Mixed Model Production

Similar documents
Toyota Production System. Lecturer: Stanley B. Gershwin

Lean enterprise Boeing 737 manufacturing Lean Production System

Implementing Automation after Making Lean Improvements

Capacity, Inventory, Variability and. Manufacturing Strategy

Appendix Lean Glossary Page 1

Computer Integrated Manufacturing CIM A T I L I M U N I V E R S I T Y

Lean Principles by Jerry Kilpatrick

The Tools of Lean - Value Stream Mapping

Connecting Assembly with Batch Processes Via Basic Pull Systems

times, lower costs, improved quality, and increased customer satisfaction. ABSTRACT

Lean manufacturing and ERP: How to leverage ERP to get lean

Work Cells and Cellular Manufacturing

THE BEGINNER S GUIDE TO LEAN

Dependent vs Independent Demand. The Evolution of MRP II. MRP II:Manufacturing Resource Planning Systems. The Modules In MRP II System

LEAN, SIX SIGMA, AND ERP:

Universidad del Turabo MANA 705 DL Workshop Eight W8_8_3 Aggregate Planning, Material Requirement Planning, and Capacity Planning

Value Stream Mapping

Lean vs. Agile similarities and differences Created by Stephen Barkar -

Analyze Mix for Opportunities. Create Full Current State Value Stream Map. Create Full Future State Value Stream Map

Chapter 11. MRP and JIT

Ten Critical Questions to Ask a Manufacturing ERP Vendor

IMPACT OF PROCESS VARIABILITY ON LEAN MANUFACTURING SYSTEMS

How To Run A Lean Manufacturing Plant

Industrial Automation. Course Notes

Manufacturing Planning and Control

Getting Started with Lean Process Management

Lean Management Standards: Manufacturing

Increased Productivity of Tyre Manufacturing Process using Lean Methodology

Push and Pull Production Systems

A Review of Assembly Line Changes for Lean Manufacturing

Achieving Basic Stability By Art Smalley

Lean Manufacturing: Part 1. Charles Theisen, CPIM, CIRM. Lean Manufacturing Part 1

Misunderstandings About Value-Stream Mapping, Flow Analysis, and Takt Time

L E A N M A N U F A C T U R I N G

STANDARDIZED WORK 2ND SESSION. Art of Lean, Inc. 1

The Thinking Approach LEAN CONCEPTS , IL Holdings, LLC All rights reserved 1

Anytime 500 Forecast Modeling

Planning Optimization in AX2012

OM (Fall 2015) Outline Global Company Profile:

Lean Manufacturing and Six Sigma

The Application of Lean Production Control Methods within a Process-Type Industry: The Case of Hydro Automotive Structures

BSCM Sample TEST. CPIM(Certified In Production & Inventory Management) - 1 -

Ten Critical Questions to Ask a Manufacturing ERP Vendor

Ch.1 Purchasing & Supply Chain Management

VALUE STREAM MAPPING ICONS

COST ESTIMATING METHODOLOGY

Experiences with The Trimrian factory game - a production game within the education of Bachelor Production Engineers

LOOP Technology Limited. vision. inmotion IMPROVE YOUR PRODUCT QUALITY GAIN A DISTINCT COMPETITIVE ADVANTAGE.

Creating Continuous Flow

PARADIGMS THAT DRIVE COSTS IN MANUFACTURING. The whole purpose of a business enterprise is pretty simple to make a profit by selling

VALUE STREAM MAPPING KITS

Pioneers of Lean Manufacturing Taiichi Ohno &...

Warning: This document may be duplicated for instructional use within the institution purchasing the case. Other duplication is prohibited.

Design and Analysis of Automobiles Manufacturing System Based on Simulation Model

Assembly Cell or. If you re like most production framers, you ve probably

IBM Information Technology Services Global sourcing.

Moving Service Management to SaaS Key Challenges and How Nimsoft Service Desk Helps Address Them

Does enterprise resource planning software support lean? ERP goes 44 TARGET AME.ORG/TARGET

CSCP APICS Certified Supply Chain Professional APICS

From Big Data to Smart Data How to improve public transport through modelling and simulation.

New robot improves costefficiency. spot welding. 4 ABB Review 3/1996

Time Series Forecasting Techniques

Computer Integrated Manufacturing Course Description

4.1. Chapter 4. Process design 4.1

AN INDUSTRIAL APPLICATION OF THE SMED METHODOLOGY AND OTHER LEAN PRODUCTION TOOLS

Real-Time Shop WHITEPAPER. Floor Integration, Simplified

BEYOND THE BASICS OF MRP: IS YOUR SYSTEM DRIVING EXCESSIVE ORDER QUANTITITES? Michael D. Ford, CFPIM, CSCP, CQA, CRE Principal, TQM Works Consulting

Lean manufacturing in the age of the Industrial Internet

Lean Manufacturing Strategic Initiative Guidebook

Lean Six Sigma Lean 201 Introduction. TECH QUALITY and PRODUCTIVITY in INDUSTRY and TECHNOLOGY

THE PRINCIPLES AND PLANNING PROCESS OF AN ELECTRONIC KANBAN SYSTEM

Interpreting the Numbers: From Data to Design. William Elenbark, Consultant Gross & Associates ; belenbark@grossassociates.

CISCM STUDY GUIDE. International Purchasing and Supply Chain Management Institute,

Using lean methodologies to improve performance

TOYOTA AND ITS COMPONENT SUPPLIERS CASE STUDY

Lean Training Ideas for TECOM. The Marine Corps needs more training time. Industry best practices can improve our training pipeline.

Lean in Product Development

Developing a Formidable Business / Continuous Improvement Methodology in Africa. By: Frederick O Popoola

I. INTRODUCTION A. There are two aspects to an effective operating system: 1. Design 2. Control.

Lean Software Development and Kanban

Full-time MSc in Logistics and Supply Chain Management

Choosing Between Electromechanical and Fluid Power Linear Actuators in Industrial Systems Design

Job Manager for Metal Fabrication

As a leader in the machine tool

AUTOMATIC ENGINEERING

Four Strategies for Smarter Inventory Control

SAP Configuration Management at Harley-Davidson Motor Company SAP Product Configurator Info Day

Re-balancing of Generalized Assembly Lines Searching Optimal Solutions for SALBP

Original source of publication:

Five Tips to Achieve a Lean Manufacturing Business

2 Organizations and Organizational Structures 2.1 Functional and Project Organizations, Typical Goals and Performance Measures

The Mississippi River & Tributaries Project

Chapter 12. Aggregate Expenditure and Output in the Short Run

Developing Software in a Private workspace PM PMS

OPTIMIZING PRODUCTION

forecast modeling Statistical Calculations, Replacement Items, and Forecast Templates for Demand Planning Industries Required Modules:

BEBR FACULTY WORKING PAPER NO

A Book Review: Lean Thinking by Womack and Jones

Transcription:

Strategos, Inc. 3916 Wyandotte Kansas City MO 64111 USA 816-931-1414 Mixed Model Production By Quarterman Lee, P.E. Strategos, Inc. C O N S U L T A N T S E N G I N E E R S S T R A T E G I S T S www.strategosinc.com 1

Mixed Model Production What Is Mixed Model Production? Mixed Model Production is the practice of assembling several distinct models of a product on the same assembly line without changeovers and then sequencing those models in a way that smoothes the demand for upstream components. The objective is to smooth demand on upstream workcenters or suppliers and thereby reduce inventory, eliminate changeovers, improve kanban operation. It also eliminates difficult assembly line changeovers. Toyota developed the concept in the 1960's in response to the problems created by line changeovers. It originally applied to long assembly lines such as those used in automotive. However, Mixed Model Production is adaptable to other situations. There are also alternatives, such as assembly cells, that accomplish the same purpose, often with better results. This topic also relates to Focused Factories in because it addresses the same issues at a more detailed level. The Underlying Principle Henry Ford demonstrated that steady, repetitive production dramatically reduces cost. This is true for both assembly operations and for upstream fabrication. However, when final assembly models proliferate and the issue is addressed by changeovers and long runs on the assembly line, it creates highly variable demand in upstream fabrication and subassembly. The ideal production system would be like a smoothly flowing stream with many tributaries and no pools, dams or other accumulations. Figure 1 The Ideal Flow Or......like a marching band with everyone in step, spaced at a fixed distance, all in time to the music beat and smoothly flowing from one figure to another throughout the performance. This is the origin of "Takt Time." 2

Figure 2 Marching Band analogy Demand Pattern With Batch & Line Changeover Assume a scenario where an assembly line builds three major variations of the similar endproduct in figure 3. Assume also that the upper component comes from three separate sources (vendors or workcenters). The graph of figure 4 shows average demand for each product. Average Daily Customer Demand 4 1-GRN 2-YEL 3-RED 2 1-GRN Figure 3 The Three Similar Products 2-YEL 3-RED Figure 4 Demand Pattern On large assembly line, setup is often problematic. Parts are brought in for a new job and remaining parts taken away for the just-completed job. Such lines often need re-balancing with different stations and task assignments. Then, there is the initial startup as everyone gets accustomed to the new configuration. If parts do not fit, or cannot be found, there is more disturbance. When, at last, the line is humming, nobody wants to disturb it with another changeover. Such is the case with our hypothetical assembly line. And so, once setup, it runs for at least a week on the first product, 1-GRN. At the end of a week, 40 units are complete. After another frenetic changeover to product 2-YEL, the line runs for 2.0 weeks since the demand for this part is higher. Another changeover and, for another week, the line runs 3-RED. Figure 5 illustrates. 3

Figure 5 Demand Patterns With Conventional Batch Assembly The three suppliers for the upper covers of, respectively, 1-GRN, 2-YEL and 3-RED, see high demand for one or two weeks and then no demand for 2-3 weeks. One way to deal with this intermittent upstream demand is to size upstream production for the overall average demand for each part and then build inventory between production runs. This, however, creates a host of inventory control, scheduling and quality problems. Mixed Model Assembly lines address this situation. Demand Patterns With Mixed Model Lines A Mixed Model Assembly line is configured to produce several models without changeover. The mixed Model Line, as pioneered by Toyota, is shown in figure 6. A schedule specifies the proportion of each model required for customer demand. In this example, the proportions are 25%, 25% and 50%. Figure 6 Conversion To Mixed Model Line 4

FinalAsembly BroadcastProductionControl Proper sequencing of products smoothes the demand on upstream suppliers even further. In this example, the sequence is: RYGY--RYGY--RYGY--RYGY Red- 1.0 Unit Every 2.0 Hours Yellow- 1.0 Unit Every Hour Green- 1.0 Unit Every 2.0 Hours A mixed model line may complicate line operations to some extent. However, it streamlines and simplifies upstream operations as well as the inventory, scheduling and transport system that connect the line with upstream operations. Among the benefits are: Upstream Demand Is Steady Machines Sized For Customer Demand Simplified Scheduling Such As Kanban Stable Labor Requirements Simpler Transport Dedicated Assembly Cells Toyota probably used Mixed Model Assembly lines because their large Detroit-style lines were already in place. It may have seemed like a natural and easy solution to the problem of upstream demand smoothing. But there is another method for providing smooth demand: Final Assembly Cells. In this approach, the assembly line is broken down into multiple, smaller workcells. Each workcell produces a single model or, perhaps, several models with a high degree of part commonality. Machining/Fab 2.0 Per Day 4.0 Per Day 2.0 Per Day 1-GRN Cell 2-YEL Cell 3-RED Cell Final Assembly Workcells Figure 7 Dedicated Assembly Cells 5

BroadcastProductionControl FinalAsembly Integrated Assembly-Fabrication Cells A further evolution of assembly cells is to incorporate some (or all) upstream fabrication into the cells. The figure below shows how the fabrication equipment for each model joins with respective assembly operations in a cell or sub-cell. It provides even closer coordination and corresponding improvements in quality and inventory. 2.0 Per Day 4.0 Per Day 2.0 Per Day Integrated Assembly Workcells Figure 8 Integrated Assembly-Fabrication Cells Enabling Mixed Model Lines & Dedicated Cells The principle of Mixed Model Production is simple enough. Designing the process and system is often more difficult. When people are enmeshed in an existing system they have difficulty envisioning how mixed model, smoothly flowing production is possible. It helps to ask two key questions: 1. What must be true for this to work? 2. How could we make it true? Thoroughness and tenacity can often make various conditions true and achieve (or come close to) the ideal model of a smoothly flowing stream. The following tables summarize some of the design problems related to mixed model lines, dedicated assembly cells and integrated cells. They also suggest possible solutions. 6

Mixed Model Assembly Lines Problem Description Solutions Work Balance When different models have different work content, operations must be flexible enough to deal with the product mix. A constantly moving line does only lends itself to mixed model production when work content is nearly identical for each station. See Balancing Workcells. Small Queues between stations accommodate short-term variation. Adjacent workers share tasks and help each other. Fewer stations and longer task times. Part Availability Tool Availability Fabrication Setup Reduction For a mixed model assembly line to function, every part for every product must be immediately available. Tools and special fixtures must be readily available. (This is seldom a problem when the product is small. It may be a problem with large products such as refrigerators or vehicles.) Dedicated fabrication equipment is not always available. Long, expensive and/or inconsistent changeovers force large batches and high inventory between fabrication and the mixed model line. Small quantity of every part replenished by Kanban. Multi-purpose fixtures & Tools Setup Reduction Dedicated cells with a permanent setup of fixtures & tools. Setup Reduction In Fabrication with small lots. Redesign fabrication processes with more dedicated equipment, even (if necessary) at the cost of decreased labor efficiency. Investigate alternate processes. Dedicated Assemby Cells Problem Description Solutions Demand Variability Variation in demand for each dedicated cell may be larger than the variation for a single line. (Peaks and valleys of demand often cancel when combined.) Design assembly cells for multiple levels of staffing. Move people between cells to balance output & demand. Provide excess equipment capacity to handle peak demands. Cell Design Workcells appear simple and this is especially true for assembly cells. In reality they are complex and sometimes sensitive socio-bio-technical systems. Design cells from fundamental principles. Integrated Cells Problem Description Solutions Process Incompatibility This usually involves processes that must be isolated for environmental reasons (Dust, Dirt, Chemicals or Noise). Address the environmental problem with dust control, noise control, etc. Investigate alternate processes. Process Scale Special Skills Large-scale fabrication processes have too much capacity for a single assembly cell. Certain tasks require extensive skills, experience and/or training but do not require a full-time operator for each cell. Investigate alternate equipment and methods. (e.g. small, manual paint booth replacing large paint line) Tools, fixtures or gages that require less skill Train or cross train Train cell workers in basics with consultant for difficult problems. The daily tasks often do not require high skills or knowledge. 7