Sharif Digital Repository

This thesis is related to applying survey of scientific inventory control methods in Khoramshahr Oil Extraction Company (KHOEC). KHOEC is the producer of edible oils in I.R of Iran and is a subset of E.T.K.A holding organization. The inventory costs of high consuming items are studied and optimized based on the optimal ordering policy (r, Q). First, the company raw materials are identified and classified based on ABC analysis method. For developing the new method of inventory control, the demand for each item is predicted, and the probability distribution of demand during the lead time is determined. Then according to this information and the desired service level of management, order point... 

Inventory control has been always considered important due to its prominent role in managing and better application of resources in the field of operational systems. Ordering system or review stock policy in supply chain management can be mentioned as one of the inventory control study fields of management. A lot of researches have been done in investigating ordering system in supply chain under certainty conditions; however, since the real world is full of uncertainties, parameters such as demand cannot be predicted exactly and we encounter with ambiguity. In this case, using crisp (exact) values can cause to decide wrongly (a wrong decision). On the other hand, due to absence of sufficient... 

In this paper, we consider a three-echelon supply chain consisting of a producer, a distributor and a retailer. Generally each echelon tends to minimize his own inventory costs. On the other hand, competitive environment of business market, force companies to develop strategic alliances. In order to boost their partnership, separated echelons must integrate their policies, so that the total cost of the system be minimized. The model, extends the research of Wang et al.(2011) by changing the No shortage assumption into backlog shortage model.
This study assumes different deterioration rates among different echelons, and deterioration rates are time-sensitive, which is very helpful in... 

This thesis presents a location- inventory model for dual-channel supply chains .Dual-channel supply chains have two channels for sale the traditional in-store (retail) channel and the online (retail) channel.The model assigns online demands to the capacitated stores currently serving in-store demands. Keeping the delivery network of the in-store demands unchanged, the model aims at minimizing the summation of transportation cost, inventory cost, and fixed handling cost in the system while assigning the online demands. We assume that at the beginning of each period a distribution center which just distributes products to the stores, follows an order-up-to policy which increases the total... 

In this thesis, we study a queuing system with one server in which customers differ in both sensitivity to delay and willingness to pay. In this system, the server’s goal is to design a mechanism in order to maximize her revenue. It is worth to mention that nonlinear delay cost is implemented.Making use of the achievable region approach, we show that a well-designed menu of probabilistic admission control along with priority pricing contracts, may force customers to reveal their true valuations and at the same time induce customers that are more sensitive to delay to opt for higher priorities. Thus, the probabilistic admission control allows the server to identify the customers that are... 

The assumption of infinite lifetime is common in most of the inventory models. However, the perishability of products is a major problem of some industry sectors in which by disregarding the finite lifetime of their products the resulting model may give inaccurate results. Although, significant studies have been carried out for inventory control of perishable products, yet the literature needs more studies to develop or optimize the inventory policies. In this thesis, the inventory control of perishable products is considered. For the case of stochastic demand, it was well known that there is no inventory control policy in which both the order size and the order interval are constant with an... 

This thesis presents an inventory control system which is based on Meta-heuristic Algorithms.In this thesis we will optimize the input values of our tree-echelon inventory model (keeping costs,stock worth,reorder costs,...) with these Algorithms. The presented method is able to determine the optimal stock level, costs of system and number of shipments in the system. The method is basically a decision support system (DES) and it is able to provide the order scheduling parameters of goods at operational level. The aim of the current research is to demonstrate that a Meta-heuristic algorithmis capable of solving complex inventory problems and with future improvements it is able to achieve... 

Dealing with uncertainty in demand, Seasonal product retailers have to make two important decisions. The first one is pricing of the products during their selling season and the second issue is the inventory level and also reordering decisions during the aforementioned period. It is worth mentioning that all products are using a shared capacity which left us barehanded with the pricing and optimizing inventory levels independently. In this thesis, a new model for retailers is presented which includes demand learning and determines optimal prices and inventory policies for multiproduct industries  

In this research, we study the differences between the centralized and decentralized approaches in a two-stage serial supply chain including a manufacturer and a retailer under the lost sale policy. The centralized approach results in optimal solution of the system and the decentralized one is based on Stackelberg game in which the manufacturer is the leader. The retailer uses the continuous review (r, Q) policy and the demand arrives according to the stationary Poisson process. In order to obtain the solution for two approaches, a set of computational steps are developed. Furthermore, we provide a numerical example and the corresponding sensitivity analysis to compare the two approaches.... 

In this thesis, we consider various Make-to-Order systems as a version of integrated production-inventory systems. Most Make-to-order systems can be sufficiently modeled by a queueing system with inventory in which completing each service in the queueing system requires an on-hand inventory. Unlike most researches in this field, we present an analytical approach. In all systems we embed a stochastic process with joint state space that can entirely describe the state of system. Then steady state distributions are derived. Those distributions are applied to compute performance measures and long-run average cost function which can be used for optimization. In our Make-to-Order models, demands... 

Embedded system Project management , because of lots of unstable parameters in design and also diversity of the technical knowledge ,requires a complex and agile project management methodology. Whereas in these projects , different knowledge fields are applied (such as electronics ,telecommunication ,control and robotics) and software is an evitable part of these systems ,project managers can not be familiar with all aspects of the technical and professional in deep manner. Considering that usually ,the project managers of such projects are elected from professionals of hardware or mechanical sections and not in deep inception of software project management , this thesis focus on a new model... 

Nowadays competition in business world has increased drastically. Under these competitive circumstances, it is the supply chains that compete against each other rather than individual firms. Accordingly trying to achieve integrated and synchronized management of activities within a supply chain has become inevitable. Recently researchers have found interest in a particular problem in a supply chain and that is to minimize inventory and routing costs in a supply chain. This problem is known as Inventory Routing Problem (IRP) and has been intensely examined in past few years. In this thesis we will try to expand this well-known problem in pricing dimension. We call this new problem “Inventory... 

In this study, I examined a two-level supply chain with two-way information exchange in which both the manufacturer and the retailer will be informed of each other’s stock.In order to make use of this type of information exchange, the manufacturer and the retaile modify their single-level base-stock policy to a two-level, state-dependent base-stock policy.Later, I exerted the lost sale policy. And finally, I investigated the impact of this type of information exchange on the general chain criteria. Then, I point out the advantages of this method.
Applying the mentioned method reduces the total cost of system as well as decreasing the average amount of manufacturer’s inventory along with... 

It has been passed more than half a century from the application of value methodology (including value analysis, value engineering, value management and value planning) to improve the project value and so far, thousands of value studies (VSs) have been performed all over the world. Because of the nature of this method, in all of data value studies, new approaches and valuable knowledge – which is called “study outcomes (OS)” in this study – are produced by specialists. However, nearly all of the new VSs as well as planning, designing or performing of new project is performed regardless of previous VS repeatable outcomes whereas presence of some previous VS members can be useful to enhance... 

In this research , we consider a two-echelon system including one supplier , one vendor and some buyers. Every buyer has a distinct and uniform demand . The policy for ordering is (r,q) and shortage is not permitted. Buyers have no dependence on each other and every buyer orders it's demand from the vendor by itself . Hence, the vendor will be faced with discrete and different demands. Considering these assumptions, we use vendor management inventory and determine the order quantities for buyers and vendor in order to minimize the total cost of system  

This thesis deals with the financial risk management and coordination of supply chain members. To investigate this issue, two echelon supply chain consisting of one manufacturer and one retailer with a newsvendor inventory policy for a period is considered. The mathematical modeling has been used to find the exact answer. MATLAB software for solving and scenario generation is used for the analysis. In the proposed method, financial risk management, partial trade credit policy, coordination of supply chain members and cash discount for retailers, have been considered. According to the proposed method, the manufacturer can determine immediate payment at the start of the trade credit period... 

In this research, effect process TOC in MRP system have been studied,therefore, first the hypothesis in TOC process and MRP system have been studied and generated. Afterward, whit the use of library and sydies the research guestions have been compiled. The society under studyis an aluminium oasts manufacturing daycust tabriz company. For surveying the memtioned company, samed documents hase been studied. After gathering all information and documents, and analyzing them, the result has been revealed. Therefore the effect of TOC and MRP process an production system has been comeout. At present situation, the mast crucial factors for suruival and compdtetion are ones couse the reduction of the... 

In today’s competitive world, using an efficient forecast method is necessity for companies. To now, many forecast methods have been developed, but many of them have not an expected efficiency. In this research, we develop a new hybrid forecast method with application of forecasting retails demand. The hybrid method is the combination of ARIMA method and neural networks. To test the efficiency of the method we use the 96 weeks data of plastic containers demand. We also comprise the hybrid method with other forecast methods including naïve method, ARIMA method and neural network method by applying root mean square error and mean absolute percentage error indexes. In the case of plastic... 

Project is defined as all activities with a definite beginning (start) and end (finish) aiming to achieve a defined target through defined resources. Literature reviews in the field of project management have shown the importance of project management capabilities for evaluation and optimization. There are many factors in project management which can lonely disrupt the timing and progress of the project. One of the most important factors that in effective and unfortunately has been less measured due to its intangible characteristic in the project is known to be the "human factor". This factor is involved from the first day a project starts and will continue till the end of the project.... 

During recent years a variety of decision making models for project selecting and priorities have been developed. Most of these models used quantitative indicators for projects evaluating and focused on financial and economic indicators. In this project, a decision support system for project portfolio management in construction industry has been developed. The most important feature of this model that distinct it from others is its relationship with the organization's strategies. On one hand, this model focuses on the organization to ensuring that the projects selected for investment, meet the portfolio strategy and on the other hand, it focuses on project management to delivering projects...