) problem. The proposed GA, each activity has several operational modes and each mode identifies a possible executive time and cost of the activity. Beyond earlier studies on time-cost trade-off problem, in MRCTCT problem, resource requirements of each execution mode are also allocated and the highest quantities of these resources are limited. In the MRCTCT, the goal is to reduce the total project cost with respect to the resource restrictions. The gene value is encoded as the mode index which is selected from among modes of the activity randomly. For indicating construction mode of the activity, integer encoding is applied instead of binary encoding. Additionally, the selection of genes for mutation is based on chromosome value, as solution convergence rate is high. The crossover operator of GA is based on a two-point method. This paper also offers a multi-attribute fitness function for the problem. This function can vary by decision maker (DM) preferences (time or cost). In this paper, a two-phase algorithm is proposed in which both the effects of time-cost trade-off and resource-constrained allocation are taken into account. A GA-based time-cost trade-off analysis is improved for choosing the execution mode of every activity through the trade-off of time and cost, followed by proposing a resource constrained allocation algorithm to generate an optimum schedule without overriding the project constraints. Lastly, the model is verified by means of a case study and a real project.
    Keywords: A multi, mode resource constrained, Project scheduling, Time, cost trade, off, Resource constrained allocation, Multi, attribute fitness function
  • احمد رضا تحسیری*، علی رهبری
    درسیستم های کنترل فرآیند تولید که بر اساس اصول JIT طراحی می شوند، فرض بر این است که کالاهای تولید شده در هر یک از مراحل تولید، به میزانی و در زمانی برای مرحله بعدی ارسال گردد، که بلافاصله پس از رسیدن به مراکز کاری، وارد عملیات تولید شود. بدین لحاظ، هیچ گونه انبار موجودی یا صف انتظار پای کار، قبل از مراکز کاری تشکیل نمی شود. این روش به کمک متد اجرایی کانبان طی سال های متمادی در بسیاری از صنایع، مورد استفاده قرارگرفته و منشا توفیقاتی در کنترل عملیات تولیدی و به تبع آن کاهش هزینه مراحل تولید شده است. با این حال، در بسیاری از شرایط تولیدی که امکان سرمایه گذاری های اضافی برای نگهداری پیوسته نرخ تولید مراکز کاری در سطح مقدار برنامه ریزی شده اولیه وجود ندارد، چنانچه اندازه محموله ارسالی بیش از ظرفیت تولیدی مرکز بعدی برای هر بار راه اندازی باشد، تشکیل انبار موجودی پای کار، عملا اجتناب ناپذیر است. تحقیق حاضر، با طراحی یک سیستم کنترل فرآیند تولید تحت فضای JIT که دارای انبارهای توقف محصولات نیمه ساخته بین مراحل متوالی تولید می باشد، انباشت محصولاتی را که بنا به دلایل مختلف، افزون بر ظرفیت هر یک از مراکز کاری در هر بار راه اندازی به آن مرکز ارسال شوند در پای کار مجاز دانسته است. این سیستم علاوه بر گسترش دامنه به کارگیری اصول JIT برای برنامه ریزی و کنترل فرآیند های تولیدی در سیستم هایی که تحت شرایط واقعی عملا امکان اعمال پیوسته موازنه زمان و اندازه تولید بین مراحل مختلف را ندارند، در حقیقت امکان تمرکز هزینه های پنهان در سیستم های موجود کانبان و اعمال کنترل بر آن ها را فراهم می نماید. در این مقاله، ابتدا، رفتار هزینه موجودی پای کار در انبارهای قبل از مراکز کاری در یک زنجیره چندمرحله ای و تک محصولی مورد بررسی قرار گرفته و با استفاده از برنامه ریزی عدد صحیح مختلط غیرخطی، مدل هزینه انباشت مجاز با سایر اجزای هزینه در کل زنجیره، به صورت یکپارچه ارائه شده است. مدل نهایی هزینه در کل زنجیره، یک مدل NP-hard بوده و برای حل آن از الگوریتم ژنتیک استفاده شده است. به منظور ارزیابی میزان کارآیی سیستم طراحی شده، در یک زنجیره تامین چندمرحله ای و تک محصولی، از یک شبیه سازی عددی در مطالعه مقایسه ای عملکرد هزینه ای آن با سیستم موجود کانبان بر مبنای تحقیق Sarker & Wang (2004) استفاده شده است. نتایج حاصله نشان می دهد که کاربرد سیستم طراحی شده در این مقاله، سطح موجودی و هزینه در کل زنجیره را نسبت به سیستم موجود کانبان، مورد استفاده در تحقیق Sarker & Wang (2004)، به میزان قابل توجهی کاهش می دهد
    کلید واژگان: کنترل فرآیند تولید, کانبان, Just, In, Time, زنجیره تامین, مدل عددصحیح مختلط غیرخطی, الگوریتم ژنتیک
    Ahmad Reza Tahsiri *, Ali Rahbari
    In a general sense, the main concept of Just-In-Time methodology is built on the concept of availability of an exact amount and type of commodity throughout a production line when it is really required. Under such circumstances, there is no need to situate any warehouse before any of the work station within the production plant. This method of manufacturing operations with the help of Kanban tool has been able to provide a beneficial profile in term of cost reduction to many industries around of the world. It is now agreed that In the recent years particularly where rapid changing and uncertain environment is a dominant factor, this method must be implemented to manufacturing modeling and operations with more caution. Under conditions of nowadays marketplace, maintaining a balance between the diversities comes from market requirements and a designated scheduling batch size of traveling commodities comes from such a plant manufacturing strategy is rarely possible. In addition, it is not rational thinking of manipulating the outsource commodities in response to the ongoing production line requirements. Therefore a production scheduling policy that could provide more inside relaxation to supply the required items before any of the work stations is more reliable. This research patches up the current concept of Just-In-Time philosophy with some new assumptions which as a buffer permits a temporary intermediate stock before any of stages through the supply chain. The criteria for setting the right size and time of the batches traveling between each of the two sequential stages come from a new cost-effective control method. This cost model considers all elements of the total production operations within the chain and formulates them by the use of mixed integer nonlinear programming. A genetic algorithm is also developed to solve the proposed model. The results of a comparison performance of this modified JIT method with that Sarker & Wang applied in their paper (2004) show a noticeable decrease in the total cost of the chain as well as its level of WIP and its number of kanbans using within in.
    Keywords: Improved, Kanban, Just, in, time, Supply chain, Mixed integer nonlinear model, Genetic algorithm
  • مرتضی صادق عمل نیک
    در قسمت اول این نوشتار (فصلنامه شماره هفتم) به بررسی وضعیت تکنولوژی و عناصر تشکیل دهنده آن پرداخته شد و تکنولوژی از منظر اسلامی، عوامل موثر در عقب ماندگی علمی و تکنولوژی در جوامع اسلامی، تعریف تکنولوژی، مدیریت انتقال و توسعه تکنولوژی، سیکل عمر تکنولوژی، نقاط ضعف و قوت، زیرساخت ها و اقدامات مورد نیاز مورد بحث و بررسی قرار گرفت. در قسمت دوم این نوشتار (فصلنامه شماره هشتم) طراحی و برنامه ریزی استراتژیک توسعه تکنولوژی، مورد بحث و بررسی قرار گرفت و پس از بررسی نظام ارزش ها و باورها، شرایط محیطی، اهداف و راهبردها، سیاست گذاری ها، برنامه ریزی و اجرا و نحوه نظارت و کنترل، مدلی جهت برنامه ریزی های استراتژیک در چارچوب ارزش ها و باورهای اسلامی ارائه گردید. امروزه منابع انسانی مهم ترین منابع مراکز توسعه تکنولوژی می باشند و وجود پژوهشگران با انگیزه، خلاق، تعلیم دیده و توانا از ضروریات اولیه هر مرکز توسعه تکنولوژی می باشد. به همین دلیل در این مقاله مدیریت توسعه منابع انسانی در مراکز توسعه تکنولوژی مورد بحث و بررسی قرار می گیرد و درباره ساختار مراکز تکنولوژی و جایگاه مدیریت منابع انسانی، فرایند تدوین اهداف و راهبردها و سیاست گذاری، اجرای راهبردها، فرایند شناسایی، جذب و تربیت نیروهای انسانی، فرایند ارزیابی عملکرد و پاداش، تدوین برنامه های رشد پلکانی منابع انسانی، عوامل موثر در ایجاد ابتکار، خلاقیت و مسئولیت های مدیریت منابع انسانی بحث و بررسی می شود. در انتها نیز توصیه هایی برای هر یک از حیطه های مهم مدیریت توسعه منابع انسانی، ارائه می گردد.
    کلید واژگان: مدیریت توسعه منابع انسانی و زمان, اهداف, راهبردها, سیاست گذاری ها, ارزش ها, ارزیابی عملکرد, تربیت, خلاقیت
    M. Sadeghamalnik
    Having studied the technology condition and its consisting elements، the subjects such as technology from Islamic point of view، the effective factors of technology and scientific retardation in Islamic societies، technology definition، technology transfer and development management، technology life cycle، strong and weak points، infrastructures and the required steps were discussed (quarterly no. 7). In the second part، the strategic design and planning of technology development were studied and a pattern was presented for strategic planning based on Islamic values and believes after studying the system of values and believes، environmental conditions، objectives and strategies، policy makings، planning، performance and the way of inspection and control (quarterly no. 8). Nowadays، the presence of motivated، creative، trained، and able researchers is the primary necessity of every institute for technology development، considering human resources as the most important institutes'' resources. The management of human resources development is a new concept whose appearance dates back to not more than three decades. In this article، the management of human resources development in the institutes for technology development، their structures and the stand of human resources management، the compilation process of objectives، strategies، policy makings، and the performance of human resources development strategies، the process of recognizing، attracting and educating the human resources work force، the evaluation process of performance and reward، the compilation of human resources step growth programs، the effective factors in establishing innovation، creation characteristics، and responsibilities of human resources management، are studied and discussed. Finally، some recommendations for each of the important domains of management of human resources development، the need to be professional in human resources management، the evaluation management of performance and reward، the relations and connection between manager and employees، are presented.
    Keywords: Management of human resources, time, objectives, strategies, policy makings, values, performance evaluation, education, creation
نکته
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