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ارزیابی قابلیت اطمینان استراتژیهای مدیریت سهام در تقاضای وابسته
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 4 - تعداد صفحات فایل doc فارسی: 12
در این مقاله، یک رویکرد روش شناختی پیشنهاد شده که این رویکرد، امکان محاسبه کمیت سهام ایمنی در تقاضای وابسته را با توجه به الزامات قابلیت اطمینان زنجیره تامین فراهم می کند. انواع مختلف استراتژیهای مدیریت دارایی در تقاضای وابسته بررسی شد؛ نتایج کل محاسبه هزینه ها با توجه به قابلیت اطمینان بدست آمد.
کلید واژه ها: قابلیت اطمینان زنجیره تامین | مدیریت دارایی | تقاضای وابسته | نظم کامل
|مقاله ترجمه شده|
A metacognitive perspective on decision making in supply chains_ Revisiting the behavioral causes of the bullwhip effect
چشم انداز فراشناختی در مورد تصمیم گیری در زنجیره های عرضه: بازخوانی علل رفتاری اثر شکارچی-2017
Because supply chains are complex systems of interdependent subsystems, decisions by one partner can cause large and unpredictable system-wide effects, including the so-called “bullwhip” effect. The predominant approach to mitigating the bullwhip effect has been to provide additional information to supply chain members. However, recent research suggests that even the most information rich conditions lead decision makers to create the bullwhip effect. We propose an adaptive, learning perspective on supply chain decision making. Our model recognizes the key role of meta-decisions whereby decision makers decide whether or not to incorporate additional information into their decision making process based on the extent to which they understand cause and effect relationships. An experiment in which participants made orders in a simulated supply chain confirms that decision makers that felt they understood cause and effect relationships were more likely to incorporate relevant information into their decision processes, and thereby made better ordering decisions.
Keywords: Supply chain coordination | Information use |Inventory management |Cognition and reasoning
A Multi-objective, simulation-based optimization framework for supply chains with premium freights
چارچوب مببتنی بر شبیه سازی بهینه سازی چند هدفه برای زنجیره های تامین با کالاهای حق بیمه-2017
In this study, a multi-objective, simulation-based optimization framework is developed for supply chain inventory optimization. In this context, a supply chain consisting of a supplier and a number of plants is considered. The plants use a periodic-review order-up-to level policy and request premium freights from the supplier in case of a risky inventory position. Under this setting, the aim of the study is to determine supplier flexibility and safety stock levels that yield the best performance in terms of holding cost and premium freights. Accordingly, a decomposition-based multi-objective differential evolution al gorithm (MODE/D) is developed for the proposed framework. As the proposed framework considers both holding cost and premium freight performance, it enables the managers to determine the best tradeoff between the objectives. Consequently, managers have a broad decision spectrum in determining supplier flexibility and safety stock levels. The proposed framework is implemented to a real world multi-national automotive supply chain. Purposely, the results obtained by the proposed framework with MODE/D are compared with the results of non-dominated sorting genetic algorithm II (NSGA-II) and current operating condition of the supply chain. The results reveal that MODE/D yields better holding cost and premium freight performance than those of NSGA-II and current operating condition of the supply chain.
Keywords: Simulation-based optimization | Differential evolution | NSGA-II | Inventory management
Production and transportation outsourcing decisions in the supply chain under single and multiple carbon policies
تصمیمات برون سپاری تولید و حمل و نقل در زنجیره تامین تحت سیاست های تک و چندگانه کربن-2017
Cap-and-trade and carbon tax are the two main policies to reduce carbon emissions. Different from the previous literature and practice, this paper examines the production and transportation outsourcing problems of a two-echelon supply chain under the cap-and-trade policy and joint cap-and-trade and carbon tax policy. Enterprise operations are divided into the order stage and transportation outsourcing decision stage. In the order stage, the retailer sets his order schedule for the manufacturing plant for fulfillment, and in the transportation outsourcing decision stage, the manufacturer decides the optimal freight volume based on energy consumption. Furthermore, we construct a basic model without a carbon policy and two extended models with carbon policies and the optimal solutions of the models are solved. Numerical examples are provided, and the three models are compared. The results indicate that the extended model with carbon policies is more beneficial for emissions reduction, and the effect of emissions reduction gradually becomes smooth as the carbon price increases; the joint cap-and-trade and carbon tax policy is more effective for emissions reduction, especially when the carbon price is lower. These findings will be helpful to policy makers and managers.
Keywords:Inventory management | Production control | Transportation outsourcing | Carbon emissions | Carbon policy
Stochastic integrated manufacturing and remanufacturing model with shortage, rework and quality based return rate in a closed loop supply chain
مدل تولید یکپارچه و یکپارچه سازی مجدد با کمبود، کارآیی و نرخ بازگشت با کیفیت بر اساس یک زنجیره تامین حلقه بسته-2017
Over the last few decades, inventory management of produced, recovered, and returned items in the closed loop supply chain (CLSC) systems has been significantly taken into consideration. Most of available works in the literature assumed that manufactured and remanufactured items have the same quality. However in practices, some customers perceive remanufactured items as lower quality products rather than newly produced items. Therefore, this paper assumes demands for manufactured items and remanufactured ones are not same. This assumption causes lost sales in which there are shortage periods for both produced and reproduced items. In the real-life production systems, the generation of non conforming items is inevitable owing to deteriorating process or other uncontrollable factors. In order to take this issue into account, the production and reproduction processes are assumed to be imperfect as it can produce some defectives which would be reworked in the same cycles. Moreover, to make the study realistic, we assume the return rate of used items as a variable function which depends on the minimum acceptable quality level of returns. Furthermore, in this research the quality of returned items is considered as a random variable and based on this assumption, buyback cost, remanufacturing cost and salvage value depend on quality level of returned items. Basically, three different stochastic models, with different probability distribution functions, are mathematically developed for multiple manufacturing and remanufacturing cycles. A solution procedure is introduced and then there numerical studies are provided to show the applicability of the developed models and also to perform a sensitivity analysis. Finally, conclusion and future researches are presented.
Keywords:Closed-loop supply chain |Production |Remanufacturing|Lost sales |Defective items |Rework process
Supply chain solutions to improve the distribution of antiretroviral drugs (ARVs) to clinics in rural areas: A case study of the QwaQwa district
راه حل های زنجیره تامین برای بهبود توزیع داروهای ضد رتروویروسی (ARVs) به درمانگاه ها در مناطق روستایی: مطالعه موردی منطقه QwaQwa-2017
This article serves as a case study based on research that was performed in the QwaQwa district in the Free State Province where the distribution of ARVs to the regional Manapo hospital, as well as between the hospital and its peripheral clinics, was interrupted and inconsistent due to problems in the supply chain. An unreliable and interrupted ARV supply chain creates the risk of virus reactivation and eventual patient mortality. The objectives of the study were to explore the problems experienced with the ARV distribution practices at the Manapo hospital, and to recommend ways in which the dis tribution of ARVs can be improved so that patients can receive an uninterrupted supply. The nature of the topic researched dictated the use of mainly the quantitative research method. The main problems identified include: Wrong and no uniform practice of ordering stock by the hospital and the clinics; lack of reliable, structured transportation from the depot to the hospital; as well as poor inventory management and poor overall communication. Recommendations to address the problems include: Implementing a supply chain plan ning and design process; improving inventory management and warehousing practices; implementing more effective and reliable distribution and transportation processes; as well as improving supply chain coordination and overall communication. © 2016, The Authors. Publishing services by Elsevier B.V. on behalf of Johannesburg
Keywords:ARV distribution|Fixed order quantity policy|Inventory management|Supply chain management|Warehousing practice
Inventory management in a closed-loop supply chain with advance demand information
مدیریت موجودی در یک زنجیره تأمین با حلقه بسته با اطلاعات تقاضای قبلی-2017
We study inventory control for rental operations in a closed-loop supply chain. In such a system (e.g., Netflix), customers create online queues in a service provider’s website to indicate the items that they would like to rent. Leveraging this advance demand information, we propose effective forecast models and formulate a multi-item inventory control problem. We prove that the (L, U) policy is optimal in our multi-item setting. We also consider an aggregate service level constraint across all items and propose heuristics.
Keywords: Closed-loop supply chains | Multi-item inventory control | Online rental systems
Investigation of a consignment stock and a traditional inventory policy in a three-level supply chain system with multiple-suppliers and multiple-buyers
بررسی سهام انبار و یک سیاست انبوه سنتی در سه سطح سیستم زنجیره تامین با چند تامین کننده و چند خریداران-2017
This paper develops and investigates four coordination scenarios for a three-level supply chain system consisting of multiple suppliers, a vendor, and multiple buyers. One sce nario considers consignment stock (CS) agreements between the adjacent levels (suppliers vendor; vendor-buyers) in the supply chain. Another one considers traditional coordination policies (TP). The two remaining scenarios are combinations of the two; i.e., CS-TP and TP-CS. The scenarios also consider trade credit where an upstream player offers a delay in-payment to a downstream player. A scheme of equal-sized payments at equal intervals is adopted. Numerical examples are provided to compare between the scenarios and to study the effects of different cases of delay-in-payments on the total profit of the sys tem. A sensitivity analysis is performed to test the effects of varying some parameters on the system’s profit. The results showed that a combined coordination policy and paying post the due date return the highest system profit. The differences in the profits for the four scenarios were found to be insignificant under some conditions. This finding may give managers the flexibility to choose the one that is practical and serves its business better.
Keywords: Three-level supply chain | Inventory management | Consignment stock policy | Traditional policy
Optimizing a vendor managed inventory (VMI) supply chain for perishable products by considering discount: Two calibrated meta-heuristic algorithms
بهینه سازی مدیریت موجودی فروشنده (VMI) زنجیره تامین برای محصولات فاسد شدنی با در نظر گرفتن تخفیف: دو الگوریتم فرا ابتکاری کالیبره-2017
Vendor Managed Inventory (VMI) is one of the inventory management strategies that reduce costs, increase responsiveness and improve collaboration between the members of supply chain. Although the VMI can reduce response time and deterioration in perishable supply chain (PSC), but there is a few reports on using VMI for PSC. In this paper VMI strategy is used for managing the inventory of per ishable product at two-level supply chain with single vendor and multiple retailers. After passing a speci fic time of product lifetime that called the critical time, the product would be perished by a probability distribution function. It is probable that the inventory of product is not sold after the critical time, there fore the management system will use discount to stimulate demand. Then a proposed model is formu lated as a nonlinear programming model. The objective function of the proposed model is minimizing the total cost of supply chain including the cost of fixed ordering, holding, discount, and deterioration whereas replenishment cycles and order size for retailers and also production time needed to supply inventory of each retailer can be determined through the proposed model. Since the model is a NP-hard problem, a Genetic algorithm (GA) and a Particle Swarm Optimization (PSO) algorithm are developed for solving it appropriately and the results are presented that PSO algorithm has a better performance for solving of the proposed model in this paper. Taguchi method is an applied to calibrate the parameters of the algorithms into provide reliable solution. Finally, the conclusion and further research are presented.
Keywords: Vendor managed inventory | Perishable supply chain | Discount | Genetic algorithm |Particle swarm optimization
The effects of integrating management judgement into OUT levels: In or out of context?
اثرات یکپارچه سازی مدیریت قضاوت به سطوح OUT: در یا خارج از زمینه؟-2016
Physical inventories constitute a significant proportion of companies’ investments in today's competitive environment. The trade-off between customer service levels and inventory reserves is addressed in practice by statistical inventory software solutions; given the tremendous number of Stock Keeping Units (SKUs) that contemporary organisations deal with, such solutions are fully automated. However, empirical evidence suggests that managers habitually judgementally adjust the output of such solutions, such as replenishment orders or re-order levels. This research is concerned with the value being added, or not, when statistically derived inventory related decisions (Order-Up-To (OUT) levels in particular) are judgementally adjusted. We aim at developing our current understanding on the effects of incorporating human judgement into inventory decisions; to our knowledge such effects do not appear to have been studied empirically before and this is the first endeavour to do so. A number of research questions are examined and a simulation experiment is performed, using an extended database of approximately 1800 SKUs from the electronics industry, in order to evaluate human judgement effects. The linkage between adjustments and their justification is also evaluated; given the apparent lack of comprehensive empirical evidence in this area, including the field of demand forecasting, this is a contribution in its own right. Insights are offered to academics, to facilitate further research in this area, practitioners, to enable more constructive intervention into statistical inventory solutions, and software developers, to consider the interface with human decision makers.
Keywords: Judgemental adjustments | Inventory management | Behavioural operations