فهرست مقالات vendor managed inventory

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  1 - ارائه مدل ترکیبی چند هدفه دوسطحی برای مساله مدیریت موجودی یک فروشنده و چند خرده فروش با استفاده از دو الگوریتم فرا ابتکاری چندهدفه مبتنی بر پارتو
  مصطفی حسین نژادی علیرضا ایرج پور
  در این پژوهش یک مدل ریاضیVMI ارائه خواهد شد. یک هدف مبنی بر کاهش هزینه های موجودی کالاها در زنجیره تامین دوسطحی است و هدف‌های دیگر به دنبال توانمندسازی سیستم و کمک به تصمیم گیری در شرایط تقاضای احتمالی و زمان های تحویل احتمالی و همچنین افزایش سطح خدمت و کیفیت و نیز کاهش چکیده کامل

  در این پژوهش یک مدل ریاضیVMI ارائه خواهد شد. یک هدف مبنی بر کاهش هزینه های موجودی کالاها در زنجیره تامین دوسطحی است و هدف‌های دیگر به دنبال توانمندسازی سیستم و کمک به تصمیم گیری در شرایط تقاضای احتمالی و زمان های تحویل احتمالی و همچنین افزایش سطح خدمت و کیفیت و نیز کاهش هزینه های افزایش سطح خدمت خواهد بود. همچنین، برای کارایی بیشتر در مسائل دنیای واقعی محدودیت هایی مانند وجود کمبود و سطح خدمت، فضای انبار، بودجه، ظرفیت انتقال، و نیز تخفیف کلی خواهیم داشت. محموله ها غیرهمسان فرض شده و کمبودها به دو صورت پس افت و فروش از دست رفته در نظر گرفته می شوند. ازآنجا که مدل به دست آمده از نوع برنامه ریزی عدد صحیح غیرخطی و اینکه مساله Np-Hard است، لذا باید از روش‌های حل فرا ابتکاری استفاده نمود. در آخر هدف این پژوهش ارایه مدل ریاضی مدیریت موجودی توسط فروشنده در زنجیره تامین در حالت هایی همچون یک خرده فروش - یک فروشنده، یک فروشنده – چند خرده فروش همراه با ارائه راه حل در شرایط عدم قطعیت و غیر همسان بودن محموله‌ها با مجاز بودن کمبود پس افت و فروش از دست رفته با تخفیف کلی است. پرونده مقاله
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  2 - A Bi-objective Optimization for Vendor Managed Inventory Model
  Amir Hossein Niknamfar Seyed Hamid Reza Pasandideh
  Vendor managed inventory is a continuous replenishment program that is designed to provide major cost saving benefits for both vendors and retailers. Previous research on this area mainly included single objective optimization models where the objective is to minimize t چکیده کامل

  Vendor managed inventory is a continuous replenishment program that is designed to provide major cost saving benefits for both vendors and retailers. Previous research on this area mainly included single objective optimization models where the objective is to minimize the total supply chain costs or to maximize the total supply chain benefits. This paper presents a bi-objective mathematical model for single-manufacture multi-retailer with multi-product in order to maximize their benefits. It is assumed that demand is a decreasing and convex function of the retail price. In this paper, common replenishment cycle is considered for the manufacturer and its retailers. Then, the proposed model converts to the single-objective optimization problem using a weighted sum method. A genetic algorithm (GA) is applied to solve it and response surface methodology is employed to tune the GA parameters. Finally, several numerical examples are investigated to demonstrate the applicability of the proposed model and solution approach. پرونده مقاله
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  3 - Vendor Managed Inventory of a Supply Chain under Stochastic Demands
  Tahereh Poorbagheri Seyed Taghi akhavan niaki
  In this research, an integrated inventory problem is formulated for a single-vendor multiple-retailer supply chain that works according to the vendor managed inventory policy. The model is derived based on the economic order quantity in which shortages with penalty cost چکیده کامل

  In this research, an integrated inventory problem is formulated for a single-vendor multiple-retailer supply chain that works according to the vendor managed inventory policy. The model is derived based on the economic order quantity in which shortages with penalty costs at the retailers` level is permitted. As predicting customer demand is the most important problem in inventory systems and there are difficulties to estimate it, a probabilistic demand is considered to model the problem. In addition, all retailers are assumed to share a unique number of replenishments where their demands during lead-time follow a uniform distribution. Moreover, there is a vendor-related budget constraint dedicated to each retailer. The aim is to determine the near optimal or optimal order quantity of the retailers, the order points, and the number of replenishments so that the total inventory cost of the system is minimized. The proposed model is an integer nonlinear programming problem (NILP); hence, a meta-heuristic namely genetic algorithm (GA) is employed to solve it. As there is no benchmark available in the literature to validate the results obtained, another meta-heuristic called firefly algorithm (FA) is used for validation and verification. To achieve better solutions, the parameters of both meta-heuristics are calibrated using the Taguchi method. Several numerical examples are solved at the end to demonstrate the applicability of the proposed methodology and to compare the performance of the solution approaches. پرونده مقاله
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  4 - A parameter-tuned genetic algorithm for vendor managed inventory model for a case single-vendor single-retailer with multi-product and multi-constraint
  javad sadeghi ahmad sadeghi mohammad Saidi mehrabad
  This paper develops a single-vendor single-retailer supply chain for multi-product. The proposed model is based on Vendor Managed Inventory (VMI) approach and vendor uses the retailer's data for better decision making. Number of orders and available capital are the cons چکیده کامل

  This paper develops a single-vendor single-retailer supply chain for multi-product. The proposed model is based on Vendor Managed Inventory (VMI) approach and vendor uses the retailer's data for better decision making. Number of orders and available capital are the constraints of the model. In this system, shortages are backordered; therefore, the vendor’s warehouse capacity is another limitation of the problem. After the model formulation, an Integer Nonlinear Programming problem will be provided; hence, a genetic algorithm has been used to solve the model. Consequently, order quantities, number of shipments received by a retailer and maximum backorder levels for products have been determined with regard to cost consideration. Finally, a numerical example is presented to describe the sufficiency of the proposed strategy with respect to parameter-tuned by response surface methodology (RSM). پرونده مقاله