Models and Methods for the Parallel Machines Scheduling Problem with Sequence-dependent Setup Costs PDF Download
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Author: Emanuela Guerriero
Publisher:
ISBN:
Category :
Languages : en
Pages : 109
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Author: Emanuela Guerriero
Publisher:
ISBN:
Category :
Languages : en
Pages : 109
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Author: A.H.G. Rinnooy Kan
Publisher: Springer Science & Business Media
ISBN: 1461343836
Category : Business & Economics
Languages : en
Pages : 188
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Book Description
1. Introduction.- 2. Problem Formulation.- 2.1. Notations and representations.- 2.2. Restrictive assumptions.- 2.3. Optimality criteria.- 2.3.1. Regular measures.- 2.3.1.1. Criteria based on completion times.- 2.3.1.2. Criteria based on due dates.- 2.3.1.3. Criteria based on inventory cost and utilization.- 2.3.2. Relations between criteria.- 2.3.3. Analysis of scheduling costs.- 2.4. Classification of problems.- 3. Methods of Solution.- 3.1. Complete enumeration.- 3.2. Combinatorial analysis.- 3.3. Mixed integer and non-linear programming.- 3.3.1. [Bowman 1959].- 3.3.2. [Pritsker et al. 1969].
Author: Bradley Everett Anderson
Publisher:
ISBN: 9781423506775
Category :
Languages : en
Pages : 204
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Book Description
The setup scheduling problem is the problem of determining the sequence of multiple products produced on one or more resources/machines. The sequence-dependent setup scheduling problem is more difficult than the setup scheduling problem and extends it by incorporating different setup costs or times for each product, based on the product for which the resources were set up last. When producing multiple products on limited-capacity resources, minimizing the earliness and tardiness of product delivery is an important scheduling objective in the just-in-time (JIT) environment. Items produced too early incur holding costs, while items produced too late incur costs in the form of dissatisfied customers. This research compares the efficacy of a new network- based mixed-integer programming (MIP) formulation to an existing mixed-integer formulation for both the tardiness and the earliness/tardiness problems. An effective ET heuristic is also developed for earliness/tardiness problems too large to be solved efficiently by the MIP formulation. The presented MIP formulation provides a unique and useful method of conceptualizing and modeling a practical, yet difficult, problem within industry. This research shows that the new MIP model is much more efficient in terms of computation time for multi- machine problems than another known generalized formulation of these problems.
Author: Sungmin Kang
Publisher:
ISBN:
Category : Economic lot size
Languages : en
Pages : 23
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Author: Carsten Jordan
Publisher: Springer Science & Business Media
ISBN: 3642484034
Category : Business & Economics
Languages : en
Pages : 191
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Book Description
In some manufacturing systems significant setups are required to change production from one type of products to another. The setups render the manufacturing system inflexible as for reacting to changes in demand patterns, hence inventories must be maintained to guarantee an acceptable customer service. In this environment, production scheduling faces a number of problems, and this work deals with mathematical models to support the scheduling decisions. Some more background and motivation is given in the following sections, as well as in a case description in Section 1. 3. The synopsis in Section 1. 4 outlines the topics of the work. 1. 1 Motivation of the Planning Problem Consider the production of metal sheets in a rolling mill. If the width of the next type of sheets is greater than the width of the preceding type, then the roll needs a setup: during the rolling process the edges of a sheet cause grooves on the rolls' surface, thus, the surface must be polished if a greater width is run next. Sheets with a smaller width can be run directly, without a setup. Another example in which setups are sequence dependent is a line where cars are sprayed: if the color of the paint changes, the cleaning of the tools requires a setup depending on the sequence of the colors. Only a small setup may be needed for changing from a light to a dark color, but a thorough cleaning of the tools is 2 CHAPTER 1.
Author: Nag, Barin
Publisher: IGI Global
ISBN: 161520606X
Category : Computers
Languages : en
Pages : 386
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Book Description
"This book provides knowledge and insights on present and future AI applications in Operations Management presenting tools and decisions in terms of theoretical and empirical models, methods and proposed applications"--Provided by publisher.
Author: Beniamino Murgante
Publisher: Springer
ISBN: 3319091298
Category : Computers
Languages : en
Pages : 827
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Book Description
The six-volume set LNCS 8579-8584 constitutes the refereed proceedings of the 14th International Conference on Computational Science and Its Applications, ICCSA 2014, held in Guimarães, Portugal, in June/July 2014. The 347 revised papers presented in 30 workshops and a special track were carefully reviewed and selected from 1167. The 289 papers presented in the workshops cover various areas in computational science ranging from computational science technologies to specific areas of computational science such as computational geometry and security.
Author: Michael Pinedo
Publisher: Springer Science & Business Media
ISBN: 9780387221984
Category : Business & Economics
Languages : en
Pages : 542
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Book Description
This book focuses on planning and scheduling applications. Planning and scheduling are forms of decision-making that play an important role in most manufacturing and services industries. The planning and scheduling functions in a company typically use analytical techniques and heuristic methods to allocate its limited resources to the activities that have to be done. The application areas considered in this book are divided into manufacturing applications and services applications. The book covers five areas in manufacturing: project scheduling, job shop scheduling, scheduling of flexible assembly systems, economic lot scheduling, and planning and scheduling in supply chains. It covers four areas in services: reservations and timetabling, tournament scheduling, planning and scheduling in transportation, and workforce scheduling. At the end of each chapter, a case study or a system implementation is described in detail. Numerous examples and exercises throughout the book illustrate the material presented. The fundamentals concerning the methodologies used in the application chapters are covered in the appendices. The book comes with a CD-ROM that contains various sets of powerpoint slides. The CD also contains several planning and scheduling systems that have been developed in academia as well as generic optimization software that has been developed in industry. This book is suitable for more advanced students in industrial engineering and operations research as well as graduate students in business. Michael Pinedo is the Julius Schlesinger Professor of Operations Management in the Stern School of Business at New York University. His research interests lie in the theoretical and applied aspects of planning and scheduling. He has written numerous papers on the theory of deterministic and stochastic scheduling and has also consulted extensively in industry. He has been actively involved in the development of several large industrial planning and scheduling systems.
Author: Raymond Chiong
Publisher: Springer Science & Business Media
ISBN: 3642234240
Category : Technology & Engineering
Languages : en
Pages : 470
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Book Description
Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.
Author: Satyaki Ghosh Dastidar
Publisher:
ISBN:
Category :
Languages : en
Pages : 134
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