1,147 resources related to Inventory Control
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science
The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will
Accelerate application of breakthrough improvements in human factors, technology, and managing systems that reduce risk of electrical injuries. Stimulate innovation in overcoming barriers. Change and advance the electrical safety culture to enable sustainable improvements in prevention of electrical accidents and injuries
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
2016 International Conference on Logistics, Informatics and Service Sciences (LISS), 2016
For inventory control strategy, the more common side strategy is centralized inventory control strategy and decentralized inventory control strategy. In this paper, multiple retailers on the supply chain are chose as research objects to study the inventory control strategy under random demand of these retailers in a multi-period inventory system. Considering the shortage costs and inventory holding costs, multi-period stochastic ...
Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), 2011
This exhaustive research was made on the joint inventory control problem of stochastic demand in virtual logistics. The demand for each warehouse follows Poisson distribution. An optimal joint inventory control model is proposed to minimize the whole inventory control cost comprising ordering cost, storage cost and shortage cost. The (T, S, s) model is constructed by using and adjusting the ...
2018 5th International Conference on Industrial Engineering and Applications (ICIEA), 2018
Corporate operation mainly targets at satisfying the needs of customers by providing products valuable for them. At different stages, product life cycle places different requirements upon the quantity of products. Product is made up of multiple types of materials, many of which must be procured or ordered from suppliers. To shorten the lead time and lower inventory control cost, enterprises ...
2012 Fifth International Conference on Intelligent Computation Technology and Automation, 2012
The main components of the inventory control system are analyzed. The dynamic inventory control model of vulnerable articles is built by focusing on the characteristics of the vulnerable articles, introducing the lost time and loss factor of articles to calculate the inventory loss cost and on the condition of considering the bulk price discount and safety inventory, etc. The model ...
2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO), 2016
This paper is devoted to the different simulation approaches that are described with an example of a basic conceptual inventory control model. The common feature of all simulation is the fact that the results can be acquired only through the processing on a computer with special simulation tools. The ways of creating these programs depend on the chosen philosophy (paradigm) ...
Optimization for Robust Motion Planning and Control
Inspiring Brilliance: The impact of control theory and cybernetics of Maxwell's paper: On governors
Navigation and Control of Unmanned Vehicles: A Fuzzy Logic Perspective
IEEE PES Awards 2020: IEEE PES Prabha S. Kundur Power System Dynamics and Control Award
EMBC 2011-Workshop-Motor Control Principles in Neurorobotics and Prosthetics-PT IV
Surgical Robotics: Analysis and Control Architecture for Semiautonomous Robotic Surgery
APEC 2012 - Dr. Fred Lee Plenary
Maker Faire 2008: Smart LEDs
Learning Control and Knowledge Transfer Between Aerial Robots for Improved Accuracy in Trajectory Tracking
Control of a Fully-Actuated Airship for Satellite Emulation
ICRA 2020 Keynote - Compliant Whole-body Control for Real-World Interactions
EMBC 2011-Workshop-Motor Control Principles in Neurorobotics and Prosthetics-PT I
EMBC 2011-Workshop- Motor Control Principles in Neurorobotics and Prosthetics-PT II
EMBC 2011-Workshop- Motor Control Principles in Neurorobotics and Prosthetics-PT III
Robotics History: Narratives and Networks Oral Histories:Herman Bruyninckx
IMS 2012 Special Sessions: The Evolution of Some Key Active and Passive Microwave Components - L.R. Whicker
Maker Faire 2008: Pong and Asteroids Watch
Playing Guitar Hero Without Hands
Qing-Chang Zhong, Distinguished Lecturer - PELS
For inventory control strategy, the more common side strategy is centralized inventory control strategy and decentralized inventory control strategy. In this paper, multiple retailers on the supply chain are chose as research objects to study the inventory control strategy under random demand of these retailers in a multi-period inventory system. Considering the shortage costs and inventory holding costs, multi-period stochastic inventory models are built to compare the difference between traditional decentralized inventory control strategy and centralized inventory control strategy based on risk sharing. The findings show the advantages of centralized inventory control. Besides, this paper also analysis the influence of demand relevance on the performance of centralized inventory control strategy.
This exhaustive research was made on the joint inventory control problem of stochastic demand in virtual logistics. The demand for each warehouse follows Poisson distribution. An optimal joint inventory control model is proposed to minimize the whole inventory control cost comprising ordering cost, storage cost and shortage cost. The (T, S, s) model is constructed by using and adjusting the (T, S) model which is used successfully in the joint inventory control problem of single warehouse with multiple kinds of goods. Due to the NP-hard property of (T, S, s) model, this paper designs and programs a genetic algorithm with GA tool box of Matlab. Results of experiment shows the joint inventory strategy deduced by our (T, S, s) model and genetic algorithm can reduce the total storage cost of virtual logistics enterprise greatly, and it exceeds the (T, S) strategy.
Corporate operation mainly targets at satisfying the needs of customers by providing products valuable for them. At different stages, product life cycle places different requirements upon the quantity of products. Product is made up of multiple types of materials, many of which must be procured or ordered from suppliers. To shorten the lead time and lower inventory control cost, enterprises have to make suitable decisions on inventory control methods. In the past, there were many inventory control methods developed, including fixed-order quantity method and contract buying method. However, there was little research discussing the adoption of suitable inventory control methods at different stages of product life cycle to cater to the changing demand quantities of customers. Therefore, the main purpose of this research lies in exploring the adjustment of material inventory control methods considering the different stages of product life cycle to be applied into practice in procurement, so as to shorten lead time and lower inventory control cost, and ultimately avoid occurrence of abnormal situations like scrap material, inactive material or suspension for shortage of materials. In addition, this research is also expected to provide reference for practice field.
The main components of the inventory control system are analyzed. The dynamic inventory control model of vulnerable articles is built by focusing on the characteristics of the vulnerable articles, introducing the lost time and loss factor of articles to calculate the inventory loss cost and on the condition of considering the bulk price discount and safety inventory, etc. The model has been verified on its feasibility through example calculation.
This paper is devoted to the different simulation approaches that are described with an example of a basic conceptual inventory control model. The common feature of all simulation is the fact that the results can be acquired only through the processing on a computer with special simulation tools. The ways of creating these programs depend on the chosen philosophy (paradigm) of simulation modelling, and on a corresponding to this paradigm program package used to build a certain model. The authors propose the methodology for selecting simulation paradigms, depending on the simulated inventory control task.
In this paper, we analyze a single-stage and single-item inventory control system with non-stationary demand and uncertain system parameters. We propose two extensions of a previous work on the dynamic reorder point policy (the (r<sub>k</sub>, Q) policy). In the first extension, we include three types of uncertainties pertaining to the demand uncertainty, the lead time uncertainty, and the yield uncertainty. We study the impact of these uncertainties on the (r<sub>k </sub>, Q) policy and we provide an approximation of the optimal parameters of the policy using a sequential approach under a cycle service level constraint. The approximative parameters obtained in this paper are good ones for small values of the variability of uncertainties. In the second extension, we focus on the demand uncertainty. We determine the optimal parameters of the (r<sub>k</sub>, Q) policy using a sequential approach under a fill rate service level constraint. In the two extensions, we focus on the safety stock parameter and we propose a method to compute it
Updates to classical two-level inventory control policies are discussed for inventory control systems (ICS) with random lead times. The conventional zero time ICS-model problem is stated. The solution lies in the two criteria generalization of the conventional inventory control problem. Formulas are derived for calculating corrections to the classical inventory control problem variables. Simulation results are presented.
Eastern route of south-to-north water transfer project is selected as a study case. Vendor management inventory (VMI) control theory is introduced into the study on water inventory control of the node lake of the project. When the possibility of the flood is taken into account, water inventory control models and water utilization profit models under independent control strategy, centralized control strategy and VMI control strategy are set up. Then VMI and independent control strategies of water resource are compared and restriction conditions of VMI control strategy are deduced. Finally, profit change curves of water buyers and water sellers under different inventory control strategies are obtained in simulation testing. The result shows that VMI control strategy can increase water utilization efficiency and improve the whole profits of water supply chain system. The study can provide guidance for the operations of south-to-north water transfer project and other inter-basin water transfer projects.
Different from the inventory control of civil material that pays attention to economic benefits, the most important factor in inventory control of military material is time effectiveness. In order to improve the operation efficiency of the military material supply system, the inventory control strategy of military matarial was researched. Basic model of inventory control was researched firstly, and inventory control models of unlimited supply rate and limited supply rate based on time effectiveness were established using the theory deduction method. The model supplies theory bases for inventory control in wartime, and the scientificity and time effectiveness of supply support can be improved consequently.
The spare parts inventory control is a necessary condition for equipments' safe and stable operation, which has a direct impact on enterprises' operation and economic benefits. With the development of information systems, the application of ERP in management activities provides a platform for inventory management. This paper combines the thought of ERP with spare parts inventory control, summarizes the general characteristics of spare parts management, and using quantitative analysis of inventory theory, discusses the spare parts inventory control model with certain and uncertain factors respectively; and then discusses the method application in the enterprise's ERP system. Moreover, cases of air segregation plant using ERP combined with pare parts quantitative inventory control method is discussed and evaluated by performance appraisal. The achievement of the article will guide enterprises' management related to spare parts inventory control, and provides Chinese enterprises with a new approach to improve on spare parts inventory control in the environment of ERP system.
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