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A genetic algorithm approach to optimize a multi-products EPQ model with discrete delivery orders and constrained space
, Article Applied Mathematics and Computation ; Volume 195, Issue 2 , 2008 , Pages 506-514 ; 00963003 (ISSN) ; Akhavan Niaki, S. T ; Sharif University of Technology
2008
Abstract
The economic production quantity (EPQ) is one of the most applicable model in production and inventory control environments. Like other classical production and inventory control models, it is derived based upon assumptions that cause limited real-world applications. Continuous and constant-rate delivery of orders, infinite availability of warehouse spaces, and applicability on a single product are some of these assumptions. In order to make the EPQ model more applicable to real-world production and inventory control problems, in this paper, we expand this model by assuming that the orders may be delivered discretely in the form multiple pallets. In addition, we may have more than one...
Joint Inventory Planning and Bundle Pricing with Considering Customer Behavior
, M.Sc. Thesis Sharif University of Technology ; Shavandi, Hassan (Supervisor)
Abstract
In this study, we consider a newsvendor problem. The newsvendor in addition to determine order quantities must also determine the selling price of each product. The demand of each product is of a stochastic nature and depends on the selling price. It is assumed that products are cross-elastic. We also assume that retailers want to apply mixed bundling strategy. It means that in addition to selling products separately, they sell them as bundles. Two types of two-steps algorithms (p-constant, q-constant) were proposed. First we applied these algorithms for newsvendor problem with 2 single products and 1 bundle. After demonstrating its efficiency, algorithms were developed for solving problems...
Multi-Mode Multi-period Hub Location Allocation Problem
, M.Sc. Thesis Sharif University of Technology ; Akbari Jokar, Mohammad Reza (Supervisor)
Abstract
This paper studies a multi-product, multi-period, multi-allocation hub location problem based on real case in domestic automotive industry. As 3PL companies spread, using dynamic hubs in a contractual manner becomes passible; So in this paper the hub set is the combination of both static and dynamic hubs. The nodes are suppliers, sites and dealers of a supply chain that have certain demand of each product in each period. In this problem backlogging is allowable and causes penalty. Different transportation modes like road and railroad are usable just in hub network. Direct transmission is possible and candidate hubs are capacitated with multi suggested capacities. A mixed integer programming...
A Multi-Product Scheduling Model Focusing on Logistic Service Sharing in Cloud Manufacturing Systems
, M.Sc. Thesis Sharif University of Technology ; Fatahi Valilai, Omid (Supervisor)
Abstract
Cloud computing is a service-driven business model that connects distributed resources and allows multiple service demaders to submit requests simultaneously to a cloud platform via the Internet. An important issue in cloud environments is how to allocate tasks to optimize the performance of a cloud manufacturing system. Allocation of tasks in cloud manufacturing refers to the process of selecting and assigning service providers to manufacturing resources such as design, engineering, machining, testing, and packing to achieve the satisfaction level in terms of time, cost, service availability, and other quality service criteria. Task allocation is an intrinsic part of the cloud manufacturing...
Cooperative supply chain management using a grid-based optimizer
, Article Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010, 29 October 2010 through 31 October 2010 ; October , 2010 , Pages 1300-1305 ; 9781424464814 (ISBN) ; Najmi, M ; Fayazbakhsh, K ; Sharif University of Technology
2010
Abstract
A cooperative supply chain seeks to coordinate its members to produce and distribute products along the chain, for minimum overall costs to satisfy customer demand. An integrated multi-period, multiple product and multiple stage supply chain is formulated using a flow networks framework. A Cooperative Supply Chain Optimizer (CSCO), as a central software entity taking advantage of Grid technology, connects and gathers necessary operational information from members of the corporate supply chain. The CSCO then guides supply chain members on ordering decisions, for a minimum overall cost of the entire supply chain, while continuously re-directing the members as new data becomes available. The...
A Corporate Supply Optimizer with flow network
, Article Scientia Iranica ; Volume 17, Issue 1 E , June , 2010 , Pages 70-83 ; 10263098 (ISSN) ; Fayazbakhsh, K ; Ghasemzadeh, F ; Sharif University of Technology
2010
Abstract
A holding or a multi-business corporate seeks to coordinate its supply for minimum overall costs. A Corporate Supply Optimizer (CSO), as a central entity taking advantage, of the notion of flow networks, gathers necessary operational information from members of the corporate supply chain. The CSO then guides supply chain members on ordering decisions for a minimum overall cost for the entire supply chain. Its computational engine models the entire supply chain with multiple members in four stages to satisfy customer demand. The CSO seeks a solution with minimum total costs, unlike noncooperative supply chains where individual members compete, to optimize, their local costs. The existing...