Introduction to Management Science 12th Edition Taylor Solutions Manual

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Product Details:

  • ISBN-10 ‏ : ‎ 0133778843
  • ISBN-13 ‏ : ‎ 978-0133778847
  • Author:   Bernard W. Taylor

Using simple, straightforward examples to present complex mathematical concepts,Introduction to Management Science gives students a strong foundation in how to logically approach decision-making problems. Sample problems are used liberally throughout the text to facilitate the learning process and demonstrate different quantitative techniques. Management Science presents modeling techniques that are used extensively in the business world and provides a useful framework for problem-solving that students can apply in the workplace.

The Twelfth Edition focuses on the latest technological advances used by businesses and organizations for solving problems and leverages the latest versions of Excel 2013, Excel QM, TreePlan, Crystal Ball, Microsoft Project 2010, and QM for Windows.

 

Table of Content:

  1. Chapter 1 Management Science
  2. The Management Science Approach to Problem Solving
  3. Observation
  4. Definition of the Problem
  5. Model Construction
  6. Model Solution
  7. Implementation
  8. Management Science and Business Analytics
  9. Model Building: Break-Even Analysis
  10. Components of Break-Even Analysis
  11. Computing the Break-Even Point
  12. Graphical Solution
  13. Sensitivity Analysis
  14. Computer Solution
  15. Excel Spreadsheets
  16. The Excel QM Macro for Spreadsheets
  17. QM for Windows
  18. Management Science Modeling Techniques
  19. Linear Mathematical Programming Techniques
  20. Probabilistic Techniques
  21. Network Techniques
  22. Other Techniques
  23. Business Usage of Management Science Techniques
  24. Management Science Models in Decision Support Systems
  25. Summary
  26. Problems
  27. Case Problem The Clean Clothes Corner Laundry
  28. Case Problem The Ocobee River Rafting Company
  29. Case Problem Constructing a Downtown Parking Lot in Draper
  30. Case Problem A Bus Service For Draper
  31. Chapter 2 Linear Programming: Model Formulation and Graphical Solution
  32. Model Formulation
  33. A Maximization Model Example
  34. Decision Variables
  35. The Objective Function
  36. Model Constraints
  37. Graphical Solutions of Linear Programming Models
  38. Graphical Solution of a Maximization Model
  39. The Optimal Solution Point
  40. The Solution Values
  41. Slack Variables
  42. Summary of the Graphical Solution Steps
  43. A Minimization Model Example
  44. Summary of LP Model Formulation Steps
  45. Decision Variables
  46. The Objective Function
  47. Model Constraints
  48. Graphical Solution of a Minimization Model
  49. Surplus Variables
  50. Irregular Types of Linear Programming Problems
  51. Multiple Optimal Solutions
  52. An Infeasible Problem
  53. An Unbounded Problem
  54. Characteristics of Linear Programming Problems
  55. Properties of Linear Programming Models
  56. Summary
  57. Example Problem Solutions
  58. Problem Statement
  59. Solution
  60. Problem Statement
  61. Solution
  62. Problems
  63. Case Problem Metropolitan Police Patrol
  64. Case Problem “The Possibility” Restaurant
  65. Case Problem Annabelle Invests in the Market
  66. Chapter 3 Linear Programming: Computer Solution and Sensitivity Analysis
  67. Computer Solution
  68. Excel Spreadsheets
  69. QM for Windows
  70. Sensitivity Analysis
  71. Changes in Objective Function Coefficients
  72. Objective Function Coefficient Ranges with the Computer
  73. Changes in Constraint Quantity Values
  74. Constraint Quantity Value Ranges with Excel and QM for Windows
  75. Other Forms of Sensitivity Analysis
  76. Shadow Prices
  77. Summary
  78. Example Problem Solutions
  79. Problem Statement
  80. Solution
  81. Problems
  82. Case Problem Mossaic Tiles, Ltd.
  83. Case Problem “The Possibility” Restaurant—Continued
  84. Case Problem Julia’s Food Booth
  85. Chapter 4 Linear Programming: Modeling Examples
  86. A Product Mix Example
  87. Summary of Linear Programming Model Formulation Steps
  88. Decision Variables
  89. The Objective Function
  90. Model Constraints
  91. Model Summary
  92. Computer Solution with Excel
  93. Computer Solution with QM for Windows
  94. Solution Analysis
  95. Sensitivity Analysis
  96. A Diet Example
  97. Decision Variables
  98. The Objective Function
  99. Model Constraints
  100. Model Summary
  101. Computer Solution with Excel
  102. Solution Analysis
  103. Sensitivity Analysis
  104. An Investment Example
  105. Decision Variables
  106. The Objective Function
  107. Model Constraints
  108. Model Summary
  109. Computer Solution with Excel
  110. Solution Analysis
  111. Sensitivity Analysis
  112. A Marketing Example
  113. Decision Variables
  114. The Objective Function
  115. Model Constraints
  116. Model Summary
  117. Computer Solution with Excel
  118. Solution Analysis
  119. A Transportation Example
  120. Decision Variables
  121. The Objective Function
  122. Model Constraints
  123. Model Summary
  124. Computer Solution with Excel
  125. Solution Analysis
  126. A Blend Example
  127. Decision Variables
  128. The Objective Function
  129. Model Constraints
  130. Model Summary
  131. Computer Solution with Excel
  132. Solution Analysis
  133. Sensitivity Analysis
  134. A Multiperiod Scheduling Example
  135. Decision Variables
  136. The Objective Function
  137. Model Constraints
  138. Model Summary
  139. Computer Solution with Excel
  140. Solution Analysis
  141. Sensitivity Analysis
  142. A Data Envelopment Analysis Example
  143. Decision Variables
  144. The Objective Function
  145. Model Constraints
  146. Model Summary
  147. Computer Solution with Excel
  148. Solution Analysis
  149. Summary
  150. Example Problem Solution
  151. Problem Statement
  152. Solution
  153. Problems
  154. Case Problem Summer Sports Camp at State University
  155. Case Problem Spring Garden Tools
  156. Case Problem Susan Wong’s Personal Budgeting Model
  157. Case Problem Walsh’s Juice Company
  158. Case Problem The King’s Landing Amusement Park
  159. Chapter 5 Integer Programming
  160. Integer Programming Models
  161. A Total Integer Model Example
  162. A 0–1 Integer Model Example
  163. A Mixed Integer Model Example
  164. Integer Programming Graphical Solution
  165. Computer Solution of Integer Programming Problems with Excel and QM for Windows
  166. Solution of the 0–1 Model with Excel
  167. Solution of the 0–1 Model with QM for Windows
  168. Solution of the Total Integer Model with Excel
  169. Solution of the Mixed Integer Model with Excel
  170. Solution of the Mixed Integer Model with QM for Windows
  171. 0–1 Integer Programming Modeling Examples
  172. A Capital Budgeting Example
  173. A Fixed Charge and Facility Location Example
  174. A Set Covering Example
  175. Summary
  176. Example Problem Solution
  177. The Problem Statement
  178. Solution
  179. Problems
  180. Case Problem PM Computer Services
  181. Case Problem The Tennessee Pterodactyls
  182. Case Problem New Offices at Atlantic Management Systems
  183. Case Problem Scheduling Television Advertising Slots at the United Broadcast Network
  184. Case Problem The Draperton Parks and Recreation Department’s Formation of Girls’ Basketball Teams
  185. Case Problem Developing Project Teams for Management 4394
  186. Case Problem Scheduling the Lead Balloon’s Summer Tour
  187. Case Problem Developing Kathleen Taylor’s 401(k) Plan
  188. Case Problem The Baseball Park Tour
  189. Chapter 6 Transportation, Transshipment, and Assignment Problems
  190. The Transportation Model
  191. Computer Solution of a Transportation Problem
  192. Computer Solution with Excel
  193. Computer Solution with Excel QM
  194. QM for Windows Solution
  195. Sensitivity Analysis
  196. The Transshipment Model
  197. Computer Solution with Excel
  198. The Assignment Model
  199. Computer Solution of an Assignment Problem
  200. Computer Solution with Excel
  201. Computer Solution with Excel QM
  202. Computer Solution with QM for Windows
  203. Summary
  204. Example Problem Solution
  205. Problem Statement
  206. Solution
  207. Problems
  208. Case Problem The Department of Management Science and Information Technology at Tech
  209. Case Problem Stateline Shipping and Transport Company
  210. Case Problem Burlingham Textile Company
  211. Case Problem The Graphic Palette
  212. Case Problem Scheduling at Hawk Systems, Inc.
  213. Case Problem Tech’s “Give-Back” Weekend
  214. Case Problem Global Shipping at Erken Apparel International
  215. Case Problem WeeMow Lawn Service
  216. Chapter 7 Network Flow Models
  217. Network Components
  218. The Shortest Route Problem
  219. The Shortest Route Solution Approach
  220. Computer Solution of the Shortest Route Problem with QM for Windows
  221. Computer Solution of the Shortest Route Problem with Excel
  222. The Minimal Spanning Tree Problem
  223. The Minimal Spanning Tree Solution Approach
  224. Computer Solution of the Minimal Spanning Tree Problem with QM for Windows
  225. The Maximal Flow Problem
  226. The Maximal Flow Solution Approach
  227. Computer Solution of the Maximal Flow Problem with QM for Windows
  228. Computer Solution of the Maximal Flow Problem with Excel
  229. Summary
  230. Example Problem Solution
  231. Problem Statement
  232. Solution
  233. Problems
  234. Case Problem The Pearlsburg Rescue Squad
  235. Case Problem Around the World in 80 Days
  236. Case Problem The Battle of the Bulge
  237. Case Problem Nuclear Waste Disposal at PAWV Power and Light
  238. Case Problem A Day in Paris
  239. Case Problem Suntrek Global Container Network Flow
  240. Chapter 8 Project Management
  241. The Elements of Project Management
  242. Project Planning
  243. Project Return
  244. The Project Team
  245. Scope Statement
  246. Work Breakdown Structure
  247. Responsibility Assignment Matrix
  248. Project Scheduling
  249. The Gantt Chart
  250. Project Control
  251. Project Risk
  252. CPM/PERT
  253. AOA Networks
  254. AON Networks
  255. The Critical Path
  256. Activity Scheduling
  257. Activity Slack
  258. Probabilistic Activity Times
  259. Probabilistic Time Estimates
  260. Probability Analysis of the Project Network
  261. CPM/PERT Analysis with QM for Windows and Excel QM
  262. Microsoft Project
  263. Project Crashing and Time–Cost Trade-Off
  264. Project Crashing with QM for Windows
  265. The General Relationship of Time and Cost
  266. Formulating the CPM/PERT Network as a Linear Programming Model
  267. Solution of the CPM/PERT Linear Programming Model with Excel
  268. Project Crashing with Linear Programming
  269. Project Crashing with Excel
  270. Summary
  271. Example Problem Solution
  272. Problem Statement
  273. Problems
  274. Case Problem The Bloodless Coup Concert
  275. Case Problem Moore Housing Contractors
  276. Chapter 9 Multicriteria Decision Making
  277. Goal Programming
  278. Model Formulation
  279. Labor Goal
  280. Profit Goal
  281. Material Goal
  282. Alternative Forms of Goal Constraints
  283. Graphical Interpretation of Goal Programming
  284. Computer Solution of Goal Programming Problems with QM for Windows and Excel
  285. QM for Windows
  286. Excel Spreadsheets
  287. The Analytical Hierarchy Process
  288. Pairwise Comparisons
  289. Developing Preferences Within Criteria
  290. Ranking the Criteria
  291. Developing an Overall Ranking
  292. AHP Consistency
  293. AHP with Excel Spreadsheets
  294. Scoring Models
  295. Scoring Model with Excel Solution
  296. Summary
  297. Example Problem Solutions
  298. Problem Statement
  299. Solution
  300. Problem Statement
  301. Solution
  302. Problems
  303. Case Problem Oakdale County School Busing
  304. Case Problem Catawba Valley Highway Patrol
  305. Case Problem Katherine Miller’s Job Selection
  306. Case Problem Selecting National Baseball Hall of Fame Members
  307. Case Problem Suntrek’s Global Denim Jeans Factory and Distribution Center
  308. Chapter 10 Nonlinear Programming
  309. Nonlinear Profit Analysis
  310. Constrained Optimization
  311. Solution of Nonlinear Programming Problems with Excel
  312. A Nonlinear Programming Model with Multiple Constraints
  313. Nonlinear Model Examples
  314. Facility Location
  315. Investment Portfolio Selection
  316. Summary
  317. Example Problem Solution
  318. Problem Statement
  319. Solution
  320. Problems
  321. Case Problem Admissions at State University
  322. Case Problem Selecting a European Distribution Center Site for American International Automotive Industries
  323. Chapter 11 Probability and Statistics
  324. Types of Probability
  325. Objective Probability
  326. Subjective Probability
  327. Fundamentals of Probability
  328. Statistical Independence and Dependence
  329. Independent Events
  330. Probability Trees
  331. The Binomial Distribution
  332. Dependent Events
  333. Bayesian Analysis
  334. Expected Value
  335. The Normal Distribution
  336. Sample Mean and Variance
  337. The Chi-Square Test for Normality
  338. Statistical Analysis with Excel
  339. Summary
  340. Example Problem Solution
  341. Problem Statement
  342. Solution
  343. Problems
  344. Case Problem Valley Swim Club
  345. Chapter 12 Decision Analysis
  346. Components of Decision Making
  347. Decision Making Without Probabilities
  348. Decision-Making Criteria
  349. The Maximax Criterion
  350. The Maximin Criterion
  351. The Minimax Regret Criterion
  352. The Hurwicz Criterion
  353. The Equal Likelihood Criterion
  354. Summary of Criteria Results
  355. Solution of Decision-Making Problems Without Probabilities with QM for Windows
  356. Solution of Decision-Making Problems Without Probabilities with Excel
  357. Decision Making with Probabilities
  358. Expected Value
  359. Expected Opportunity Loss
  360. Solution of Expected Value Problems with QM for Windows
  361. Solution of Expected Value Problems with Excel and Excel QM
  362. Expected Value of Perfect Information
  363. Decision Trees
  364. Decision Trees with Excel QM
  365. Decision Trees with Excel and TreePlan (http://www.treeplan.com)
  366. Sequential Decision Trees
  367. Sequential Decision Tree Analysis with Excel QM
  368. Sequential Decision Tree Analysis with Excel and TreePlan
  369. Decision Analysis with Additional Information
  370. Decision Trees with Posterior Probabilities
  371. Computing Posterior Probabilities with Tables
  372. Computing Posterior Probabilities with Excel
  373. The Expected Value of Sample Information
  374. Utility
  375. Summary
  376. Example Problem Solutions
  377. Problem Statement
  378. Solution
  379. Problems
  380. Case Problem Steeley Associates versus Concord Falls
  381. Case Problem Transformer Replacement at Mountain States Electric Service
  382. Case Problem The Carolina Cougars
  383. Case Problem Evaluating R&D Projects at WestCom Systems Products Company
  384. Chapter 13 Queuing Analysis
  385. Elements of Waiting Line Analysis
  386. The Single-Server Waiting Line System
  387. The Queue Discipline
  388. The Calling Population
  389. The Arrival Rate
  390. The Service Rate
  391. The Single-Server Model
  392. The Effect of Operating Characteristics on Managerial Decisions
  393. Alternative I: The Addition of an Employee
  394. Alternative II: The Addition of a New Checkout Counter
  395. Computer Solution of the Single-Server Model with Excel and Excel QM
  396. Computer Solution of the Single-Server Model with QM for Windows
  397. Undefined and Constant Service Times
  398. Computer Solution of the Constant Service Time Model with Excel
  399. Computer Solution of the Undefined and Constant Service Time Models with QM for Windows
  400. Finite Queue Length
  401. Computer Solution of the Finite Queue Model with Excel
  402. Computer Solution of the Finite Queue Model with QM for Windows
  403. Finite Calling Population
  404. Computer Solution of the Finite Calling Population Model with Excel and Excel QM
  405. Computer Solution of the Finite Calling Population Model with QM for Windows
  406. The Multiple-Server Waiting Line
  407. Computer Solution of the Multiple-Server Model with Excel and Excel QM
  408. Computer Solution of the Multiple-Server Model with QM for Windows
  409. Additional Types of Queuing Systems
  410. Summary
  411. Example Problem Solutions
  412. Problem Statement
  413. Solution
  414. Problems
  415. Case Problem The College of Business Copy Center
  416. Case Problem Northwoods Backpackers
  417. Case Problem Analyzing Disaster Situations at Tech
  418. Case Problem Forecasting Airport Passenger Arrivals—Continued
  419. Chapter 14 Simulation
  420. The Monte Carlo Process
  421. The Use of Random Numbers
  422. Computer Simulation with Excel Spreadsheets
  423. Decision Making with Simulation
  424. Simulation of a Queuing System
  425. Computer Simulation of the Queuing Example with Excel
  426. Continuous Probability Distributions
  427. Simulation of a Machine Breakdown and Maintenance System
  428. Computer Simulation of the Machine Breakdown Example Using Excel
  429. Statistical Analysis of Simulation Results
  430. Crystal Ball
  431. Simulation of a Profit Analysis Model
  432. Verification of the Simulation Model
  433. Areas of Simulation Application
  434. Queuing
  435. Inventory Control
  436. Production and Manufacturing
  437. Finance
  438. Marketing
  439. Public Service Operations
  440. Environmental and Resource Analysis
  441. Summary
  442. Example Problem Solutions
  443. Problem Statement
  444. Solution
  445. Problems
  446. Case Problem JET Copies
  447. Case Problem Benefit–Cost Analysis of The Spradlin Bluff River Project
  448. Case Problem Disaster Planning at Tech
  449. Chapter 15 Forecasting
  450. Forecasting Components
  451. Forecasting Methods
  452. Time Series Methods
  453. Moving Average
  454. Weighted Moving Average
  455. Exponential Smoothing
  456. Adjusted Exponential Smoothing
  457. Linear Trend Line
  458. Seasonal Adjustments
  459. Forecast Accuracy
  460. Mean Absolute Deviation
  461. Cumulative Error
  462. Time Series Forecasting Using Excel
  463. Computing the Exponential Smoothing Forecast with Excel QM
  464. Time Series Forecasting Using QM for Windows
  465. Regression Methods
  466. Linear Regression
  467. Correlation
  468. Regression Analysis with Excel
  469. Regression Analysis with QM for Windows
  470. Multiple Regression with Excel
  471. Data Mining
  472. Summary
  473. Example Problem Solutions
  474. Problem Statement
  475. Solution
  476. Problem Statement
  477. Solution
  478. Problems
  479. Case Problem Forecasting at State University
  480. Case Problem The University Bookstore Student Computer Purchase Program
  481. Case Problem Valley Swim Club
  482. Case Problem Forecasting Airport Passenger Arrivals
  483. Chapter 16 Inventory Management
  484. Elements of Inventory Management
  485. The Role of Inventory
  486. Demand
  487. Inventory Costs
  488. Inventory Control Systems
  489. Continuous Inventory Systems
  490. Periodic Inventory Systems
  491. Economic Order Quantity Models
  492. The Basic EOQ Model
  493. Carrying Cost
  494. Ordering Cost
  495. Total Inventory Cost
  496. EOQ Analysis over Time
  497. The EOQ Model with Noninstantaneous Receipt
  498. The EOQ Model with Shortages
  499. EOQ Analysis with QM for Windows
  500. EOQ Analysis with Excel and Excel QM
  501. Quantity Discounts
  502. Quantity Discounts with Constant Carrying Costs
  503. Quantity Discounts with Constant Carrying Costs as a Percentage of Price
  504. Quantity Discount Model Solution with QM for Windows
  505. Quantity Discount Model Solution with Excel
  506. Reorder Point
  507. Safety Stocks
  508. Determining Safety Stock by Using Service Levels
  509. Reorder Point with Variable Demand
  510. Determining the Reorder Point Using Excel
  511. Reorder Point with Variable Lead Time
  512. Reorder Point with Variable Demand and Lead Time
  513. Order Quantity for a Periodic Inventory System
  514. Order Quantity with Variable Demand
  515. Determining the Order Quantity for the Fixed-Period Model with Excel
  516. Summary
  517. Example Problem Solution
  518. Problem Statement
  519. Solution
  520. Problem Statement
  521. Solution
  522. Problems
  523. Case Problem The Northwoods General Store
  524. Case Problem The Texans Stadium Store
  525. Case Problem The A-to-Z Office Supply Company
  526. Case Problem Diamant Foods Company
  527. Appendix A Normal and Chi-Square Tables
  528. Appendix B Setting Up and Editing a Spreadsheet
  529. Titles and Headings
  530. Borders
  531. Column Centering
  532. Deleting and Inserting Rows and Columns
  533. Decimal Places
  534. Increasing or Decreasing the Spreadsheet Area
  535. Expanding or Reducing Column and Row Widths
  536. Inserting an Equation or a Formula into a Cell
  537. Printing a Spreadsheet
  538. Appendix C The Poisson and Exponential Distributions
  539. The Poisson Distribution
  540. The Exponential Distribution
  541. Solutions to Selected Odd-Numbered Problems
  542. Glossary
  543. Index
  544. A
  545. B
  546. C
  547. D
  548. E
  549. F
  550. G
  551. H
  552. I
  553. J
  554. K
  555. L
  556. M
  557. N
  558. O
  559. P
  560. Q
  561. R
  562. S
  563. T
  564. U
  565. V
  566. W
  567. Z

 

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