Inventory and production management in supply chains:
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Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
[2017]
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| Ausgabe: | fourth edition |
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| Online-Zugang: | DE-1050 DE-92 DE-863 DE-862 DE-91 DE-91 DE-20 DE-945 Volltext Inhaltsverzeichnis |
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| ISBN: | 9781466558625 9781315374406 |
| DOI: | 10.1201/9781315374406 |
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Datensatz im Suchindex
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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 |
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| ctrlnum | (OCoLC)965553169 (DE-599)BVBBV043868830 |
| discipline | Arbeitswissenschaften Wirtschaftswissenschaften |
| doi_str_mv | 10.1201/9781315374406 |
| edition | fourth edition |
| format | Electronic eBook |
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| id | DE-604.BV043868830 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-20T07:06:06Z |
| 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 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| owner_facet | DE-91 DE-BY-TUM DE-1050 DE-20 DE-92 DE-945 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| physical | 1 Online-Ressource (xxvii, 781 Seiten) |
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| publishDate | 2017 |
| publishDateSearch | 2017 |
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| 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 Management (DE-588)4037278-9 gnd Produktionsplanung (DE-588)4047360-0 gnd Lagerhaltung (DE-588)4034081-8 gnd Operations Management (DE-588)4549167-7 gnd Supply Chain Management (DE-588)4684051-5 gnd Entscheidungsmodell (DE-588)4121201-0 gnd Produktion (DE-588)4047347-8 gnd Entscheidungsprozess (DE-588)4121202-2 gnd |
| subject_GND | (DE-588)4037278-9 (DE-588)4047360-0 (DE-588)4034081-8 (DE-588)4549167-7 (DE-588)4684051-5 (DE-588)4121201-0 (DE-588)4047347-8 (DE-588)4121202-2 |
| 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 | Management (DE-588)4037278-9 gnd Produktionsplanung (DE-588)4047360-0 gnd Lagerhaltung (DE-588)4034081-8 gnd Operations Management (DE-588)4549167-7 gnd Supply Chain Management (DE-588)4684051-5 gnd Entscheidungsmodell (DE-588)4121201-0 gnd Produktion (DE-588)4047347-8 gnd Entscheidungsprozess (DE-588)4121202-2 gnd |
| topic_facet | Management Produktionsplanung Lagerhaltung Operations Management Supply Chain Management Entscheidungsmodell Produktion Entscheidungsprozess |
| 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 |