Supply Chain Industrial Engineering - Online Book

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Supply Chain Industrial Engineering - Explanation

Industrial Engineering (IE) is redesign (engineering) of Products, Facilities and Processes for Productivity increase. 3% productivity increase every year will make production double in 24 years from the same resources. Industrial Engineering increases prosperity of the society.

Supply chain deliver products (goods and services) to customers. Products are produced in facilities (factories, warehouses, offices) using facilities (production equipment, transport equipment - vehicles) and use processes. There is supply chain engineering, supply chain industrial engineering and supply chain management.

Supply chain industrial engineering is the study of resource use in various supply chain activities with a view to increasing the efficiency or eliminating the waste wherever possible. While the supply chain is designed to serve the needs of the targeted customers, the resource use in the supply chain  is carefully investigated by the industrial engineering to identify and remove waste. Industrial engineering is mainly applied during operations that is in systems that are running as per the standard processes designed to produce goods and services. This industrial engineering activity is continuous improvement activity in the engineering area and related areas that are part of engineering processes.  But industrial engineer's knowledge and productivity improvement experience is utilized in system design  phase also. There are instances where industrial engineers succeeded in reducing the cost of processes designed in the first iteration by the managers and engineers up to 50% and hence it is a very important activity in systems design or systems engineering also.

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Supply Chain - Industrial Engineering Tools and Techniques

7 Apr 2013

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Supply Chain Industrial Engineering

8 Apr 2013


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Famous example of industrial engineering, is Henry Ford's production system redesign, that reduced the price of the automobile by half.

Narayana Rao advocated that all systems, especially all engineering systems can be industrial engineered. That is, they can be redesigned by industrial engineers to improve efficiency or productivity and thus reduce the unit cost of outputs. Hence, supply chain systems can also be redesigned by industrial engineers for productivity improvement. The three important steps in industrial engineering of any system or technology are: productivity science, productivity engineering and productivity management. 

System Industrial Engineering - System Human Effort Engineering - System Efficiency Engineering

Supply Chain Industrial Engineering - Description by Boeing

- Plan, prepare, train, apply and support improvement projects to achieve goals at key supplier sites; in partnership  with cross-functional Boeing departments and supplier teams.

- Apply Lean Six Sigma, Theory of Constrains, Operational Excellence, and System Engineering principles to identify waste and improve efficiency in various manufacturing environments in the supply chain.

- Identify production constraints and inefficiencies to mitigate capital investment, drive improvement plans to reduce flow days, reduce unit production hours, and improve quality.

- Utilize knowledge of advanced manufacturing systems to guide implementation and replication of at supplier sites.

- Communicate with internal and external stakeholders, including Boeing and supplier leadership, to ensure tactical approach and progress meets improvement plan requirements.

- Effectively influence audience through data-driven approach and demonstrated capability to achieve project commitment and customer buy-in.

- Demonstrate leadership initiative, excellent communication skills, a strong technical foundation and sound project management skills.

- Applies Industrial Engineering concepts, techniques, analysis and decision tools under general supervision to promote and assist in implementing changes in manufacturing, engineering and service operations of the supply chain.

- Assists in developing models, data bases and spreadsheets to analyze data (e.g., statistics, operations research, engineering economics), and provides summary analysis and metrics for consultation to customers (e.g., management, departments, suppliers).

- Applies general industrial engineering techniques and concepts to product and process design teams throughout all phases of product lifecycle, resulting in a robust product design and work statement that meets program requirements.

- Assist in research, design, development, improvement and implementation of processes to enhance schedule performance, lower cost, and improve quality, through the application of Lean and other Industrial Engineering concepts for large scale systems integration and asset utilization.

- Under general supervision, manages, defines, negotiates, and controls the scope, cost, and timing of projects, and performs risk analysis using project management tools (e.g., work break-down structure, precedence network, resource allocation).

- Provides support to improvement project completion.

- Utilizes engineering methods (e.g., mathematical models, simulation, statistics) to support the development of optimal process designs and efficient utilization of resources (e.g., facilities, personnel, materials, equipment) in the creation and validation of products.

- Under general direction, analyzes and designs value stream, including capability, capacity (e.g., make/buy, supplier selection, risk analysis, supplier performance), throughput, work flow and logistics (e.g., critical path, lead-time, transportation, factory layout).

Performance measures for the supply chain entity

Defee and Stank stated that goals established in supply chain strategy formulation are eventually translated into performance measures that are evaluated periodically, and ultimately drive adjustments to goals and strategies. Performance  is the measurable outcome of strategy execution through the supply chain network structure developed by various structural modification made to align the structure with the strategy. implementation. Therefore, the shared goals identified in supply chain strategy formulation are to be used to derive performance measures for the supply chain entity. Failure to identify the expected performance from a strategy and control  performance to achieve the planned strategy performance may lead to the inability of the supply chain to achieve goals and meet customer expectations. Lack of clear articulation of performance of a strategy  will not provide the vision necessary to influence individual goal‐directed behaviors (Atkinson et al., 1997; Brewer and Speh, 2000; Kaplan and Norton, 1992).

Mentzer and Konrad (1991) break performance down into measures of efficiency and effectiveness, and state that both elements are necessary to accurately measure performance. Efficient performance measures how well the resources expended were utilized while effectiveness assesses the degree to which goals are accomplished. Traditionally,  measures have been used to try to capture both the efficiency and effectiveness of various components of supply chains.  Unfortunately, assessment of overall supply chain performance has been still limited and needs exploration and research (Lambert and Pohlen, 2001).

The existing supply chain management literature clearly indicates the need for industrial engineering discipline to study the supply chains of engineering products to start with to improve efficiency and productivity of supply chains.

A thesis on measurement of efficiency of a supply chain.

C. Clifford Defee, Theodore P. Stank, (2005) "Applying the strategy‐structure‐performance paradigm to the supply chain environment", The International Journal of Logistics Management, Vol. 16 Issue: 1, pp.28-50, https://doi.org/10.1108/09574090510617349

Mentzer, J.T. and Konrad, B.P. (1991), “An efficiency/effectiveness approach to logistics performance analysis”, Journal of Business Logistics, Vol. 12 No. 1, pp. 33‐61.

Supply Chain Industrial Engineer Job - An Illustration

The Boeing Company Industrial Engineer-Supply Chain Productivity

Date posted 09/14/2018

Responsibilities
Industrial Engineer-Supply Chain Productivity - Company The Boeing Company Job ID 1800074577
Date posted 09/14/2018
Location: Everett, Washington,  United States

Job Description

Boeing's Supply Chain Productivity Services has openings for operations-minded, experienced Industrial Engineers to support and lead cost reduction and process improvement projects at supplier sites through application of sound industrial engineering principles. Each team member works in close collaboration with Boeing stakeholders, supplier leadership, and cost reduction change agents to plan and implement improvement projects as well as train suppliers on a rapid process improvement framework. These positions will be located in Everett, WA.

Position Responsibilities:
- Plan, prepare, train, apply and support improvement projects to achieve goals at key supplier sites; partner with cross-functional Boeing and supplier teams.
- Apply Lean Six Sigma, Theory of Constrains, Operational Excellence, and System Engineering principles to identify waste and improve efficiency in various manufacturing environments.
- Identify production constraints and inefficiencies to mitigate capital investment, drive improvement plans to reduce flow days, reduce unit production hours, and improve quality.
- Utilize knowledge of advanced manufacturing systems to guide implementation and replication of at supplier sites.
- Communicate with internal and external stakeholders, including Boeing and supplier leadership, to ensure tactical approach and progress meets plan requirements.
- Effectively influence audience through data-driven approach and demonstrated capability to achieve project commitment and customer buy-in.
- Demonstrate leadership initiative, excellent communication skills, a strong technical foundation and sound project management skills.
- Applies Industrial Engineering concepts, techniques, analysis and decision tools under general supervision to promote and assist in implementing changes in manufacturing, engineering and service operations.
- Assists in developing models, data bases and spreadsheets to analyze data (e.g., statistics, operations research, engineering economics), and provides summary analysis and metrics for consultation to customers (e.g., management, departments, suppliers).
- Applies general industrial engineering techniques and concepts to product and process design teams throughout all phases of product lifecycle, resulting in a robust product design and work statement that meets program requirements.
- Assist in research, design, development, improvement and implementation of processes to enhance schedule performance, lower cost, and improve quality, through the application of Lean and other Industrial Engineering concepts for large scale systems integration and asset utilization.
- Under general supervision, manages, defines, negotiates, and controls the scope, cost, and timing of projects, and performs risk analysis using project management tools (e.g., work break-down structure, precedence network, resource allocation).
- Provides support to project completion.
- Utilizes engineering methods (e.g., mathematical models, simulation, statistics) to support the development of optimal process designs and efficient utilization of resources (e.g., facilities, personnel, materials, equipment) in the creation and validation of products.
- Under general direction, analyzes and designs value stream, including capability, capacity (e.g., make/buy, supplier selection, risk analysis, supplier performance), throughput, work flow and logistics (e.g., critical path, lead-time, transportation, factory layout).

Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us and you can build something better for yourself, for our customers and for the world.

Division Supply Mgt & Proc

Basic Qualifications (Required Skills & Experience):
- Minimum of a Bachelors Degree - Minimum of 2 years of experience with Bachelors Degree or Master's Degree with experience
- Proficiency in MS Office Products - Experience managing projects Preferred Qualifications

(Desired Skills/Experience):
- Preferred candidate will have experience in 3 or more of the following: Process Modeling, Manufacturing Operations Support, Project Management, Lean Manufacturing, Statistical/Trend Analysis, Six Sigma, Capacity Planning, Production/Mfg System Design, Work Methods Analysis/Time Standards, Planning/Constraint Based Scheduling, Ergonomics & Human Factors, Facilities
- ABET is the preferred, although not required, accreditation standard.
Typical Education/Experience:
- Bachelor's and 2 or more years' experience or a Master's degree with experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry.
Experience Level Individual Contributor Job Type Standard
Job Code DFKEP2
https://www.wayup.com/i-Manufacturing-j-The-Boeing-Company-816023560878359/

Related Artciles

Supply Chain Cost Reduction - Industrial Engineering of Supply Chains

Zero-Based Productivity Management of Supply Chain - McKinsey Way Supply Chain Industrial Engineering

Optimization Opportunities to Improve Supply Chain Efficiency: A Practitioner's Experiences (Presentation)
Saxena, Rajiv. IIE Annual Conference. Proceedings (2010): 1-22.

Supply Chain Engineering

We define "Supply Chain Engineering" as the application of scientific principles to optimize the design and integration of supply chain processes, infrastructure, technology and strategy.(Supply Chain and Logistics Institute at Georgia Tech.)
http://www.scl.gatech.edu/about.php


IE 497 –Supply Chain Engineering
Fall Semester 2012
Course at Penn State University


Course Objective
This course is designed to provide students with a quantitative background for designing, analyzing,
managing, and improving supply chains.

The Chopra & Meindl textbook (prescribed text for the course) is targeted to business students and so it will be supplemented with appropriate quantitative models.
http://www2.ie.psu.edu/griffin/sc_syllabus.pdf



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Supply Chain Industrial Engineers

Scott J. Edwards, Intel Corporation

Scott is an Industrial Engineer in the Supply Chain Industrial Engineering and Statistics department at Intel Corporation. His professional experience includes process improvement, capacity planning and modeling, and network design in logistics/supply chain areas. Scott has a Bachelor of Science degree in Industrial and Management Systems Engineering from Arizona State University and a Masters degree in Business Administration from the University of Phoenix. He is also a certified Six Sigma Black Belt through Arizona State University’s Ira A. Fulton School of Engineering and received his “Jonah” recognition from Washington State University / TOCICO.

http://www.cpi-symposiums.com/speakers.html
Interesting Presentation by Scott Edwards
http://www.pinnacle-strategies.com/articles/CPI%20Intel%20TOC%20Lean%20Six%20Sigma%20May%202008.pdf


Patrick O'Gorman
Senior Supply Chain Industrial Engineer
Siltronic AG
Public Company; 5001-10,000 employees; Semiconductors industry
March 2009 – September 2012 (3 years 7 months)

Deputy for Supply Chain Management role.
Global capacity / load / utilization analysis and modeling.
Design, implement and improve on manufacturing support systems.
Global inventory reporting.
Revenue forecasting.
Lead and work on cross-functional project teams.
Global Lean Supply Chain initiatives.
SAP/R3 Master Data maintenance and analysis.
Product / Unit / Lot genealogy migration.
Analyze and recommend efficiency and productivity improvements.
Design, implement, and optimize material flow control systems.
Overall Equipment Effectiveness (OEE) - Program development.
Advanced material mix balancing, optimization and maintenance within gemba.
Overall Operator Effectiveness (OOE) - Program development.
Global process and procedure development.
Provide technical expertise to define line equipment layouts and equipment interfaces for material handling/control and overall equipment utilization.
Prepare capital proposals.
Lead and facilitate cross-functional training.
Maintain appropriate documentation for material flow and control systems.
Determine impact on material flow and line balance of process changes, material flow changes, yield enhancements and equipment efficiencies.
KPI & Business Intelligence design.
Global Supply Chain Industrial Engineering team member.
Design planning and scheduling systems to optimize manufacturing systems.

Supply Chain Industrial Engineer

Siltronic AG
Public Company; 5001-10,000 employees; Semiconductors industry
March 2007 – March 2009 (2 years 1 month)

Deputy for Operations Management role.
Estimate and update equipment capacities and process standards.
Provide material flow system training to operations.
Design workstations and material fixtures to improve productivity and safety.
Global facility benchmarking.
Analyze manufacturing systems and equipment for performance; inventory level, cycle times, scheduling, utilization and capacity.
Work across functional lines with operations, equipment engineering, and process technology.
Analyze and recommend proposals for changing manufacturing systems.
Data mining.
Support operations, logistics and engineering in daily decision making process regarding flow system problem solving.
Analyze equipment needs and material flow control systems to recommend purchase and layout requirements to enhance systems that improve cycle time, inventory and efficiency.

http://www.linkedin.com/in/globalcitizenpatrickogorman

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Supply Chain Productivity

McKinsey Article

Zero-based productivity: Going granular and end-to-end across the supply chain
March 2019

https://www.mckinsey.com/business-functions/operations/our-insights/zero-based-productivity-going-granular-and-end-to-end-across-the-supply-chain

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Human Effort Engineering - Techniques

1. Principles of Motion Economy
2. Motion Study
3. Workstation Design
4. Application of Ergonomics and Biomechanics
5. Fatigue Studies
6. Productivity/Safety/Comfort Device Design
7. Standardization of  Methods
8. Operator training
9. Incentive Systems
10. Job Evaluation
11. Learning effect capture
12. Work Measurement


EFFICIENCY IMPROVEMENT TECHNIQUES OF INDUSTRIAL ENGINEERING


1. Process Analysis
2. Operation Analysis
3. Layout Efficiency Analysis
4. Value engineering
5. Statistical quality control
6. Statistical inventory control and ABC Classification Based Inventory Sytems
7. Six sigma
8. Operations research
9. Variety reduction
10. Standardization
11. Incentive schemes
12. Waste reduction or elimination
13. Activity based management
14. Business process improvement
15. Fatigue analysis and reduction
16. Engineering economy analysis
17. Learning effect capture and continuous improvement (Kaizen, Quality circles and suggestion schemes)
18. Standard costing


Functional Solutions

1.Warehouse efficiency improvement
2. Warehouse 5S
3. Warehouse human effort engineering
4. Inventory control

Supply Chain Human Effort Engineering - Techniques

1. Principles of Motion Economy

2. Motion Study
    Wearable computers empower workers to achieve new levels of efficiency in package handling and warehouse applications.
     http://www.mmh.com/article/wearable_computers_optimize_workflows
     MMH - Modern Material Handling Magazine website

3. Workstation Design

4. Application of Ergonomics and Biomechanics
    Warehouse workers - Take the hurt out of material handling
     http://www.cdph.ca.gov/programs/hesis/Documents/warehous.pdf

5. Fatigue Studies

6. Productivity/Safety/Comfort Device Design

7. Standardization of  Methods

8. Operator training

9. Incentive Systems

10. Job Evaluation

11. Learning effect capture

12. Work Measurement

SUPPLY CHAIN SYSTEM EFFICIENCY IMPROVEMENT

1. Process Analysis
    A Better, Easier Way to Improve Warehouse Operations
    12 Leading case studies
     Steve Anderson, Acorn Systems Inc., 2004
     Request white paper from Acorn Systems

2. Operation Analysis

3. Layout Efficiency Analysis

4. Value engineering

5. Application of Statistics in Supply Chain Planning, Control and Operations


    Forecasting

    Forecasting supply chain components with time series analysis
    Electronic Components and Technology Conference, 2003. Proceedings.
    Date of Conference: May 27-30, 2003
    Author(s): Martin, L.J. and Frei, J. ,  Page(s): 269 278

    Statistical quality control

    Statistical inventory control and ABC Classification Based Inventory Systems

    Supply Chain Risk Management
    ftp://ftp.software.ibm.com/common/ssi/sa/wh/n/gbw03015usen/GBW03015USEN.PDF
    Six sigma

    54 statistics on hospital supply chain (efficiency)
    http://www.beckershospitalreview.com/racs-/-icd-9-/-icd-10/54-statistics-on-hospital-supply-chain-efficiency.html

    Supply Chain Monitoring: A Statistics Approach
    Fernando D. Mele, Estanislao Musulin and Luis Puigjaner*
    European Symposium on Computer Aided Process Engineering – 15
    L. Puigjaner and A. Espuña (Editors)
    2005 Elsevier Science B.V.

    Forecasting in Supply Chain
    http://logistics.about.com/od/strategicsupplychain/a/Forecasting.htm



6. Optimization and Operations research

     IBN ILOG
     http://www-01.ibm.com/software/websphere/products/sca/

      http://www.ups.com/content/us/en/bussol/browse/supply-chain-optimization.html

     http://www.scl.gatech.edu/research/supply-chain/10rules.pdf


Companies that take a more strategic approach improve plant output by up to 25% and inventory turns by up to 40% while reducing capital expenditure and increasing the agility, flexibility and speed of the supply chain, according to Bain research. Overall, creating an optimal manufacturing and distribution network increases gross margins by 6 to 10 percentage points.

Turn Your Supply Chain into a Competitive Weapon
December 12, 2017 Bain Brief By Keith Donnelly, Meghan Shehorn and Debjit Banerjee
http://www.bain.com/publications/articles/turn-your-supply-chain-into-a-competitive-weapon.aspx

7. Variety reduction

     Measuring variety reduction along the supply chain: The Variety Gap Model
     by: Alessandro Brun, Margherita Pero, International Journal of Production Economics (May 2012)

     Variety Management in assemble-to-order supply chains
     http://mpra.ub.uni-muenchen.de/5250/1/MPRA_paper_5250.pdf

8. Standardization

9. Waste reduction or elimination

     7 Wastes Supply Chain
     http://supplychain-mechanic.com/?p=75

     Lean Supply Chain Practices in Malaysia
     http://cdn.intechopen.com/pdfs/17141/InTech-Lean_supply_chain_practices_and_performance_in_the_context_of_malaysia.pdf

10. Activity based management - Supply Chain Cost Management using Activity Based Cost Measurement and Management

11. Business process improvement

12. Engineering economy analysis

13. Learning effect capture and continuous improvement (Kaizen, Quality circles and suggestion schemes)

14. Standard costing and Kaizen costing

15. Lean Warehousing


Importance of Effectiveness - Only Effective Supply Chains are to be made efficient

The Triple A Supply Chain - Agile, Adaptive and Aligned
http://hbr.org/2004/10/the-triple-a-supply-chain/ar/1

Supply Chain Efficiency - Supply Chain Waste Elimination - Lean Supply Chain
Supply Chain Industrial Engineering - Bibliography




A Computational Model for Warehouse Analysis and Design
Karathur, Karthik N; Govindaraj, T; Bodner, Douglas A; McGinnis, Leon F. IIE Annual Conference. Proceedings (2002): 1-6.

Supply Chain Engineering Books

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Supply Chain Network Design: Applying Optimization and Analytics to the Global Supply Chain

Michael Watson, Sara Lewis, Peter Cacioppi, Jay Jayaraman
Publisher:  FT Press, Copyright:  2013
Format:  Cloth; 432 pp, Published:  08/22/2012


Table of Contents


Preface     xvi
Part I: Introduction and Basic Building Blocks
Chapter 1: THE VALUE OF SUPPLY CHAIN NETWORK DESIGN     1
Chapter 2: INTUITION BUILDING WITH CENTER OF GRAVITY MODELS     23
Chapter 3: LOCATING FACILITIES USING A DISTANCE-BASED APPROACH     37
Chapter 4: ALTERNATIVE SERVICE LEVELS AND SENSITIVITY ANALYSIS     63
Chapter 5: ADDING CAPACITY TO THE MODEL     83
Part II: Adding Costs to Two-Echelon Supply Chains
Chapter 6: ADDING OUTBOUND TRANSPORTATION TO THE MODEL     99
Chapter 7: INTRODUCING FACILITY FIXED AND VARIABLE COSTS     127
Chapter 8: BASELINES AND OPTIMAL BASELINES     139
Part III: Advanced Modeling and Expanding to Multiple Echelons
Chapter 9: THREE-ECHELON SUPPLY CHAIN MODELING     157
Chapter 10: ADDING MULTIPLE PRODUCTS AND MULTISITE PRODUCTION SOURCING     177
Chapter 11: MULTI-OBJECTIVE OPTIMIZATION     207
Part IV: How to Get Industrial-Strength Results
Chapter 12: THE ART OF MODELING     217
Chapter 13: DATA AGGREGATION IN NETWORK DESIGN     237
Chapter 14: CREATING A GROUP AND RUNNING A PROJECT     261
Part V: Case Study Wrap Up
Chapter 15: CASE STUDY: JPMS CHEMICALS CASE STUDY     277
Index     295

http://www.pearsonhighered.com/educator/product/Supply-Chain-Network-Design-Applying-Optimization-and-Analytics-to-the-Global-Supply-Chain/9780133017373.page

Supply Chain Engineering: Models and Applications

By A. Ravi Ravindran, Donald Warsing, Jr.

Published September 27th 2012 by CRC Press – 548 pages


Table of Contents

Introduction to Supply Chain Engineering

Understanding Supply Chains

Flows in Supply Chains

Meaning of Supply Chain Engineering

Supply Chain Decisions

Enablers and Drivers of Supply Chain Performance

Assessing and Managing Supply Chain Performance

Relationship between Supply Chain and Financial Metrics

Importance of Supply Chain Management

Organization of the Textbook

Summary and Further Readings

Exercises

References


Planning Production in Supply Chains

Role of Demand Forecasting in Supply Chain Management

Forecasting Process

Qualitative Forecasting Methods

Quantitative Forecasting Methods

Incorporating Seasonality in Forecasting

Incorporating Trend in Forecasting

Incorporating Seasonality and Trend in Forecasting

Forecasting for Multiple Periods

Forecasting Errors

Monitoring Forecast Accuracy

Forecasting Software

Forecasting in Practice

Production Planning Process

Aggregate Planning Problem

Linear Programming Model for Aggregate Planning

Nonlinear Programming Model for Aggregate Planning

Aggregate Planning as a Transportation Problem

Aggregate Planning Strategies: A Comparison

Summary and Further Readings

Replenishment (CPFR)

Exercises

References


Inventory Management Methods and Models

Decision Framework for Inventory Management

Some Preliminary Modeling Issues

Single-Item, Single-Period Problem: The Newsvendor

Single-Item, Multi-Period Problems

Multi-Item Inventory Models

Multi-Echelon Inventory Systems

Conclusions

Further Readings

A Appendix: The Bullwhip Effect

References

Exercises

References


Transportation Decisions in Supply Chain Management

Introduction

Motor Carrier Freight: Truckload Mode

Accounting for Goods in transit

Stepping Back: Freight Transportation Overview

More General Models of Freight Rates

Building A Rate Model: LTL Service

A More General Rate Model for LTL Service

Beyond Truck Transport: Rail and Air Cargo

Conclusion

Further Readings

Exercises

References


Location and Distribution Decisions in Supply Chains

Modeling with Binary Variables

Supply Chain Network Optimization

Risk Pooling or Inventory Consolidation

Continuous Location Models

Real-World Applications

Summary and Further Readings

Exercises

References


Supplier Selection Models and Methods

Supplier Selection Problem

Supplier Selection Methods

Multi-Criteria Ranking Methods for Supplier Selection

Multi-Objective Supplier Allocation Model

Summary and Further Readings

Exercises

References


Managing Risks in Supply Chain

Supply Chain Risk

Real World Risk Events and Their Impacts

Sources of Supply Chain Risks

Risk Identification

Risk Assessment

Risk Management

Best Industry Practices in Risk Management

Risk Quantification Models

Value-at-Risk (VaR) Models

Miss-the-Target (MtT) Risk Models

Risk Measures

Combining VaR and MtT Type Risks

Risk Detectability and Risk Recovery

Multiple Criteria Optimization Models for Supplier Selection Incorporating Risk

Summary and Further Readings

Exercises

Acknowledgments

References


Global Supply Chain Management

History of Globalization

Impacts of Globalization

Global Sourcing

International Logistics

Designing a Resilient Global Supply Chain: A Case Study

Summary and Further Readings

Exercises

Questions

References

Appendix A: Multiple Criteria Decision Making: An Overview

Index


http://www.routledge.com/books/details/9781439811986/

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Supply Chain Industrial Engineering - IIE Conference Papers

2
SUPPLY CHAIN MANAGEMENT PURCHASING/INVENTORY/MATERIALS (Presentation Supporting Paper)
Hamlin, Jerry; Migliore, R Henry, PhD; Paris, David; Metz, Rick D; Watt, David B. IIE Annual Conference. Proceedings (2002): 1-10.


5
Integration of Product Structure and Supply Chain Decisions at the Conceptual Design Stage: A Repository Enabled Decision Tool
Chiu, Ming-Chuan; Gupta, Saraj; Okudan, Gül E. IIE Annual Conference. Proceedings (2009): 1512-1517.

6
Object-oriented modeling of supply chain configuration problem
Chandra, Charu; Grabis, Janis. IIE Annual Conference. Proceedings (2006): 1-6.

7
 QUEUEING MODELS FOR ANALYZING SUPPLY CHAIN NETWORKS
Srivathsan, Sandeep; Krishnamoorthy, Ananth; Kamath, Manjunath; Ayodhiramanujan, Karthik. IIE Annual Conference. Proceedings (2004): 1-6.

8
 An Integrative Methodology for Product and Supply Chain Design Decisions at the Product Design Stage
Chiu, Ming-Chuan; Okudan, Gül. IIE Annual Conference. Proceedings (2010): 1-6.

9
 Supervisory Control of a Synchronized Supply Chain Using Petri Nets
Drzymalski, Julie; Odrey, Nicholas G. IIE Annual Conference. Proceedings (2010): 1-6.

10
 Supply Chain Risk Management
Hadavale, Rajesh S; Alexander, Suraj M. IIE Annual Conference. Proceedings (2009): 1363-1368.



12
 Modeling a Flexible Supply Chain and Logistics System Through Object-Oriented Approach
Kim, Jinho; Rogers, K J, PhD, PE. IIE Annual Conference. Proceedings (2003): 1-6.

13
 A Real-time Simulation-Based Control Architecture for Supply Chain Interactions
Ramakrishnan, Sreeram; Wysk, Richard A. IIE Annual Conference. Proceedings (2002): 1-6.

14
 A Rule Based Supply-Chain Business Model Under Object-Oriented Paradigm
Kim, Jinho; Rogers, K J, PhD, PE. IIE Annual Conference. Proceedings (2004): 1-6.

15
 Conflict and Cooperation of Scheduling in a Two-echelon Supply Chain
Chen, Yuerong; Li, Xueping. IIE Annual Conference. Proceedings (2009): 1357-1362.

16
 A Comparison of Coordinated Ordering Policies in a Three-Echelon Supply Chain Network
Abdelmaguid, Tamer F; Marzouk, Mohamed M. IIE Annual Conference. Proceedings (2009): 1239-1244.


17
 Inventory Accuracy Improvement via Cycle Counting in a Two-Echelon Supply Chain
Rossetti, Manuel D, PhD, PE; Gumrukcu, Seda; Buyurgan, Nebil; English, John. IIE Annual Conference. Proceedings (2007): 913-918.

18
 A MANUFACTURING STRATEGY FOR PRODUCT ASSEMBLY IN A SUPPLY CHAIN ENVIRONMENT
Sundaram, R Meenakshi; Patel, Rakesh B. IIE Annual Conference. Proceedings (2002): 1-8.

19
 Reducing Supply Chain Data Degradation in Emerging Networks
Ajoku, Pamela. IIE Annual Conference. Proceedings (2007): 180-185.

20
 The manager's guide to supply chain and logistics problem-solving tools and techniques: Part III: End user experiences
Hicks, Donald A. IIE Solutions29. 11 (Nov 1997): 34-38.


23
 The Effect of Information Update on Optimizing the Supply Chain Single Node Inventory Systems
Haji, Maryam; Darabi, Houshang. IIE Annual Conference. Proceedings (2006): 1-6.


26
 Emerging Supply Chain Drivers (Presentation)
Musselman, Ken. IIE Annual Conference. Proceedings (2002): 1-55.

27
 The Secrets of Supply Chain Success: A Retail Case Study (Presentation)
Anonymous. IIE Annual Conference. Proceedings (2004): 1-33.

28
 Reverse Logistics: Designing Your Supply Chain for Product Recovery (Presentation)
Barker, Theresa J; Zabinsky, Zelda B. IIE Annual Conference. Proceedings (2010): 1-18.

29
 Supply Chain Breakthrough Strategy: On-site MRO Partner-Managed Storeroom (Presentation)
Stein, Martin; Krauter, George. IIE Annual Conference. Proceedings (2009): 1-32.

30
 Driving Benefits from the Supply Chain: A Case Study (Presentation)
Miksis, Michael. IIE Annual Conference. Proceedings (2003): 1-18.

31
 Integrating Supply Chain Management and Maintenance Philosophies (Presentation)
Siriram, R; Cobb, P. IIE Annual Conference. Proceedings (2005): 1-43.

32
 Optimization Opportunities to Improve Supply Chain Efficiency: A Practitioner's Experiences (Presentation)
Saxena, Rajiv. IIE Annual Conference. Proceedings (2010): 1-22.


35
 It's all in the delivery
Anonymous. Industrial Engineer37. 1 (Jan 2005): 52.


36
 Managing Oil and Gas Supply Chain - Numerous Challenges, One Solution (Presentation)
Mehta, Arvind. IIE Annual Conference. Proceedings (2004): 1-14.

37
 Supply Chain Risk Management (Presentation)
Anonymous. IIE Annual Conference. Proceedings (2005): 1-21.

38
 Supply Chain Solution Using Six Sigma: A Case Study Based on a Project for Square D Company (Presentation)
Anonymous. IIE Annual Conference. Proceedings (2007): 1-19.

39
 Integrating Engineering for Supply Chain Effectiveness (Presentation)
Dickerson, James. IIE Annual Conference. Proceedings (2007): 1-24.

40
 Simulation of Supply Chain System Costs for Industrial Audiences (Presentation)
Ray, Charles D, Ph D. IIE Annual Conference. Proceedings (2005): 1-46.

43
 Designing principles to create resilient Supply Chains
Carvalho, Helena; Machado, V Cruz. IIE Annual Conference. Proceedings (2007): 186-191.

50
 Use of OR to Design Your Reverse Logistics Supply Chain (Presentation)
Barker, Theresa J; Zabinsky, Zelda B. IIE Annual Conference. Proceedings (2009): 1-25.
..."Use of OR to Design Your Reverse Logistics hitSupply Chain" during the Jun 01,
Citation/AbstractFull text - PDF (1 MB)‎

51
 General Purpose Ontologies for Supply Chain Management
Ahmad, Ali; Mollaghasemi, Mansooreh; Rabelo, Luis. IIE Annual Conference. Proceedings (2004): 1-7.

 A methodology for the strategic design of robust global supply chains
Goetschalckx, Marc; Cordova, Gonzalo. IIE Annual Conference. Proceedings (2004): 1-6.

53
 Modeling and Mitigating Global Supply Chain Risk Management
Yang, Dengfeng; Wang, Jiao; Li, Xueping; Sawhney, Rapinder. IIE Annual Conference. Proceedings (2009): 1339-1344.

54
 AN INTERNET ENABLED SUPPLY CHAIN MANAGEMENT MODEL FOR SMALL AND MEDIUM SIZE ENTERPRISES
Magableh, Ghazi M; Abu-Ali, Mahmoud. IIE Annual Conference. Proceedings (2004): 1-6.

55
 Benefits of Incorporating Supply Chain Decisions into the Product Design via Design for Supply Chain
Gokhan, N Mehmet; Needy, Kim LaScola; Norman, Bryan A; Hunsaker, Brady. IIE Annual Conference. Proceedings (2008): 390-395.

56
 Supply Chain Reconfiguration: Designing Information Support With System Taxonomy Principles
Chandra, Charu; Tumanyan, Armen. IIE Annual Conference. Proceedings (2002): 1-6.


58
 An Improved Supplier Selection Method Integrated to the Conceptual Design Phase
Chiu, Ming-Chuan; Okudan, Gül. IIE Annual Conference. Proceedings (2009): 1518-1523.

59
 Supply chain system taxonomy: development and application
Chandra, Charu; Tumanyan, Armen. IIE Annual Conference. Proceedings (2003): 1-6.

60
 Taxonomy of Research Directions for Sustainable Supply Chain Management
Badurdeen, Fazleena; Metta, Haritha; Gupta, Sonal. IIE Annual Conference. Proceedings (2009): 1256-1261.

61
 Use of Shared Information in a Vendor-Managed Inventory (VMI) Supply Chain
Angulo, Andres; Nachtmann, Heather; Waller, Matthew. IIE Annual Conference. Proceedings (2002): 1-6.

62
 Combining Strategic and Tactical Decisions in an Integrated Supply Chain
Sajjadi, S Reza; Cheraghi, S Hossein. IIE Annual Conference. Proceedings (2009): 1149-1154.

63
 A Hybrid Solution Procedure for Design for Supply Chain Problems
Gokhan, N Mehmet; Needy, Kim LaScola; Norman, Bryan A; Hunsaker, Brady. IIE Annual Conference. Proceedings (2007): 1678-1683.

64
 Quantifying the Bullwhip Effect in the Supply Chain of Small-Sized Companies
Centeno, Martha A; Pérez, Jaime E. IIE Annual Conference. Proceedings (2009): 486-491.

65
 Supply Chain Models for Small Agricultural Enterprises
Jang, W; Klein, C M. IIE Annual Conference. Proceedings (2002): 1-6.


67
 Design for Supply Chain - A Collaborative Research Project Between Institutions and Between Centers
Needy, Kim L; Norman, Bryan A; Hunsaker, Brady; Gokhan, N Mehmet; Claypool, Erin; et al. IIE Annual Conference. Proceedings (2008): 396-401.


69
 Reverse Logistics Optimization with Data Envelopment Analysis
Tonanont, Ake; Yimsiri, Sanya; Rogers, K J. IIE Annual Conference. Proceedings (2009): 1268-1273.


71
 The Impact of the Internet Economy on Logistics
Sehwail, Loay; Ingalls, Ricki G. IIE Annual Conference. Proceedings (2005): 1-6.

 Applying Radio Frequency Identification for Cutting Tool Supply Chain Management
Cheng, Chen-Yang; Prabhu, Vittal. IIE Annual Conference. Proceedings (2007): 637-642.







78
 A Framework for Cost Modeling a Supply Chain
Yousef, Nabeel; Rabelo, Luis; Sepulveda, Jose. IIE Annual Conference. Proceedings (2006): 1-6.

79
 Stakeholder value mapping framework for supply chain improvement when implementing IT solutions
Alvarado, Karla P; Rabelo, Luis; Eaglin, Ronald. IIE Annual Conference. Proceedings (2008): 1320-1325.

80
 Simulation-Optimisation Methods in Supply Chain Applications: A Review
Abo-Hamad, Waleed; Arisha, Amr. Irish Journal of Management30. 2 (2011): 95-124.

81
 Goal-Driven Supply Chain Design
Chandra, Charu; Grabis, Janis. IIE Annual Conference. Proceedings (2008): 241-246.

82
 Elaborating Process Models for Supply Chain Reconfiguration
Chandra, Charu; Marukyan, Ruzanna. IIE Annual Conference. Proceedings (2002): 1-6.

83
 Integrated Supply Chain Management: Discrete Manufacturing (Presentation Supporting Paper)
Kumar, Dinesh. IIE Annual Conference. Proceedings (2002): 1-5.


85
 Information Modeling to Manage Supply Chain: Problems Taxonomy
Chandra, Charu; Tumanyan, Armen. IIE Annual Conference. Proceedings (2004): 1-6.

86
 Achieving Supply Chain Optimization: Guiding Your Organization's Improvement Journey (Presentation Supporting Paper)
Pinnekamp, Dale J, CPIM. IIE Annual Conference. Proceedings (2007): 1-7.

87
 Value Chain Management (VCM) Principles, Framework, and Footprint (Presentation)
Sabri, Ehap; Rehman, Aamer. IIE Annual Conference. Proceedings (2004): 1-22.


89
 Increased Supply Chain Efficiencies through Integration
Magableh, Ghazi M; Mason, Scott J. IIE Annual Conference. Proceedings (2003): 1-6.


91
 Optimization Strategies for Complex Supply Chains (Presentation)
Lathon, Ruby D, PhD. IIE Annual Conference. Proceedings (2006): 1-26.

92
 Applied Operational Research Techniques to Balance Costs & Service in Customers' Supply Chains (Presentation)
Jeray, Jim. IIE Annual Conference. Proceedings (2002): 1-37.

93
 A Maturity Model to Assess and Improve Supply Chain Operations
Giachetti, Ronald E; Garcia-Reyes, Heriberto. IIE Annual Conference. Proceedings (2010): 1-6.

94
 Collaborative implementation of e-business processes within the health-care supply chain: the Monash Pharmacy Project
Bhakoo, Vikram; Chan, Caroline. Supply Chain Management16. 3 (2011): 184-193.

95
 ANALYSIS OF A TRANSPORTATION CONTRACT IN A SUPPLY CHAIN
Sinha, Sudhir K; Rangaraj, N; Hemachandra, N. IIE Annual Conference. Proceedings (2006): 1-6.

96
 Considering Customer Waiting Time in Supply Chain Integration
Masel, Dale T; Pujari, Nikhil A. IIE Annual Conference. Proceedings (2005): 1-6.

97
 REDUCING PRODUCT DEVELOPMENT TIME USING CRITICAL CHAIN PROJECT MANAGEMENT TECHNIQUES (Presentation)
Ross, James. IIE Annual Conference. Proceedings (2003): 1-40.

98
 A Method for Measuring Supply Chain Interoperability
Ford, Thomas C, PhD; Ogden, Jeffrey A, PhD; Johnson, Alan W, PhD. IIE Annual Conference. Proceedings (2010): 1-6.

99
 Development of a Framework for Supply Chain Research in Industrial Engineering
Krishnamoorthy, Ananth; Kamath, Manjunath; Ingalls, Ricki G. IIE Annual Conference. Proceedings (2004): 1.

IE students and faculty can access these papers from Proquest Database


Industrial Engineering Faculty Members with focus on Supply Chain Industrial Engineering

http://comp.uark.edu/~mason/Research.html





Supply Chain Human Effort Engineering - Techniques

1. Principles of Motion Economy
 
2. Motion Study
    Wearable computers empower workers to achieve new levels of efficiency in package handling and warehouse applications.
     http://www.mmh.com/article/wearable_computers_optimize_workflows
     MMH - Modern Material Handling Magazine website

3. Workstation Design

4. Application of Ergonomics and Biomechanics
    Warehouse workers - Take the hurt out of material handling
     http://www.cdph.ca.gov/programs/hesis/Documents/warehous.pdf

5. Fatigue Studies

6. Productivity/Safety/Comfort Device Design

7. Standardization of  Methods

8. Operator training

9. Incentive Systems

10. Job Evaluation

11. Learning effect capture

12. Work Measurement


SUPPLY CHAIN SYSTEM EFFICIENCY IMPROVEMENT


1. Process Analysis
    A Better, Easier Way to Improve Warehouse Operations
    12 Leading case studies
     Steve Anderson, Acorn Systems Inc., 2004
     Request white paper from Acorn Systesm

2. Operation Analysis

3. Layout Efficiency Analysis

4. Value engineering

5. Application of Statistics in Supply Chain Planning, Control and Operations


    Forecasting

    Forecasting supply chain components with time series analysis
    Electronic Components and Technology Conference, 2003. Proceedings.
    Date of Conference: May 27-30, 2003
    Author(s): Martin, L.J. and Frei, J. ,  Page(s): 269 278

    Statistical quality control

    Statistical inventory control and ABC Classification Based Inventory Systems

    Supply Chain Risk Management
    ftp://ftp.software.ibm.com/common/ssi/sa/wh/n/gbw03015usen/GBW03015USEN.PDF
    Six sigma

    54 statistics on hospital supply chain (efficiency)
    http://www.beckershospitalreview.com/racs-/-icd-9-/-icd-10/54-statistics-on-hospital-supply-chain-efficiency.html

    Supply Chain Monitoring: A Statistics Approach
    Fernando D. Mele, Estanislao Musulin and Luis Puigjaner*
    European Symposium on Computer Aided Process Engineering – 15
    L. Puigjaner and A. Espuña (Editors)
    2005 Elsevier Science B.V.

    Forecasting in Supply Chain
    http://logistics.about.com/od/strategicsupplychain/a/Forecasting.htm

 

6. Optimization and Operations research

     IBN ILOG
     http://www-01.ibm.com/software/websphere/products/sca/

      http://www.ups.com/content/us/en/bussol/browse/supply-chain-optimization.html

     http://www.scl.gatech.edu/research/supply-chain/10rules.pdf
   

7. Variety reduction

     Measuring variety reduction along the supply chain: The Variety Gap Model
     by: Alessandro Brun, Margherita Pero, International Journal of Production Economics (May 2012)

     Variety Management in assemble-to-order supply chains
     http://mpra.ub.uni-muenchen.de/5250/1/MPRA_paper_5250.pdf

8. Standardization

9. Waste reduction or elimination

     7 Wastes Supply Chain
     http://supplychain-mechanic.com/?p=75

     Lean Supply Chain Practices in Malaysia
     http://cdn.intechopen.com/pdfs/17141/InTech-Lean_supply_chain_practices_and_performance_in_the_context_of_malaysia.pdf

10. Activity based management

11. Business process improvement

12. Engineering economy analysis

13. Learning effect capture and continuous improvement (Kaizen, Quality circles and suggestion schemes)

14. Standard costing and Kaizen costing


Importance of Effectiveness - Only Effective Supply Chains are to be made efficient

The Triple A Supply Chain - Agile, Adaptive and Aligned
http://hbr.org/2004/10/the-triple-a-supply-chain/ar/1



Books


Excellence in Inventory Management
Author: Stuart Emmett and David Granville
Edition: First
Publisher: Cambridge Academic
Date: 05/01/2007

Additiontal articles on supply chain - 2018 onwards

http://www.scmr.com/article/the_top_25_supply_chains_leadership_in_action

https://www2.deloitte.com/us/en/pages/operations/articles/supply-chain-leadership.html

https://www2.deloitte.com/content/dam/Deloitte/at/Documents/strategy/supplychain-leadership-report.pdf





Updated on 19.10.2023, 22.5.2023,   5 May 2020,  1 May 2019,   13 March 2019,  29 June 2018,   22 December 2017,  12 May 2015
First Published on 2 March 2013