SAILS OPTIMIZATION SOFTWARE 3

Transcription

1 Index accounting and model baselines accounting approach to facility data preparation 7-45 accounting baseline defined aggregate volume totals 6-6 aggregation of vendors 4-54 aggregation codes customizing customer codes 6-47 aggregation strategy for finished products 4-32 for intermediate products 4-39 for raw materials 4-41 Alaska, Hawaii, and Puerto Rico nodal point lists for 4-18 alternative facility sizes in ODS 7-37 in OPTIMA 7-39 arcs basic concepts 2-7 cost 2-7 automatic link generation in scenario generation average transportation costs 8-7 baseline/solver consistency and cost/flow baseline 11-6 bounds and solution tolerance in model bundling strategy 4-57 bureau/tariff scaling 8-23 business logistics 1-5 Canadian customer regions 4-17 candidate locations for DCs 4-22 capacity data preparation 7-48 capacity limits elastic vs. inelastic 7-16 violation of and economies of scale 7-37 capacity limits and facility data 7-6 capacity usage factors and facility data 7-8 capacity violation penalties and facility data 7-9 classical inventory theory limitations 13-2 clustering DC locations 4-23 plant locations 4-28 vendors 4-55 CMFC 8-4 combination procedure for link generation commodities distinctions in freight costs 8-45 commodity assignment to freight cost categories in scenario generation commodity aggregation data 6-40 commodity conversion factors and facility data 7-10 types 7-11 commodity flows in ODS baseline 11-8 in the network ODS 7-26 in the network OPTIMA 7-22 OPTIMA baseline requirements and cost/flow baseline 11-7 commodity-specific rates and freight rate preparation 8-36 composite freight rate table 8-27 compressed solution file and solvers conservation of flow consolidated shipment rating in SHIPCONS 9-30 CONUS 8-4 CONUS DC locations 4-21 conversion coefficients and raw materials modeling 4-42 corporate silos 1-5 cost accounting discrepancies 7-43 cost and/or capacity (facility) data 7-1 cost/capacity values 3-17 cost/flow baseline (validation) analysis 6-6 accounting and model baselines and output reports and files and solver consistency 11-6 commodity flow requirements 11-7 commodity flows in ODS 11-8 commodity flows in OPTIMA data requirements flow balance 11-7 graphics package input file introduction 1-25 machine-readable solution files model validation modeling 3-19 ODS model procedure OPTIMA model procedure outbound transaction file 11-6 preparation summary theory 11-2 written reports Cost/flow Baseline chapter 11-1

2 2 INDEX costs and capacities examples 7-12 County Code 6-14 cross-reference table description 6-19 using to aggregate data 6-21 cube 5-11 Customer Account number 6-14 Customer Aggregation Code 6-14 customer assignment decision variables 12-8 customer class action plan 4-45 code recoding/aggregation data 6-48 table example 6-51 field 6-14 defined 4-43 modeling considerations 4-44 customer definition scenarios 4-10 customer demand analysis and solvers and outbound flow in ODS baseline module 11-8 and outbound flows in OPTIMA data in modeling 3-15 data preparation summary data, supplying values 3-15 table from outbound transaction file 6-36 table, dimensions of 3-9 Customer Demand Data chapter 5-1 customer pickup volume 4-47 customer region defined 4-9 definition, action plan 4-16 definition, appropriate detail level 4-15 definition, modeling considerations 4-10 introduction of nodes 2-13 customer service restrictions in scenario generation in SHIPCONS 9-27 customer sole sourcing in scenario generation data aggregation 6-21 data preparation of customer class data 4-46 data recoding defined 6-19 data recording in SHIPCONS 9-34 data requirements and cost/flow baseline data scaling in scenario generation data scaling examples data table grid weighted average freight cost 8-38 database scope defining 14-9 database scope in issue definition 3-13 DC activity and network commodity flow in ODS 7-28 in OPTIMA 7-26 capacities and facility data preparation 7-50 defining a 4-20 definition, action plan 4-21 definition, modeling considerations 4-20 locations, choosing 4-20 missions 7-51 overview of distribution centers 4-20 stockage patterns 4-57 throughput limits 7-50 transfer arc 2-14 transfer link generation, in scenario generation transfer transaction file 3-16 transfer, historical flow table 6-35 decision variable constraints deficit weight 9-26 defining database scope 14-9 defining facility scope 14-8 defining logistics scope 14-4 defining the issues and scope of the project 14-4 demand introducing new products 10-8 measuring 5-11 satisfaction in scenario generation demand data preparation 5-3 preparation methods, combining 5-4 setting objectives 5-3 preparation summary demand-driven model 3-5 describing the network Destination Code 6-10 destination nodes basic concept 2-7 in ODS 2-14 in OPTIMA 2-17 detail appropriate to the model 3-5 determining flows in the optimal solution 8-1 direct shipments pricing option 9-19 discrepancies in cost accounting 7-43 in reporting 7-43 discrete customers 4-9 distance-based freight cost equations 8-14 distribution centers defined (See DC, above) 4-20 distribution centers (DC) 2-13 Document number 6-10, 6-14 downstream product 4-42 echelons see network echelons 4-48

3 SAILS OPTIMIZATION SOFTWARE 3 economies of scale and DC definition 4-24 and solver performance cautions 7-41 defined 7-32 modeling techniques 7-36 EEC 8-25 elastic capacity limits defined 7-7 example 7-14 enabling flows in the optimal solution 8-1 engineering approach to facility data preparation 7-46 equation method examples for preparing freight costs 8-15 equation preparation of cost information 3-18 equation preparation of weighted average freight costs 8-12 equation-based projections and inventory level estimation 13-4 equation-generated freight rates, supplemental 8-26 estimating inventory holding costs 13-6 estimating inventory levels 13-4 European customer regions 4-17 European Economic Community 8-25 exclusion options in scenario generation existing facility location analysis and solvers capacities included explicit modeling 3-7 explicit versus implicit representation in ODS and OPTIMA 4-5 examples 7-29 export volume 4-19 Extended Cube 6-11, 15 Extended Inventory Value 6-11, 15 Extended Sales Value 6-11, 16 Extended Weight 6-10, 15 external demand table building vs. transaction files preparation facility capacity estimates preparation 7-48 facility capacity limits recommendations facility clusters and DC location selection 4-23 and plant location selection 4-28 facility cost data preparation 7-44 facility data categories in ODS and OPTIMA 7-20 in modeling 3-17 in ODS 7-26 in OPTIMA 7-22 in SAILS 7-1 in scenario generation preparation obstacles 7-42 preparation summary preparation, accounting approach 7-45 preparation, engineering approach 7-46 preparation, statistical approach 7-46 types of 7-4 Facility Data chapter 7-1 facility eligibility in scenario generation facility flow variables 12-6 facility missions noncomparable 7-44 facility recoding/aggregation data 6-42 facility scope defining 14-6 in issue definition 3-13 facility sizes alternatives in ODS 7-37 alternatives in OPTIMA 7-39 feasibility checks in scenario generation field descriptions for transaction files 6-10 finished product action plan 4-35 defined 4-32 manufacturing & network commodity flow in ODS 7-28 in OPTIMA 7-25 modeling considerations 4-32 networks in OPTIMA 2-17 production lines and commodity flow 7-25 production requirements in baseline, in ODS production requirements in baseline, in OPTIMA production allocation finished products first cuts 4-32 fixed costs and facility data 7-4 flow balance and cost/flow baseline 11-7 flow balance constraint 2-9 forecasting algorithms 13-2 freight classes table of valid 8-23 freight cost commodity specific 8-36 composite rate table 8-27 databases standard in SAILS 8-18 multiple preparation methods 8-34 selection options 8-35 examples in scenario generation in scenario generation process explained 8-38

4 4 INDEX process in scenario generation freight cost source in scenario generation full transaction file demand data preparation 5-4 gaps and solution tolerance in model generating scenarios summary geographic aggregation scheme 4-10 geographic distribution of demand 4-9 geographic spread and demand data selection 10-9 demand data preparation 5-4 globally replace 3-9 graphics package input file and cost/flow baseline and solvers high-volume lanes for active transportation links 8-46 historical base time period establishing 5-10 historical flow allocation table 1-25, 11-9, 11-13, 6-33 identification number in SAILS 3-11 implicit modeling defined 3-7 procedure, ODS and OPTIMA 7-30 implicit representation of raw materials and intermediate products in network echelons 4-51 in the solver 7-29 inbound 2-14 inbound historical flow table 6-34 inbound link generation in scenario generation inbound transaction file defined 3-16 described 6-12 inbound transportation flows and network commodity flow 7-24 inbound, replenishment, and DC transfer files processing logic 6-24 inbound, replenishment, and DC transfer SAILS transaction file layouts 6-10 inelastic capacity limits example 7-13 inter-warehouse transfer links 4-50 intermediate product action plan 4-39 defined 4-38 flow allocation modeling considerations 4-39 networks in OPTIMA 2-17 production production lines and commodity flow 7-25 requirements computation intermediate product/finished product conversions and commodity flow 7-25 international manufacturing and plant locations 4-29 interplant transfer arcs 2-14 interplant transfer link generation in scenario generation interwarehouse transfer flows and network commodity flow 7-26 inventory cost data preparation 7-51 inventory holding costs estimating 13-6 inventory level estimation equation-based projections 13-4 turn rate-based projections 13-4 inventory theory limitations 13-2 limitations 7-52 issue definition project management summary 14-4 issue definition in modeling 3-12 joint constraints and facility data 7-7 Julian Date 6-10, 15 LaLonde, Dr. Bernard J. 1-5 large shipment bypass option in SHIPCONS 9-13 linear cost functions and economies of scale 7-32 linear programming model objectives 12-5 linehaul multistop shipment option 9-31 rate types 9-20 rating module 9-20 rating procedure 9-22 shipment in SHIPCONS 9-20 link generation logic in scenario generation procedure in scenario generation user-specified link selection in scenario generation links action plan for transportation 8-45 lock closed 3-9 lock open 3-9 logistics 1-5 logistics scope defining 14-4 in issue definition 3-12 low-volume lanes for transportation links 8-48 lower bound 2-7 LTL 8-4 machine-readable solution files

5 SAILS OPTIMIZATION SOFTWARE 5 and cost/flow baseline and solvers managerial issues that you can investigate with SAILS 1-3 manual demand data preparation 5-4 manual preparation of customer demand values 3-15 of transportation cost information 3-18 manual preparation of weighted average freight costs 8-11 manually supplied freight rates 8-24 master database preparation 3-9 Materials Management, 1-5 mathematical models meet these requirements 2-5 measurement of flows and costs in network models 2-12 measures of volume in transaction file 6-9 miniature transaction file demand data preparation 5-4 option 5-8 preparation 6-18 minimum/maximum inconsistency in scenario generation mission of DCs 7-51 mixed integer linear program in solvers 12-4 model components 12-5 model objectives 12-5 mode 8-4 mode code transaction files 6-12, 16 mode type pricing restrictions 9-26 model building and using in SAILS 1-9 model baseline defined model components 1-10 model components within ODS and OPTIMA 4-5 model objective linear programming models 12-5 model solver use summary model usage strategy and solvers model validation and cost/flow baseline model-building factors to consider 4-5 modeling guidelines 3-6 modeling practices recommendations modeling techniques for economies of scale 7-36 monthly, weekly, and daily seasonal analyses 6-6 motor carrier class rates scaling options 8-20 Motor Carrier Freight Rates 1-21 multiple preparation methods for freight rates 8-34 National Motor Freight Class in product aggregation 4-36 NEMTB 8-4 network description data an introduction 1-10 in modeling 3-14 overview 4-1 summary Network Description Data chapter 4-1 network diagrams as physical models 3-3 network echelons action plan 4-50 defined 4-48 modeling considerations 4-48 predefined for ODS and OPTIMA 4-50 network flow decision variables 12-6 network model limitations concerning inventory analysis 13-3 Network Modeling Basics chapter 2-1 network models examples of 2-7 network nodes and definition of customer regions 4-9 define 5 transportation links 4-48 network structure decision variables 12-7 network structure variables facility locations new product introductions 10-8 NMFC 4-36, 8-4 nodal point cities specification of by customer region 6-43 nodal point lists non-standard 4-17 standard 4-16 nodes basic concepts 2-6 noncomparable facility missions 7-44 nonlinear cost functions and economies of scale 7-34 nonlinear distance/rate relationship and weighted average freight costs 8-14 ocean ports 4-24 ODS alternative facility sizes 7-37 baseline commodity flows 11-8 baseline replenishment flows 11-9 cost/flow baseline procedure facility data in 7-26 features 2-15 from overall view to split node representation 7-28 master DC locations in 4-52 network model, node and arc types in 2-14 optimization problem statement ODS and OPTIMA mixed integer linear programs 12-4 one-digit ZIP zones

6 6 INDEX demand scaling freight cost scaling 8-20 map of 4-23 open-ended excursions solvers OPTIMA alternative facility sizes 7-39 baseline commodity flows capabilities summary 7-19 cost/flow baseline procedure customer demands and outbound flows in baseline features 2-19 from overall view to split node representation 7-22 network model overview 2-16 optimization problem statement replenishment and transfer flows in baseline optimization a closer look 12-5 optimization problem statement order entry/shipment buildup in SHIPCONS 9-10 order/shipment size analysis 6-6 Origin Code 6-10 Origin DC Code 6-15 origin DC location importance of 11-6 origin-specific scaling 8-22 outbound arcs 2-14 outbound historical flow table 6-35 outbound link choices and solver performance outbound link generation in scenario generation outbound transaction file and cost/flow baseline 11-6 described 6-14 introduction 3-16 layout 6-17 processing logic 6-26 outbound transportation flow and network commodity flow in ODS 7-28 and network commodity flow in OPTIMA 7-26 output reports and files and cost/flow baseline and solvers overall plant data and network commodity flow in OPTIMA 7-25 overflow privilege 9-29 overview of SAILS 1-1 performance maximizing in the solver Physical Distribution Management. 1-5 physical model diagrams 3-3 limitations of 2-3 plant capacity data preparation 7-48 plant location defined 4-26 introduction to nodes 2-13 modeling considerations 4-26 selecting 4-26 selection action plan 4-27 what your list should include 4-26 plant representation in OPTIMA 2-16 pool points 4-23 pool shipment option 9-31 pool shipments pricing option 9-19 Post-Optimization Analysis chapter 13-1 preparing a cost/flow baseline, summary of customer demand data facility cost data 7-44 facility data inventory cost data 7-51 recoding/aggregation data 6-39 transaction files 6-38 transportation data weighted average freight costs equation preparation 8-12 how to 8-11 profile weighted average method 8-17 problem dimensions and solver performance procedure for implicitly modeling raw materials and intermediate products 7-30 processing logic for transaction files 6-24 processing transaction files 6-1 product bundling action plan 4-59 defined 4-56 in SHIPCONS 9-9 modeling considerations 4-57 overview 4-56 refinement 4-59 product flow balances in scenario generation product-specific capacity limits example 7-13 product-specific constraints and facility data 7-6 production lines as a SAILS facility type 7-1 profile weighted average and preparation of freight cost information 3-18 and preparation of weighted average freight costs 8-17 project flow summary 14-3 project management and modeling 3-20 Project Management Summary chapter 14-1

7 SAILS OPTIMIZATION SOFTWARE 7 proposed facility location analysis and solvers proprietary relational database manager 3-9 published tariffs 8-20 pure flow analysis, capacities included and solvers pure flow analysis, no capacities and solvers quantity, inbound, replenishment, and DC transfer files 6-10 quantity, outbound transaction file 6-15 raw material action plan 4-41 defined 4-41 explicit vs. implicit representation 4-41 inbound flows in baseline modeling considerations 4-41 networks in OPTIMA 2-17 procurement and network commodity flow 7-24 requirements computation in baseline supplier capacities 7-48 supplier requirements in baseline supplier selection action plan 4-30 modeling considerations 4-30 suppliers 2-13 raw material/intermediate product conversions and network commodity flow 7-24 recoding/aggregation data for customer class codes 6-48 for customer region 6-43 preparing 6-39 reconciliation items refinement of multiple product bundles 4-59 relational database manager 3-9 release triggers for shipment dispatching module 9-13 remove 3-9 replacement mode-specific freight rates 8-25 replenishment arcs 2-14 historical flow table 6-34 link generation in scenario generation transaction file defined 3-16 transaction file layout 6-13 transportation flow and network commodity flow in ODS 7-28 in OPTIMA 7-25 replenishment flow in ODS baseline 11-9 in OPTIMA baseline percentages 11-9 potential problems link generation in scenario generation replicated arcs a model with 2-10 replication of facilities limitations 7-39 replication strategy 4-24 reporting discrepancies facility data 7-43 reports available in SAILS transaction file processing 6-6, 32 restrictions customer service in SHIPCONS 9-27 mode type pricing 9-26 reverse flows and network echelons 4-52 rolling targets dispatching option in SHIPCONS 9-15 safety stock 13-2 SAILS modeling basics 3-1 SAILS Solvers chapter 12-1 scaling issues and solver performance in scenario generation scaling motor carrier class rates 8-20 scenario generation automatic link generation combination link generation customer sole sourcing DC transfer link generation defined 10-2 demand satisfaction exclusion options feasibility checks freight cost selection identifies options and restrictions 3-19 inbound link generation interplant transfer link generation link selection mandatory user inputs minimum/maximum inconsistency in scenario generation optional inputs outbound link generation product flow balances replenishment link generation and modeling 3-19 selection options 10-6 steps for ODS model 10-5 steps for OPTIMA model 10-5 summary supply/demand mismatch tasks required for 3-19 Scenario Generation chapter 10-1 scheduled shipment date option in SHIPCONS 9-15 scope definition project management summary 14-4 select 3-9

8 8 INDEX selection options in scenario generation customer demand 10-6 freight costs selectively replace 3-9 sensitivity analysis and solvers SHIPCONS and product bundling 4-60 consolidated shipments 9-30 data recording 9-34 delivery method selection 9-32 design of 9-7 input data required 9-5 large shipment bypass option 9-13 order entry/shipment buildup 9-10 processing rules 9-16 product bundling 9-9 purpose of 9-3 rolling targets dispatching option 9-15 scheduled shipment date option 9-15 shipment buildup tables 9-10 shipment dispatching options 9-13 shipment planning policy 9-38 shipment planning scope 9-9 shipment pricing options 9-18 shipment size scaling 9-29 split pricing 9-32 traffic management simulation model and customer class 4-46 when to use, summary SHIPCONS chapter 9-1 shipment buildup tables 9-10 shipment dispatching module release triggers 9-13 options in SHIPCONS 9-13 shipment planning policy in SHIPCONS 9-38 shipment pricing module in SHIPCONS 9-18 options in SHIPCONS 9-18 shipment profiles supplying 8-32 uncertainty 8-49 shipment size scaling in SHIPCONS 9-29 simplified models theories 11-1 simulation models characteristics of 9-6 simulations independent, in SHIPCONS 9-9 sink nodes 2-6 small/large order split pricing strategy 9-34 sole-sourcing in scenario generation solution tolerance and solver performance solution tolerance solver performance economies of scale general considerations outbound link choices problem dimensions scaling issues solution tolerance solvers capabilities, facility data 7-19 compressed solution file customer demand analysis defined 12-4 existing facility location analysis, capacities included existing facility location analysis, no capacities graphics package input file in SAILS 12-1 machine-readable solution files model validation open-ended excursions output reports and files proposed facility location analysis pure flow analysis, capacities included pure flow analysis, no capacities seek least-cost designs 3-20 sensitivity analysis synergy studies thinking like the 3-8 transportation policy what they do 12-4 written reports source nodes 2-6, 14 split node representation in ODS 7-28 in OPTIMA 7-22 split pricing in SHIPCONS 9-32 standard data files geographic 1-12 transportation 1-21 standard freight rate databases in SAILS 8-18 standard nodal point lists 4-16 State Code 6-14 state/county code-based customer aggregation table 6-46 statistical analysis approach to facility data preparation 7-46 statistical analysis of demand available in SAILS 6-6 Stock Code 6-10, 14 stock codes assembling 6-41 stocking points 13-2 stopoff shipments pricing option 9-19 stopoff/pool combinations in SHIPCONS 9-34 strategic logistics network design

9 SAILS OPTIMIZATION SOFTWARE 9 how to model in SAILS 3-1 substitution of one character string for another 6-19 summary of project management 14-1 super source aggregation of vendors 4-55 supplement 3-9 supplemental freight rates 8-24 supplier capacities and facility data preparation 7-48 supply demand mismatch in scenario generation synergy studies and solvers systemwide scaling 8-20 three-echelon model 2-9 three-echelon model with multiple flow paths 2-9 throughput limiting out a DC 7-51 TL 8-4 TOFC 8-4 traffic lane 8-7 transaction file aggregation 5-7 content 6-9 in modeling 3-16 preparation 6-38 processing 6-1 processing logic 6-23 purpose of 6-6 Transaction File Processing chapter 6-1 transaction history file and customer demand values 3-15 processing logic 5-7, 6-23 transfer transaction file 6-13 transportation cost defined 8-7 data in modeling 3-17 data preparation summary flow variables 12-7 links supported by SAILS 4-48 links, action plan 8-45 links, major types 8-5 policy analysis and solvers Transportation Data chapter 8-1 transshipment nodes 2-6, 14, 17 turn rate-based projections and inventory level estimation 13-4 U.P.S. Rates 1-21 U.S. standard nodal point lists 4-16 unit cost measures 4-36 United Parcel Service standard freight rate database 8-18 upper bound 2-7 using the model solver summary USPS ZIP code sectional centers 4-14 validation of the model and solvers variable component of freight cost in equations 8-13 variable costs and facility data 7-5 variables constraints on decision variables customer assignment decision 12-8 facility decision 12-7 facility flow 12-6 network flow decision variables 12-6 network structure facility location performance structural 12-7 transportation flow 12-7 vendor aggregation via clustering 4-55 vendor aggregation via super source 4-55 vendor-intensive systems 4-54 violation penalty charge 7-37 volume of demand 5-11 weight break 8-4 weighted average freight cost category 8-36 weighted average freight costs equation preparation 8-12 examples of equation method 8-15 manual preparation 8-11 preparing 8-11 profile weighted average preparation 8-17 selection weighted rate preparation options 8-38 written reports and cost/flow baseline and solvers available from transaction file processing 6-31 Yellow Freight Systems standard freight rate database 8-18 ZIP Code 6-14

10 10 INDEX Notes