1 Time Costing Method in PSD Decisions Material Management Class Note #5-B Prof. Yuan-Shyi Peter Chiu Feb. 2011.

Slides:



Advertisements
Similar presentations
Statistical Inventory control models I
Advertisements

1 Prof. Yuan-Shyi Peter Chiu Feb Material Management Class Note # 1-A MRP – Capacity Constraints.
Lecture 5 Decision Analysis Chapter 14.
Linear Programming: Simplex Method and Sensitivity Analysis
12 Inventory Management.
12 Inventory Management.
1 By: Prof. Y. Peter Chiu By: Prof. Y. Peter Chiu 9 / 1 / / 1 / 2010 Advanced P.O.M. Chap. 3 Aggregate Planning.
The Rational Decision-Making Process
1 Material Management Class Note # 5-A ( in review ) Project Scheduling & Management Prof. Yuan-Shyi Peter Chiu Feb
Material Requirements Planning (MRP)
1 Material Management Class Note # 3-A ( In review ) ~ Inventory control, analysis, and management ~ Prof. Yuan-Shyi Peter Chiu Feb
1 Chapter 10- Order Quantities IM417 Manufacturing Resources Analysis Southeast Missouri State University Compiled by Bart Weihl Spring 2001.
1 Prof. Yuan-Shyi Peter Chiu Feb Material Management Class Note # 1-A MRP – Capacity Constraints.
Optimization Linear Programming and Simplex Method
Chapter 8 Economic Principles  Choosing Input and Output Combinations
1 Wagner – Whitin Algorithm Prof. Yuan-Shyi Peter Chiu Feb Material Management Class Note #1-B.
Cost Minimization An alternative approach to the decision of the firm
The Simplex Method.
Linear programming. Linear programming… …is a quantitative management tool to obtain optimal solutions to problems that involve restrictions and limitations.
Stevenson and Ozgur First Edition Introduction to Management Science with Spreadsheets McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies,
Purchasing.
Introduction Tables and graphs can be represented by equations. Data represented in a table can either be analyzed as a pattern, like the data presented.
Operations Management
Murat Kaya, Sabancı Üniversitesi 1 MS 401 Production and Service Systems Operations Spring Aggregate Production Planning (APP) Slide Set #8.
Industrial Buying Decision Process It is also known as organizational buying process or business buying process. Industrial purchasing decision making.
6.1 Chapter 7 – The Theory of Consumer Behavior  The Theory of Consumer behavior provides the theoretical basis for buyer decision- making and the foundation.
1 Slides used in class may be different from slides in student pack Chapter 3 Project Management  Definition of Project Management  Structuring Projects.
Inventory Management MD707 Operations Management Professor Joy Field.
Managing Uncertainty in Supply Chain: Safety Inventory Spring, 2014 Supply Chain Management: Strategy, Planning, and Operation Chapter 11 Byung-Hyun Ha.
GROUP MEMBERS AMARASENA R.G.C. (061004D) DE MEL W.R. (061013E) DOLAPIHILLA I.N.K. (061017U) KUMARAJITH R.M.E. (061031G)
13Inventory Management. 13Inventory Management Types of Inventories Raw materials & purchased parts Partially completed goods called work in progress.
1 Material Management Class Note # 6 Project Scheduling & Management Prof. Yuan-Shyi Peter Chiu Feb
1 Managing Flow Variability: Safety Inventory Operations Management Session 23: Newsvendor Model.
Constraint management Constraint Something that limits the performance of a process or system in achieving its goals. Categories: Market (demand side)
Inventory Models in SC Environment By Debadyuti Das.
UML Ops Analysis Don Sutton. Functions of Inventory Decoupling Storing resources Irregular supply and demand Quantity discounts Avoiding stock.
Summary of Previous Lecture We studied the first part of chapter 10, i.e. Accounts Receivable and Inventory Management and covered the following topics.
1 Inventory Control. 2  Week 1Introduction to Production Planning and Inventory Control  Week 2Inventory Control – Deterministic Demand  Week 3Inventory.
@ 2012, Cengage Learning Differential Analysis, Product Pricing, and Activity-Based Costing LO 1c – Make or Buy Decisions and Replace Equipment Decisions.
Reducing Project Duration CHAPTER NINE Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
1 Network Models Transportation Problem (TP) Distributing any commodity from any group of supply centers, called sources, to any group of receiving.
1 Inventory Control with Time-Varying Demand. 2  Week 1Introduction to Production Planning and Inventory Control  Week 2Inventory Control – Deterministic.
Earliness and Tardiness Penalties Chapter 5 Elements of Sequencing and Scheduling by Kenneth R. Baker Byung-Hyun Ha R1.
1 Resource-Constrained Multiple Product System & Stochastic Inventory Model Prof. Yuan-Shyi Peter Chiu Feb Material Management Class Note #4.
Prof. Yuan-Shyi Peter Chiu
Lags in Precedence Relationships
Chapter 11 Managing Inventory throughout the Supply Chain
© 2009 South-Western, Cengage LearningMARKETING 1 Chapter 12 BUSINESS-TO-BUSINESS MARKETING 12-1Business-to-Business Exchanges 12-2Making Business Purchase.
‘Crashing’ – reducing task durations by increased costs ( lecture )
Design Visualization Visualize building early in the process to support and accelerate the decision making process. Schedule Visualization Visualize construction.
Engineering design is the process of devising a system, component, or process to meet desired needs. It is a decision-making process (often iterative),
1 Slides used in class may be different from slides in student pack Chapter 3 Project Management  Definition of Project Management  Work Breakdown Structure.
1 Optimization Linear Programming and Simplex Method.
Minimum Price $100. Minimum Price $45 Minimum Price $40.
MGT 350 Week 1 DQ 1 What is critical thinking? What characteristics do critical thinkers demonstrate? What are the benefits of critical thinking? How is.
WEB 434 Week 5 DQ 2 Identify and describe three critical practices to achieve search engine optimization (SEO). Check this A+ tutorial guideline at
ECO 365 Week 1 DQ 5 a.) Identify a recent purchase in which the price of the product was an important consideration in the decision making process related.
PSY 450 Week 1 Individual Introduction to Cross-Cultural Psychology Paper Prepare a to 1,350-word paper in which you analyze cross-cultural psychology.
Linear Programming for Solving the DSS Problems
Linear Programming.
Engineering Economics (2+0)
Select Requisitions Standard
Introduction to Decision Analysis & Modeling
Optimal Level of Product Availability Chapter 13 of Chopra
If f(x) = 4x – 3, find each function value.
Constraint management
Chapter 6 Network Flow Models.
If f(x) = 4x – 3, find each function value.
Where We Are Now. Where We Are Now Rationale for Reducing Project Duration Time Is Money: Cost-Time Tradeoffs Reducing the time of a critical activity.
Where We Are Now. Where We Are Now Rationale for Reducing Project Duration Time Is Money: Cost-Time Tradeoffs Reducing the time of a critical activity.
Presentation transcript:

1 Time Costing Method in PSD Decisions Material Management Class Note #5-B Prof. Yuan-Shyi Peter Chiu Feb. 2011

2 §. P 1: Introduction to PSD decision ■ Product Structure Diagram :◇ Trumpet ( End Item ) Bell assembly (1) Lead time = 2 weeks Valve casing assembly (1) Lead time = 4 weeks Valves (3) Lead time=3 weeks Slide assemblies(3) Lead time = 2 weeks

3 §. P 1: Introduction to PSD decision ■ Key considerations: ◆ supplier’s Lead time ◆ supplier’s Yield rate ◆ supplier’s Unit cost (price) ■ Key methodologies: ◆ Critical path method (CPM) - to find the critical path activities, and total product completion time ◆ Time costing method - to analyze the trade-off between supplier’s lead time and the adjusted unit cost, and to search for the optimal suppliers selection alternatives

4 §. P 2: Demonstration ◇ ■ Naming Activities

5 §. P 2: Demonstration ■ Obtaining the Critical Path for Trumpet Example (by CPM )

6◇ §. P 2: Demonstration

7◇ ■ Notation: PSDproduct structure diagram, refers to the relationship between the components at adjacent levels of the system, containing quantity and lead time information. iith level of the PSD j jth activity of the PSD Aijjth activity (or refers to manufacture or purchase the jth component or part), in level i of the PSD Nijquantities required for component (or part) produced in Aij, to form one unit of the end product (as described by PSD) Cijnunit cost required by the nth supplier to complete activity Aij Lijnlead time required by the nth supplier to complete activity Aij Yijnyields of the nth supplier when selected to provide activity Aij

8 ■ Notation: PCproduction cost per end item TPCTtotal product completion time Sijnthe nth supplier selected to complete activity Aij Bestimated benefit (saving) per unit TPCT reduction (CI)ijn cost increase per unit TPCT reduction, by selecting nth supplier to replace current solution for activity Aij (CBR)ijn cost/benefit ratio per unit TPCT reduction, by selecting nth supplier to replace current solution for activity Aij Assumption: 1. Nijconstant and known from the PSD 2. Both Yijn and Lijn are known, constant; Yijn decreases as Lijn decreases §. P 2: Demonstration

9 STEP 1: Find the initial set (solution) of suppliers, selecting the minimum adjusted unit cost among a number of suppliers for every activities on the PSD. Obtaining lead time information for all initial suppliers selected. STEP 2: Find the critical path activities (CPA), using critical path method (CPM), the PSD information, the initial solution of suppliers and their lead times. Obtaining the total product completion time (TPCT, ie. the minimum time required to manufacture an end item.) STEP 3: Check the existence of alternative suppliers, who have less lead time than current suppliers solution that belong to CPA. If none exist, go to STEP 6. §. P 2 : Demonstration ■ Algorithm for Suppliers Selection:◇

10 §. P 2 : Demonstration ■ Algorithm for Suppliers Selection:◇ STEP 4: Find suppliers with cost/benefit ratio (CBR) ≦ 1 (where both cost and benefit are regarding to reduction of one unit of TPCT.) If none exist, go to STEP 6. STEP 5: Select the alternative supplier(s) with the minimum CBR, and replace it in the current suppliers solution. Repeat STEP 2. STEP 6:STOP, The current supplier solution is the optimal one.

11 §. P 2 : Demonstration ■ Algorithm for Suppliers Selection:◇ Result: For activity A12 obtains { S123, S124, S125 } For activity A22 obtains { S223, S224, S225 } STEP 4:Find suppliers with cost/benefit ratio (CBR) ≦ 1 Result:For activity A12 obtains { S123, S124, S125 } For activity A22 obtains { S223, S225 }

12 §. P 2 : Demonstration ■ Algorithm for Suppliers Selection: STEP 5: Select the supplier(s) with the minimum CBR, and replace it from the current suppliers solution. Repeat STEP 2. Result: Find minimum at S123. Replace S122 by S123. Current solution is { S011, S112, S123, S211, S221 } Production Cost (PC) = Σ( Nijn )(Cijn/Yijn) = $60.75 Cumulative B = $2.12. \ Total Production Cost (TPC)=PC - B=$58.63

13 §. P 2 : Demonstration ■ Algorithm for Suppliers Selection: Result: Current solution is { S011, S112, S123, S211, S221 } Total Production Cost (TPC)=PC - B=$58.63 ● ● ●

14 §. P 2 : Demonstration ■ Algorithm for Suppliers Selection: ● ● ●

15 §. P 2 : Demonstration ■ Algorithm for Suppliers Selection: ● ● ●

16 §. P 2 : Demonstration ■ Algorithm for Suppliers Selection:

17 §. P 2 : Demonstration ■ Algorithm for Suppliers Selection: Final solution is { S011,S112,S124,S211,S223 } Total Production Cost (TPC)=$ Total product completion time (TPCT) = 4.

18 The End