List of Articles Multi-Objective Decision Making

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  1 - Using MODEA and MODM with Different Risk Measures for Portfolio Optimization
  Sarah Navidi Mohsen Rostamy-Malkhalifeh Shokoofeh Banihashemi
  10.22034/amfa.2019.1864620.1200
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  2 - The Use of Fuzzy Multi-Objective Decision-Making Process to Provide Project Risk Assessment Model (Azar Oil Well Drilling)
  Mohammad Reza Imani Moghadam Mohammad Khalil Zadeh
  Project risk management in projects, illustrate the importance of risk ranking and prioritizing to focus more on the management of higher risk activities; in other words, activities are prioritized and ranked based on the risk of their performance.In this study, it has More

  Project risk management in projects, illustrate the importance of risk ranking and prioritizing to focus more on the management of higher risk activities; in other words, activities are prioritized and ranked based on the risk of their performance.In this study, it has been tried to use a multi-objective fuzzy planning in order to assess the potential risks of the project. To optimize these models, several objectives simultaneously are considered. The scale for each purpose may be different from the scale for the other purposes. In this model we have two aims: The first one is to minimize the expected cost of various risks and the second one is to minimize the expected time of the possible risks.A proposed method for a case study in Azar oil well drilling project in the region of Ilam is used. We have solved the model by the means of multi-objective decisions and LP metric. In LP metric method, we minimized the deviation in answers compared to ideal answer using the compatible functions and we changed the bi-objective model into single-objective one.   Manuscript profile
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  3 - A New Approach for Solving Multi-layered Facility Location Models under Uncertainty Using fuzzy Simulation
  Mahdi Yousefi Nejad Attari Saeed Kolahi-Randji Ensiyeh Neyshabouri Jami
  Different systems have complex behaviors associated with the uncertainty of an important loss issue. Integration of discrete event systems in order to incorporate the uncertainty presented with the theory of fuzzy collections. Multi-layer facility location models have c More

  Different systems have complex behaviors associated with the uncertainty of an important loss issue. Integration of discrete event systems in order to incorporate the uncertainty presented with the theory of fuzzy collections. Multi-layer facility location models have complex behavior. In this model, customers receive different services in different layers addressing. The study seeks to provide a facility location models with multiple layers of serving and taking into account the density of the system. The proposed model is for a fuzzy nine linear programming model and it is placed in the field of highly complex issues. In order to solve the mathematical model, fuzzy simulation approaches have been used. In this regard, the applicant is to facilitate functions such as minimizing the travel and waiting time in the queue is the applicant. It is noted that after the implementation, the basic models and scenarios created and Arena software results of fuzzy been ranked. Manuscript profile
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  4 - A Two-echelon Multi-objective Hybrid Model for Single-Vendor Multiple-Retailer Vendor Management Inventory Problem by using Two Pareto-based Multi-objective Meta-heuristic Algorithms
  Mostafa Hoseinnezhadi Alireza Irajpur
  In this research, a mathematical model for VMI is studied. One goal is to reduce inventory costs in a two-level supply chain, while other goals consider enabling the system and help making decisions in possible demand situations and delivery times, and increasing the le More

  In this research, a mathematical model for VMI is studied. One goal is to reduce inventory costs in a two-level supply chain, while other goals consider enabling the system and help making decisions in possible demand situations and delivery times, and increasing the level of service and quality, while reducing the costs of increasing the service level. However, to gain more performance in real world problems, constraints exist, e.g. the lack of a low service level, warehouse space, budget, moving capacity, and total integrated discount. In this research, the shipments are assumed to be non-identical, and shortages are considered in two classes: lag and lost sales. Because the achieved model type is of nonlinear integer planning type and an NP-hard problem, meta-heuristic solutions should be used. Regarding two-goal minimization based on reducing total inventory cost, taking possible demand, delivery times, the non-homology of shipments into account, and also shortage and discount, to find the amount of product order and the product shortage level, the achieved model is solved using the required algorithms and tools. Regarding inventory management at two levels of seller and retailer, problems occur containing constraints. Finally, this research aims to obtain inventory management mathematical model by seller in the supply chain in conditions (such as one retailer-one seller, and one seller-multiple retailers), and to provide a solution during uncertainty, non-homology of shipments, when the shortage of lag and lost sales is permitted, and total discount. Manuscript profile
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  5 - A Bi-Objective Airport Gate Scheduling with Controllable Processing Times Using Harmony Search and NSGA-II Algorithms
  Morteza khakzar Bafruei Sananz khatibi Morteza Rahmani
  10.22094/joie.2018.234
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  6 - ارائه مدلی جهت تخصیص سفارش به تأمین‌کنندگان در شرایط تخفیف حجمی
  امیر امینی علیرضا علی نژاد بهزاد نوریزاد
  انتخاب تأمین‌کننده یک مسأله تصمیم‌گیری چندمعیاره است که هم فاکتورهای کمی و هم فاکتورهای کیفی را شامل می‌شود. به منظور انتخاب بهترین تأمین‌کننده نیاز به برقراری موازنه‌ میان فاکتورهای ملموس و غیر ملموسی است که برخی از آنها ممکن است با هم در تضاد باشند. هنگامی که شرایط تخ More

  انتخاب تأمین‌کننده یک مسأله تصمیم‌گیری چندمعیاره است که هم فاکتورهای کمی و هم فاکتورهای کیفی را شامل می‌شود. به منظور انتخاب بهترین تأمین‌کننده نیاز به برقراری موازنه‌ میان فاکتورهای ملموس و غیر ملموسی است که برخی از آنها ممکن است با هم در تضاد باشند. هنگامی که شرایط تخفیف حجمی مطرح باشد، این مسأله قدری پیچیده‌تر می‌شود، در این تحقیق یک مدل برنامه‌ریزی چندهدفه جهت تخصیص سفارش به تأمین‌کنندگان‌ در شرایط تخفیف حجمی ارائه گردیده است. این مدل در حالت چند محصولی، با در نظر گرفتن معیارهای چندگانه و با محدودیت‌های ظرفیت تأمین‌کننده ارائه شده است. در این خصوص تأمین‌کنندگان تخفیفات قیمت را بر اساس حجم معامله پیشنهاد می‌دهند. الگوریتم حل مدل چند هدفه ارائه گردیده و این مدل با استفاده از یک مثال عددی نشان داده شده است. Manuscript profile
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  7 - A weighted metric method to optimize multi-response robust problems
  R Noorossana M Kamali Ardakani
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  8 - Lexicographic goal programming approach for portfolio optimization
  H Babaei M Tootooni K Shahanaghi A Bakhsha
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  9 - Determining maintenance system requirements by viewpoint of availability and lean thinking: A MODM approach
  S Ghayebloo H Babaei
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