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Imperfect Inventory Systems: Inventory and Production Management 2021 ed. [Mīkstie vāki]

  • Formāts: Paperback / softback, 595 pages, height x width: 235x155 mm, weight: 914 g, 134 Illustrations, black and white; VIII, 595 p. 134 illus., 1 Paperback / softback
  • Izdošanas datums: 20-Feb-2022
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030569764
  • ISBN-13: 9783030569761
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 595 pages, height x width: 235x155 mm, weight: 914 g, 134 Illustrations, black and white; VIII, 595 p. 134 illus., 1 Paperback / softback
  • Izdošanas datums: 20-Feb-2022
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030569764
  • ISBN-13: 9783030569761
This book examines inventory and production strategies that can reduce unexpected breakdown costs. It highlights different EPQ models to deal with such problems, providing optimal value derivations for decision variables. It provides proofs for concavity or convexity of objective functions. The chapters also include numerical examples for all the developed mathematical models. Imperfect Inventory Systems: Inventory and Production Management and Breakdown should be useful for professionals working on supply chains, but also researchers in operations research and inventory management.
1 Introduction
1(6)
1.1 Imperfect Items
2(1)
1.2 Scrap
2(1)
1.3 Rework
3(1)
1.4 Multi-product Single Machine
3(1)
1.5 Quality Considerations
4(1)
1.6 Maintenance
4(3)
References
4(3)
2 Imperfect EOQ System
7(146)
2.1 Introduction
7(1)
2.2 Literature Review
7(3)
2.2.1 Deterioration, Perishability, and Lifetime Constraints
8(1)
2.2.2 Imperfect-Quality Items
9(1)
2.3 EOQ Model with No Shortage
10(60)
2.3.1 Imperfect Quality
10(6)
2.3.2 Maintenance Actions
16(2)
2.3.3 Screening Process
18(5)
2.3.4 Learning Effects
23(14)
2.3.5 EOQ Models with Imperfect-Quality Items and Sampling
37(19)
2.3.6 Buy and Repair Options
56(5)
2.3.7 Entropy EOQ
61(9)
2.4 EOQ Model with Backordering
70(42)
2.4.1 Imperfect Quality and Inspection
70(4)
2.4.2 Multiple Quality Characteristic Screening
74(8)
2.4.3 Rejection of Defective Supply Batches
82(5)
2.4.4 Rework and Backordered Demand
87(14)
2.4.5 Learning in Inspection
101(8)
2.4.6 EOQ Model for Imperfect-Quality Items
109(3)
2.5 EOQ Model with Partial Backordering
112(41)
2.5.1 EOQ Model of Imperfect-Quality Items
112(6)
2.5.2 Screening
118(8)
2.5.3 Reparation of Imperfect Products
126(16)
2.5.4 Replacement of Imperfect Products
142(5)
References
147(6)
3 Scrap
153(82)
3.1 Introduction
153(2)
3.2 No Shortage
155(31)
3.2.1 Continuous Delivery
155(11)
3.2.2 Discrete Delivery
166(20)
3.3 Fully Backordered
186(37)
3.3.1 Continuous Delivery
186(37)
3.4 Partial Backordered
223(9)
3.4.1 Continuous Delivery
223(9)
3.5 Conclusion
232(3)
References
233(2)
4 Rework
235(132)
4.1 Introduction
235(1)
4.2 Literature Review
236(3)
4.3 No Shortage
239(22)
4.3.1 Imperfect Item Sales
239(5)
4.3.2 Rework Policy
244(5)
4.3.3 Imperfect Rework
249(5)
4.3.4 Quality Screening
254(7)
4.4 Backordering
261(57)
4.4.1 Simple Rework
261(7)
4.4.2 Defective Product
268(9)
4.4.3 Random Defective Rate: Same Production and Rework Rates
277(16)
4.4.4 Rework Process and Scraps
293(7)
4.4.5 Rework and Preventive Maintenance
300(7)
4.4.6 Random Defective Rate: Different Production and Rework Rates
307(5)
4.4.7 Imperfect Rework Process
312(6)
4.5 Partial Backordering
318(13)
4.5.1 Immediate Rework
318(6)
4.5.2 Repair Failure
324(7)
4.6 Multi-delivery
331(36)
4.6.1 Multi-delivery Policy and Quality Assurance
331(6)
4.6.2 Multi-delivery and Partial Rework
337(3)
4.6.3 Multi-delivery Single Machine
340(5)
4.6.4 Multi-product Two Machines
345(6)
4.6.5 Shipment Decisions for a Multi-product
351(6)
4.6.6 Pricing with Rework and Multiple Shipments
357(5)
References
362(5)
5 Multi-product Single Machine
367(130)
5.1 Introduction
367(1)
5.2 Literature Review
368(3)
5.3 No Shortage
371(30)
5.3.1 Simple Model
371(4)
5.3.2 Discrete Delivery
375(5)
5.3.3 Rework
380(5)
5.3.4 Auction
385(6)
5.3.5 Scrapped
391(10)
5.4 Backordering
401(48)
5.4.1 Defective Items
401(8)
5.4.2 Multidefective Types
409(10)
5.4.3 Interruption in Manufacturing Process
419(14)
5.4.4 Immediate Rework Process
433(10)
5.4.5 Repair Failure
443(6)
5.5 Partial Backordering
449(45)
5.5.1 Rework
449(11)
5.5.2 Repair Failure
460(1)
5.5.3 Scrapped
461(9)
5.5.4 Immediate Rework
470(9)
5.5.5 Preventive Maintenance v
479(15)
5.6 Conclusion
494(3)
References
494(3)
6 Quality Considerations
497(52)
6.1 Introduction
497(3)
6.2 Literature Review
500(1)
6.3 EOQ Model with No Return
501(14)
6.3.1 No Return Without Shortage
502(1)
6.3.2 Two Quality Levels with Backordering
502(4)
6.3.3 Learning in Inspection with Backordering
506(1)
6.3.4 Partial Backordering
506(9)
6.4 EOQ Model with Return
515(19)
6.4.1 Inspection and Sampling
515(7)
6.4.2 Inspection Error
522(3)
6.4.3 Different Defective Quality Levels and Partial Backordering
525(9)
6.5 EPQ Model Without Return
534(3)
6.5.1 Quality Assurance Without Shortage
535(1)
6.5.2 Quality Screening and Rework Without Shortage
536(1)
6.6 EPQ Model with Return
537(9)
6.6.1 Continuous Quality Characteristic Without Shortage
537(5)
6.6.2 Inspections Errors Without Shortage
542(4)
6.7 Conclusion
546(3)
References
547(2)
7 Maintenance
549(36)
7.1 Introduction
549(1)
7.2 No Shortage
550(28)
7.2.1 Preventive Maintenance
550(11)
7.2.2 Imperfect Preventive Maintenance
561(8)
7.2.3 Imperfect Maintenance and Imperfect Process
569(5)
7.2.4 Aggregate Production and Maintenance Planning
574(4)
7.3 Backordering
578(4)
7.3.1 Preventive Maintenance
578(4)
7.4 Partial Backordering
582(1)
7.4.1 Preventive Maintenance
582(1)
7.5 Conclusion
582(3)
References
582(3)
Index 585
Ata Allah Taleizadeh is an Associate Professor and the Head of the Supply Chain and Logistic Engineering Department at the University of Tehran. He received his Ph.D in Industrial Engineering at the Iran University of Science and Technology. He is an Associate Editor for many scientific journals including the Journal of Industrial Engineering and the International Journal of Applied and Computational Mathematics. His research interests include inventory and material management, pricing and revenue optimization, game theory, and uncertainty programming.