OM&PM/Class 7a1 Operations Management & Performance Modeling 1Operations Strategy 2Process Analysis 3Lean Operations 4Supply Chain Management 5Capacity.

Slides:



Advertisements
Similar presentations
Capacity Planning and Queuing Models
Advertisements

Capacity Planning. How much long-range capacity is needed When more capacity is needed Where facilities should be located (location) How facilities should.
Capacity Planning For Products and Services
Flow Rate and Capacity Analysis
Operations Management
OPSM 301: Operations Management Session 12: Service processes and flow variability Koç University Graduate School of Business MBA Program Zeynep Aksin.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 5 Capacity Planning For Products and Services.
CAPACITY LOAD OUTPUT.
© 2004 Prentice-Hall, Inc. 8-1 Chapter 8 Aggregate Planning in the Supply Chain Supply Chain Management (3rd Edition)
Aggregate Planning in a Supply Chain
Aggregate Planning in a Supply Chain
S. D. Deshmukh OM V. Capacity Planning in Services u Matching Supply and Demand u The Service Process u Performance Measures u Causes of Waiting u Economics.
14 – 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall. Operations Planning and Scheduling 14 For Operations Management, 9e by Krajewski/Ritzman/Malhotra.
Aggregate Planning Ash Soni ODT Department Kelley School of Business.
Chapter 8 Aggregate Planning in a Supply Chain
Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Capacity Planning and Queuing Models.
S. Chopra/Operations/Managing Services1 Operations Management: Capacity Management in Services Module u Why do queues build up? u Process attributes and.
1 Term Project – Call Center Operations SOM 686, Fall 2006 Darren Mitchell Hayden Gilbert Serge Suprun.
OPSM 405 Service Management Class 19: Managing waiting time: Queuing Theory Koç University Zeynep Aksin
OM&PM/Class 2b1 1Operations Strategy –Class 1a: Introduction to OM –Class 1b: Strategic Operational Audits 2 Process Analysis –Class 2a + 2b: Process Flow.
MANAGING DEMAND AND CAPACITY Donna J. Hill, Ph.D. Fall 2000.
1 Process Management and Strategy Introduction 1Ardavan Asef-Vaziri Sep-09 Process -1 Business Process Management Building block of Operations Management.
OM&PM/Class 7b1 1Operations Strategy 2Process Analysis 3Lean Operations 4Supply Chain Management 5Capacity Management in Service 6Quality Management –Class.
Process Analysis and Applications Module
OM&PM/Class 2a1 1Operations Strategy –Class 1a: Introduction to OM –Class 1b: Strategic Operational Audits 2Process Analysis –Class 2a: Process Flow Analysis.
14-1. Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin 14 Capacity Planning and Queuing Models.
Waiting lines problems
OM&PM/Class 6b1 1Operations Strategy 2Process Analysis 3Lean Operations 4Supply Chain Management 5Capacity Management in Services –Class 6b: Capacity Analysis.
Chapter 18 Management of Waiting Lines
Capacity Management in Services Module
1 Ardavan Asef-Vaziri Sep-09Operations Management: Waiting Lines3  Terminology: The characteristics of a queuing system is captured by five parameters:
OPERATIONS MANAGEMENT OPRE 6260 Raymond Lutz. Products, Processes, and Performance - Chapter 1 Learning Objectives An operation as a transformation process.
Buffer or Suffer Principle
Human Capital in China Insurance Industry Dominic Leung Chairman and CEO, Ping An Insurance, P. R. China 12 th July, 2005 This report is solely for the.
Bogdan Lazaroae: Using technology for improved decision making Bucharest, Romania, May 30, 2007 From Call Data.
OPSM 301: Operations Management
MBA 8452 Systems and Operations Management MBA 8452 Systems and Operations Management Product Design & Process Selection —Service.
OPSM 501: Operations Management Week 6: The Goal Koç University Graduate School of Business MBA Program Zeynep Aksin
Announcement-exam rules
PowerPoint presentation to accompany Heizer/Render - Principles of Operations Management, 5e, and Operations Management, 7e © 2004 by Prentice Hall, Inc.,
DO NOT COPY Chapter 10 Capacity Management in service operations.
Chapter 16 Capacity Planning and Queuing Models
OPSM 405 Service Operations Management
Contents Introduction Aggregate planning problem
MINGZHE HAN (CMP TUTOR) COMM 204 Review Session. Outline T ABLE OF C ONTENT (Basic Information) (Process Analysis) (Multiple Types and the Product Process.
Slide 1 Matching Supply with Demand: An Introduction to Operations Management Gérard Cachon ChristianTerwiesch All slides in this file are copyrighted.
Capacity Planning Pertemuan 04
PowerPoint presentation to accompany Chopra and Meindl Supply Chain Management, 5e 1-1 Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
OPSM 301: Operations Management Session 13-14: Queue management Koç University Graduate School of Business MBA Program Zeynep Aksin
Chapter 10 Sales and Operations Planning (Aggregate Planning)
14 – 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall. Operations Planning and Scheduling 14 For Operations Management, 9e by Krajewski/Ritzman/Malhotra.
Unifying Talent Management. Harnessing the Power of Workforce Intelligence in Talent Planning to Drive Business Performance.
McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 18 Management of Waiting Lines.
Lin/Operations/Managing Services1 Capacity Management in Services Module u Queuing processes and performance measures u Why do queues build up? u Performance.
Operations Management
Managing Flow Variability: Safety Capacity
Constraint Management
Effect of Buffer Capacity
Chapter 1 – Basics of Operations Management
Chapter 12 Determining the Optimal Level of Product Availability
Capacity Planning For Products and Services
Capacity Planning For Products and Services
Queuing Models and Capacity Planning
Stevenson 5 Capacity Planning.
Assignment Capacity The recorded solution to the first problem is available at
Balancing Demand and Capacity
Production and Operations Management
Effect of Buffer Capacity
Capacity Planning For Products and Services
Presentation transcript:

OM&PM/Class 7a1 Operations Management & Performance Modeling 1Operations Strategy 2Process Analysis 3Lean Operations 4Supply Chain Management 5Capacity Management in Services –Class 6b: Capacity Analysis and Queuing –Class 7a: Applications »Specialization vs. Flexibility »Analysis of service systems: Sof-Optics 6Total Quality Management 7Business Process Reengineering

OM&PM/Class 7a2 Example 2: MBPF Calling Center limited buffer size  In reality only a limited number of people can be put on hold (this depends on the phone system in place) after which a caller receives busy signal. Assume that at most 5 people can be put on hold. Any caller receiving a busy signal simply calls a competitor resulting in a loss of $100 in revenue. –# of servers c = –buffer size K =  What is the hourly loss because of callers not being able to get through?

OM&PM/Class 7a3 Example 3: MBPF Calling Center Resource Pooling  2 phone numbers –MBPF hires a second CSR who is assigned a new telephone number. Customers are now free to call either of the two numbers. Once they are put on hold customers tend to stay on line since the other may be worse..  1 phone number: pooling –both CSRs share the same telephone number and the customers on hold are in a single queue Servers Queue ServerQueue ServerQueue 50%

OM&PM/Class 7a4 Example 4: MBPF Calling Center Staffing  Assume that the MBPF call center has a total of 6 lines. With all other data as in Example 2, what is the optimal number of CSRs that MBPF should staff the call center with?

OM&PM/Class 7a5 Process Structure & Resource Capabilities: Specialization Vs. Flexibility  Aggregation –single server averaging 10 minutes for service. Poisson arrivals with a mean of 5/hr.  Specialization –Service divided into two segments (one server at each segment), each averaging 5 minutes  Flexibility –Second server added, with each server performing entire service Servers Queue ServerQueueServerQueueServerQueue

OM&PM/Class 7a6 Sof-Optics, Inc. = Managing the operations of a customer service department

OM&PM/Class 7a7 Capacity Management at Sof-Optics Demand (# Calls/30min) Current Supply/Capacity (# Calls/30min) Optimized Supply w/o demand mgt or capital investment

OM&PM/Class 7a8 Call Centers  In U.S.: $10B, > 70,000 centers, > 3M people (>3% of workforce)  Most cost-effective channel to serve customers  Strategic Alignment –accounting: 90% are cost centers, 10% are revenue centers –role: 60% are viewed as cost, 40% as revenue generators –staffing: 60% are generalists, 40% specialists –Trend: more towards profit centers & revenue generators  Trade-off: low cost (service) vs. high revenue (sales) Source: O. Zeynep Aksin 1997

OM&PM/Class 7a9 Levers for Reducing Flow Time  “is to decrease the work content of (only ?) critical activities”,  and/or move it to non critical activities.  Reduce waiting time: –reduce variability »arrivals & service requests »synchronize flows within the process –increase safety capacity »lower utilization »Pooling –Match resource availability with flows in and out of process

OM&PM/Class 7a10 E.g.: Analysis of Service Systems  Divide day into blocks based on arrival rates  For each block evaluate performance measures given current staffing  Quantify financial impact of each action –Workforce training: reduces mean and variability of service time –Work flexibility from workforce: pools available capacity –Time flexibility from workforce: better synchronization –Retain experienced employees: increased safety capacity –Additional workforce: Increases safety capacity –Improved Scheduling: better synchronization –Incentives to affect arrival patterns: better synchronization –Decrease product variety: reduces variability of service time –Increase maximum queue capacity –Consignment program, fax, etc. S D

OM&PM/Class 7a11 Framework for Process Flow Management Competitive? No Flow Chart Process Identify Bottlenecks Maximal Flow Rate Identify Critical Path Minimal Flow Time Demand Pattern Macro Average Performance Process Re-Design Competitive? No Micro Variability Performance Demand & Supply Mgt Continuous Improvement mean variability Yes

OM&PM/Class 7a12 Class 7a Learning objectives  Capacity Management under Uncertainty (variability): –the merits of safety capacity  Demand and Supply Management.

OM&PM/Class 7a13 Automatic Call Distributors A telephone call to a hospital in Southern California triggered this recorded message: “Thank you for calling. All our lines are busy at the moment, your call will be answered in the order in which it was received. Please have your hospital membership card ready. If you wish to schedule an eye appointment, call #.... If you wish to schedule a physical examination, call #.... If you wish to make an appointment with the family practice department, call #.... If this is a life-threatening situation, call #...” Source: Service America by Albretch and Zemke.