A Dynamic Supply Chain Inventory Model Considering Supplier Selection Joint Replenishment And Transportation Cost
DOWNLOAD
Download A Dynamic Supply Chain Inventory Model Considering Supplier Selection Joint Replenishment And Transportation Cost PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Dynamic Supply Chain Inventory Model Considering Supplier Selection Joint Replenishment And Transportation Cost book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
A Dynamic Supply Chain Inventory Model Considering Supplier Selection Joint Replenishment And Transportation Cost
DOWNLOAD
Author : Chenxi Li
language : en
Publisher:
Release Date : 2015
A Dynamic Supply Chain Inventory Model Considering Supplier Selection Joint Replenishment And Transportation Cost written by Chenxi Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Companies currently face fierce global competition and so they must improve their supply chain efficiency. The development of appropriate decision support tools is important to enable such improvements. The thesis presents a multi-period inventory lot-sizing model for multiple products in a serial supply chain, where raw materials are purchased from multiple suppliers at the first stage, and external demand from vendors occurs at the last stage. Joint replenishment is considered when ordering raw materials. The demand is known and may change from period to period. Stages of this production-distribution serial structure correspond to inventory locations. The first two stages stand for storage areas holding raw materials and finished products in a manufacturing facility; additional intermediate stages represent either manufacturing facilities or centralized warehouses. The last stage is a distribution center that directly serves customer demand. The problem is modeled as a time-expanded transshipment network, which is defined by the nodes and arcs that can be reached by feasible material flows. At first, an integrated approach model aimed at minimizing total cost of the entire supply chain is developed to determine dynamic supplier selection and inventory planning policy at the same time. In addition, a sequential approach model is developed so that inventory planning policy is solved first, and supplier selection strategy is obtained according to that. A comparison between integrated and sequential approaches is shown in the thesis; sensitivity analysis on key factors for the integrated model is presented as well. Results show that total cost is reduced under integrated approach, while major and minor ordering costs, and transportation cost are important for supplier selection under the integrated approach.
Dynamic Supply Chain Inventory Planning Models Considering Supplier Selection And Transportation Costs
DOWNLOAD
Author : Victor A. Valdebenito Candia
language : en
Publisher:
Release Date : 2010
Dynamic Supply Chain Inventory Planning Models Considering Supplier Selection And Transportation Costs written by Victor A. Valdebenito Candia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Supply Chain Inventory Models Considering Supplier Selection And Price Sensitive Demand
DOWNLOAD
Author : Hamza Adeinat
language : en
Publisher:
Release Date : 2016
Supply Chain Inventory Models Considering Supplier Selection And Price Sensitive Demand written by Hamza Adeinat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
The purpose of this research is to develop supply chain inventory models that simultaneously coordinate supplier selection and pricing decisions for a range of retailing situations. The selection of appropriate suppliers plays an important role in improving companies purchasing performance. Many researchers and firms have studied the supplier selection problem without taking into account the price-sensitive nature of the demand for certain products. A products selling price has a significant impact not only on a companys ability to attract consumers, but also on its strategic decisions on matters such as supplier selection that are taken at the upstream stages of the supply chain. In this dissertation, we start with the development of a new mathematical model for the supplier selection problem that refines and generalizes some of the existing models in the literature. We propose a mixed integer nonlinear programming (MINLP) model to find the optimal inventory replenishment policy for a particular type of raw material in a supply chain defined by a single manufacturer and multiple suppliers. Each supplier offers an all-unit quantity discount as an incentive mechanism. Multiple orders can be submitted to the selected suppliers within a repeating order cycle. We initially assume the demand rate to be constant. The model provides the optimal number of orders and corresponding order quantities for the selected suppliers such that the replenishment and inventory cost per time unit is minimized under suppliers capacity and quality constraints. Then, we extend the model to simultaneously find the optimal selling price and replenishment policy for a particular type of product in a supply chain defined by a single retailer and multiple potential suppliers. Hence, we replace the manufacturer with a retailer subject to a demand rate considered to be dependent on the selling price. We propose an MINLP model to find the optimal order frequency and corresponding order quantity allocated to each selected supplier, and the optimal demand rate and selling price such that the profit per time unit is maximized taking into consideration suppliers limitation on capacity and quality. In addition, we provide sufficient conditions under which there exists an optimal solution where the retailer only orders from one supplier. We also apply the KarushKuhnTucker conditions to investigate the impact of the suppliers capacity on the optimal sourcing strategy. The results show that there may exist a range of capacity values for the dominating supplier, where the retailers optimal sourcing strategy is to order from multiple suppliers without fully utilizing the dominating suppliers capacity.Next, we study the integrated pricing and supplier selection problem in a two-stage supply chain that comprises a manufacturer stage followed by a retailer stage, both controlled by a single decision-maker. The manufacturer can procure the required raw material from a list of potential suppliers, each of which has constraints in regard to capacity and quality. In this model, the manufacturer periodically replenishes the retailers inventory, the demand for which is proving to be price-sensitive. We propose an MINLP model designed to determine the optimal replenishment policy for the raw material, the optimal amount of inventory replenished at each stage, and the optimal final products selling price at which the profit per time unit is maximized. Additionally, we provide upper and lower bounds for the optimal selling price and for the manufacturers lot size multiplicative factor, which result in a tight feasible search space.Next, we propose an MINLP model to extend the prior model by considering a serial supply chain controlled by a decision-maker responsible for maximizing the profit per time unit by determining the following: the optimal amount of raw material to order from the selected suppliers, the optimal amount of product to transfer between consecutive stages in order to avoid any inventory shortage, and the optimal final products selling price. Coordinating all these decisions simultaneously is a topic that has been neglected in literature. In addition, our model requires the order quantity received from each selected supplier to be an integer multiple of the order quantity delivered to the following stage, which means that a different multiplicative factor can be assigned to each supplier. This coordination mechanism shows an improvement in the objective function compared to those of existing models that assign the same multiplicative factor to each selected supplier. Moreover, we develop a heuristic algorithm that generates near-optimal solutions. A numerical example is presented to illustrate the proposed model and the heuristic algorithm.
Coordinated Supplier Selection Inventory Replenishment And Pricing Decisions In Supply Chain Management
DOWNLOAD
Author : Lisha Duan
language : en
Publisher:
Release Date : 2018
Coordinated Supplier Selection Inventory Replenishment And Pricing Decisions In Supply Chain Management written by Lisha Duan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Given the popularity of inventory models with supplier selection, this research aims to develop mathematical models for the integrated procurement, inventory planning, and pricing problems in the presence of multiple capacitated suppliers and price-sensitive demand in supply chains, simultaneously determining the selling pricing and inventory policy under a variety of supply contracts. We starts with the development of an operational planning model in a demand-driven serial supply chain with multiple capacitated suppliers. Taking into account delivery time and order frequency, the suppliers offer a novel price break scheme, which is beneficial to both the supplier and the buyer. A mixed-integer linear programming (MILP) formulation is developed to address this dynamic supplier selection and inventory management model aiming at minimizing the overall incurred cost across the entire supply chain with capacity constraints in production, inventory, and transportation. Then, the length of the time period is considered as a variable. A new MILP formulation is derived when each period of the model is split into multiple sub-periods, and under certain conditions, it is proved that the optimal solution and objective value of the original model form a feasible solution and an upper bound for the derived model. Sufficient evidence demonstrates that the length of the time period has a significant influence on supplier selection, lot sizing allocation, and inventory planning decisions. Then, we investigate joint decision making of supplier selection, pricing, and inventory lot-sizing in a two-stage supply chain, where suppliers feature certain capacity and quality levels and the retailer faces a price-sensitive demand, characterized by the logit function. Multiple orders can be placed to potential suppliers within a repeating order cycle. The retailer purchases the items satisfying a lower bound on the average quality level to meet customer demand. In this context, we develop a mathematical model to find an optimal solution for the selling price and inventory replenishment policy, including the set of selected suppliers, order frequency, and order quantity. We further derive a lower bound on the optimal retail price and based on a two-stage piecewise linear approximation (PLA) technique, we develop heuristic algorithms to yield near-optimal solutions to the proposed model. Besides, we provide sufficient justification for the selection of the logit demand function as well as a comparison with other demand functions. A numerical study further suggests the importance of using a precise demand curve to select the set of suppliers, coordinate inventory, and accurately optimize the profit function. Next, we extend the joint pricing, supplier selection and inventory replenishment model to a serial supply chain with multiple stages in a centralized control scenario. Within this supply chain, the first stage faces a supplier selection decision for a particular product that experiences a price-sensitive demand. The buying stage needs to decide which suppliers to choose and how to allocate orders, determining the optimal inventory policy for all stages and the retail price to offer to end customers, while maximizing the total profit of the supply chain. The problem is formulated as a mixed integer nonlinear programming (MINLP) model and a heuristic algorithm is proposed to overcome the complexity of the model. Then, we analyze a special case that considers only one uncapacitated supplier and one buyer. An efficient heuristic is developed and computational experiments are carried out to examine the performance of the proposed heuristics. In addition, we provide a series of numerical examples to illustrate our results and analyze the impact of the parameters within a sensitivity analysis. Finally, we study a pricing and purchasing problem in a two-stage supply chain with one supplier and one retailer, where the retailer faces the price-sensitive demand and the supplier coordinates the supply chain with controllable delivery deviation. Both the retailers demand and the suppliers lead time are stochastic. A risk sharing supply contract is adopted and the supplier compensates the retailer by paying a portion of penalties for early/late delivery. In this direction, we establish a model with a game-theoretic approach to achieve supply chain coordination, simultaneously determining the retailers selling price, order quantity, and order date as well as the suppliers lead time variance. Besides, the models with respect to the constant delivery deviation are also developed and analyzed. Finally, a numerical example is presented and sensitivity analysis regarding the pricing and penalty parameters provide in-depth managerial insights for decision makers.
Dynamics In Logistics
DOWNLOAD
Author : Michael Freitag
language : en
Publisher: Springer
Release Date : 2018-02-16
Dynamics In Logistics written by Michael Freitag and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-16 with Technology & Engineering categories.
These proceedings contain research presented at the 6th International Conference on Dynamics in Logistics, held in February 2018.The integration of dynamics within the modeling, planning and control of logistic processes and networks has shown to contribute massively to the improvement of the latter. Moreover, diversification of markets and demand has increased both the complexity and the dynamic changes of problems within the area of logistics. To cope with these challenges, it must become possible to identify, describe and analyze such process changes. Moreover, logistic processes and networks must be revised to be rapidly and flexibly adaptable to continuously changing conditions. This book presents new ideas to solve such problems, offering technological, algorithmic and conceptual improvements. It primarily addresses researchers and practitioners in the field of industrial engineering and logistics.
Supply Chain Engineering
DOWNLOAD
Author : A. Ravi Ravindran
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Supply Chain Engineering written by A. Ravi Ravindran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Business & Economics categories.
Winner of 2013 IIE/Joint Publishers Book-of-the-Year AwardEmphasizing a quantitative approach, Supply Chain Engineering: Models and Applications provides state-of-the-art mathematical models, concepts, and solution methods important in the design, control, operation, and management of global supply chains. The text provides an understanding of
Effective Multi Echelon Inventory Systems For Supplier Selection And Order Allocation
DOWNLOAD
Author : Cong Guo (Industrial engineer)
language : en
Publisher:
Release Date : 2014
Effective Multi Echelon Inventory Systems For Supplier Selection And Order Allocation written by Cong Guo (Industrial engineer) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Business logistics categories.
Successful supply chain management requires an effective sourcing strategy to counteract uncertainties in both the suppliers and demands. Therefore, determining a better sourcing policy is critical in most of industries. Supplier selection is an essential task within the sourcing strategy. A well-selected set of suppliers makes a strategic difference to an organization's ability to reduce costs and improve the quality of its end products. To discover the cost structure of selecting a supplier, it is more interesting to further determine appropriate levels of inventory in each echelon for different suppliers. This dissertation focuses on the study of the integrated supplier selection, order allocation and inventory control problems in a multi-echelon supply chain. First, we investigate a non-order-splitting inventory system in supply chain management. In particular, a buyer firm that consists of one warehouse and N identical retailers procures a type of product from a group of potential suppliers, which may have different prices, ordering costs, lead times and have restriction on minimum and maximum total order size, to satisfy stochastic demand. A continuous review system that implements the order quantity, reorder point (Q, R) inventory policy is considered in the proposed model. The model is solved by decomposing the mixed integer nonlinear programming model into two sub-models. Numerical experiments are conducted to evaluate the model and some managerial insights are obtained with sensitivity analysis. In the next place, we extend the study to consider the multi-echelon system with the order-splitting policy. In particular, the warehouse acquisition takes place when the inventory level depletes to a reorder point R, and the order Q is simultaneously split among m selected suppliers. This consideration is important since it could pool lead time risks by splitting replenishment orders among multiple suppliers simultaneously. We develop an exact analysis for the order-splitting model in the multi-echelon system, and formulate the problem in a Mixed Integer Nonlinear Programming (MINLP) model. To demonstrate the solvability and the effectiveness of the model, we conduct several numerical analyses, and further conduct simulation models to verify the correctness of the proposed mathematical model.
Stochastic Dynamic Demand Inventory Models With Explicit Transportation Costs And Decisions
DOWNLOAD
Author : Liqing Zhang
language : en
Publisher:
Release Date : 2013
Stochastic Dynamic Demand Inventory Models With Explicit Transportation Costs And Decisions written by Liqing Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Recent supply chain literature and practice recognize that significant cost savings can be achieved by coordinating inventory and transportation decisions. Although the existing literature on analytical models for these decisions is very broad, there are still some challenging issues. In particular, the uncertainty of demand in a dynamic system and the structure of various practical transportation cost functions remain unexplored in detail. Taking these motivations into account, this dissertation focuses on the analytical investigation of the impact of transportation-related costs and practices on inventory decisions, as well as the integrated inventory and transportation decisions, under stochastic dynamic demand. Considering complicated, yet realistic, transportation-related costs and practices, we develop and solve three classes of models: (1) Pure inbound inventory model impacted by transportation cost; (2) Pure outbound transportation models concerning shipment consolidation strategy; (3) Integrated inbound inventory and outbound transportation models. In broad terms, we investigate the modeling framework of vendor-customer systems for integrated inventory and transportation decisions, and we identify the optimal inbound and outbound policies for stochastic dynamic supply chain systems. This dissertation contributes to the previous literature by exploring the impact of realistic transportation costs and practices on stochastic dynamic supply chain systems while identifying the structural properties of the corresponding optimal inventory and/or transportation policies. Placing an emphasis on the cases of stochastic demand and dynamic planning, this research has roots in applied probability, optimal control, and stochastic dynamic programming. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/150943
Optimization And Inventory Management
DOWNLOAD
Author : Nita H. Shah
language : en
Publisher: Springer Nature
Release Date : 2019-08-31
Optimization And Inventory Management written by Nita H. Shah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-31 with Business & Economics categories.
This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models’ robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game theory approaches, genetic algorithms, and data mining, as well as research on big data applications for inventory management and control. Starting from deterministic inventory models, the book moves towards advanced inventory models. The content is divided into eight major sections: inventory control and management – inventory models with trade credit financing for imperfect quality items; environmental impact on ordering policies; impact of learning on the supply chain models; EOQ models considering warehousing; optimal ordering policies with data mining and PSO techniques; supply chain models in fuzzy environments; optimal production models for multi-items and multi-retailers; and a marketing model to understand buying behaviour. Given its scope, the book offers a valuable resource for practitioners, instructors, students and researchers alike. It also offers essential insights to help retailers/managers improve business functions and make more accurate and realistic decisions.
Research Methods Concepts Methodologies Tools And Applications
DOWNLOAD
Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2015-01-31
Research Methods Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-31 with Science categories.
Across a variety of disciplines, data and statistics form the backbone of knowledge. To ensure the reliability and validity of data, appropriate measures must be taken in conducting studies and reporting findings. Research Methods: Concepts, Methodologies, Tools, and Applications compiles chapters on key considerations in the management, development, and distribution of data. With its focus on both fundamental concepts and advanced topics, this multi-volume reference work will be a valuable addition to researchers, scholars, and students of science, mathematics, and engineering.