The Experts below are selected from a list of 22659 Experts worldwide ranked by ideXlab platform
Diane Riopel - One of the best experts on this subject based on the ideXlab platform.
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the Storage location assignment and interleaving problem in an automated Storage retrieval system with Shared Storage
International Journal of Production Research, 2010Co-Authors: Lu Chen, André Langevin, Diane RiopelAbstract:Storage location assignment and interleaving policy are two closely related problems in warehousing management. This paper addresses the location assignment and interleaving problem at the same time in an automated Storage/retrieval system with duration-of-stay based Shared Storage policy. Based on the heuristics for single command operation, a two-step procedure is developed to solve the problem. A tabu search algorithm is proposed to improve the solution for medium and large sized problems. The computational results indicate that the tabu search algorithm is effective in finding high quality solutions, and efficient in solving large sized problems.
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minimising the peak load in a Shared Storage system based on the duration of stay of unit loads
Les Cahiers du GERAD, 2008Co-Authors: Lu Chen, Diane Riopel, André LangevinAbstract:The peak load is the maximum daily processing capacity requirement in a warehouse, and is an alternative criterion for the Storage location assignment problem in warehousing management. This paper addresses the problem of minimising the peak load in a Storage/retrieval system with Shared Storage policy based on duration-of-stay of unit loads. A mixed integer programming model is presented. Two heuristics are developed to solve the problem. Their performances on different criteria are compared by computational tests.
Bin Ye - One of the best experts on this subject based on the ideXlab platform.
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variable neighborhood search heuristic for Storage location assignment and Storage retrieval scheduling under Shared Storage in multi shuttle automated Storage retrieval systems
Transportation Research Part E-logistics and Transportation Review, 2015Co-Authors: Peng Yang, Lixin Miao, Bin YeAbstract:This paper examines the joint optimization of Storage location assignment and Storage/retrieval scheduling in multi-shuttle automated Storage/retrieval systems (AS/RSs) under Shared Storage, in which the reuse of empty location yielded by retrieval operation is allowed. From the view of analytical model, the advantage of operational mode under Shared Storage is verified. A variable neighborhood search (VNS) algorithm is developed to solve the large-sized problems. Various numerical experiments are conducted to evaluate the performance of the proposed algorithm and investigate the impact of different parameters on computational efficiency.
Lu Chen - One of the best experts on this subject based on the ideXlab platform.
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the Storage location assignment and interleaving problem in an automated Storage retrieval system with Shared Storage
International Journal of Production Research, 2010Co-Authors: Lu Chen, André Langevin, Diane RiopelAbstract:Storage location assignment and interleaving policy are two closely related problems in warehousing management. This paper addresses the location assignment and interleaving problem at the same time in an automated Storage/retrieval system with duration-of-stay based Shared Storage policy. Based on the heuristics for single command operation, a two-step procedure is developed to solve the problem. A tabu search algorithm is proposed to improve the solution for medium and large sized problems. The computational results indicate that the tabu search algorithm is effective in finding high quality solutions, and efficient in solving large sized problems.
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minimising the peak load in a Shared Storage system based on the duration of stay of unit loads
Les Cahiers du GERAD, 2008Co-Authors: Lu Chen, Diane Riopel, André LangevinAbstract:The peak load is the maximum daily processing capacity requirement in a warehouse, and is an alternative criterion for the Storage location assignment problem in warehousing management. This paper addresses the problem of minimising the peak load in a Storage/retrieval system with Shared Storage policy based on duration-of-stay of unit loads. A mixed integer programming model is presented. Two heuristics are developed to solve the problem. Their performances on different criteria are compared by computational tests.
Amnon Barak - One of the best experts on this subject based on the ideXlab platform.
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atomic writes for data integrity and consistency in Shared Storage devices for clusters
Future Generation Computer Systems, 2004Co-Authors: Michael S Okun, Amnon BarakAbstract:With the recent trend to use Storage area networks in distributed and cluster systems there is a need to improve the integrity and consistency guarantees of stored data in the presence of node or network failures. Currently, the main method for preserving data integrity and consistency is by logging techniques, e.g. journaling. This paper presents a new general method for preserving data consistency by Atomic multi-block Writes. The Atomic Writes method guarantees that either all the blocks in a write operation are written or no blocks are written at all. Its main advantage is that it does not require a recovery phase after a failure. The Atomic Writes method should be implemented in both the operating system and the Storage system levels. It is easy to use and to implement. We present the method, its implementation and an example of its use for handling meta-data consistency in an existing file system that supports Shared Storage.
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atomic writes for data integrity and consistency in Shared Storage devices for clusters
International Conference on Algorithms and Architectures for Parallel Processing, 2002Co-Authors: Michael S Okun, Amnon BarakAbstract:The recent trend to use Storage area networks in distributed and cluster systems has necessitated an improvement of integrity and consistency guarantees of stored data in the presence of node or network failures. Currently, the main method for preserving data integrity and consistency is logging, e.g. journaling. This paper presents a new, general method for preserving data consistency by atomic multi-block writes. The atomic writes method guarantees that either all the blocks in a write operation are written or no blocks are written at all. Its main advantage is that it does not require a recovery phase after a failure. The atomic writes method should be implemented in both the operating system and Storage system levels. It is easy to use and implement. We present the method, its implementation and an example of its use for handling meta-data consistency in the Global File System (GFS).
Pravin Varaiya - One of the best experts on this subject based on the ideXlab platform.
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the sharing economy for the electricity Storage
IEEE Transactions on Smart Grid, 2019Co-Authors: Dileep Kalathil, Kameshwar Poolla, Pravin VaraiyaAbstract:The sharing economy has upset the market for housing and transportation services. Homeowners can rent out their property when they are away on vacation, car owners can offer ridesharing services. These sharing economy business models are based on monetizing under-utilized infrastructure. They are enabled by peer-to-peer platforms that match eager sellers with willing buyers. Are there compelling sharing economy opportunities in the electricity sector? What products or services can be Shared in tomorrow’s smart grid? We begin by exploring sharing economy opportunities in the electricity sector, and discuss regulatory and technical obstacles to these opportunities. We then study the specific problem of a collection of firms sharing their electricity Storage. We characterize equilibrium prices for Shared Storage in a spot market. We formulate Storage investment decisions of the firms as a non-convex non-cooperative game. We show that under a mild alignment condition, a Nash equilibrium exists, it is unique, and it supports the social welfare. We discuss technology platforms necessary for the physical exchange of power, and market platforms necessary to trade electricity Storage. We close with synthetic examples to illustrate our ideas.
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sharing electricity Storage
Conference on Decision and Control, 2016Co-Authors: Chenye Wu, Dileep Kalathil, Kameshwar Poolla, Pravin VaraiyaAbstract:The emerging sharing economy has disrupted the housing and transportation sectors. The underlining business model exploits underutilized infrastructure through sharing. In this paper, we explore sharing economy opportunities in electricity sector. There are considerable obstacles to sharing electricity. First, the flow of electricity is governed by Kirchoff's Laws and we cannot prescribe a point to point path for its flow. Second, regulatory and policy obstacles may impede sharing opportunities. As a result, early adopters will be in the context of behind-the-meter sharing opportunities. In this paper, we study one of these opportunities. Specifically, we consider a collection of firms that invest in Storage to arbitrage against the time of use pricing they face. We show that the investment decision of the firms form a Nash equilibrium which supports the social welfare. We offer explicit expressions for optimal Storage investments and equilibrium prices for Shared Storage in a spot market. Finally, we use field data to assess the performance of our proposed sharing scheme.
