Summary
Logistics for Projects and Pull Production
Plan
Pulling Logistics?
I. General concepts
Four definitions for project management
Definition for production
The four kind of resources
The three kind of stock
Definition for pull production
Four definitions for Logistics
The five kind of flux
Flux logistics chain
II. Definition & Comparison
Two definitions for quality
Plan
PDCA
Goals of logistics
Market constraints
What companies have to do?
Situation
Improve logistics chain performances
How measure logistics performances ?
Indicator categories
How measure global performance ?
How measure global performance ?
Control & reduce delays
Stock optimisation
Stock indicators
Stocks
Traditional production
Push production organization
Pull production organization
Push & Pull production
Concepts used by pull model
Differences Pull/Push models for firms
Differences Pull/Push models for firms
Differences Pull/Push models for firms
Pull vs. Push
Production/Quantity and repetitiveness
Production/Quantity and repetitiveness
Client Relationship
Production by stock
Production by command
Kind of production (1/2)
Kind of production (2/2)
Production/variety & volume
III. Traditional methodologies
Plan
Plan
Logistics
What is operational research?
Steps of a RO project
Introduction to Linear programming
Logistics
Terminology
Canonical form of a linear program
Standard form of a linear program
From canonic form to standard form
Transformation rules (1)
Transformation rules (2)
Example : Resource allocation problems
What has to produce the company in order to maximize its weekly sales turnover?
Resource allocation problem: model
Geometric interpretation
Basic solutions
Example
LP basic solution
Decision Variables
Decision Process
Solution Acceptance
Logistics
Logistics
Swivelling matrices
Tables
Table Use 1/2
Table Use 2/2
Example
Basic solution
Basic Solution Values
Swivellings in a table
Geometric interpretation swivelling
Logistics
How to maximise Z thanks to swivelling
Tables
Hypotheses
Simplex primal algorithm
Simplex primal algorithm
Problem of the shortest way
Modeling
Modeling (2)
Example
Critical path algorithm
Algorithm of the critical path
Example
Terminology
Example Critical Works
Logistics
Planning of production
Planning of production
Objective of planning
Information types
Information (1)
Information (2)
Planning tools
Estimated planning
Temporality of the decisions
Temporality of the decisions
Planning tools
Scheduling
Scheduling
PERT : Example
PERT : Example (2)
PERT : Example (3)
PERT : Example (4)
PERT : Example (5)
Scheduling
Stock management
Stock evolution in time
Annual level of restocking is :
Variation of the storage cost according to Q
Variation of the storage cost according to Q (2)
Variation of the storage cost according to Q (3)
Calculation of a safety stock
Logistics
Stakes of quality management
Quality management
Quality management
Various methods to improve quality
Quality Steps
Approach continuous improvement (1)
Approach continuous improvement (2)
The total management of quality
IV. Evolution & Innovation
Plan
Logistics
History
History
History
History
Introduction
Introduction
Stakes of SCM
Production in SCM
Production in SCM
Production on demand
Production on demand
Logistics
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Logistics
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
SCEM
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
Enabling technologies
V. Innovative Techniques
Plan
Logistics
PROSIM - Plan
PROSIM - Application Description (1/4)
PROSIM - Application Description (2/4)
PROSIM - Application Description (3/4)
PROSIM - Application Description (4/4)
PROSIM - Problem Definitions (1/2)
PROSIM - Problem Definitions (2/2)
PROSIM - Quantitative Input Data (1/2)
PROSIM - Quantitative Input Data (2/2)
PROSIM - Technique Used (1/9)
PROSIM - Technique Used (2/9)
PROSIM - Technique Used (3/9)
PROSIM - Technique Used (4/9)
PROSIM - Technique Used (5/9)
PROSIM - Technique Used (6/9)
PROSIM - Technique Used (7/9)
PROSIM - Technique Used (8/9)
PROSIM - Technique Used (9/9)
PROSIM - Quantitative Result Obtained (1/11)
PROSIM - Quantitative Result Obtained (2/11)
PROSIM - Quantitative Result Obtained (3/11)
PROSIM - Quantitative Result Obtained (4/11)
PROSIM - Quantitative Result Obtained (5/11)
PROSIM - Quantitative Result Obtained (6/11)
PROSIM - Quantitative Result Obtained (7/11)
PROSIM - Lesson Learned (1/2)
PROSIM - Lesson Learned (2/2)
Logistics
LASS - Plan
LASS - Application Description (1/3)
LASS - Application Description (2/3)
LASS - Application Description (3/3)
LASS - Problem Definitions (1/2)
LASS - Problem Definitions (2/2)
LASS - Quantitative Input Data (1/2)
LASS - Quantitative Input Data (2/2)
LASS - Technique Used (1/5)
LASS - Technique Used (2/5)
LASS - Technique Used (3/5)
LASS - Technique Used (4/5)
LASS - Technique Used (5/5)
LASS - Quantitative Result Obtained (1/2)
LASS - Quantitative Result Obtained (2/2)
LASS - Lesson Learned
Logistics
PUMA / COUGAR - Plan
PUMA - Application Description (1/5)
PUMA - Application Description (2/5)
PUMA - Application Description (3/5)
PUMA - Application Description (4/5)
PUMA - Application Description (5/5)
PUMA – Problem Definition (1/3)
PUMA – Problem Definition (2/3)
PUMA – Problem Definition (3/3)
PUMA – Quantitative Input Data (1/6)
PUMA – Quantitative Input Data (2/6)
PUMA – Quantitative Input Data (3/6)
PUMA – Quantitative Input Data (4/6)
PUMA – Quantitative Input Data (4/6)
PUMA – Quantitative Input Data (5/6)
PUMA – Quantitative Input Data (6/6)
PUMA – Technique Used (1/3)
PUMA – Technique Used (2/3)
PUMA – Technique Used (3/3)
COUGAR – Evolution/Adaptation of PUMA System (1/5)
COUGAR – Evolution/Adaptation of PUMA System (2/5)
COUGAR – Evolution/Adaptation of PUMA System (3/5)
COUGAR – Evolution/Adaptation of PUMA System (4/5)
COUGAR – Evolution/Adaptation of PUMA System (5/5)
PUMA / COUGAR - Lesson Learned (1/2)
PUMA / COUGAR - Lesson Learned (2/2)
VI. Industrial cases study
Plan
Logistics
Schuman - Customer Overview
Schuman - Highlights
Schuman – The challenge
Schuman – The solution
Bibliography
Bibliography
Bibliography
Bibliography
Bibliography
Bibliography
Bibliography
Aknoledgements
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