IE 419 1 Work Design: Productivity and Safety Dr. Andris Freivalds Class #5.

Slides:



Advertisements
Similar presentations
6/3/2014 IENG 471 Facilities Planning 1 IENG Lecture Schedule Design: The Sequels Sequel.
Advertisements

Line Balancing Problem A B C 4.1mins D 1.7mins E 2.7 mins F 3.3 mins G 2.6 mins 2.2 mins 3.4 mins.
Front End Loader Costs ©Dr. B. C. Paul 2000 Start Detailed Economic Comparison of 3 machines l Strategy Go Through Each Machine and Figure the Cost Compare.
Chapter 4: Manufacturing Processes. Learning Objectives How production processes are organized Trade-offs to be considered when designing a production.
IE Work Design: Productivity and Safety Dr. Andris Freivalds Class #2.
1 IRWIN  a Times Mirror Higher Education Group, Inc. company, 1996 Facilities Layout.
Chapter 9– Capacity Planning & Facility Location
Problem Solving Tools INSY 3021 Auburn University Spring 2008.
Chapter 10 – Facility Layout
Facility Layout Facility Layout Facility Layout decisions translate the broader decisions about a firm’s strategy such as competitive priorities, process,
1 Facility Layout. 2 What Is Layout Planning Layout planning is determining the best physical arrangement of resources within a facility Two broad categories.
Chapter 10 – Facility Layout
Stat 301 – Day 20 Sampling Distributions for a sample proportion (cont.) (4.3)
COMSOAL Computer Method for Sequencing Operations for Assembly Lines Lindsay McClintock OPERMGT 345 – 004 May 6, 2003.
Chapter 14 – Gases Kinetic Molecular Theory (KMT) Defn – describes the behavior of gases in terms of particle motion Defn – describes the behavior of.
KESEIMBANGAN LINI PRODUKSI (PRODUCTION LINE BALANCING) (Bagian 1)
9/10/2015 IENG 471 Facilities Planning 1 IENG Lecture Schedule Design: The Sequel.
Dr. Cesar Malave Texas A & M University
Facility Layout Dr. Everette S. Gardner, Jr.. Facility Layout2 Machine shop process layout Receiving Grin- Mills ders Raw matl. Large number of storage.
1 Computer Communication & Networks Lecture 12 Datalink Layer: Multiple Access Waleed Ejaz
Introduction to the Theory of Constraints (TOC) & Critical Chain Project Management (CCPM) Major Mark McNabb.
© 2007 Pearson Education Simulation Supplement B.
© Wiley 2007 Chapter 10 Facility Layout. © Wiley 2007 OUTLINE What Is Layout Planning? Types of Layouts Designing Process Layouts Special Cases of Process.
Line Balancing Problem
10/25/2015 IENG 471 Facilities Planning 1 IENG Lecture Schedule Design: The Sequel.
Assembly Lines – Reliable Serial Systems
Assembly Line Balancing
Mba Facility Layout u Basic layouts u Some layout techniques u Assembly line balancing u Service Layout.
© The McGraw-Hill Companies, Inc., Technical Note 5 Facility Layout.
4: DataLink Layer1 Multiple Access Links and Protocols Three types of “links”: r point-to-point (single wire, e.g. PPP, SLIP) r broadcast (shared wire.
Process Layout Chapter 7 July 20, 2005.
Line Balancing. Example problem - Golf Club mfg/assy firm Customer demand requires production volume of 24 finished clubs in an 8 hour shift Customer.
Stat 13 Lecture 19 discrete random variables, binomial A random variable is discrete if it takes values that have gaps : most often, integers Probability.
McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. 1.
Assembly Line Balancing Introduction to Industrial Engineering.
Reid & Sanders, Operations Management © Wiley 2002 Facility Layout 10 C H A P T E R.
Machine Review. Inclined Plane Effort Force Load Distance Load Force Effort Distance.
This presentation is for educational purpose only – Copyrights 2014 © Dr Ahmed Jaheen.
Layout and Design Kapitel 4 / 1 (c) Prof. Richard F. Hartl Flow shop production Object-oriented Assignment is derived from the item´s work plans. Uniform.
Operations Fall 2015 Bruce Duggan Providence University College.
Queuing Models in Operations
Facilities design. Main Topics Discrete vs. Continuous Flow and Repetitive Manufacturing Process vs. Product-focused designs and the other currently used.
Sampling and estimation Petter Mostad
Algorithm A procedure described by a series of steps. Click here for Hint project or algorithm or load distance?
Work-in-process (WIP) Inventory resulting from transformation of raw materials, but not yet ready for sale to consumers. Click here for Hint finished goods.
Part 3.
IE 366 Chapter 9 Organization of Workstations Supplementary Material from: Groover, M.P. (2007). Work Systems and the Methods, Measurement, and Management.
Supply Chain Customer Order Decoupling Point
Introduction to the Theory of Constraints (TOC) & Critical Chain Project Management (CCPM) Major Mark McNabb.
McGraw-Hill/Irwin ©2009 The McGraw-Hill Companies, All Rights Reserved
Perancangan Sistem Manufaktur
Additional line balancing notes
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Load Balancing: List Scheduling
organizational structure
Ch. 8 – Sequences, Series, and Probability
Assoc. Prof. Dr. Peerapol Yuvapoositanon
Advanced Placement Statistics Section 7.2: Means & Variance of a
3 Assembly Line Balancing CHAPTER Arranged by
Link Layer and LANs Not everyone is meant to make a difference. But for me, the choice to lead an ordinary life is no longer an option 5: DataLink Layer.
Continuous Random Variable Normal Distribution
Binomial Theorem; Pascal’s Triangle
Process Selection and Facility Layout Lecture 5. Forecasting Product and Service Design Technological Change Capacity Planning Process Selection Facilities.
Using the queuing-theoretic approximations for the performance of “push” and “pull” production lines to address Design Problems.
Summer Training Industrial Engineering Department
Stat Lab 9.
Load Balancing: List Scheduling
Simulation Supplement B.
Simulation Supplement B
Algebra and Indices.
Presentation transcript:

IE Work Design: Productivity and Safety Dr. Andris Freivalds Class #5

IE Work Design: Productivity and Safety Dr. Andris Freivalds Class #5

IE Worker-Machine Relationships (Ch. 2, pp ) Worker-machine relationships –Synchronous servicing – regular cycles –Random (asynchronous) servicing – random –Combination – real life N ≤ (l + m) (l + w)

IE Ex. #1 l = 1.0, m = 2.0, w = 0.1 Oper=$10/hr, Mach=$20/hr 3 machines ($1.28) 2 machines ($1.25)

IE Ex. 3 – No Load l = 0, m = 1.2, w = 2.0, oper = $10/hr, mach = $15/hr TimeOperMach

IE Ex. 3 – No Load l = 0, m = 1.2, w = 2.0, oper = $10/hr, mach = $15/hr TimeOper1Oper2Mach

IE Random Servicing Machine servicing is not regular Most likely it is random (don’t know when) Use probability theory to estimate % idle time (binomial expansion) Probability of m (out of n) machines down = n! p m q (n-m) m! (n-m)! p = prob of down time q = prob of up time = 1-p

IE Ex #1: n=3, p=0.1, q=0.9, % idle time? Mach down (m) Probability n! p m q (n-m) / m! (n-m)! Mach hrs lost (1 op) Mach hrs lost (2 op) Mach hrs lost (3 op) Total

IE Ex #1 con’t: oper = $10/hr, mach = $500/hr, prod = 120 units/hr 1 oper2 oper3 oper idle Prod (8 hr) Cost (8 hr) Unit cost

IE Ex #2: n=3, p=0.4, q=0.6 mProbabilityHrs lost (1 oper) Hrs lost (2 oper)

IE Ex #2 con’t: oper = $10/hr, mach = $60/hr, prod = 60/hr 1 oper2 oper3 oper idle Prod (8 hr) Cost (8 hr) Unit cost

IE Complex Relationships (n↑) n > 6 Use Wright’s formula i = interference, % of l n = # machines x = m/l n ≤ 6 i = 50{[(1+x-n) 2 +2n] ½ - (1+x-n)}

IE Ex #3: m = 7, l =1, n = 6 n > 6 Use Wright’s formula i = interference, % of l n = # machines x = m/l n ≤ 6 i = 50{[(1+x-n) 2 +2n] ½ - (1+x-n)}

IE (Assembly) Line Balancing (Ch. 2, pp ) Worker-machine relationship determining ideal number of workers/workstations in production line Simple straight line (Ex #1): OperST/opDelay time ST ReqST #OperNew ST/op New Delay

IE Straight Line Balancing ( Ex #1 con’t) OperST/opDelay time ST ReqST #OperNew ST/op New Delay % efficiency (E) = 100 x ∑ST/∑AT % idle = 100 x ∑DT/∑AT Req. production (R) = 3,200/day → required standard (cycle) time # oper = R x ∑ST = ∑ST/ CT=

IE Complex Line Balancing ( Ex #2) Time set by slowest station (cycle time) Assign operators to a workstation: –Until cycle time is about to be exceeded –In order of decreasing positional weight –PW = ∑ST for all with “1” relationship –As allowed by precedence (i.e. immediate predecessors (IP) need to be assigned)

IE Positional Weight (PW) Matrix OpSTDT PWIP

IE Fill Workstations (Ex #2 con’t) # workstations = Rx∑ST = ∑ST/ CT= OperIPPWSTStation TDelay T