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Author: E. Kay Publisher: Elsevier ISBN: 1483139581 Category : Business & Economics Languages : en Pages : 91
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
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: Li Pan Publisher: Open Dissertation Press ISBN: 9781361311349 Category : Languages : en Pages :
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: Jorge Luis García-Alcaraz Publisher: Springer Nature ISBN: 3030264882 Category : Technology & Engineering Languages : en Pages : 457
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: Riccardo Manzini Publisher: Springer Science & Business Media ISBN: 1447122747 Category : Technology & Engineering Languages : en Pages : 484
Book Description
With increased globalization and offshore sourcing, global supply chain management is becoming an important issue for many businesses as it involves a company's worldwide interests and suppliers rather than simply a local or national orientation. The storage systems significantly affect the level of quality of products, the customer’s service level, and the global logistic cost. The mission of warehousing systems design, control and optimization is to effectively ship products in the right place, at the right time, and in the right quantity (i.e. in any configuration) without any damages or alterations, and minimizing costs. Warehousing in the Global Supply Chain presents and discusses a set of models, tools and real applications, including a few case studies rarely presented with a sufficient detail by other literature, to illustrate the main challenges in warehousing activities. This includes all warehouse operations (from receiving to shipping), problems and issues (e.g. storage allocation, assignment, layout, vehicle routing) for industrial and service systems as parts of global supply chains. Advanced and effective solving methods are also illustrated and the discussed case studies help the reader to quickly apply the proposed models and techniques/algorithms. Warehousing in the Global Supply Chain is useful to managers and practitioners of industry and service sectors for the determination and modeling of the critical issues concerning warehousing systems planning and design. It is a valuable source of information for engineering students, doctoral and post-doctoral students, and researchers of academic institutions who are searching for advanced modeling approaches and solving techniques to complex logistic decision making problems. Warehousing in the Global Supply Chain presents and discusses a set of models, tools and real applications, including a few case studies rarely presented with a sufficient detail by other literature, to illustrate the main challenges in warehousing activities. This includes all warehouse operations (from receiving to shipping), problems and issues (e.g. storage allocation, assignment, layout, vehicle routing) for industrial and service systems as parts of global supply chains. Advanced and effective solving methods are also illustrated and the discussed case studies help the reader to quickly apply the proposed models and techniques/algorithms. Warehousing in the Global Supply Chain is useful to managers and practitioners of industry and service sectors for the determination and modeling of the critical issues concerning warehousing systems planning and design. It is a valuable source of information for engineering students, doctoral and post-doctoral students, and researchers of academic institutions who are searching for advanced modeling approaches and solving techniques to complex logistic decision making problems.
Author: E. Kay
Author: E. Kay
Author: Emil Kay
Author: E. Kay
Author: Li Pan
Author: Riccardo Manzini
Author: Bhoopatsinh Udaysinh Jadeja
Author: Jorge Luis García-Alcaraz
Author: Li Pan (mathematician.)
Author: 
Author: Riccardo Manzini