Managing Kanban Systems Two primary control parameters for a Kanban System. Kanban container size (n i ) Number of Kanbans (k i )

Slides:



Advertisements
Similar presentations
Statistical Inventory control models I
Advertisements

Determining the Optimal Level of Product Availability
6 | 1 Copyright © Cengage Learning. All rights reserved. Independent Demand Inventory Materials Management OPS 370.
© Wallace J. Hopp, Mark L. Spearman, 1996, The (Q,r) Approach Assumptions: 1. Continuous review of inventory. 2.
Q. 9 – 3 D G A C E Start Finish B F.
Inventory Management for Independent Demand Chapter 12, Part 2.
Chapter 3 Economic Order Quantity. Defining the economic order quantity.
3/7: Inventory Planning & Control
Managing Inventory throughout the Supply Chain
Chapter 9 Inventory management 库存管理. AIMS OF THE CHAPTER UNDERSTAND why organizations hold stocks ANALYSE the costs of holding stock CALCULATE economic.
Chapter 17 Inventory Control.
Inventory Control IME 451, Lecture 3.
OMSAN LOJİSTİK To allow for: Errors in Demand Forecasting Errors in Demand Forecasting Mistakes in Planning Mistakes in Planning Record Inaccuracies.
Types of Inventory Transit stock or pipeline inventory Cycle stock
Supply Chain Management (SCM) Inventory management
Chapter 9 Inventory Management.
CONWIP Systems CONWIP – Constant work-in-process
EMGT 501 HW #3 Solutions Chapter 10 - SELF TEST 7
ISEN 315 Spring 2011 Dr. Gary Gaukler. Demand Uncertainty How do we come up with our random variable of demand? Recall naïve method:
©2008 TTW Where “Lean” principles are considered common sense and are implemented with a passion! Product Training Kanban Purchasing.
Inventory Management Ross L. Fink.
Chapter 5 Aggregate Planning Operations Analysis Using MS Excel.
Customer Service in Pull Production Systems Mark L. SPEARMAN Presented By: Ahu SOYLU.
Chapter 12 – Independent Demand Inventory Management
Inventory control models EOQ Model. Learning objective After this class the students should be able to: calculate the order quantity that minimize the.
EOQ: How much to order; ROP: When to order Re-Order Point (ROP) in periodic inventory system is the start of the period. Where is ROP in a perpetual system?
Material Requirements Planning Dr. Everette S. Gardner, Jr.
Economic Order Quantity Bus M361-2 Sabrina Wu 11/28/2005.
MNG221- Management Science –
Maysoon Isleem.  As a policy, the inventory level is reviewed periodically and new items are ordered from a supplier, if necessary.  ** When items are.
PowerPoint presentation to accompany Chopra and Meindl Supply Chain Management, 5e Global Edition 1-1 Copyright ©2013 Pearson Education. 1-1 Copyright.
Copyright © 2011 SYSPRO All rights reserved. Inventory Optimization User Group 17 th August 2011.
Managing Business Processes: Demand Management Cheng Li, Ph.D. California State University, Los Angeles January 2002.
Independent Demand Inventory Management
Order Policy Codes for use in MRP and AVP
1 Inventory Control with Stochastic Demand. 2  Week 1Introduction to Production Planning and Inventory Control  Week 2Inventory Control – Deterministic.
1 Slides used in class may be different from slides in student pack Chapter 17 Inventory Control  Inventory System Defined  Inventory Costs  Independent.
Inventory Stock of items held to meet future demand
Copyright 2011 John Wiley & Sons, Inc. Chapter 9 Inventory Management 9-1.
When to re-order with EOQ Ordering
Economic Order Quantity The economic order quantity (EOQ) is the fixed order quantity (Q) that minimizes the total annual costs of placing orders and holding.
Economic Order Quantities (EOQs) The concept of an economic-order quantity addresses the question of how much to order at one time. The concept of an economic-order.
Independent Demand Inventory Planning CHAPTER FOURTEEN McGraw-Hill/Irwin Copyright © 2011 by the McGraw-Hill Companies, Inc. All rights reserved.
Inventory Stock of items held to meet future demand Inventory management answers two questions How much to order When to order.
Hierarchy of Production Decisions
© Wallace J. Hopp, Mark L. Spearman, 1996, EOQ Assumptions 1. Instantaneous production. 2. Immediate delivery. 3.
Managing Business Processes: Demand Management Cheng Li, Ph.D. California State University, Los Angeles July 2000.
The (Q, r) Model.
The Lean Enterprise Push versus Pull Lean Foundations Continuous Improvement Training Lean Foundations Continuous Improvement Training.
Real-time management of inventory for items Inventory Concept LOGISTIC & WAREHOUSING.
MBA 8452 Systems and Operations Management
Operations Research II Course,, September Part 3: Inventory Models Operations Research II Dr. Aref Rashad.
CHAPTER 13 INVENTORY MANAGEMENT. THE CONCEPTS Crucial for low profit margin, low cost strategy Determining appropriate inventory level by conflicting.
1 Lecture 7 Linearization of a Quadratic Assignment Problem Indicator Variables.
Just In Time ….. Just in Time Philosophy Salient features  The notion of waste in any operating system  JIT as a philosophy of elimination of waste.
Inventory Control. Meaning Of Inventory Control Inventory control is a system devise and adopted for controlling investment in inventory. It involve inventory.
Week 14 September 7, 2005 Learning Objectives:
CHAPTER 6 Inventory Management. Copyright © 2001 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin 6-2 Purposes of Inventory Enables.
JIT and Lean Operations Characteristics of Lean Systems: Just-in-Time  Pull method of materials flow  Consistently high quality  Small lot sizes  Uniform.
Inventory Stock of items held to meet future demand
5 INVENTORY MANAGEMENT.
Module 2: Supply Chain & Logistics Management
Basic Strategies Level capacity strategy: Chase demand strategy:
Inventory Planning, Control and Valuation
Inventory Control: Part 3 –Independent Demand Inventories
Kanban Replenishment for All Types of Industries
Chapter 17 Inventory Control.
LINGO LAB 3.
Inventory Stock of items held to meet future demand
Inputs and Outputs to APP
Presentation transcript:

Managing Kanban Systems Two primary control parameters for a Kanban System. Kanban container size (n i ) Number of Kanbans (k i )

Managing Kanban Systems Determining Kanban container size (n i ): Based on physical size of container Based on cost function – where c 1ij – fixed material handling cost per time using technology j. c 2ij – variable cost per time D i – demand for item i h i – holding cost for item i

Managing Kanban Systems Determining Kanban container size (n i ): To minimize the cost function with respect to n i,

Managing Kanban Systems Determining Kanban container size (n i ): Ex. Consider a process with 3 distinct operations and demand of 200,000 per year and an annual holding cost of $2 per unit per year. Option Annual cost Cost per trip Max load size Manual $27,000 $.15 2 Push Cart $28,000 $ Forklift $50,000 $ Manual – n i,man * = = 300 cost = Push cart – n i,push * = = 310 cost = Forklift – n i,fork * = = 735 cost = n ij * is greater than the kanban container size for Manual, Push Cart, and Forklift, therefore use container size.

Managing Kanban Systems Determining Number of Kanbans (k i ): Determined by lead time(  i ) to replenish – represents the amount of inventory needed to cover the time between when a Kanban is sent from the output buffer to be refilled, until it returns filled. The number of kanban is – where l is a safety factor.

Managing Kanban Systems How is lead time (  i ) determined? By observation – start with “too many” kanbans in the system. Mark the time when a kanban leaves the output buffer to be replenished. Record when the kanban returns to the output buffer. Record a number of observations and find the mean and standard deviation. To build in a safety factor, the lead time should be calculated as the mean plus 2 or 3 standard deviations.

Managing Kanban Systems Determining Production Quantity: Although rapid setup times are necessary for a kanban system to function effectively, there may be cases where technological or cost constraints make further reduction of setup time prohibitive. Let s i = setup time for item i. D i = annual demand for item i. Q i = lot size item i. t i = time to produce item i. Find the minimum Q i that satisfies:

Managing Kanban Systems Determining Production Quantity: Let s i = setup time for item i. D i = annual demand for item i. Q i = lot size item i. t i = time to produce item i. Find the minimum Q i ‘ that satisfies: Then Q i = Max{n i,Q i ‘}.

Managing Kanban Systems Key factors which must be in place before implementing a kanban system: Demand is approximately constant over a planning period Small setup times Available, flexible capacity Disciplined workforce

Managing Kanban Systems Managing demand variances. Some products demand rates tend to vary by the seasons, but with some known forecast. How can a Kanban system be implemented in this type of environment? Recall the number of kanban was found using: If we can forecast D for some next time period, we can add or subtract kanbans from the system accordingly.