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Operations scheduling with applications in manufacturing and services / Michael Pinedo, Xiuli Chao
Operations scheduling with applications in manufacturing and services / Michael Pinedo, Xiuli Chao
Autore PINEDO, Michael
Pubbl/distr/stampa Boston [etc.] : Irvin McGraw-Hill, c1999
Descrizione fisica IX, 310 p. ; 25 cm. + 2 floppy disk
Disciplina 658.53
Altri autori (Persone) CHAO, Xiuli
Collana Computer science series
Soggetto topico Produzione - Programmazione
ISBN 0-07-116675-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990002844770203316
PINEDO, Michael  
Boston [etc.] : Irvin McGraw-Hill, c1999
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Planning and scheduling in manufacturing and services / Michael L. Pinedo
Planning and scheduling in manufacturing and services / Michael L. Pinedo
Autore Pinedo, Michael L.
Edizione [2. ed]
Pubbl/distr/stampa Dordrecht, : Springer, 2009
Descrizione fisica XVIII, 536 p. : ill. ; 25 cm + 1 CD-ROM
Disciplina 658.5
658.53
Soggetto topico Aziende industriali - Piani di produzione
ISBN 9781441909091
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISANNIO-PMI0008423
Pinedo, Michael L.  
Dordrecht, : Springer, 2009
Materiale a stampa
Lo trovi qui: Univ. del Sannio
Opac: Controlla la disponibilità qui
Planning and scheduling in manufacturing and services / Michael L. Pinedo
Planning and scheduling in manufacturing and services / Michael L. Pinedo
Autore Pinedo, Michael
Pubbl/distr/stampa New York, NY : Springer, c2005
Descrizione fisica xvi, 506 p. : ill. 24 cm + 1 CD-ROM
Disciplina 658.53
Collana Springer series in operations research
Soggetto topico Production scheduling
Production planning
ISBN 9780387221984
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991003700489707536
Pinedo, Michael  
New York, NY : Springer, c2005
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Planning and scheduling in manufacturing and services [e-book] / by Michael L. Pinedo
Planning and scheduling in manufacturing and services [e-book] / by Michael L. Pinedo
Autore Pinedo, Michael L.
Edizione [2nd ed.]
Pubbl/distr/stampa New York, NY : Springer, 2009
Descrizione fisica v.: digital
Soggetto topico Operations research
Economics
Business planning
Business logistics
ISBN 9781441909107
Formato Software
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991001286119707536
Pinedo, Michael L.  
New York, NY : Springer, 2009
Software
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Queueing networks : customers, signals, and product form solutions / Xiuli Chao, Masakiyo Miyazawa, Michael Pinedo
Queueing networks : customers, signals, and product form solutions / Xiuli Chao, Masakiyo Miyazawa, Michael Pinedo
Autore Chao, Xiuli
Pubbl/distr/stampa Chichester [etc.] : John Wiley & Sons, c1999
Descrizione fisica xii, 445 p. : ill. ; 24 cm
Disciplina 658.53
Altri autori (Persone) Miyazawa, Masakiyo
Pinedo, Michael
Collana Wiley-Interscience series in systems and optimization
Soggetto non controllato Ricerca operativa - Management science
Teoria delle code
Organizzazione sistemica dei computers - Valutazione delle prestazioni
ISBN 0-471-98309-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990001225750403321
Chao, Xiuli  
Chichester [etc.] : John Wiley & Sons, c1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Scheduling : theory, algorithms, and systems / / Michael L. Pinedo
Scheduling : theory, algorithms, and systems / / Michael L. Pinedo
Autore Pinedo Michael
Edizione [Sixth edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (691 pages)
Disciplina 658.53
Soggetto topico Production scheduling
ISBN 9783031059216
9783031059209
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface to the Sixth Edition -- The Gantt Chart: Its Originators -- Supplementary Electronic Material -- Contents -- 1 Introduction -- 1.1 The Role of Scheduling -- 1.2 The Scheduling Function in an Enterprise -- 1.3 Outline of the Book -- Part I Deterministic Models -- 2 Deterministic Models: Preliminaries -- 2.1 Framework and Notation -- 2.2 Examples -- 2.3 Classes of Schedules -- 2.4 Complexity Hierarchy -- 3 Single Machine Models (Deterministic) -- 3.1 The Total Weighted Completion Time -- 3.2 The Maximum Lateness -- 3.3 The Number of Tardy Jobs -- 3.4 The Total Tardiness-Dynamic Programming -- 3.5 The Total Tardiness-An Approximation Scheme -- 3.6 The Total Weighted Tardiness -- 3.7 Online Scheduling -- 3.8 Discussion -- 4 Advanced Single Machine Models (Deterministic) -- 4.1 The Total Earliness and Tardiness -- 4.2 Primary and Secondary Objectives -- 4.3 Multiple Objectives: A Parametric Analysis -- 4.4 The Makespan with Sequence Dependent Setup Times -- 4.5 Job Families with Setup Times -- 4.6 Batch Processing -- 4.7 Discussion -- 5 Parallel Machine Models (Deterministic) -- 5.1 The Makespan without Preemptions -- 5.2 The Makespan with Preemptions -- 5.3 The Total Completion Time without Preemptions -- 5.4 The Total Completion Time with Preemptions -- 5.5 Due Date Related Objectives -- 5.6 Online Scheduling -- 5.7 Discussion -- 6 Flow Shops and Flexible Flow Shops (Deterministic) -- 6.1 Flow Shops with Unlimited Intermediate Storage -- 6.2 Flow Shops with Limited Intermediate Storage -- 6.3 Proportionate Flow Shops with Unlimited and Limited Intermediate Storage -- 6.4 Proportionate Flow Shops with Reentry -- 6.5 Flexible Flow Shops with Unlimited Intermediate Storage -- 6.6 Discussion -- 7 Job Shops (Deterministic) -- 7.1 Disjunctive Programming and Branch and Bound -- 7.2 The Shifting Bottleneck Heuristic and the Makespan.
7.3 The Shifting Bottleneck Heuristic and the Total Weighted Tardiness -- 7.4 Constraint Programming and the Makespan -- 7.5 Discussion -- 8 Open Shops (Deterministic) -- 8.1 The Makespan without Preemptions -- 8.2 The Makespan with Preemptions -- 8.3 The Maximum Lateness without Preemptions -- 8.4 The Maximum Lateness with Preemptions -- 8.5 The Number of Tardy Jobs -- 8.6 Discussion -- Part II Stochastic Models -- 9 Stochastic Models: Preliminaries -- 9.1 Framework and Notation -- 9.2 Distributions and Classes of Distributions -- 9.3 Stochastic Dominance -- 9.4 Impact of Randomness on Fixed Schedules -- 9.5 Classes of Policies -- 10 Single Machine Models (Stochastic) -- 10.1 Arbitrary Distributions without Preemptions -- 10.2 Arbitrary Distributions with Preemptions: the Gittins Index -- 10.3 Likelihood Ratio Ordered Distributions -- 10.4 Exponential Distributions -- 10.5 Discussion -- 11 Single Machine Models with Release Dates (Stochastic) -- 11.1 Arbitrary Release Dates and Arbitrary Processing Times without Preemptions -- 11.2 Priority Queues, Work Conservation, and Poisson Releases -- 11.3 Arbitrary Releases and Exponential Processing Times with Preemptions -- 11.4 Poisson Releases and Arbitrary Processing Times without Preemptions -- 11.5 Discussion -- 12 Parallel Machine Models (Stochastic) -- 12.1 The Makespan and Total Completion Time without Preemptions -- 12.2 The Makespan and Total Completion Time with Preemptions -- 12.3 Due Date Related Objectives -- 12.4 Bounds Obtained through Online Scheduling -- 12.5 Discussion -- 13 Flow Shops, Job Shops, and Open Shops (Stochastic) -- 13.1 Stochastic Flow Shops with Unlimited Intermediate Storage -- 13.2 Stochastic Flow Shops with Blocking -- 13.3 Stochastic Job Shops -- 13.4 Stochastic Open Shops -- 13.5 Discussion -- Part III Scheduling in Practice.
14 General Purpose Procedures for Deterministic Scheduling -- 14.1 Dispatching Rules -- 14.2 Composite Dispatching Rules -- 14.3 Local Search: Simulated Annealing and Tabu-Search -- 14.4 Local Search: Genetic Algorithms -- 14.5 Ant Colony Optimization -- 14.6 Discussion -- 15 More Advanced General Purpose Procedures -- 15.1 Beam Search -- 15.2 Decomposition Methods and Rolling Horizon Procedures -- 15.3 Constraint Programming -- 15.4 Market-Based and Agent-Based Procedures -- 15.5 Procedures for Scheduling Problems with Multiple Objectives -- 15.6 Discussion -- 16 Modeling and Solving Scheduling Problems in Practice -- 16.1 Scheduling Problems in Practice -- 16.2 Cyclic Scheduling of a Flow Line -- 16.3 Scheduling of a Flexible Flow Line with Limited Buffers and Bypass -- 16.4 Scheduling of a Flexible Flow Line with Unlimited Buffers and Setups -- 16.5 Scheduling a Bank of Parallel Machines with Jobs having Release Dates and Due Dates -- 16.6 Discussion -- 17 Design and Implementation of Scheduling Systems: Basic Concepts -- 17.1 Systems Architecture -- 17.2 Databases, Object Bases, and Knowledge-Bases -- 17.3 Modules for Generating Schedules -- 17.4 User Interfaces and Interactive Optimization -- 17.5 Generic Systems vs. Application-Specific Systems -- 17.6 Implementation and Maintenance Issues -- 18 Design and Implementation of Scheduling Systems: More Advanced Concepts -- 18.1 Robustness and Reactive Decision Making -- 18.2 Machine Learning Mechanisms -- 18.3 Design of Scheduling Engines and Algorithm Libraries -- 18.4 Reconfigurable Systems -- 18.5 Web-Based Scheduling Systems -- 18.6 Discussion -- 19 Examples of System Designs and Implementations -- 19.1 SAP's Production Planning and Detailed Scheduling -- 19.2 IBM's Independent Agents Architecture -- 19.3 AMD's Real Time Dispatching and Agent Scheduling.
19.4 ASPROVA Advanced Planning and Scheduling -- 19.5 SIEMENS Opcenter APS -- 19.6 DELMIA Ortems Production Scheduler -- 19.7 CYBERPLAN - A System Developed by Cybertec -- 19.8 LEKIN - A System Developed in Academia -- 19.9 Discussion -- 20 What Lies Ahead? -- 20.1 Theoretical Research -- 20.2 Applied Research -- 20.3 Systems Development -- Appendices -- A Mathematical Programming: Formulations and Applications -- A.1 Linear Programming Formulations -- A.2 Integer Programming Formulations -- A.3 Bounds, Approximations, and Heuristics Based on Linear Programming -- A.4 Disjunctive Programming Formulations -- B Deterministic and Stochastic Dynamic Programming -- B.1 Deterministic Dynamic Programming -- B.2 Stochastic Dynamic Programming -- C Constraint Programming -- C.1 Constraint Satisfaction -- C.2 Constraint Programming -- C.3 An Example of a Constraint Programming Language -- C.4 Constraint Programming vs. Mathematical Programming -- D Complexity Theory -- D.1 Preliminaries -- D.2 Polynomial Time Solutions versus NP-Hardness -- D.3 Examples -- D.4 Fixed Parameter Tractability -- D.5 Approximation Algorithms and Schemes -- E Complexity Classification of Deterministic Scheduling Problems -- F Overview of Stochastic Scheduling Problems -- G Selected Scheduling Systems -- H The Lekin System -- H.1 Formatting of Input and Output Files -- H.2 Linking Scheduling Programs -- References -- Subject Index -- Name Index.
Record Nr. UNISA-996503551203316
Pinedo Michael  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Scheduling : theory, algorithms, and systems / / Michael L. Pinedo
Scheduling : theory, algorithms, and systems / / Michael L. Pinedo
Autore Pinedo Michael
Edizione [Sixth edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (691 pages)
Disciplina 658.53
Soggetto topico Production scheduling
ISBN 9783031059216
9783031059209
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface to the Sixth Edition -- The Gantt Chart: Its Originators -- Supplementary Electronic Material -- Contents -- 1 Introduction -- 1.1 The Role of Scheduling -- 1.2 The Scheduling Function in an Enterprise -- 1.3 Outline of the Book -- Part I Deterministic Models -- 2 Deterministic Models: Preliminaries -- 2.1 Framework and Notation -- 2.2 Examples -- 2.3 Classes of Schedules -- 2.4 Complexity Hierarchy -- 3 Single Machine Models (Deterministic) -- 3.1 The Total Weighted Completion Time -- 3.2 The Maximum Lateness -- 3.3 The Number of Tardy Jobs -- 3.4 The Total Tardiness-Dynamic Programming -- 3.5 The Total Tardiness-An Approximation Scheme -- 3.6 The Total Weighted Tardiness -- 3.7 Online Scheduling -- 3.8 Discussion -- 4 Advanced Single Machine Models (Deterministic) -- 4.1 The Total Earliness and Tardiness -- 4.2 Primary and Secondary Objectives -- 4.3 Multiple Objectives: A Parametric Analysis -- 4.4 The Makespan with Sequence Dependent Setup Times -- 4.5 Job Families with Setup Times -- 4.6 Batch Processing -- 4.7 Discussion -- 5 Parallel Machine Models (Deterministic) -- 5.1 The Makespan without Preemptions -- 5.2 The Makespan with Preemptions -- 5.3 The Total Completion Time without Preemptions -- 5.4 The Total Completion Time with Preemptions -- 5.5 Due Date Related Objectives -- 5.6 Online Scheduling -- 5.7 Discussion -- 6 Flow Shops and Flexible Flow Shops (Deterministic) -- 6.1 Flow Shops with Unlimited Intermediate Storage -- 6.2 Flow Shops with Limited Intermediate Storage -- 6.3 Proportionate Flow Shops with Unlimited and Limited Intermediate Storage -- 6.4 Proportionate Flow Shops with Reentry -- 6.5 Flexible Flow Shops with Unlimited Intermediate Storage -- 6.6 Discussion -- 7 Job Shops (Deterministic) -- 7.1 Disjunctive Programming and Branch and Bound -- 7.2 The Shifting Bottleneck Heuristic and the Makespan.
7.3 The Shifting Bottleneck Heuristic and the Total Weighted Tardiness -- 7.4 Constraint Programming and the Makespan -- 7.5 Discussion -- 8 Open Shops (Deterministic) -- 8.1 The Makespan without Preemptions -- 8.2 The Makespan with Preemptions -- 8.3 The Maximum Lateness without Preemptions -- 8.4 The Maximum Lateness with Preemptions -- 8.5 The Number of Tardy Jobs -- 8.6 Discussion -- Part II Stochastic Models -- 9 Stochastic Models: Preliminaries -- 9.1 Framework and Notation -- 9.2 Distributions and Classes of Distributions -- 9.3 Stochastic Dominance -- 9.4 Impact of Randomness on Fixed Schedules -- 9.5 Classes of Policies -- 10 Single Machine Models (Stochastic) -- 10.1 Arbitrary Distributions without Preemptions -- 10.2 Arbitrary Distributions with Preemptions: the Gittins Index -- 10.3 Likelihood Ratio Ordered Distributions -- 10.4 Exponential Distributions -- 10.5 Discussion -- 11 Single Machine Models with Release Dates (Stochastic) -- 11.1 Arbitrary Release Dates and Arbitrary Processing Times without Preemptions -- 11.2 Priority Queues, Work Conservation, and Poisson Releases -- 11.3 Arbitrary Releases and Exponential Processing Times with Preemptions -- 11.4 Poisson Releases and Arbitrary Processing Times without Preemptions -- 11.5 Discussion -- 12 Parallel Machine Models (Stochastic) -- 12.1 The Makespan and Total Completion Time without Preemptions -- 12.2 The Makespan and Total Completion Time with Preemptions -- 12.3 Due Date Related Objectives -- 12.4 Bounds Obtained through Online Scheduling -- 12.5 Discussion -- 13 Flow Shops, Job Shops, and Open Shops (Stochastic) -- 13.1 Stochastic Flow Shops with Unlimited Intermediate Storage -- 13.2 Stochastic Flow Shops with Blocking -- 13.3 Stochastic Job Shops -- 13.4 Stochastic Open Shops -- 13.5 Discussion -- Part III Scheduling in Practice.
14 General Purpose Procedures for Deterministic Scheduling -- 14.1 Dispatching Rules -- 14.2 Composite Dispatching Rules -- 14.3 Local Search: Simulated Annealing and Tabu-Search -- 14.4 Local Search: Genetic Algorithms -- 14.5 Ant Colony Optimization -- 14.6 Discussion -- 15 More Advanced General Purpose Procedures -- 15.1 Beam Search -- 15.2 Decomposition Methods and Rolling Horizon Procedures -- 15.3 Constraint Programming -- 15.4 Market-Based and Agent-Based Procedures -- 15.5 Procedures for Scheduling Problems with Multiple Objectives -- 15.6 Discussion -- 16 Modeling and Solving Scheduling Problems in Practice -- 16.1 Scheduling Problems in Practice -- 16.2 Cyclic Scheduling of a Flow Line -- 16.3 Scheduling of a Flexible Flow Line with Limited Buffers and Bypass -- 16.4 Scheduling of a Flexible Flow Line with Unlimited Buffers and Setups -- 16.5 Scheduling a Bank of Parallel Machines with Jobs having Release Dates and Due Dates -- 16.6 Discussion -- 17 Design and Implementation of Scheduling Systems: Basic Concepts -- 17.1 Systems Architecture -- 17.2 Databases, Object Bases, and Knowledge-Bases -- 17.3 Modules for Generating Schedules -- 17.4 User Interfaces and Interactive Optimization -- 17.5 Generic Systems vs. Application-Specific Systems -- 17.6 Implementation and Maintenance Issues -- 18 Design and Implementation of Scheduling Systems: More Advanced Concepts -- 18.1 Robustness and Reactive Decision Making -- 18.2 Machine Learning Mechanisms -- 18.3 Design of Scheduling Engines and Algorithm Libraries -- 18.4 Reconfigurable Systems -- 18.5 Web-Based Scheduling Systems -- 18.6 Discussion -- 19 Examples of System Designs and Implementations -- 19.1 SAP's Production Planning and Detailed Scheduling -- 19.2 IBM's Independent Agents Architecture -- 19.3 AMD's Real Time Dispatching and Agent Scheduling.
19.4 ASPROVA Advanced Planning and Scheduling -- 19.5 SIEMENS Opcenter APS -- 19.6 DELMIA Ortems Production Scheduler -- 19.7 CYBERPLAN - A System Developed by Cybertec -- 19.8 LEKIN - A System Developed in Academia -- 19.9 Discussion -- 20 What Lies Ahead? -- 20.1 Theoretical Research -- 20.2 Applied Research -- 20.3 Systems Development -- Appendices -- A Mathematical Programming: Formulations and Applications -- A.1 Linear Programming Formulations -- A.2 Integer Programming Formulations -- A.3 Bounds, Approximations, and Heuristics Based on Linear Programming -- A.4 Disjunctive Programming Formulations -- B Deterministic and Stochastic Dynamic Programming -- B.1 Deterministic Dynamic Programming -- B.2 Stochastic Dynamic Programming -- C Constraint Programming -- C.1 Constraint Satisfaction -- C.2 Constraint Programming -- C.3 An Example of a Constraint Programming Language -- C.4 Constraint Programming vs. Mathematical Programming -- D Complexity Theory -- D.1 Preliminaries -- D.2 Polynomial Time Solutions versus NP-Hardness -- D.3 Examples -- D.4 Fixed Parameter Tractability -- D.5 Approximation Algorithms and Schemes -- E Complexity Classification of Deterministic Scheduling Problems -- F Overview of Stochastic Scheduling Problems -- G Selected Scheduling Systems -- H The Lekin System -- H.1 Formatting of Input and Output Files -- H.2 Linking Scheduling Programs -- References -- Subject Index -- Name Index.
Record Nr. UNINA-9910635388903321
Pinedo Michael  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Scheduling : theory, algorithms, and systems / Michael L. Pinedo
Scheduling : theory, algorithms, and systems / Michael L. Pinedo
Autore Pinedo, Michael L.
Edizione [5. ed]
Pubbl/distr/stampa Cham, : Springer, 2016
Descrizione fisica XX, 670 p. : ill. ; 24 cm
Soggetto topico 60K37 - Processes in random environments [MSC 2020]
68M20 - Performance evaluation, queueing, and scheduling in the context of computer systems [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
90B36 - Scheduling theory, stochastic in operations research [MSC 2020]
90B35 - Scheduling theory, deterministic in operations research [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0115337
Pinedo, Michael L.  
Cham, : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Scheduling [[electronic resource] ] : Theory, Algorithms, and Systems / / by Michael L. Pinedo
Scheduling [[electronic resource] ] : Theory, Algorithms, and Systems / / by Michael L. Pinedo
Autore Pinedo Michael L
Edizione [5th ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XX, 670 p. 124 illus., 21 illus. in color.)
Disciplina 658.53
Soggetto topico Operations research
Management science
Industrial engineering
Production engineering
Probabilities
System theory
Operations Research, Management Science
Industrial and Production Engineering
Probability Theory and Stochastic Processes
Systems Theory, Control
ISBN 3-319-26580-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Supplementary Electronic Material -- Introduction -- Part I: Deterministic Models -- Deterministic Models: Preliminaries -- Single Machine Models (Deterministic) -- Advanced Single Machine Models (Deterministic) -- Parallel Machines Models (Deterministic) -- Flow Shops and Flexible Flow Shops (Deterministic) -- Job Shops (Deterministic) -- Open Shops (Deterministic) -- Part II Stochastic Models -- Stochastic Models: Preliminaries -- Single Machine Models (Stochastic) -- Single Machine Models with Release Dates (Stochastic) -- Parallel Machine Models (Stochastic) -- Flow Shops, Job Shops and Open Shops (Stochastic) -- Part III Scheduling in Practice -- General Purpose Procedures for Deterministic Scheduling -- More Advanced General Purpose Procedures -- Modeling and Solving Scheduling Problems in Practice -- Design and Implementation of Scheduling Systems: Basic Concepts -- Design and Implementation of Scheduling Systems: More Advanced Concepts -- Examples of System Designs and Implementations -- What Lies Ahead? -- Appendices.
Record Nr. UNINA-9910254081603321
Pinedo Michael L  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Scheduling : theory, algorithms, and systems / Michael L. Pinedo
Scheduling : theory, algorithms, and systems / Michael L. Pinedo
Autore Pinedo, Michael L.
Edizione [5. ed]
Pubbl/distr/stampa Cham, : Springer, 2016
Descrizione fisica XX, 670 p. : ill. ; 24 cm
Soggetto topico 60K37 - Processes in random environments [MSC 2020]
68M20 - Performance evaluation, queueing, and scheduling in the context of computer systems [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
90B36 - Scheduling theory, stochastic in operations research [MSC 2020]
90B35 - Scheduling theory, deterministic in operations research [MSC 2020]
Soggetto non controllato Applications of schedule
Decision making
Deterministic models
Scheduling
Stochastic models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0115337
Pinedo, Michael L.  
Cham, : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui