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Author: E. Kay
Publisher: Elsevier
ISBN: 1483139581
Category : Business & Economics
Languages : en
Pages : 91
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Book Description
A Mathematical Model for Handling in a Warehouse presents the formulation of a mathematical model for goods handling in a warehouse. This 11-chapter text specifically serves as a guide in decision-making in terms of the capacity, shape, and layout of a warehouse for a variety of available handling equipment under minimized total cost. The first seven chapters cover the overview, purpose, and applicability of the model; the role of stock distributions in movement within the warehouse; the problem of order picking; and the effect of time dependent storage policies on the model. The following chapters outline a formula for building cost and its link to handling effort, followed by a discussion on the use of the model when considering warehouse automation. These chapters also examine the mathematical aspects of the model. The concluding chapter provides some numerical examples to illustrate the use and applicability of the model in a specific warehouse handling condition. Mathematician and researchers in the related subjects of goods handling in a warehouse will find this work invaluable.
Author: E. Kay
Publisher: Elsevier
ISBN: 1483139581
Category : Business & Economics
Languages : en
Pages : 91
Get Book Here
Book Description
A Mathematical Model for Handling in a Warehouse presents the formulation of a mathematical model for goods handling in a warehouse. This 11-chapter text specifically serves as a guide in decision-making in terms of the capacity, shape, and layout of a warehouse for a variety of available handling equipment under minimized total cost. The first seven chapters cover the overview, purpose, and applicability of the model; the role of stock distributions in movement within the warehouse; the problem of order picking; and the effect of time dependent storage policies on the model. The following chapters outline a formula for building cost and its link to handling effort, followed by a discussion on the use of the model when considering warehouse automation. These chapters also examine the mathematical aspects of the model. The concluding chapter provides some numerical examples to illustrate the use and applicability of the model in a specific warehouse handling condition. Mathematician and researchers in the related subjects of goods handling in a warehouse will find this work invaluable.
Author: Emil Kay
Publisher:
ISBN: 9780081037928
Category : Materials handling
Languages : en
Pages : 80
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Book Description
Author: E. Kay
Publisher:
ISBN: 9780080128320
Category :
Languages : en
Pages : 80
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Book Description
Author: Li Pan
Publisher: Open Dissertation Press
ISBN: 9781361311349
Category :
Languages : en
Pages :
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Book Description
This dissertation, "Mathematical Modeling for Warehouse Logistics: Stock Loading and Order Picking" by Li, Pan, 潘莉, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Logistics makes extensive use of human and material resources to achieve a target level of customer service at the lowest possible cost. It has been recognized as a major key to success in commerce and industry, and continues to evolve radically and grow in importance in recent years. Warehousing, as one of the most costly elements of logistics, is often the central operation in most logistics networks. Its successful management is critical in terms of both cost and service. In this thesis, two problem areas in warehouse logistics are studied: stock loading and order picking. Stock loading is an essential operation in modern logistics. Improvement on container capacity utilization and loading efficiency significantly reduces costs. For a given set of boxes in different sizes and an unlimited number of identical containers, the basic cargo loading problem is to determine the minimum number of containers required. The problem is proven NP-hard. To tackle this problem, a Tabu search optimization with a tree-based cargo loading algorithm as its inner heuristic is proposed. This approach has flexibility in taking different box conditions into consideration, and can find better solutions on average than other recent meta- or heuristic algorithms. Decreasing order sizes and increasing fuel costs provide a strong incentive for the inner-city truck loading operation to utilize container space more efficiently in transporting goods to multiple clients during one trip. This considers not only traditional loading constraints, but also multi-drop requirements. A wallbuilding heuristics based on a binary tree data structure is proposed to handle these side constraints. A dynamic space decomposition approach, together with a repacking and space amalgamation strategy, permits an efficient and effective loading plan. Order picking, one of the most critical warehousing operations, is the second problem studied in this thesis. An analytical approximation model is proposed based on probability modeling and queueing network theory applied to a synchronized zone picker-to-part order picking system with different routing and ABC-class inventory storage policies. The numerical results are compared and validated via simulation. The resulting model can therefore be usefully applied in the design and selection process of order picking systems. The routing versus storage issues are further investigated with a simulation model. This extends the existing research by evaluating multiple routing and storage policies under varying operating conditions. Results show that the midpoint, return and traversal routing policies generally perform best when paired with perimeter, across-aisle and within-aisle storage strategies, respectively. Yet performance is indeed dependent on demand patterns, zone sizes, batch sizes and order sizes. At first glance, order picking and stock loading operation seem to pursue different objectives. However, they are two related operations conducted sequentially from internal to the outbound side of warehousing. An efficient order picking system is a precondition for an effective loading operation at the sh
Author: Nita H. Shah
Publisher: Springer Nature
ISBN: 9811396981
Category : Business & Economics
Languages : en
Pages : 470
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Book Description
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.
Author: Bhoopatsinh Udaysinh Jadeja
Publisher:
ISBN:
Category : Order picking systems
Languages : en
Pages : 198
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Book Description
Author: Jorge Luis García-Alcaraz
Publisher: Springer Nature
ISBN: 3030264882
Category : Technology & Engineering
Languages : en
Pages : 457
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Book Description
This book presents the latest developments concerning techniques, tools, and methodologies in supply chain ecosystems. It gathers contributions from a variety of experts, who analyze a range of case studies and industrial sectors such as manufacturing, energy, agricultural, healthcare, humanitarian logistics, and urban goods distribution, to name but a few. The book is chiefly intended to meet the needs of two sectors: firstly, the academic sector, so as to familiarize students, professors, and researchers with the tools that are now being used to optimize supply chains; and secondly, the industrial and managerial sector, so that supply chain management practitioners can benefit from methods and tools that are yielding valuable results in other contexts.
Author: Li Pan (mathematician.)
Publisher:
ISBN:
Category : Business logistics
Languages : en
Pages : 418
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Book Description
Author: Radek Silhavy
Publisher: Springer Nature
ISBN: 303031362X
Category : Technology & Engineering
Languages : en
Pages : 424
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Book Description
This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems. This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.
Author: 潘莉
Publisher:
ISBN:
Category : Business logistics
Languages : en
Pages : 418
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Book Description
