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9780471115939

Design and Analysis of Lean Production Systems

by ;
  • ISBN13:

    9780471115939

  • ISBN10:

    0471115932

  • Edition: 1st
  • Format: Paperback
  • Copyright: 2001-11-16
  • Publisher: Wiley

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Summary

This book covers the design and improvement of single and multistage production systems. Following the standard production planning and scheduling decision hierarchy, it describes the inputs and outputs at each level of the decision hierarchy and one or more decision approaches. The assumptions leading to each approach are included along with the details of the model and the corresponding solution. Modern system concepts and the engineering methods for creating lean production systems are included.

Author Biography

Ronald G. Askin is the author of Design and Analysis of Lean Production Systems, published by Wiley. Jeffrey B. Goldberg is the author of Design and Analysis of Lean Production Systems, published by Wiley.

Table of Contents

Preface vii
The Industrial Enterprise
1(18)
Measures of Competitiveness
3(1)
Functional Areas of the Firm
3(1)
Product Design, Manufacture, and Delivery
3(8)
Integrated Product, Process, Tooling, and Test Design
5(5)
Manufacturing
10(1)
Distribution
10(1)
Maintenance and Support
10(1)
Disposal
11(1)
Business Processes
11(2)
Accounting Systems: Acquisition and Management of Model Data
13(4)
Summary
17(1)
References
17(1)
Problems
18(1)
Introduction to the Production System and the Role of Inventory
19(31)
The Production System
19(9)
System Objectives
19(1)
System Components and Hierarchy
20(3)
Types of Production Systems
23(1)
Physical Organization Schemes
23(1)
Key Resources
24(1)
Product Flow Control
25(1)
Order Initiation
25(1)
Production Authorization
26(1)
Product Volume and Variety
27(1)
Product Structure--Fabrication and Assembly
27(1)
Time Horizon (Static vs. Dynamic Environments)
28(1)
The Role of Inventory
28(7)
Inventory Definitions and Decisions
28(1)
Types of Inventory
29(2)
Justification of Inventory
31(1)
Inventory Costs and Tradeoffs
31(1)
Ordering and Setup Costs
32(1)
Inventory Carrying Costs
33(1)
Shortage Costs
33(1)
The Trade Offs: Inventory vs. Setup and Shortages
34(1)
The Role of Information
35(2)
Principles of Production Systems
37(6)
Learning Curves: Decreasing Marginal Costs
37(1)
The Product Demand Life Cycle
38(1)
Production Setups Drive Operations for Low- and Medium-Volume Products
39(1)
Inventory Is Needed to Support Production
40(2)
Capacity Balancing
42(1)
Customer-Defined Value
42(1)
Large Inventories Imply Long Throughput Times
42(1)
Throughput Time ≥ Cumulative Move and Processing Time for a Transfer Batch
43(1)
Production System Models
43(3)
Definition of a Model
43(1)
Role of Models
44(2)
A Systems Perspective
46(1)
Summary
47(1)
References
48(1)
Problems
48(2)
Market Characterization
50(34)
Forecasting Systems
50(4)
Purpose and Use of Forecasts
51(1)
Hierarchical Forecasting Systems
51(1)
Model Building
52(1)
Checking Model Adequacy
53(1)
Time Series Extrapolation for Short-Term Forecasting
54(14)
Simple Exponential Smoothing
54(2)
Seasonal Forecasting Methods (Winter's)
56(1)
Updating Equations
56(2)
Forecasting Equation
58(1)
Initialization
58(3)
Tracking Signals and Monitoring of Forecasts
61(2)
Adaptive Control
63(1)
Time Series Decomposition
63(4)
Box-Jenkins Time Series Models
67(1)
Medium-Term Extrapolative and Causal Models
68(10)
Linear Regression Methods
68(1)
Parameter Estimation
69(3)
Model Adequacy
72(3)
Model Building
75(3)
Econometric Models
78(1)
Judgmental Forecasting
78(2)
The Delphi Method
79(1)
Market Surveys
79(1)
Combining Forecasts
80(1)
Summary
80(1)
References
81(1)
Problems
81(3)
Manufacturing Strategy and the Supply Chain
84(46)
Manufacturing Strategy
84(12)
Dimensions of Manufacturing Strategy
85(1)
Core Competencies
85(1)
Customer Markets and Distribution
86(1)
Vertical Integration
86(1)
The Level of Flexibility
87(1)
Supporting Decisions
88(1)
Make vs. Buy Decision
88(1)
Make-to-Stock vs. Make-to-Order
89(2)
Selection of Technologies and Equipment
91(2)
Justification of New Systems and Technologies
93(3)
Supply Chain Management Concepts
96(25)
Global Logistics
96(3)
Logistics Information Systems
99(1)
Variance Acceleration: The Bullwhip Effect
100(9)
Product Design and Customization
109(1)
Vendor Selection, Certification, and Contracting
109(1)
Operational Decisions in Distribution Systems
110(1)
Locating Inventory
111(1)
Basic Trade-Off: Centralization vs. Responsiveness
112(1)
Distributing Inventory Through the Supply Chain
113(4)
Echelon vs. Installation Accounting
117(4)
Multifacility Location-Allocation Models: Designing the Logistics Network
121(3)
Synthesizing the Concepts
124(1)
Summary
124(1)
References
125(1)
Problems
125(3)
Case Study: Elba Electronics
128(2)
Aggregate Planning
130(39)
Planning Trade-Offs: Inventory, Workforce Changes, Overtime, Shortages
132(1)
Basic Network Models
133(5)
Linear Programming Models
138(17)
Dynamic, Single-Stage Models
139(7)
Dynamic Multistage Models
146(1)
Multistage Production Facilities
147(2)
Multifacility Production-Distribution Networks
149(6)
Schedule Generation with Lot-Sizing
155(3)
Parametric Production Planning
158(1)
Other Approaches
159(1)
Disaggregation
160(3)
Single-Cycle Run-Out Time Model
160(2)
Multiple Cycle Disaggregation
162(1)
Run-Out Time with Dynamic Demand
163(1)
Summary
163(1)
References
164(1)
Problems
164(4)
Case Study: 3F Manufacturing
168(1)
Single-Stage Inventory Control
169(52)
Reorder Point Inventory Models for Static, Deterministic Demand
169(17)
Economic Order Quantity (EOQ) Model
169(3)
Economic Manufactured Quantity Model
172(4)
The Case of Fixed Setup Cost
176(1)
Price Breaks
177(2)
Multiproduct Coordination Models
179(1)
Organizational Constraints
179(2)
Rotation Cycle Policies
181(3)
Lead-Time Minimization
184(2)
Reorder Point Inventory Models for Stochastic Demand
186(15)
Service Levels
186(1)
Continuous Review Systems
187(7)
Periodic Review Systems
194(1)
Order-Up-to R Policies
194(2)
Single-Period Model
196(4)
Discrete and Slow Demand
200(1)
Multiproduct Systems
201(1)
Dynamic Models
201(12)
Infinite Capacity, Dynamic Lot-Sizing Models
202(1)
Continuous Review: A Simple Runout Time Model
202(1)
Periodic Review: The Wagner-Whitin Algorithm
203(5)
Rolling Schedules and the Silver-Meal Heuristic
208(1)
Limited Capacity Models
209(4)
Model Implementation
213(2)
ABC Analysis
213(1)
Exchange Curves
214(1)
Extensions
215(1)
Summary
215(1)
References
216(1)
Problems
216(5)
Decentralized Pull Systems
221(48)
Techniques for Production Authorization
221(4)
Information Requirements for Production Operations
222(3)
Kanban Systems
225(25)
The Kanban Authorization Concept
226(1)
Single-Kanban System
226(1)
Dual-Kanban Systems
227(2)
Hybrid Single-Kanban Systems
229(1)
Rules for Scheduling Kanban Production
229(3)
Integration Through the Supply Chain
232(1)
Specifying Parameter Values
233(1)
Selection of Container Size
233(2)
Selecting the Number of Kanbans
235(4)
Selection of Production Quantity
239(1)
Environmental Requirements for Kanban Systems
240(3)
Average Inventory Level
243(4)
Dynamic Management of WIP Levels
247(1)
Defining the System Control Points
248(2)
CONWIP: A Constant Work-in-Process Pull Alternative
250(11)
Prioritizing Order Releases
252(2)
Performance Evaluation of CONWIP Systems
254(6)
CONWIP Variations and Extensions
260(1)
Summary
261(1)
References
262(1)
Problems
263(3)
Case Study: Safe-T Lock Company
266(3)
Multistage Production Systems: Materials Requirements Planning for Dependent Demand
269(41)
Materials Requirements Planning Basics
270(5)
Data and Support System Requirements
270(2)
Bill of Materials and Requirements Matrix
272(3)
Requirements Explosion and Order Release Planning
275(7)
Scrap Losses
281(1)
Safety Stock and Safety Lead Time
281(1)
Capacity Planning
282(6)
Rough-Cut Capacity Planning
283(2)
Capacity Requirements Planning
285(2)
Load Reports
287(1)
Incorporating Stochastic Behavior
288(1)
Lot-Sizing Decisions
288(3)
Managing Change
291(8)
Net Change vs. Regenerative Updates
291(2)
Order Issuance
293(2)
Order Pegging
295(1)
Firm-Planned Orders
296(3)
Limitations and Reality of MRP
299(3)
Environmental Assumptions
299(1)
Structural Limitations
300(2)
Extensions and Integration Into the Firm
302(4)
Manufacturing Resources Planning (MRP II)
302(1)
Enterprise Resources Planning (ERP)
303(1)
Hybrid Systems
303(3)
MRP Performance Level
306(1)
Summary
306(1)
References
307(1)
Problems
307(3)
Multistage Models
310(42)
Multistage Product Structures
310(2)
Types Of Inventory
312(2)
Inventory Costs
314(1)
Linear Models For Low Setup Time (Non-Bottleneck) Facility
315(3)
Continuous Time Models for Stationary Data
318(9)
Assembly Structures-Lot Aggregation
318(2)
Assembly Structures-Lot Splitting
320(2)
Reorder Cycle Policies-Power-of-Two Heuristics for Assembly Structures
322(2)
General Structures
324(3)
Discrete Time Models for Non-Stationary Data
327(20)
Serial Structures
328(2)
Assembly Structures
330(2)
Optimal Solution to ASE
332(1)
Heuristic Solution to ASE--Level by Level Lot Sizing with Cost Adjustments
333(3)
Heuristic Solution to AKG-e--Parallel Heuristic
336(1)
Schedule Construction for the t + 1 Period Problem
337(2)
Schedule Selection for the t + 1 Period Problem
339(3)
General Product Structures
342(1)
Afentakis and Gavish Model
342(2)
Integer Programming Approaches
344(3)
Application
347(1)
Summary
348(1)
References
348(1)
Problems
349(3)
Lean Manufacturing and the Just-in-Time Philosophy
352(56)
Lean, Just-in-Time Production Systems
352(1)
Improving the Production Environment
353(20)
Eliminating Waste
353(2)
Employee Cross-Training and Job Rotation
355(2)
Employee Empowerment and Involvement
357(1)
JIT Purchasing
358(1)
Impact of Reducing Variability
358(6)
Techniques for Mistake-Proofing Processes
364(2)
Economics of Setup Time Reduction
366(3)
Technology of Setup Time Reduction
369(4)
Quality Engineering
373(17)
Statistical Process Control
373(1)
Determining Process Capability
374(2)
Control Charts for Monitoring Statistical Control
376(1)
X-bar and S Charts for Variables Data
377(5)
Proportion Defective Charts for Attribute Data
382(1)
Process Adjustments During Setup
383(2)
Design of Experiments for Process Optimization
385(1)
Process Improvement vs. Product Grading
386(1)
Total Productive Maintenance
386(4)
Improving Product Flow
390(10)
Process Flow Charts
391(1)
Forming Manufacturing Cells
392(3)
Capacity Balancing
395(5)
The Transition to Lean
400(2)
Was Taylor Lean?
400(1)
From Mass to Lean
400(1)
Push vs. Pull Control
401(1)
Summary
402(1)
References
402(1)
Problems
402(4)
Case Study: Dream Desk Company
406(2)
Shop Scheduling
408(62)
Scheduling System Requirements, Goals and Measures of Performance
409(5)
Order Release Strategies
414(4)
Dispatching Approaches
415(2)
Mathematical Programming Approaches
417(1)
Bottleneck Scheduling
418(4)
The Theory of Constraints (TOC)
419(1)
Identification of Bottlenecks
420(1)
Forward and Backward Scheduling
421(1)
Single-Machine Scheduling
422(15)
Flow-Time Related Criteria
423(4)
Lateness and Tardiness Related Criteria
427(10)
Flow-Shop Scheduling
437(7)
Scheduling Two Machines-Johnson's Rule
438(3)
M-Machine Flow Shops
441(3)
Job Shop Scheduling
444(20)
Real-Time Dispatching Rules for Multiple Machines
444(2)
Mathematical Programming Approaches
446(16)
Intelligent Scheduling Systems
462(2)
Summary
464(1)
References
464(1)
Problems
465(5)
Shop Floor Control: Systems and Extensions
470(45)
Control System Architecture
471(2)
Hierarchical Control Systems
471(1)
Heterarchical Control Systems
472(1)
Manufacturing Execution Systems
473(2)
Design and Control of Flow Shop Systems
475(25)
Assembly Line Balancing
476(1)
Ranked Positional Weight
477(5)
Random Processing Times and Buffers
482(2)
Mixed-Model Releases
484(1)
Determining Workstation Spacing
485(4)
Lot-Streaming
489(5)
Flexible Flow Lines
494(6)
Re-Entrant Flow Lines
500(2)
Tool Management Systems
502(1)
Flexible Manufacturing Systems
503(7)
Formation of Part Batches
505(2)
Tool Loading
507(2)
Resource Allocation
509(1)
Summary
510(1)
References
510(1)
Problems
511(4)
Appendices 515(8)
IB Standard Normal Distribution Function
515(1)
IB Unit Normal Linear Loss (L(u))
516(1)
II Linear Programming
517(6)
Index 523

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