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multi-objective programming

در نشریات گروه صنایع
تکرار جستجوی کلیدواژه multi-objective programming در نشریات گروه فنی و مهندسی
  • میلاد سالکی، محمدصابر فلاح نژاد*، داود شیشه بری، محمدعارف دهقانی تفتی
    هدف

    به طورکلی انتخاب یک سبد سرمایه گذاری با بازدهی مناسب که درعین حال مطمئن و قابل نقدشدن باشد، از مسایل مطرح شده در دهه های اخیر می باشد. در پژوهش حاضر به پیشنهاد یک رویکرد مناسب با استفاده از مقادیر ایده آل و ضد ایده آل، مقادیر آرمانی و حداکثر انحرافات ممکن از هر آرمان، اهداف فازی و برنامه ریزی آرمانی فازی و هم چنین وزن دهی اهداف با استفاده از نظر خبرگان درصدد انتخاب سبد سرمایه گذاری در بازار ارزهای دیجیتال برمی آید.

    روش شناسی پژوهش: 

    در این پژوهش رویکرد جدیدی در زمینه انتخاب سبد سرمایه گذاری با توجه به داده های غیرقطعی و برنامه ریزی غیرقطعی چندهدفه، ارایه شده و درنهایت رویکرد پیشنهادی مذکور در بازار ارزهای دیجیتال به جهت انتخاب سبد سرمایه گذاری پیاده سازی می شود.

    یافته ها

    نتایج پژوهش حاضر نشان داد که سبد سرمایه گذاری مدل پیشنهادی نسبت به مدل پایه نه تنها بازدهی بالاتری را در پی داشته، بلکه قابلیت نقدشوندگی بالاتر و هم چنین کنترل ریسک بهتری را در پی دارد. به عبارت دیگر مدل پیشنهادی در تمامی اهداف مورد بررسی، عملکرد بهتری را نسبت به مدل پایه مورد بررسی، ارایه داد.

    اصالت/ارزش افزوده علمی:

     به عنوان وجوه تمایز مدل پیشنهادی تحقیق حاضر می توان به 1- ساخت و استفاده از توابع توزیع فازی و محاسبه مقادیر آرمانی و فواصل مورد انتظار برای تمامی اهداف موردنظر با توجه به شرایط بازار مورد بررسی تحقیق با استفاده از مدل سازی ساده ریاضی، 2- استفاده از تجربه خبرگان بازارهای مالی در مدل برنامه ریزی به جهت انتخاب پرتفولیو سرمایه گذاری مناسب در بازارهای مالی نوظهور، 3- ارایه رویکردی به جهت محاسبه ریسک پرتفولیو در شرایط کمبود اطلاعات محیط مساله با استفاده از تئوری نظریه فازی، 4- توسعه روش مبنا-معیار فازی به جهت وزن دهی اهداف مورد بررسی در مساله با توجه به درنظر گرفتن تجربه خبرگان بازار های مالی و 5- مدل سازی ساده، درنظر گرفتن مقادیر فازی بازه ای در مدل و دارای قابلیت استفاده برای تمامی افراد با سطوح دانش سرمایه گذاری متفاوت اشاره کرد.

    کلید واژگان: ارزهای دیجیتال، انتخاب سبد سرمایه گذاری، برنامه ریزی چند هدفه، توابع رضایت، فازی بازه ای
    Milad Saleki, Mohamad Saber Falah Nejad *, Davood Shishebori, Mohammad Aref Dehghani Tafti
    Purpose

    Generally, selecting an investment portfolio with appropriate returns that is also secure and auditable has been one of the issues raised in recent decades. For this purpose, the present research proposes an appropriate approach using ideal and anti-ideal values, ideal values, as well as maximum deviations of each objective, considering the sample in the examined market, fuzzy goals, interval fuzzy values for each asset, and their combination with satisfaction functions, fuzzy ideal planning, and weighting objectives using expert decision-makers' opinions, as well as the development of fuzzy basic weighting method. It seeks to select an investment portfolio in the digital currency market.

    Methodology

    In this research, a new approach to selecting an investment portfolio based on uncertain data and multi-objective uncertain planning is proposed, and ultimately, the proposed approach is implemented in the digital currency market for portfolio selection.

    Findings

    The results of the present study show that the proposed model of investment portfolio compared to the base model not only led to higher returns but also had higher audibility and better risk control. In other words, the proposed model outperformed the base model in all the objectives under study.

    Originality/Value:

     As distinguishing features of the proposed model of this research, one can mention: 1) constructing and using fuzzy distribution functions and calculating ideal values and expected ranges for all desired objectives considering the conditions of the examined market research using simple mathematical modeling, 2) utilizing the experience of financial market experts in planning model for selecting suitable investment portfolios in emerging financial markets, 3) presenting an approach to calculating portfolio risk in conditions of information scarcity in the problem environment using fuzzy theory, 4) development of the fuzzy benchmark-criterion method for weighting the objectives under study in the problem considering the expertise of financial market experts, and 5) simple modeling, considering interval fuzzy values in the model, and being usable for all individuals with different levels of investment knowledge.

    Keywords: Digital Currencies, Portfolio Selection, Multi-Objective Programming, Satisfaction Functions, Fuzzy Interval
  • Mohammad Mousazadeh *, Pooneh Pasha
    Population growth has led to more food demand, especially meat. Designing a supply chain, especially a meat one, is complicated due to the uncertainty of food demand and the perishability of meat. To this aim, we develop a multi-objective mixed-integer linear programming model. The developed model contains four echelons, i.e., farms, slaughterhouses, retailers, and customers. The first objective function minimizes the total costs, the second objective minimizes the distribution time, and the third objective minimizes the network's non-resiliency simultaneously. An enhanced version of the augmented ε-constraint method is employed to solve the suggested model, and a set of Pareto–optimal solutions is found. This study also explores the impact of using the robust possibilistic approach in modeling a supply chain network under uncertainty. Numerical experiments demonstrate that the robust optimization approach brings significantly superior outcomes in comparison to the conventional deterministic approach, and the model provides a practical and valuable tool for real-world supply chain challenges.
    Keywords: Meat Supply Chain, Resiliency, Uncertainty, Improved Augmented Ε-Constraint, Multi-Objective Programming, Robust Possibilistic Approach
  • Habibe Sadeghi *, Farzaneh Anis Hosseini
    In this paper, we present a suitable extension of the approach described by Pieume et al. (2011) for solving multi-follower multi-objective linear bilevel programming problems. This problem is a special case of multi-follower bilevel linear programming problems, where each decision maker possesses several objective functions that in some cases, conflict with one another. We construct a multi-objective linear programming problem. Furthermore, we show that the multi-follower multi-objective linear bilevel programming problem can be reduced to optimize the top-level multi-objective linear programming problem over an efficient set. The proposed approach uses a Pareto-filter scheme, and obtains an approximate discrete representation efficient set unlike the fuzzy approaches that only obtain one efficient solution.  Ultimately, a numerical example is presented to illustrate the efficiency of the proposed approach.
    Keywords: Multi-objective programming, Multi-follower linear bilevel programming, Pareto-optimal solutions, Feasible set
  • Mohammad Soori, Azizolah Jafari *, Rashed Sahraeian
    This study proposes a novel sustainable multi-objective agri-food supply chain in Mushroom industry due to the lack of economic, environmental, and social aspects that the prior studies neglected. The proposed study examines a four-echelon model including suppliers, intermediate manufacturers, final manufacturers and markets (plus secondary market). The model is also validated to provide insights into a relevant industry. The results indicated that investment in the oyster mushroom would lead to economic and social improvements. Moreover, investing in the button mushroom was observed to improve all three sustainability aspects. In the case of investing in the oyster and button mushroom, increasing the capacity of compost factories and sales price would lead to different results. Furthermore, the profitability of the supply chain was found to rise when waste is sold in the secondary market. Therefore, managers can adopt different strategies under different circumstances based on their priorities to raise supply chain profitability.
    Keywords: green supply chain, linear programming, Multi-objective programming, Sustainable agri-food supply chain, Uncertain product demand, yield
  • مهدی الله دادی*، فاطمه سالاری پور شریف، حسن میش مست نهی
    هدف

    در حالت کلی، تعیین جواب های موثر مدل برنامه ریزی کسری خطی چند هدفه بازه ای(IMO‎LFP‎)  یک مسئله ‎PN- سخت است. ‏تاکنون روش کارآمدی برای تعیین جواب های موثر در این زمینه ارایه نشده است. بنابراین نیاز به یک روش مناسب برای تعیین جواب های موثر ‎‎‎IMO‎LFP‎‎  وجود دارد. ما می خواهیم الگوریتم هایی را معرفی کنیم که برای اولین بار جواب های موثر قوی و ضعیف IMO‎LFP‎‎  بدست آیند.

    روش شناسی پژوهش

    در این ‏مقاله‏، دو الگوریتم معرفی می کنیم به طوری که در یکی، شدنی قوی نامعادلات و در دیگری، شدنی ضعیف نامعادلات در نظر گرفته می شود (یک دستگاه نامعادلات، شدنی قوی است اگر و تنها اگر کوچک ترین ناحیه آن شدنی باشد و یک دستگاه نامعادلات، شدنی ضعیف است اگر و تنها اگر بزرگ ترین ناحیه آن شدنی باشد). توابع هدف IMO‎LFP‎ را به توابع هدف خطی حقیقی تبدیل نموده و سپس به یک مدل برنامه ریزی خطی تک هدفه تبدیل می کنیم و در هر تکرار، محدودیت جدید به ناحیه شدنی اضافه می کنیم. با انتخاب یک نقطه دلخواه از ناحیه شدنی به عنوان نقطه شروع و استفاده از الگوریتم های پیشنهادی‏، جواب های موثر قوی و ضعیف  IMO‎LFP‎ را بدست می آوریم.

    یافته ها

    در هر دو الگوریتم پیشنهادی، با انتخاب نقاط دلخواه جواب  موثر بدست می آوریم و با تغییر نقطه ی شروع‏، یک نقطه ی جدید به عنوان جواب موثر بدست می آوریم.

    اصالت/ارزش افزوده علمی

    در این پژوهش توانسته ایم برای اولین بار جواب های موثر قوی و ضعیف مدل  IMOLFP بدست آوریم.

    کلید واژگان: برنامه ریزی چند هدفه، برنامه ریزی کسری خطی بازه ای، جواب موثر قوی، جواب موثر ضعیف
    Mehdi Allahdadi *, Fatemeh Salary Pour Sharif Abad, Hassan Mishmast Nehi
    Purpose

    Determining efficient solutions of the Interval Multi Objective Linear Fractional Programming (IMOLFP) model is generally an NP-hard problem. For determining the efficient solutions, an effective method has not yet been proposed. So, we need to have an appropriate method to determine the efficient solutions of the IMOLFP. For the first time, we want to introduce algorithms in which the strongly and weakly efficient solutions of the IMOLFP are obtained.

    Methodology

    In this paper, we introduce two algorithms such that in one, strongly feasible of inequalities and in the other, weakly feasible of inequalities are considered (A system of inequalities is strongly feasible if and only if the smallest region is feasible, and a system of inequalities is weakly feasible if and only if the largest region is feasible). We transform the objective functions of the IMOLFP to real linear functions and t‎hen convert to a single objective linear model and then in each iteration of the algorithm, we add some new constraints to the feasible region. By selecting an arbitrary point of the feasible region as start point and using the proposed algorithms, we obtain the strongly and weakly efficient solutions of the IMOLFP.

    Findings

     In both proposed algorithms, we obtain an efficient solution by selecting the arbitrary points, and by changing the starting point, we obtain a new point as the efficient solution.

    Originality/Value

    In this research, for the first time, we have been able to obtain the strongly and weakly efficient solutions of the IMOLFP.

    Keywords: Multi Objective Programming, Interval linear fractional programming, Strongly efficient solution, Weakly efficient solution
  • Jafar Esmaeeli, Maghsoud Amiri*, Houshang Taghizadeh

    So far, numerous studies have been developed to evaluate the performance of “Decision-Making Units (DMUs)” through “Data Envelopment Analysis (DEA)” and “Network Data Envelopment Analysis (NDEA)” models in different places, but most of these studies have measured the performance of DMUs by efficiency criteria. The productivity is considered as a key factor in the success and development of DMUs and its evaluation is more comprehensive than efficiency evaluation. Recently, studies have been developed to evaluate the productivity of DMUs through the mentioned models but firstly, the number of these studies especially in NDEA models is scarce, and secondly, productivity in these studies is often evaluated through the “productivity indexes”. These indexes require at least two time periods and also the two important elements of efficiency and effectiveness in these studies are not significantly evident. So, the purpose of this study is to develop a new approach in the NDEA models using “Multi-Objective Programming (MOP)” method in order to measure productivity of DMUs through efficiency and effectiveness “simultaneously, in one stage, in a period, and interdependently”. “Simultaneous and single-stage” study provides the advantage of sensitivity analysis in the model. One case study demonstrates application of the proposed approach in the branches of a Bank. Using proposed approach revealed that it is possible for a branch to be efficient by considering its subdivisions separately but not be efficient by considering the conjunction between its subdivisions. In addition, a branch may be efficient by considering the conjunction between its subdivisions but not be productive. Efficient branches are not necessarily productive, but productive branches are also efficient.

    Keywords: Productivity, Effectiveness, Efficiency, Productivity indexes, Network DEA, Multi-Objective Programming
  • Roza Babagolzadeh, Javad Rezaeian*, Mohammad Valipour Khatir

    Sustainable supply chain networks have attracted considerable attention in recent years as a means of dealing with a broad range of environmental and social issues. This paper reports a multi-objective mixed-integer linear programming (MILP) model for use in the design of a sustainable closed loop supply chain network under uncertain conditions. The proposed model aims to minimize total cost, optimize environmental impacts of establishment of facilities, processing and transportation between each level as well as social impacts including customer satisfaction. Due to changes in business environment the uncertainty existed in the research problem, in this paper the chance constrained fuzzy programming approach applied to cope with uncertainties in parameter of the proposed model. Then the proposed multi-objective model solves as single-objective model using LP-metric method.

    Keywords: Supply chain management, Sustainable supply chain, Closed-loop supply chain, Fuzzy optimization, Multi objective programming
  • Aahmad Makui *, Farzaneh Ashouri, Farnaz Barzinpour

    In this paper, we introduce a two stages model for allocation of injuries and medical supplies to medical centers. In the first stage a multi objective mathematical model allocates injured people from the affected neighborhood to medical centers. In the second stage a single objective linear model allocates medical supplies from the supply points to medical centers. The first stage’s objective is simultaneously minimizing the total relief time and costs and maximizing the level of matching the type of injury with the specialized field of the medical centers those injuries are sent. The second stage’s objective is to minimize the costs of allocating medical supplies to medical centers. An integrated model that combines the two previous models is presented and comparing the results with the two stages model. Proposed models are applied to one of the districts of Tehran to demonstrate their effectiveness. The case study includes two affected neighborhood and four medical centers and three supply points. ϵ-constraint method is used to produce the Pareto optimal solutions in a MOMP.

    Keywords: Emergency condition, Mathematical Modeling, assignment, Multi-objective Programming, ϵ-constraint method
  • Parham Azimi *, Abulfazl Asadollahi
    In this research, a hierarchical location-allocation problem is modeled in a queue framework. The queue model is considered as M/M/1/k, in which system capacity is finite, equals to k. This is the main contribution of the current research. Customer's enters to the system in order to find the service according to a Poisson. In this problem, the hierarchical location-allocation model is considered in two levels. Also, the model has two objective functions: maximizing the total number of demand coverage and minimizing the waiting time of customers in queues to receive services. After modeling and verifying the validity of the presented model, it is solved using NSGA II and MOPSO meta-heuristics.
    Keywords: Location-Allocation Problems, Hierarchical Models, Multi-objective programming, Taguchi method, NSGA-II Algorithm, M-M-m Queuing Model
  • مهدی خجسته، مریم اشرفی *
    با پیشرفت روزافزون دانش اقتصاد و رشد پرشتاب فناوری، دارایی های فکری بیش ازپیش در کانون توجه مدیران سرمایه گذاری شرکت ها و پژوهشگران شرکت قرار گرفته اند. شاید بتوان حقوق ثبت اختراع را مهم ترین دارایی فکری برشمرد و یکی از دلایل این امر تحقیقات فراوانی است که در حوزه ابعاد گوناگون این حقوق صورت گرفته است. حق ثبت اختراع امکان استفاده از فناوری را به صورت انحصاری در مدت محدود (اغلب به مدت بیست سال) برای دارنده آن فراهم می آورد. از آنجا که بسیاری از شرکت های صنعتی و خدماتی برای حفظ مزیت های رقابتی خود و نیز رشد پایدار کسب وکار نیازمند به کسب فناوری های نوین از طریق خرید حقوق ثبت اختراع هستند، مساله ارزیابی حقوق ثبت اختراع به چالش جدی در عرصه فناوری مبدل شده است. در این پژوهش مدلی برای ارزیابی و رده بندی حق ثبت اختراع بر مبنای روش های برنامه ریزی چندمعیاره ارائه شده است و سپس مدل مذکور جهت تصمیم گیری درباره انتخاب فناوری های مرتبط با تلفن همراه اجرایی شده است. در پژوهش حاضر، انتخاب یک فناوری از میان چهار فناوری: (1) نمایشگر دوگانه، (2) ردیابی گوشی گم شده، (3) امنیت ارتباطات بی سیم و (4) بانکداری از راه دور صورت گرفته است. اجرای مدل با لحاظ چهار معیار اصلی: (1) جوهره فناوری، (2) هزینه فناوری، (3) بازار محصول و (4) بازار فناوری منجر به انتخاب فناوری امنیت بی سیم از میان این 4 فناوری شده است. همچنین صحت نتیجه به دست آمده حاصل از اجرای مدل پژوهش به کمک روش الکتر (تسلط تقریبی) تایید شده است.
    کلید واژگان: مدیریت فناوری، رده بندی فناوری، ارزش گذاری حق ثبت اختراع، فرایند تحلیل سلسله مراتبی، برنامه ریزی چندهدفه، روش الکتر
    Mehdi khojaste, Marayam Ashrafi *
    With the advent of growing knowledge of the economy and the rapid growth of technology, intellectual property has become the focus of attention of corporate investment managers and researchers. Patent are considered to be the most important intellectual asset, and one of the reasons for this is the extensive research that has been done on the various dimensions of these rights. The patent provides the possessor with the possibility to use the technology exclusively for a limited period (often twenty years). Since many industrial and service companies need to acquire new technologies by the purchase of patent rights to maintain their competitive advantage and sustained business growth, the issue of patent assessment has become a serious challenge in the field of technology. In this research, a model for evaluating and ranking patents based on multi-criteria programming methods is presented and then the resulting model is implemented in a cell phone company. The company is required to choose a technology from four technologies: (1) a dual display, (2) missing phone tracking, (3) wireless communications security, and (4) remote banking to develop its products. The implementation of the model is based on four main criteria: (1) the essence of technology, (2) the cost of technology, (3) the product market, and (4) the technology market in the company led to the choice of wireless security technology. Also the accuracy of the result obtained from the implementation of the research model has been confirmed by the method of ELECTRE.
    Keywords: Technology Management, Technology Prioritization, Patent Valuation, Analytic Hierarchy Process, Multi-objective Programming, ELECTRE Method
  • Jae Dong Hong *, Ki Young Jeong

    This paper proposes an innovative procedure of finding efficient facility location–allocation (FLA) schemes, integrating data envelopment analysis (DEA) and a multi-objective programming (MOP) model methodology. FLA decisions provide a basic foundation for designing efficient supply chain network in many practical applications. The procedure proposed in this paper would be applied to the FLA problems where various conflicting performance measures are considered. The procedure requires that conflicting performance measures classified as inputs to be minimized, or outputs to be maximized. Solving an MOP problem generates diverse alternative FLA schemes along with multi-objective values. DEA evaluates these schemes to generate a relative efficiency score for each scheme. Then, using stratification DEA, all of these FLA schemes are stratified into several levels, from the most efficient to the most inefficient levels. A case study is presented to demonstrate the effectiveness and efficiency of the proposed integrating method. We observe that the combined approach in this paper performs well and would provide many insights to academians as well as practitioners and researchers.

    Keywords: Facility location, allocation, Data envelopment analysis, Multi-objective programming, Performance measures, Relative efficiency score
  • سیدعلی ترابی*، منصور دودمان، علی بزرگی امیری
    روند روبه افزایش وقوع حوادث و بحران های طبیعی بیانگر اهمیت برنامه ریزی های مقابله با آن هاست. در این پژوهش، مدل امکانی-تصادفی دوسطحی چندهدفه-چنددوره ای-چندکالایی مبتنی بر برنامه ریزی آرمانی به منظور یکپارچه سازی عملیات قبل و بعد بحران، همچنین بازسازی مسیرها و تسهیلات امدادی آسیب دیده ارائه شده است. توابع هدف درنظر گرفته شده شامل حداقل کردن کل هزینه ها (هزینه های حمل کالاهای امدادی میان تسهیلات، هزینه های ذخیره سازی اقلام امدادی، هزینه های کمبود، هزینه های بازسازی انبارها و مسیرهای آسیب دیده) و حداکثرکردن توزیع عادلانه اقلام امدادی در مناطق آسیب دیده است. عدم قطعیت شناختی در پارامترهای مرتبط با اهداف آرمانی، تقاضای نقاط آسیب دیده و هزینه ها درنظر گرفته شده است. مدل غیرقطعی ابتدا به کمک روش برنامه ریزی امکانی کارا، به مدل قطعی چندهدفه تبدیل شده و در ادامه با استفاده از روش ترابی و هسینی به مدل تک هدفه معادل کاهش می یابد. نتایج حاصل از حل مدل روی مثال عددی، بیانگر کارایی مدل ریاضی است.
    کلید واژگان: لجستیک بشردوستانه، بازسازی مسیرها و انبارهای آسیب دیده، برنامه ریزی آرمانی، برنامه ریزی امکانی-تصادفی دومرحله ای، بهینه سازی چندهدفه
    Ali Torabi *, Mansour Doodman, Ali Bozorgi, Amiri
    The increasing trend in happening natural disasters mandates developing appropriate contingency plans to deal with them. in this paper, a goal programming based model is developed for an integrated pre- and post-disaster operations management while considering the restoration of disrupted routed and warehouses. The model accounts for epistemic uncertainty in input data through a hybrid two-stage scenario-based possibilistic-stochastic programming model. To validate the proposed model and its practicality, an illustrative example is also presented and its numerical results are assessed.
    Keywords: Humanitarian logistics, Relief chain, Two-stage possibilistic-stochastic programming, Goal programming, Multi-objective programming
  • Sapan Kumar Das, Tarni Mandal
    In this paper, we studied fuzzy linear fractional programming (FLFP) problems with trapezoidal fuzzy numbers where the objective functions are fuzzy numbers and the constraints are real numbers. In this study, in order to obtain the fuzzy optimal solution with unrestricted variables and parameters, a new efficient method for FLFP problem has been proposed. These proposed methods are based on crisp linear fractional programming and newly transformation technique is also used. A computational procedure has been presented to obtain an optimal solution. To show the efficiency of our proposed method a real life example has been illustrated.
    Keywords: Triangular fuzzy number, linear fractional programming problem, Multi Objective Programming, ranking function
  • Arezoo Rahmani-Ahranjani, Ali Bozorgi-Amiri *, Mehdi Seifbarghy, Esmaeil Najafi
    Governments and customers are forcing the paper manufacturers to become more sustainable. Accordingly, there still exists a gap in the quantitative modeling of these issues. In this paper, this gap is covered through simultaneously considering economical, environmental and social impacts in the paper closed-loop supply chain network design. The proposed multi-objective, multi-echelon, multi-product and single-period model is composed of suppliers, plants, regional wholesalers, retailers, customer zones, collection sites, centralized collection points, recycling facilities, energy recovery and disposal centers.The objectives considered are minimization of total cost; environmental benefit through maximizing coverage of collected waste paper by opened centralized collection centers; and maximization of the social impact of the network in a way that would prefer the location of facilities in the less populated regions.The proposed model is applied to an illustrative example designed utilizing real data of the paper industry in East Azerbaijan of Iran and interactive fuzzy goal programming approach is used to solve the developed model. Sensitivity analysis of the proposed model is also performed by considering key parameters.
    Keywords: Closed-loop supply chain, multi-objective programming, location model, paper recovery
  • اسماعیل مهدی زاده*، رسا قاضی زاده
    در این پژوهش، یک مدل برنامه ریزی تولید ادغامی چندهدفه فازی با درنظرگرفتن دو عامل اثر یادگیری کارگران و اثر زوال ماشین آلات ارائه می شود. توابع هدف شامل اهداف کمی افزایش سود و کاهش هزینه خرابی دستگاه ها و هدف کیفی افزایش میزان رضایتمندی مشتری هستند. سپس با درنظرگرفتن اوزان متفاوت برای اهداف و اصلاح اهداف با روش برنامه ریزی آرمانی فازی، مدل چندهدفه فازی به یک مدل تک هدفه قطعی تبدیل شده و با الگوریتم های ژنتیک و جست وجوی ممنوعه حل شده است. در تنظیم پارامترهای دو الگوریتم از روش تاگوچی بهره گرفته می شود. در پایان، جواب به دست آمده از دو الگوریتم با استفاده از آزمون فرض برابری میانگین ها با هم مقایسه می شوند. نتایج نشان می دهند الگوریتم ژنتیک در حل مدل ارائه شده نسبت به الگوریتم جست وجوی ممنوعه کارایی بیشتری دارد.
    کلید واژگان: الگوریتم جست وجوی ممنوعه، الگوریتم ژنتیک، برنامه ریزی آرمانی فازی، برنامه ریزی تولید ادغامی، برنامه ریزی چندهدفه
    Esmaeil Mehdizadeh *, Rasa Ghazizadeh
    In this paper a non linear integrated fuzzy multi-objective production planning model with the labor learning and machines deterioration effects is presented. The objective function consists of two quantitative objectives namely increase profits and reduces the cost of system failure and a qualitative objective namely increases the satisfaction rate of the customers. Different weights for objectives and modification of the objectives by using fuzzy goal programming method are considered to convert the fuzzy multi-objective model to a deterministic single-objective model and the obtained model is solved by Genetic algorithm and Tabu search algorithm. Finally, the solution obtained from two algorithms compared together by using hypothesis test of equality of means. Experimental results show the proposed Genetic algorithm for solving the model has higher performance than the Tabu search algorithm.
    Keywords: Aggregate production planning, Fuzzy goal programming, Genetic Algorithm, Multi-objective programming, Tabu search algorithm
  • Firoozeh Kaveh, Reza Tavakkoli Moghaddam *, Dr. Amin Jamili, Maryam Eghbali
    This paper presents a bi-objective capacitated hub arc location problem with single assignment for designing a metro network with an elastic demand. In the literature, it is widely supposed that the network created with the hub nodes is complete. In this paper, this assumption is relaxed. Moreover, in most hub location problems, the demand is assumed to be static and independent of the location of hubs. However, in real life problems, especially for locating a metro hub, the demand is dependent on the utility that is proposed by each hub. By considering the elasticity of demand, the complexity of solving the problem increases. The presented model also has the ability to compute the number of trains between each pair of two hubs. The objectives of this model are to maximize the benefits of transportation and establishing the hub facilities while minimizing the total transportation time. Furthermore, the bi-objective model is converted into a single objective one by the TH method. The significance of applicability of the developed model is demonstrated by a number of numerical experiments and some sensitivity analyses on the data inspired by the Qom monorail project. Finally, the conclusion is provided.
    Keywords: Urban transportation, Capacitated hub arc location, Elastic demand, Incomplete hub network, Multi-objective programming
  • F. Mokhtari Karchegani *, H. Shirouyehzad, R. Tavakkoli Moghaddam

    The fast changing and dynamic global business environment require companies to plan their entire supply chain from the raw material supplier to the end customer. In this paper, we design an integrated supply chain including multiple suppliers, multiple factories, multiple distributors, multiple customers, multiple products, and multiple transportation alternatives. A new multi-objective mixed-integer nonlinear programming model is proposed to deal with this facility location-allocation problem. It considers two conflicting objectives simultaneously, and then the problem is transformed into a multi-objective linear one. The first objective function aims to minimize total losses of the supply chain including raw material purchasing costs, transportation costs and establishment costs of factories and distributions. The second objective function is to minimize the sum deterioration rate of end products and raw materials incurred by transportation alternatives. Finally, the proposed model is solved as a single-objective, mixed-integer, programming model applying the Global Criteria Method. We test their model with numerical example and the results indicate that the proposed model can provide a promising approach to fulfill customer demand and design an efficient supply chain.

    Keywords: Supply chain design, Facility location-allocation, optimization, Global Criteria Method, Multi-objective Programming
  • Masoud Rabbani *, Mohammad Javad Ramezankhani, Hamed Farrokhi Asl, Amir Farshbaf Geranmayeh
    Delivering perishable products to customers as soon as possible and with the minimum cost has been always a challenge for producers and has been emphasized over recent years due to the global market becoming more competitive. In this paper a multi-objective mix integer non-linear programming model is proposed to maximize both profits of a distributer and the total freshness of the several products to be delivered to customers with respect to their demands and with consideration of different soft time windows for each customer, heterogeneous distribution fleet and customer selection option for the distributer. The proposed model is solved with TH method. The two genetic algorithm and simulated annealing algorithm are used to solve large-sized problems. Finally, their results are compared to each other when the optimization software becomes unable of solution representation.
    Keywords: Vehicle Routing Problem with Time Windows (VRPTW), Perishable Goods, Multi-Objective Programming, Genetic algorithm, Simulated Annealing
  • یحیی زارع مهرجردی، سفیده فریدونی، لیلا امامی میبدی
    طز آنجا که تعیین برنامه های زمانبندی کارا در مسائل توالی عملیات برای معیارهای مختلف، ازجمله مسائل مهم در برنامه ریزی تولید است، لذا در این مطالعه مساله توالی عملیات تک ماشینه با معیارهای حداقل کردن تعداد کارهای دارای تاخیر و مجموع دیرکرد موزون مورد بررسی قرار می گیرد. در این مقاله کاربرد روش های جدید بهینه سازی در مسائل توالی و زمانبندی مطرح می شود. ابتدا مدل ریاضی مساله برای اهداف موردنظر ارائه و سپس ضمن معرفی روش های شبیه سازی آنیلینگ و الگوریتم ژنتیک به عنوان روش های کاوشی، کارایی آنها در مساله موردنظر آزموده شده است. در پایان، جهت افزایش کارایی مدل الگوریتم ترکیبی برمبنای الگوریتم ژنتیک برای مساله ارائه شده است. این روش، مجموعه ای از توالی های کارا را به منظور حداقل کردن اهداف موردنظر مشخص می کند
    کلید واژگان: توالی عملیات تک ماشینه، برنامه ریزی چندهدفه، تاخیر، دیرکرد وزنی، الگوریتم های فراابتکاری
    Y. Zare Mehrjerdi, S. Fereidouni, L. Emami Maibodi
    Due to the fact that the determination of an efficient scheduling solution in the sequence of single machine operation for multiple objective programming is important, especially in production planning, we are considering a single machine sequencing problem with minimizing the number of the tasks with lateness and weighted tardiness. In this article, the application of new optimization methods in sequencing problem and scheduling are in order. We propose the mathematical model for the problem under consideration first and then by introducing simulated annealing and genetic algorithm, as solution approaches, we test their efficiency for solving the proposed problem. At the end, to increase the efficiency of the proposed model a hybrid/meta-heuristic algorithm based upon the genetic algorithm is proposed. This method identifies a collection of efficient sequencing tools for objectives minimization.
    Keywords: Sequence of Single Machine Operation, Multi Objective Programming, Lateness, Weighted Tardiness, Meta, Heuristic
  • ابوالفضل کاظمی، مسعود دل دار
    امروزه، تامین منابع شرکت از بیرون، تبدیل به یک رویکرد تجاری مهم شده است؛ چرا که این امر می تواند مزیتی رقابتی را در تولید موثرتر و کاراتر محصول یا خدمات شرکت به همراه داشته باشد. مروری بر ادبیات انتخاب تامین کننده نشان می دهد که اگرچه موضوع انتخاب تامین کننده یک مسئله ی چندمنظوره است، ماهیت چندمنظوره ی آن تا حدود زیادی ناشناخته باقی مانده است. همچنین ماهیت مبهم و غیردقیق عوامل تصمیم گیری عملا قابل چشم پوشی نیست. در دنیای واقعی، تامین کنندگان معمولا یک تاخیر در پرداخت را برای خریداران و به منظور جلب توجه آن ها در نظر می گیرند. اما در ادبیات انتخاب تامین کننده به این موضوع چندان توجهی نداشته است. در این مقاله، برای نخستین بار در ادبیات موضوع، از تابع هدفی که ارزش فعلی خالص پول را برای خریدار در نظر می گیرد استفاده شده است.
    کلید واژگان: زنجیره ی تامین، انتخاب تامین کننده، برنامه ریزی چندمنظوره، فازی، تاخیر در پرداخت
    A. KAZEMI, M. DELDAR
    O n e o f t h e m a i n a n d m o s t i m p o r t a n t e l e m e n t s o f s u p p l y c h a i n m a n a g e m e n t i s t h e a p p r o p r i a t e s e l e c t i o n o f p r o p e r s u p p l i e r s i n a m a n n e r w h i c h g o e s w i t h t h e l o n g t e r m o b j e c t i v e s o f a n e n t e r p r i s e o r o r g a n i z a t i o n. T h e s u p p l i e r s e l e c t i o n p r o b l e m i s a m u l t i p l e c r i t e r i a d e c i s i o n m a k i n g p r o b l e m t h a t i s a f f e c t e d b y v a r i o u s f a c t o r s w h i c h a r e m o s t l y c o n f l i c t i n g. I n a m a j o r i t y o f c o m m e r c i a l a c t i v i t i e s, s u c h a s s u p p l i e r s e l e c t i o n, t h e i m p o r t a n c e o r w e i g h t s o f o b j e c t i v e s a n d c o n s t r a i n t s a r e n o t e q u a l f o r d e c i s i o n m a k e r s, a n d t h e c r i t e r i a s h o u l d b e w e i g h t e d s u b j e c t t o t h e s p e c i f i c s t a t u s a n d s i t u a t i o n s o f t h e p u r c h a s i n g a c t i v i t y. M o r e o v e r, i t i s i m p o s s i b l e t o d e t e r m i n e i n p u t d a t a c l e a r l y a n d d e t e r m i n i s t i c a l l y i n t h e r e a l w o r l d. I n s u c h c a s e s, f u z z y s e t s t h e o r y i s o n e o f t h e b e s t t o o l s t o f a c e t h e v a g u e n e s s a n d i m p r e c i s e n e s s. R e g a r d i n g f o r m e r s t u d i e s, t h e q u a l i t y o f p r o d u c t s a n d r a w m a t e r i a l s h a s b e e n c o n s i d e r e d a k e y c r i t e r i o n i n s u p p l i e r s e l e c t i o n f o r t h e b u y e r, w i t h r e s p e c t t o o t h e r f a c t o r s a f f e c t i n g t h e d e c i s i o n-m a k i n g p r o c e s s. I n a d d i t i o n t o t h e n e c e s s i t y o f m a x i m i z i n g t h e q u a l i t y l e v e l, c o n s i d e r i n g a n a c c e p t a b l e m i n i m u m l e v e l f o r q u a l i t y s e e m s t o b e e s s e n t i a l i n m o d e l i n g t h e p r o b l e m. R e g a r d i n g t h i s s u b j e c t i n t h e f o r m o f a c o n s t r a i n t, h e l p s t o s a t i s f y t h i s i s s u e p e r s i s t e n t l y. T a k i n g t h e a c c e p t a b l e q u a l i t y l e v e l c o n s t r a i n t i m p r e c i s e l y a n d h a v i n g a f u z z y f o r m i s o n e o f t h e n e w c o n c e p t s e x p l o r e d i n t h i s r e s e a r c h. B e s i d e s, i n t h e r e a l w o r l d, s e l l e r s o f t e n s u g g e s t a d e l a y p e r i o d i n p a y m e n t o f g o o d s s o l d t o e n c o u r a g e b u y e r s. I n s u c h s i t u a t i o n s, t h e b u y e r s a r e a b l e t o t a k e a d v a n t a g e o f r e c e i v i n g t h e i r r e q u e s t s a n d n o t p a y i n g t h e c o s t, w h i l e t h e s e l l e r s l o s e t h e i n t e r e s t o f t h e i r e a r n i n g d u r i n g t h i s p e r i o d. F r o m t h e v i e w p o i n t o f a b u y e r w h o s e l e c t s t h e s u p p l i e r s, m i n i m i z i n g t h e p r e s e n t v a l u e o f t h e c o s t s u p p o s e d t o b e p a i d i s e s s e n t i a l t o b e c o n s i d e r e d a s a n o b j e c t i v e f u n c t i o n i n m o d e l i n g t h e m u l t i o b j e c t i v e p r o b l e m s u p p l i e r s e l e c t i o n. F o r t h e f i r s t t i m e i n t h e l i t e r a t u r e, t h i s r e s e a r c h t r i e s t o d e v e l o p e x i s t i n g m o d e l s i n t h i s c o n t e x t, r e g a r d i n g t h e d e l a y i n o b t a i n i n g t h e p a y m e n t s o f b u y e r s a n d f o r m u l a t i n g i t i n t h e f o r m o f a N P V f u n c t i o n, a s w e l l a s c o n s i d e r i n g t h e f u z z y c o n s t r a i n t o f a n a c c e p t a b l e q u a l i t y l e v e l f o r e a c h s u p p l i e r. T h i s f u n c t i o n p o i n t s t o t h e p r e s e n t v a l u e o f m o n e y a n d m u s t b e m i n i m i z e d b e c a u s e o f i t s c o s t n a t u r e. A l s o, t h e m o d e l i s s o l v e d u t i l i z i n g m u l t i o b j e c t i v e p r o g r a m m i n g t e c h n i q u e s. F i n a l l y, t h e m o d e l i s i l l u s t r a t e d a n d s o l v e d i n a n u m e r i c a l e x a m p l e.
    Keywords: Supply chain, supplier selection, multi objective programming, delay in payment
نکته
  • نتایج بر اساس تاریخ انتشار مرتب شده‌اند.
  • کلیدواژه مورد نظر شما تنها در فیلد کلیدواژگان مقالات جستجو شده‌است. به منظور حذف نتایج غیر مرتبط، جستجو تنها در مقالات مجلاتی انجام شده که با مجله ماخذ هم موضوع هستند.
  • در صورتی که می‌خواهید جستجو را در همه موضوعات و با شرایط دیگر تکرار کنید به صفحه جستجوی پیشرفته مجلات مراجعه کنید.
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