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Operations and Supply Chain Management The Core

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SUBJECT INDEX 513

Linear programming (LP)

definition, 481

introduction, 481–482

model, 482–483

transportation method, 461–464

using Microsoft Excel, 462–464,

486–490

Linear regression forecasting, 57–60

Line structures, 217–219

Little’s law, 171–172

Location decisions. see Facility location

decisions

Lockheed Martin, 170

Logistics

decisions related to, 456–458

definition, 436

facilities, 458–468

green sourcing, 438–441

international, 456

lean, 402

outsourcing, 436

overview, 455–456

third-party companies, 456

transportation modes, 457–458

warehouse design, 458

Long-range planning, 241

Lot-for-lot, 279

Lot sizing, 281–285, 331

Lot tolerance percent defective (LTPD),

330

Low degree of customer contact, 204

Lower process control limit (LCL), 321

LP. See Linear programming (LP)

LTC (least total cost), 283

LTPD (lot tolerance percent defective),

330

LUC (least unit cost), 283–284

M

MAD (mean absolute deviation), 65–67

Make-to-order, 169, 170, 268e

Make-to-stock, 168–169, 268e,

350–351, 351e

Making, 6

Malcolm Baldrige National Quality

Award, 300

Management, learning curves usage by,

121

Manufacturing cell, 173, 176–177

Manufacturing inventory, 352

Manufacturing processes

analytics exercise, 195–197

assembly-line design, 178–183

break-even analysis, 198–199

classification of production processes,

204

lean concepts in, 400–402

linear programming applications for, 481

production processes, 167–170 (see

also Production processes)

Manufacturing strategy, 16–17

MAPE (mean absolute percent error), 66

Market research, 70

Marks and Spencer, 307

Mass customization, 17

Master production schedule (MPS), 268–

269, 276

Material handling, 482

Material management, 266

Material requirements planning (MRP)

analytics exercise, 296–297

bill-of-materials, 271–273, 276–277

calculations, 274–275, 277–281

definition and introduction, 267

explosion process, 275

inventory records, 273–274, 277

lot sizes, 281–285

master production scheduling,

268–269, 276

project demand, 270–271, 275–276

system structure, 270–275

time fences, 269–270

usage, 267–268, 268e

Matrix project, 129–130

McDonald’s, 383, 413, 414, 450, 460

McKinsey, 307

Mean absolute deviation (MAD), 65–67

Mean absolute percent error (MAPE), 66

Mean squared error, 65

Measurement of error, 64–65

Michigan State University, 392–393, 394e

Microsoft, 31, 150, 486

Microsoft Excel

cumulative standard normal

distribution, 508

linear programming methodology,

486–503

negative exponential distribution, 507

present value table, 506

waiting line models, 219, 225e–227e

Miller Brewing Company, 413

Minimum-cost scheduling, 145–149

Mitsukoshi Department Store, 376

Mixed strategy, 245

M&M Mars, 96

Modular bill-of-materials, 273

Motorola, 315–316, 321, 432

Moving average, 50–52

MPS (master production schedule), 268–

269, 276

MRP. See Material requirements planning

(MRP)

Multifactor productivity measure, 35

Multiperiod inventory systems, 359–360

Multiple lines, 217

Multiple regression analysis, 69

Multiplicative seasonal variation, 61

N

National Institute of Standards and

Technology, 17, 300

NEC, 437

Net change systems, 275

Netflix, 207

Net requirements, 275, 279

New Ark Hotel, 127

New York Stock Exchange, 215

Nissan, 96

Nonlinear programming, 482

Northwestern University, 394e

NTN Driveshafts, 458

O

Office Depot, 31

Ohio State University, 392–393, 394e

Operating characteristic (OC) curves,

331–332

Operations and supply chain

management (OSCM)

analytics exercise, 23

careers in, 14–16

definition and overview, 4–9

efficiency, effectiveness, and value,

10–13

ERP systems and, 266

forecasting in, 46–47

historical development of, 16–18

introduction, 2–3

Operations and supply chain strategy

activities, 32

case study, 42–43

competitive dimensions of, 28–30

definition and overview, 27–31

order winners and qualifiers, 31

productivity measurement and, 34–37

risk management and, 33–34

sustainability and, 25–27

trade-offs in, 30–31

Operations effectiveness, 27

Operations planning. See Sales and

operations planning

Opportunity flow diagrams, 309, 311e

Optimal order quantity, 361–363

Oracle, 150

Ordering costs, 353

Order qualifiers, 31

Order winners, 31

Organizational learning, 114

OSCM. See Operations and supply chain

management (OSCM)

Outsourcing, 99, 435–441

Ownership costs, 441–443

P

Panel consensus, 70

Pareto charts, 309, 310e

Pareto principle, 373–374

Partial productivity measure, 35

Patient arrival, 216

Payables period, 11

P-charts, 321–323

Peg record, 274

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