生产与运作分析

内容简介

学者Steven Nahmias所著《生产与运作分析》一书，以其翔实、精深的内容和严谨的体系著称，被很多的大学工业工程科系选为教材。该书内容涵盖了生产与运作系统和过程的各个方面，包括战略与竞争、预测、综合计划、对已知需求与不确定需求的库存控制、供应链管理、推动式与牵引式生产控制系统、作业调度、项目管理、质量保证、可靠性与维护等。书中论述条理清晰，易于被学生接受；拥有大量实际案例，是提供了一系列精彩的精简应用（Snapshot Application）实例，为学生提供学以致用的模板。书中例题与习题不仅数量众多，而且由浅入深，引导学生举一反三，对巩固知识、培养能力颇有裨益。
　　该书可以作为工业工程专业本科生“生产运作管理”或“生产计划与控制”课程的教材，亦可作为“生产系统”、 “设施规划”、 “项目管理”、 “质量管理”等课程的参考书。

目录

Chapter 1 Strategy and Competition
1．1 Manufacturing Matters
1．2 A framework for Operations Strategy
Strategic Dimensions
1．3 The Classicical View of Operations Strategy
Time Horizon
Focus
evaluation
Consistency
1．4 Competing in the Global Marketplace
Problems for Sections 1-4
Snapshot Application：Read-Rite Wins with International
Strategic Alliance
1．5 Strategic Initiatives：Reengineering the Business Process
1．6 Strategic Initiatives：Just—in—Time
1．7 Strategic Initiatives：Time—based Competition
1．8 Strategic Initiatives：Competing on Quality
Problems for Sections 5-8
1．9 Matching Process and Product Life Cycles
The Product Life Cycle
The Process Life Cycle
The Product—Process Matrix
Problems for Section 9
1．10 Learning and Experience Curves
Learning Curves
Experience Curves
Learning and Experience Curves and Manufacturing
Strategy
Problemsfor Section
1．11 Capacity Growth Planning：A Long—Term Strategic Problem
Economies of Scale and Economies of Scope
Make or Buy：A Prototype Capacity Expansion Problem
Dynamic Capacity Expansion Policy
Issues in Plant Location
Problems for Section 11
1．12 Summary
Additional Problems for Chapter 1
Appendix 1-A Present Worth Calculations
Bibliography

Chapter 2 Forecasting
2．1 The Time Horizon in Forecasting
2．2 Characteristics of Forecasts
2．3 Subjective Forecasting Methods
2．4 Objective Forecasting Methods
Causal Models
Time Series Methods
SnapshotApplication：Advanced ForecastinR Inc．Serves the Semiconductor Industry
Problems for Sections 14
2．5 Notation Conventions
2．6 evaluating Forecasts
Problems for Section 6
2．7 Methods for Forecasting Stationary Series
Moving Averages
Problems on Moving Averages
Exponential Smoothing
Multiple-Step—Ahead Forecasts
Comparison of Exponential Smoothing and Moving
Averages
Problems for Section
SnapSho|Applicntion：on Obermeyer Slashes Costs With improved Forecasting
2．8 Trend．based Methods
Regression Analysis
Problems forSection 8
Double Exponential Smoothing Using Holt’S
Method
More Problems for Section
2．9 Methods for Seasonal Series
Seasonal Factors for Stationary Series
Seasonal Decomposition Using Moving Averages
Problems for Section 9
Winters’S Method for Seasonal Problems
More Problems for Section
2．10 Practical Considerations
Model Identification and Monitoring
Simple versus Complex Time Series Methods
2．11 Overview of Advanced Topics in Forecasting
Box—Jenkins Methods
Simulation as a Forecasting Tool
Forecasting Demand in the Presence of Lost Sales
2．12 linking Forecasting and Inventory Management
2．13 Historical Notes and Additional Topics
……
Chapter 3 Aggregate Plan