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© 2007 Pearson Education Constraint Management Chapter 7
© 2007 Pearson Education Output and Capacity What is a Constraint? Any factor that limits system performance and restricts its output. Capacity is the maximum rate of output of a process or system. A Bottleneck An output constraint that limits a company’s ability to meet market demand. Also called Capacity Constraint Resource or CCR
© 2007 Pearson Education Theory of Constraints (TOC) Short-Term Capacity Planning Theory of Constraints Identification and management of bottlenecks Product Mix Decisions using bottlenecks Long-term Capacity Planning Economies and Diseconomies of Scale Capacity Timing and Sizing Strategies Systematic Approach to Capacity Decisions Constraint Management A systematic approach that focuses on actively managing constraints that are impeding progress.
© 2007 Pearson Education Measures of Capacity Output Measures: for example, the number of cars produced per day Input Measures: such as number of workstations or number of workers Utilization: the degree to which equipment, space, or the workforce is currently being used.
© 2007 Pearson Education Performance Measures in TOC Inventory (I) Throughput (T) Operating Expense (OE) Utilization (U)
© 2007 Pearson Education 7 Key Principles of TOC 1.The focus is on balancing flow, not on balancing capacity. 2.Maximizing output and efficiency of every resource will not maximize the throughput of the entire system. 3.An hour lost at a bottleneck or constrained resource is an hour lost for the whole system. An hour saved at a non-constrained resource does not necessarily make the whole system more productive.
© 2007 Pearson Education 7 Key Principles of TOC 4.Inventory is needed only in front of the bottlenecks to prevent them from sitting idle, and in front of assembly and shipping points to protect customer schedules. Building inventories elsewhere should be avoided. 5.Work should be released into the system only as frequently as the bottlenecks need it. Bottleneck flows should be equal to the market demand. Pacing everything to the slowest resource minimizes inventory and operating expenses.
© 2007 Pearson Education 7 Key Principles of TOC 6.Activation of non-bottleneck resources cannot increase throughput, nor promote better performance on financial measures. 7.Every capital investment must be viewed from the perspective of its global impact on overall throughput (T), inventory (I), and operating expense (OE).
© 2007 Pearson Education Application of TOC 1.Identify The System Bottleneck(s). 2.Exploit The Bottleneck(s): create schedules that maximize the throughput of the bottleneck(s). 3.Subordinate All Other Decisions to Step 2: non- bottleneck resources should be scheduled to support the schedule of the bottleneck and not produce more than it can handle 4.Elevate The Bottleneck(s): increase its capacity 5.Do Not Let Inertia Set In: if the system constraint shift, the whole process must be repeated.
© 2007 Pearson Education Identification and Management of Bottlenecks A Bottleneck is the process or step which has the lowest capacity and longest throughput. Throughput Time is the total time from the start to the finish of a process. Bottlenecks can be internal or external to a firm.
© 2007 Pearson Education Setup Time If multiple services or products are involved, extra time usually is needed to change over from one service or product to the next. This increases the workload and could be a bottleneck. Setup Time Setup Time is the time required to change a process or an operation from making one service or product to making another.
© 2007 Pearson Education Where is the Bottleneck? Example 7.1 It takes 10 + 20 + max (15, 12) + 5 + 10 = 60 minutes to complete a loan application. Unless more resources are added at step B, the bank will be able to complete only 3 loan accounts per hour, or 15 new load accounts in a five-hour day. 1. Check loan documents and put them in order (10 minutes) 2. Categorize loans (20 minutes) 3. Check for credit rating (15 minutes) 6. Complete paperwork for new loan (10 minutes) 4. Enter loan application data into the system (12 minutes) Customer 5. Is loan approved? (5 min) Yes No Bottleneck
© 2007 Pearson Education Long-Term Capacity Planning Short-Term Capacity Planning Theory of Constraints Identification and management of bottlenecks Product Mix Decisions using bottlenecks Long-term Capacity Planning Economies and Diseconomies of Scale Capacity Timing and Sizing Strategies Systematic Approach to Capacity Decisions Constraint Management
© 2007 Pearson Education Long-Term Capacity Planning Deals with investment in new facilities and equipment. Plans cover a minimum of two years into the future. Economies of scale: a concept that states that the average unit cost of a service or good can be reduced by increasing its output rate.
© 2007 Pearson Education Economies of scale Economies of scale are sought in order to reduce costs through Lower fixed costs per unit Quantity discounts in purchasing materials Reduced construction costs Process advantages
© 2007 Pearson Education Economies of Scale Economies of scale occur when the average unit cost of a service or good can be reduced by increasing its output rate. Diseconomies of scale occur when the average cost per unit increases as the facility’s size increases 250-bed hospital 500-bed hospital 750-bed hospital Economies of scale Diseconomies of scale Output rate (patients per week) Average unit cost (dollars per patient)
© 2007 Pearson Education Capacity Timing and Sizing Strategies 1.Sizing Capacity Cushions 2.Timing and Sizing Expansions 3.Linking Process Capacity and other operating decisions.
© 2007 Pearson Education Capacity Cushions reserve capacity a firm has available. A capacity cushion is the amount reserve capacity a firm has available. Capacity Cushion = 100% − Utilization Rate (%) How much capacity cushion depends on The uncertainty and/or variability of demandThe uncertainty and/or variability of demand The cost of lost businessThe cost of lost business The cost of idle capacityThe cost of idle capacity
© 2007 Pearson Education Capacity Expansion Expansionist Strategy Planned unused capacity Time Capacity Forecast of capacity required Time between increments Capacity increment Staying ahead of demand
© 2007 Pearson Education Capacity Expansion Wait-and-See Strategy Time Capacity Forecast of capacity required Planned use of short-term options Time between increments Capacity Increment Chasing demand
© 2007 Pearson Education Expansionist strategy Minimizes the chance of sales lost to insufficient capacity. Can result in economies of scale and a faster rate in learning Might increase the firm’s market share
© 2007 Pearson Education Wait-and-see strategy Lags behind demand To meet any shortfalls, it relies on short- term options: Overtime Temporary workers Subcontractors Stockouts postponement of preventive maintenance on equipment
© 2007 Pearson Education Wait-and-see strategy Uses smaller increments, such as by renovating existing facilities rather than building new one Reduces the risks of overexpansion Unable to respond if demand is unexpectedly high. An intermediate strategy could be to follow the leader
© 2007 Pearson Education A Systematic Approach To Long-Term Capacity Decisions 1.Estimate future capacity requirements. 2.Identify gaps by comparing requirements with available capacity. 3.Develop alternative plans for filling the gaps. 4.Evaluate each alternative and make a final choice.
© 2007 Pearson Education Capacity Requirement is determined over some future period based on demand and desired capacity cushion. Planning Horizon is a set of consecutive future time periods for planning purposes. Step 1: Estimating Capacity Requirements
© 2007 Pearson Education 1) Using Output Measures for Estimating Capacity Requirements Output Measures are the simplest way to express capacity. Products produced or customers served per unit of time Example: Current capacity is 50 per day and demand is expected to double in five years. Management uses a capacity cushion of 20%. Capacity (M) in 5 years should be: M = 100/(1 - 0.2) = 125 customers
© 2007 Pearson Education 2) Using Input Measures for Estimating Capacity Requirements Input Measures are typically based on resource availability. –Availability of workers, machines, workstations, seats, etc. Capacity Requirement = Processing and setup hours required for year’s demand, summed over all services and products Hours available from a single capacity unit per year, after deducting desired cushion M =M =M =M = [Dp+(D/Q)s] product1+ [Dp+(D/Q)s] product2+ …+ [Dp+(D/Q)s] product n N[1 – (C/100)] D=demand forecast for the year p=processing time N=total number of hours per year during which the process operates C=desired capacity cushion, expressed as a percentage
© 2007 Pearson Education Surefoot Sandal Company Application 7.4 Put together a capacity plan for a critical bottleneck operation at the Surefoot Sandal Company. Capacity is measured as number of machines. Three products (men’s, women’s, & children’s sandals) are manufactured. The time standards, lot sizes, and demand forecasts are given below. There are two 8-hour shifts operating 5 days per week, 50 weeks per year. Experience shows that a capacity cushion of 5 percent is sufficient. a. How many machines are needed? b. If the operation currently has two machines, what is the capacity gap?
© 2007 Pearson Education Surefoot Sandal Company Application 7.4 Solution
© 2007 Pearson Education Surefoot Sandal Company Application 7.4 Solution
© 2007 Pearson Education Identifying Gaps and Developing Alternatives A Capacity Gap is any difference, positive or negative, between forecast demand and current capacity. Alternatives can be anything from doing nothing (Base Case), and various timing and sizing options (including the expansionist and wait-and-see strategies) Evaluation of each alternative is important.
© 2007 Pearson Education Constraint Management Chapter 7.
7 – 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall. Constraint Management (Short-term Capacity Planning) 7.
1/44 Constraint Management. 2/44 How Constraint Management fits the Operations Management Philosophy Operations As a Competitive Weapon Operations Strategy.
7 – 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall. Constraint Management 7 For Operations Management, 9e by Krajewski/Ritzman/Malhotra.
Capacity is the ability of a process or system to hold, receive, store or accommodate. In business terms, it is the amount of output that a system.
CHAPTER 8 CAPACITY. THE CONCEPT Maximum rate of output for a process Inadequate capacity can lose customers and limit growth while excess capacity can.
C A P A C I T Y Dr. Dewi Nusraningrum, M.Si. CAPACITY PLANNING - Capacity is the maximum rate of output for a facility. - Capacity planning is central.
6 – 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall. Capacity Planning (Long-Term Capacity Planning) 6.
KR: Chapter 8 Capacity. Chapter Outline Introduction Measures of capacity Capacity unit Peak capacity vs. effective capacity Bottleneck Economies of scale.
Constraint Management Students should be able to: 1.Assess the capacity of a process 2.Define the Theory of Constraints and explain how to use it. 3.Identify.
To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Process.
MD707 Operations Management Professor Joy Field
6 – 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall. Capacity Planning 6 For Operations Management, 9e by Krajewski/Ritzman/Malhotra.
6 – 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall. Capacity Planning Chapter 6.
McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. 1.
CAPACITY LOAD OUTPUT.
© The McGraw-Hill Companies, Inc., Chapter 17 Synchronous Manufacturing and the Theory of Constraints.
To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Sixth Edition © 2002 Prentice Hall, Inc. All rights reserved. Chapter 8.
1 Theory of Constraints Short-term Capacity Optimization.
23–1. 23–2 Chapter Twenty-Three Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
To Accompany Ritzman & Krajewski, Foundations of Operations Management © 2003 Prentice-Hall, Inc. All rights reserved. Chapter 6 Capacity.
Operations Management For Competitive Advantage 1 Synchronous Manufacturing and Theory of Constraints Operations Management For Competitive Advantage Chapter.
Capacity After deciding what products/services should be offered and how they should be made, management must plan the capacity of its processes. Capacity.
Capacity Planning Manufacturing : Inventory can be used to cushion fluctuations in demand More focused on machinery as a constraint than people Services.
TOC 1 Theory Of Constraints. TOC 2 Theory of Constraints How does TOC differ from the conventional shop control theory? Throughput definition * Emphasis.
Capacity Planning Capacity Planning Pertemuan 04 Mata kuliah: J Manajemen Operasional Tahun: 2010.
© The McGraw-Hill Companies, Inc., Synchronous Manufacturing and Theory of Constraints.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 5 Capacity Planning For Products and Services.
For Products and Services
PRODUCTION AND OPERATIONS MANAGEMENT
Chapter 18 Synchronous Manufacturing and the Theory of Constraints
Operations Management Capacity Planning Supplement 7
Capacity Planning. Capacity Capacity (I): is the upper limit on the load that an operating unit can handle. Capacity (I): is the upper limit on the load.
Constraint Management Chapter 7 Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall
OM Capacity Management 10 COLLIER/EVANS 5 Copyright ©2016 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to.
4-1 McGraw-Hill/Irwin Operations Strategy Copyright © 2008 The McGraw-Hill Companies, Inc. All rights reserved. Capacity Strategy Chapter 4.
Capacity Planning For Products and Services
20-1 Inventory Management: Economic Order Quantity, JIT, and the Theory of Constraints 20.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 16 Scheduling.
Theory of constraints Slovak University of Technology Faculty of Material Science and Technology in Trnava.
5-1Capacity Planning William J. Stevenson Operations Management 8 th edition.
Operations Planning Horizons
Short-term Capacity Optimization
© 2004 by Prentice Hall, Inc., Upper Saddle River, N.J S 7-1 Operations Management Capacity Planning Supplement 7.
© 2012 Pearson Prentice Hall. All rights reserved. Balanced Scorecard: Quality, Time, and the Theory of Constraints.
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