Inventory and production management in supply chains
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Datensatz im Suchindex
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| adam_text | Titel: Inventory and production management in supply chains
Autor: Silver, Edward A
Jahr: 2017
Contents
Preface.............................................................................................................xix
Acknowledgments..................................xxiii
Authors............................................................................................................xxv
SECTION 1 THE CONTEXT AND IMPORTANCE OF INVENTORY
MANAGEMENT AND PRODUCTION PLANNING
1 The Importance of Inventory Management and Production Planning and
Scheduling...............................................................................................3
1.1 Why Aggregate Inventory Investment Fluctuates: The Business Cycle.................7
1.2 Corporate Strategy and the Role of Top Management.....................................8
1.3 The Relationship of Finance and Marketing to Inventory Management and
Production Planning and Scheduling.........................................................10
1.3.1 Finance....................................................................................10
1.3.2 Marketing................................................................................11
1.4 Operations Strategy...............................................................................12
1.4.1 Mission...................................................................................13
1.4.2 Objectives................................................................................13
1.4.3 Management Levers....................................................................15
1.4.4 General Comments.....................................................................16
1.5 Measures of Effectiveness for Inventory Management and Production
Planning and Scheduling Decisions...........................................................17
1.6 Summary...........................................................................................18
Problems....................................................................................................18
References...................................................................................................20
2 Frameworks for Inventory Management and Production Planning and
Scheduling..............................................................................................23
2.1 The Diversity of Stock-Keeping Units........................................................23
2.2 The Bounded Rationality of a Human Being...............................................24
2.3 Decision Aids for Managing Diverse Individual Items....................................25
2.3.1 Conceptual Aids........................................................................25
2.3.2 Physical Aids.............................................................................25
2.4 Frameworks for Inventory Management.....................................................26
2.4.1 Functional Classifications of Inventories...........................................26
2.4.2 The A-B-C Classification as a Basis for Designing Individual Item
Decision Models........................................................................28
2.5 A Framework for Production Planning and Scheduling...........................31
2.5.1 A Key Marketing Concept: The Product Life Cycle.............................31
2.5.2 Different Types of Production Processes...........................................33
2.5.3 The Product-Process Matrix..........................................................37
2.6 Costs and Other Important Factors....................................................40
2.6.1 Cost Factors.........................................................................40
2.6.2 Other Key Variables....................................................................44
2.7 Three Types of Modeling Strategies...................................................46
2.7.1 Detailed Modeling and Analytic Selection of the Values of a Limited
Number of Decision Variables.......................................................47
2.7.2 Broader-Scope Modeling with Less Optimization...............................47
2.7.3 Minimization of Inventories with Little Modeling...............................47
2.8 The Art of Modeling...............................................47
2.9 Explicit Measurement of Costs...................................49
2.10 Implicit Cost Measurement and Exchange Curves.........................................52
2.11 The Phases of a Major Study of an Inventory Management or Production
Planning and Scheduling System..............................................................53
2.11.1 Consideration....................*......................................................54
2.11.2 Analysis...................................................................................55
2.11.3 Synthesis..................................................................................57
2.11.4 Choosing among Alternatives........................................................57
2.11.5 Control...................................................................................58
2.11.6 Evaluation................................................................................58
2.11.7 General Comments.....................................................................58
2.11.8 Transient Effects........................................................................59
2.11.9 Physical Stock Counts.................................................................59
2.12 Summary...........................................................................................61
Problems....................................................................................................61
Appendix 2A: The Lognormal Distribution.........................................................68
References...................................................................................................70
3 Forecasting Models and Techniques..............................................................73
3.1 The Components of Time-Series Analysis...................................................75
3.2 The Three Steps Involved in Statistically Forecasting a Time Series....................77
3.3 Some Aggregate Medium-Range Forecasting Methods....................................78
3.3.1 Regression Procedures.................................................................79
3.4 Individual-Item, Short-Term Forecasting: Models and Procedures.....................81
3.4.1 The Simple Moving Average........................................................ 82
3.4.2 Simple Exponential Smoothing..................................................... 84
3.4.3 Exponential Smoothing for a Trend Model.......................................88
3.4.4 Winters Exponential Smoothing Procedure for a Seasonal Model............92
3.4.5 Selection of Smoothing Constants...................................... 101
3.5 Measuring the Performance of a Forecasting Process....................................104
3.5.1 Measures of Forecast Accuracy.............................................105
3.5.2 Estimating the Standard Deviation of Forecast Errors
over a Lead Time.......................................................................109
3.5.3 Monitoring Bias...............................................................111
3.5.4 Corrective Actions in Statistical Forecasting.....................................115
3.5.5 Probability Distributions of Forecast Errors.....................................117
3.6 Handling Anomalous Demand..............................................................117
3.7 Incorporation of Human Judgment.........................................................118
3.7.1 Factors Where Judgment Input Is Needed.......................................118
3.7.2 Guidelines for the Input and Monitoring of Judgment.......................119
3.8 Dealing with Special Classes of Individual Items.........................................120
3.8.1 Items with Limited History.........................................................120
3.8.2 Intermittent and Erratic Demand................................................. 122
3.8.3 Replacement or Service Parts.......................................................123
3.8.4 Terminal Demand....................................................................124
3.9 Assessing Forecasting Procedures: Tactics and Strategy..................................125
3.9.1 Statistical Accuracy of Forecasts....................................................125
3.9.2 Some Issues of a More Strategic Nature.......................................... 126
Problems..................................................................................................128
Appendix 3A: Derivations.............................................................................135
References.................................................................................................137
SECTION II REPLENISHMENT SYSTEMS FOR MANAGING
INDIVIDUAL ITEM INVENTORIES WITHIN A FIRM
4 Order Quantities When Demand Is Approximately Level................................. 145
4.1 Assumptions Leading to the Basic EOQ...................................................146
4.2 Derivation of the EOQ........................................................................147
4.2.1 Numerical Illustration...............................................................151
4.3 Sensitivity Analysis..............................................................................152
4.4 Implementation Aids...........................................................................154
4.4.1 Numerical Illustration...............................................................155
4.5 Quantity Discounts............................................................................155
4.5.1 Numerical Illustrations..............................................................158
4.5.2 Item A (An Illustration of Case a of Figure 4.5)................................159
4.5.3 Item B (An Illustration of Case b of Figure 4.5)................................159
4.5.4 Item C (An Illustration of Case c of Figure 4.5)................................160
4.6 Accounting for inflation.......................................................................160
4.6.1 Price Established Independent of Ordering Policy.............................161
4.6.2 Price Set as a Fixed Fractional Markup on Unit
Variable Cost..........................................................................163
4.7 Limits on order sizes............................................................................164
4.7.1 Maximum Time Supply or Capacity Restriction...............................164
4.7.2 Minimum Order Quantity.........................................................165
4.7.3 Discrete Units.........................................................................165
4.8 Finite Replenishment Rate: The Economic Production Quantity....................166
4.9 Incorporation of Other Factors..............................................................168
4.9.1 Nonzero Constant Lead Time That Is Known with
Certainty...............................................................................168
4.9.2 Nonzero Payment Period............................................................169
4.9.3 Different Types of Carrying Charge..............................................169
4.9.4 Multiple Setup Costs: Freight Discounts ......................................170
4.9.5 A Special Opportunity to Procure.............................................172
4.10 Selection of the Carrying Charge (r), the Fixed Cost per Replenishment (A),
or the Ratio Ajr Based on Aggregate Considerations: The Exchange Curve.......176
4.10.1 Exchange Curve Illustration............................................177
4.11 Summary......................................................179
Problems............................................................179
Appendix 4A: Derivations..............................................187
References.................................................................193
5 Lot Sizing for Individual Items with Time-Varying Demand.............................199
5.1 The Complexity of Time-Varying Demand...............................................200
5.2 The Choice of Approaches....................................................................201
5.3 General Assumptions and a Numerical Example.........................................202
5.3.1 The Assumptions.....................................................................202
5.3.2 A Numerical Example...............................................................203
5.4 Use of a Fixed EOQ............................................................................204
5.5 The Wagner-Whitin Method: An Optimal Solution under an Additional
Assumption......................................................................................205
5.5.1 The Algorithm........................................................................206
5.5.2 Potential Drawbacks of the Algorithm...........................................209
5.6 Heuristic Approaches for a Significantly Variable Demand Pattern..................212
5.6.1 The Silver-Meal, or Least Period Cost, Heuristic..............................212
5.6.2 The EOQ Expressed as a Time Supply (POQ).................................216
5.6.3 Lot-for-Lot.............................................................................216
5.6.4 Least Unit Cost.......................................................................216
5.6.5 Part-Period Balancing................................................................216
5.6.6 Performance of the Heuristics......................................................218
5.6.7 When to Use Heuristics.............................................................219
5.6.8 Sensitivity to Errors in Parameters................................................220
5.6.9 Reducing System Nervousness.....................................................221
5.7 Handling of Quantity Discounts............................................................221
5.8 Aggregate Exchange Curves...................................................................223
5.9 Summary.........................................................................................223
Problems................................................................................................ 223
Appendix 5A: Dynamic Programming and Linear Programming Formulations...........232
References........................................................................................................................................................233
6 Individual Items with Probabilistic Demand.................................................237
6.1 Some Important Issues and Terminology....................................................................238
6.11 Different Definitions of Stock Level...................................... 238
6.1.2 Backorders versus Lost Sales................................................ 239
6.1.3 Three Key Issues to Be Resolved by a Control System under
Probabilistic Demand................................................................................................239
6.2 The Importance of the Item: A, B, and C Classification........................ 240
6.3 Continuous versus Periodic Review..............................................................240
6.4 The Form of the Inventory Policy: Four Types of Control Systems 241
6.4.1 Order-Point, Order-Quantity (t, Q) System....................................242
6.4.2 Order-Point, Order-Up-to-Level (s, S) System.................................242
6.4.3 Periodic-Review, Order-Up-to-Level (/?, S) System............................243
6.4.4 (R, s, S) System........................................................................244
6.5 Specific Cost and Service Objectives........................................................245
6.5-1 Choosing the Best Approach.......................................................246
6.5.2 SSs Established through the Use of a Simple-Minded
Approach...............................................................................246
6.5.3 SSs Based on Minimizing Cost....................................................248
6.5.4 SSs Based on Customer Service....................................................248
6.5.5 SSs Based on Aggregate Considerations..........................................250
6.6 Two Examples of Finding the Reorder Point s in a Continuous-Review,
Order-Point, Order-Quantity (s, Q) System..............................................250
6.6.1 Protection over the Replenishment Lead Time.................................251
6.6.2 An Example Using a Discrete Distribution......................................252
6.7 Decision Rules for Continuous-Review, Order-Point, Order-Quantity (s, Q)
Control Systems.................................................................................256
6.7.1 Common Assumptions and Notation............................................257
6.7.2 General Approach to Establishing the Value of 5...............................259
6.7.3 Common Derivation.................................................................260
6.7.4 Decision Rule for a Specified Safety Factor (k).................................263
6.7.5 Decision Rule for a Specified Cost (B ) per Stockout
Occasion................................................................................263
6.7.6 Decision Rule for a Specified Fractional Charge {Bj) per Unit Short......266
6.7.7 Decision Rule for a Specified Fractional Charge (S3) per Unit Short
per Unit Time.........................................................................268
6.7.8 Decision Rule for a Specified Charge (S4) per Customer Line Item
Short....................................................................................269
6.7.9 Decision Rule for a Specified Probability (Si) of No Stockout per
Replenishment Cycle.................................................................269
6.7.10 Decision Rule for a Specified Fraction (S%) of Demand Satisfied
Direcdy from Shelf...................................................................271
6.7.11 Decision Rule for a Specified Average Time (TBS) between Stockout
Occasions...............................................................................273
6.7.12 Decision Rule for the Allocation of a TSS to Minimize the ETSOPY.....274
6.7.13 Decision Rule for the Allocation of a TSS to Minimize the ETVSPY.....274
6.7.14 Nonnormal Lead Time Demand Distributions................................275
6.8 Implied Costs and Performance Measures.................................................277
6.9 Decision Rules for Periodic-Review, Order-Up-to-Level (R, S) Control
Systems............................................................................................277
6.9.1 The Review Interval (R).............................................................278
6.9.2 The Order-Up-to-Level (S).........................................................278
6.9.3 Common Assumptions and Notation............................................280
6.9.4 Common Derivation.................................................................280
6.10 Variability in the Replenishment Lead Time Itself.......................................282
6.10.1 Approach 1: Use of the Total Demand over the Full
Lead Time..............................................................................283
6.10.2 Approach 2: Use of the Distribution of Demand Rate per Unit Time
Combined with the Lead Time Distribution.................................284
6.10.3 Nonnormal Distributions..............................................285
6.11 Exchange Curves Involving SSs for (s, Q) Systems........................286
6.11.1 Single Item Exchange Curve: Inventory versus Service....................287
6.11.2 An Illustration of the Impact of Moving Away from Setting Reorder
Points as Equal Time Supplies.....................................................288
6.11.3 Derivation of the SS Exchange Curves...........................................290
6.11.4 Composite Exchange Curves......................................................293
6.12 Summary..................................................................294
Problems.....................................................................295
Appendix 6A: Some Illustrative Derivations and Approximations............................304
References...................................................................312
SECTION III SPECIAL CLASSES OF ITEMS
7 Managing the Most Important Inventories....................................................319
7.1 Nature of Class A Items........................................................................319
7.2 Guidelines for Control of A Items...........................................................320
7.3 Simultaneous Determination of r and Q for Fast-Moving Items......................322
7.3.1 Decision Rules.........................................................................323
7.3.2 Cost Penalties..........................................................................325
7.3.3 Further Comments...................................................................325
7.4 Decision Rules for (s, S) Systems............................................................327
7.4.1 Simple Sequential Determination of s and S....................................328
7.4.2 Simultaneous Selection of s and S Using the Undershoot
Distribution............................................................................328
7.4.3 Comparison of the Methods........................................................331
7.5 Decision Rules for (R, s, S) Systems.........................................................332
7.5.1 Decision Rule for a Specified Fractional Charge (B$)
per Unit Short at the End of Each Period........................................332
7.5.2 Decision Rule for a Specified Fraction (Pi) of Demand Satisfied
Directly from Shelf...................................................................334
7.6 Coping with Nonstationary Demand.......................................................337
7.7 Comments on Multiple Sources of Supply and Expediting ...........................339
7.8 Summary..................................................... ................................. 241
Problems........................................................................................................................................................................241
Appendix 7A: Simultaneous Solutions for Two Control Parameters......................... 345
References..................................................................................................................................246
8 Managing Slow-Moving and Low-Value (Class C) Inventories...........................351
8.1 Order-Point, Order-Quantity (s, Q) Systems for Slow-Moving A Items............351
8.1.1 B) Cost Measure for Very-Slow-Moving, Expensive
Items (Q = 1)............................................................................
8.1.2 Case of Q 1 and a B Cost Structure................................. 256
8.1.3 Simultaneous Determination of s and Q for Slow-Moving Items........ 356
8.2 Controlling the Inventories of Intermittent Demand Items..................................357
8.3 Nature of C Items...............................................................................358
8.4 Control of C Items Having Steady Demand..............................................359
8.4.1 Inventory Records....................................................................359
8.4.2 Selecting the Reorder Quantity (or Reorder Interval).........................359
8.4.3 Selecting the Reorder Point (or Order-up-to Level)...........................360
8.4.4 Two-Bin System Revisited..........................................................361
8.4.5 Simple Form of the (R, S) System.................................................362
8.4.6 Grouping of Items....................................................................363
8.5 Control of Items with Declining Demand Patterns......................................363
8.5.1 Establishing the Timing and Sizes of Replenishments under
Deterministic Demand..............................................................363
8.5.2 Sizing of the Final Replenishment under Probabilistic Demand............364
8.6 Reducing Excess Inventories..................................................................365
8.6.1 Review of the Distribution by Value..............................................366
8.6.2 Rule for the Disposal Decision.....................................................368
8.6.3 Options for Disposing of Excess Stock...........................................370
8.7 Stocking versus Not Stocking an Item......................................................371
8.7.1 Relevant Factors.......................................................................371
8.7.2 Simple Decision Rule................................................................372
8.7.3 Some Extensions......................................................................373
8.8 Summary.........................................................................................374
Problems..................................................................................................374
Appendix 8A: Poisson Distribution and Some Derivations.....................................379
References.................................................................................................384
9 Style Goods and Perishable Items...............................................................387
9.1 Style Goods Problem...........................................................................388
9.2 Simplest Case: Unconstrained, Single-Item, Newsvendor Problem...................389
9.2.1 Determination of the Order Quantity by Marginal Analysis................389
9.2.2 An Equivalent Result Obtained through Profit
Maximization..........................................................................391
9.2.3 Case of Normally Distributed Demand..........................................392
9.2.4 Case of a Fixed Charge to Place the Order......................................394
9.2.5 Case of Discrete Demand...........................................................395
9.3 Single-Period, Constrained, Multi-Item Situation.......................................397
9.3.1 Numerical Illustration ...............................................................399
9.4 Postponed Product Differentiation..........................................................401
9.4.1 Value of Delayed Financial Commitment.......................................402
9.4.2 Value of Flexibility....................................................................403
9.5 More than One Period in Which to Prepare for the Selling Season...................408
9.6 Multiperiod Newsvendor Problem..........................................................408
9.7 Other Issues Relevant to the Control of Style Goods....................................409
9.7.1 Updadng of Forecasts................................................................409
9.7.2 Reorders and Markdowns...........................................................410
9.7.3 Reserving Capacity Ahead of Time...............................................411
9.7.4 Inventory Policies for Common Components..................................411
9.7.5 Other Research........................................................................412
9.8 Inventory Control of Perishable Items..........................413
9.9 Summary..........................................414
Problems................................................414
Appendix 9A: Derivations....................................422
References..............................................................427
SECTION IV MANAGING INVENTORY ACROSS MULTIPLE
LOCATIONS AND MULTIPLE FIRMS
10 Coordinated Replenishments at a Single Stocking Point...................................437
10.1 Advantages and Disadvantages of Coordination..........................................438
10 2 Deterministic Case: Selection of Replenishment Quantities in a Family
of Items..................................................................................439
10.2.1 Assumptions........................................................................... 439
10.2.2 Decision Rule..........................................................................440
10.2.3 A Bound on the Cost Penalty of the Heuristic Solution......................443
10.3 Deterministic Case with Group Discounts................................................443
10.3.1 Numerical Illustration...............................................................446
10.4 Case of Probabilistic Demand and No Quantity Discounts............................447
10.4.1 (S, c, s), or Can-Order, Systems....................................................448
10.4.2 Periodic Review System..............................................................448
10.5 Probabilistic Demand and Quantity Discounts...........................................451
10.5.1 A Full Truckload Application......................................................453
10.5.2 Numerical Illustration...............................................................454
10.6 Production Environment......................................................................456
10.6.1 Case of Constant Demand and Capacity: Economic Lot
Scheduling Problem..................................................................456
10.6.2 Case of Time-Varying Demand and Capacity: Capacitated
Lot Sizing...............................................................................461
10.6.3 Probabilistic Demand: The Stochastic Economic
Lot Scheduling Problem.............................................................463
10.7 Shipping Consolidation.......................................................................464
10.8 Summary.........................................................................................465
Problems..................................................................................................455
Appendix 10A: Derivation of Results in Section 10.2...........................................474
References....................................................................................................
11 Multiechelon Inventory Management..........................................................487
11.1 Multiechelon Inventory Management......................................................487
11.2 Structure and Coordination....................................................... 489
11.3 Deterministic Demand..................................................................................................................491
11.3.1 Sequential Stocking Points with Level Demand................................491
11.3.2 Other Results for the Case of Level Demand...................................495
11.3.3 Multiechelon Stocking Points with Time-Varying Demand.................496
11.4 Probabilistic Demand............................................................................498
11.4.1 Base Stock Control System..............................................................................501
11.4.2 Serial Situation..........................................503
11.4.3 Arborescent Situation................................................................506
11.5 Remaxmfacturing and Product Recovery...................................................513
11.5.1 Multiechelon Situation with Probabilistic Usage and
One-for-One Ordering.............................................................. 515
11.5.2 Some Extensions of the Multiechelon Repair Situation.......................520
11.5.3 Some Insights and Results for the More General Context of
Remanufacturing and Product Recovery.........................................521
11.6 Additional Insights.............................................................................523
11.6.1 Economic Incentives to Centralize Stocks.......................................523
11.6.2 Where to Deploy Stock..............................................................525
11.6.3 Lateral Transshipments..............................................................526
11.7 Summary.........................................................................................526
Problems..................................................................................................526
Appendix 11A: Derivation of the Logic for Computing the Best Replenishment
Quantities in a Deterministic, Two-Stage Process..........................530
References...............................................................................................531
12 Coordinating Inventory Management in the Supply Chain...............................543
12.1 Information Distortion in a Supply Chain................................................544
12.2 Collaboration and Information Sharing....................................................546
12.2.1 Sales and Operations Planning.....................................................546
12.2.2 Collaborative Forecasting...........................................................547
12.3 Vendor-Managed Inventory..................................................................548
12.4 Aligning Incentives.............................................................................548
12.4.1 Wholesale Price Contract...........................................................549
12.4.2 Buyback Contract....................................................................551
12.4.3 Revenue-Sharing Contract..........................................................553
12.4.4 Service-Level Agreements...........................................................554
12.4.5 Challenges Implementing Coordinating Agreements.........................554
12.5 Summary.........................................................................................555
Problems..................................................................................................555
References.................................................................................................556
SECTION V PRODUCTION MANAGEMENT
13 An Overall Framework for Production Planning and Scheduling.......................561
13.1 Characteristics of Different Production Processes........................................561
13.2 A Framework for Production Decision Making..........................................564
13.2.1 A Review of Anthony s Hierarchy of Managerial Decisions..................564
13.2.2 Integration at the Operational Level..............................................565
13.2.3 The Framework.......................................................................565
13.3 Options in Dealing with the Hierarchy of Decisions....................................571
13.3.1 Monolithic Modeling Approach...................................................571
13.3.2 Implicit Hierarchical Planning.....................................................572
13.3.3 Explicit Hierarchical Planning.....................................................572
13.3.4 The Hax-Meal Hierarchical Planning System..................................573
13.4 Summary.........................................................................................576
Problems 577
References...........................................577
14 Medium-Range Aggregate Production Planning...............................581
14.1 The Aggregate Planning Problem.......................................581
14.2 The Costs Involved...................................................585
14.2.1 Costs of Regular-Time Production.....................................585
14.2.2 Overtime Costs........................................................587
14.2.3 Costs of Changing the Production Rate.........................................587
14.2.4 Inventory Associated Costs.....................................................588
14.2.5 Costs of Insufficient Capacity in the Short Run................................589
14.3 The Planning Horizon.........................................................................590
14.4 Two Pure Strategies: Level and Chase.......................................................591
14.5 Feasible Solution Methods....................................................................592
14.5.1 General Comments...................................................................592
14.5.2 An Example of a Graphic-Tabular Method.....................................593
14.6 Linear Programming Models.................................................................599
14.6.1 Strengths and Weaknesses...........................................................601
14.6.2 The Inclusion of Integer Variables in LP Formulations.......................602
14.6.3 The Land Algorithm.................................................................603
14.7 Simulation Search Procedures................................................................603
14.8 Modeling the Behavior of Managers........................................................605
14.8.1 Management Coefficients Models.................................................605
14.8.2 Manpower Decision Framework...................................................607
14.9 Planning for Adjustments Recognizing Uncertainty.....................................607
14.9.1 The Production-Switching Heuristic.............................................608
14.10 Summary.........................................................................................609
Problems..................................................................................................610
References.................................................................................................617
15 Material Requirements Planning and Its Extensions........................................621
15.1 The Complexity of Multistage Assembly Manufacturing...............................622
15.2 The Weaknesses of Traditional Replenishment Systems in a
Manufacturing Setting.........................................................................623
15.3 Closed-Loop MRP..............................................................................624
15.4 Material Requirements Planning.............................................................626
15.4.1 Some Important Terminology......................................................626
15.4.2 Information Required for MRP...................................................630
15.4.3 The General Approach of MRP...................................................630
15.4.4 A Numerical Illustration of the MRP Procedure...............................633
15.4.5 The Material Requirements Plan and Its Uses..................................639
15.4.6 Low-Value, Common-Usage Items............................................... 639
15.4.7 Pegging................................................................................ 639
15.4.8 Handling Requirements Updates........................................... 640
15.4.9 Coping with Uncertainty in MRP......................................... 641
15.5 Capacity Requirements Planning............................................................642
15.6 Distribution Requirements Planning..........................................................................644
15.7 Weaknesses of MRP............................................................................645
15.8 ERP Systems.....................................................................................647
15.8.1 Enhancements to ERP Systems....................................................649
15.9 Summary.........................................................................................650
Problems..................................................................................................650
References.................................................................................................656
16 Just in-Time, Optimized Production Technology and Short-Range Production
Scheduling............................................................................................661
16.1 Production Planning and Scheduling in Repetitive Situations: Just in-Time.......662
16.1.1 Philosophy of JIT.....................................................................662
16.1.2 Kanban Control System.............................................................664
16.1.3 Benefits and Weaknesses of JIT....................................................669
16.2 Planning and Scheduling in Situations with Bottlenecks: Optimized
Production Technology........................................................................671
16.2.1 Philosophy of OPT...................................................................671
16.2.2 Drum-Buffer-Rope Scheduling....................................................676
16.2.3 A Related System: CONWIP......................................................677
16.2.4 Benefits and Weaknesses of OPT..................................................678
16.3 Short-Range Production Scheduling........................................................679
16.3.1 Issues in Short-Term Scheduling..................................................680
16.3.2 Techniques for Short-Term Scheduling..........................................684
16.3.3 Deterministic Scheduling of a Single Machine: Priority
Sequencing Rules.....................................................................688
16.3.4 General Job Shop Scheduling......................................................692
16.4 Summary.........................................................................................699
Problems..................................................................................................699
Appendix 16A: Proof that SPT Minimizes Total Flowtime.....................................703
References.................................................................................................704
17 Summary..............................................................................................713
17.1 Operations Strategy.............................................................................713
17.2 Changing the Givens...........................................................................714
17.3 Future Developments..........................................................................715
Appendix I: Elements of Lagrangian Optimization................................................717
Appendix II: The Normal Probability Distribution................................................723
Appendix III: Approximations and Excel Functions ...............................................743
Author Index................................................................................................749
Subject Index................................................................................................767
|
| any_adam_object | 1 |
| author | Silver, Edward A. 1937- Pyke, David F. 1954- Thomas, Douglas 1966- |
| author_GND | (DE-588)135569842 (DE-588)135569885 (DE-588)122435443 |
| author_facet | Silver, Edward A. 1937- Pyke, David F. 1954- Thomas, Douglas 1966- |
| author_role | aut aut aut |
| author_sort | Silver, Edward A. 1937- |
| author_variant | e a s ea eas d f p df dfp d t dt |
| building | Verbundindex |
| bvnumber | BV043868830 |
| classification_rvk | QP 500 QP 530 |
| classification_tum | WIR 778f WIR 527f |
| collection | ZDB-7-CRC ZDB-30-PQE ZDB-4-NLEBK ZDB-7-TFC |
| ctrlnum | (OCoLC)965553169 (DE-599)BVBBV043868830 |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1201/9781315374406 |
| edition | 4th edition |
| format | Electronic eBook |
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| id | DE-604.BV043868830 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-24T05:26:41Z |
| institution | BVB |
| isbn | 9781466558625 9781315374406 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029278748 |
| oclc_num | 965553169 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-1050 DE-20 DE-92 DE-945 |
| owner_facet | DE-91 DE-BY-TUM DE-1050 DE-20 DE-92 DE-945 |
| physical | 1 Online-Ressource (xxvii, 781 Seiten) |
| psigel | ZDB-7-CRC ZDB-30-PQE ZDB-4-NLEBK ZDB-7-TFC ZDB-30-PQE FHD01_PQE_Kauf ZDB-4-NLEBK TUM_PDA_EBSCOBAE_Kauf ZDB-7-CRC TUM_Einzelkauf |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| spellingShingle | Silver, Edward A. 1937- Pyke, David F. 1954- Thomas, Douglas 1966- Inventory and production management in supply chains Entscheidungsmodell (DE-588)4121201-0 gnd Produktionsplanung (DE-588)4047360-0 gnd Operations Management (DE-588)4549167-7 gnd Entscheidungsprozess (DE-588)4121202-2 gnd Lagerhaltung (DE-588)4034081-8 gnd Supply Chain Management (DE-588)4684051-5 gnd Management (DE-588)4037278-9 gnd Produktion (DE-588)4047347-8 gnd |
| subject_GND | (DE-588)4121201-0 (DE-588)4047360-0 (DE-588)4549167-7 (DE-588)4121202-2 (DE-588)4034081-8 (DE-588)4684051-5 (DE-588)4037278-9 (DE-588)4047347-8 |
| title | Inventory and production management in supply chains |
| title_auth | Inventory and production management in supply chains |
| title_exact_search | Inventory and production management in supply chains |
| title_full | Inventory and production management in supply chains Edward A. Silver, David F. Pyke, Douglas J. Thomas |
| title_fullStr | Inventory and production management in supply chains Edward A. Silver, David F. Pyke, Douglas J. Thomas |
| title_full_unstemmed | Inventory and production management in supply chains Edward A. Silver, David F. Pyke, Douglas J. Thomas |
| title_short | Inventory and production management in supply chains |
| title_sort | inventory and production management in supply chains |
| topic | Entscheidungsmodell (DE-588)4121201-0 gnd Produktionsplanung (DE-588)4047360-0 gnd Operations Management (DE-588)4549167-7 gnd Entscheidungsprozess (DE-588)4121202-2 gnd Lagerhaltung (DE-588)4034081-8 gnd Supply Chain Management (DE-588)4684051-5 gnd Management (DE-588)4037278-9 gnd Produktion (DE-588)4047347-8 gnd |
| topic_facet | Entscheidungsmodell Produktionsplanung Operations Management Entscheidungsprozess Lagerhaltung Supply Chain Management Management Produktion |
| url | https://doi.org/10.1201/9781315374406 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029278748&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT silveredwarda inventoryandproductionmanagementinsupplychains AT pykedavidf inventoryandproductionmanagementinsupplychains AT thomasdouglas inventoryandproductionmanagementinsupplychains |