d) Consider the single item inventory model. D = 20000/year, C0 = Rs 1000/order, C = Rs 200/item, i = 20%, TC at EOQ is a) 1000 b) 15000
|
|
- Gwen Greene
- 5 years ago
- Views:
Transcription
1 Assignment A model of the form Y = a + bt was fit with data for four periods. The two equations are 90 = 4a + 10b and 240 = 10a + 30b. The forecast for the fifth period is a) 120 b) 30 c) 160 d) 0 2. A time series data for six periods is given: 85, 83, 86, 89, 85, 87. The forecast for the seventh period using a 3 period moving average is a) 87 b) 97 c) 27 d) Consider the transportation formulation of the aggregate planning problem for 6 periods considering RT cost, OT cost, inventory and backorder costs, outsourcing costs and underutilization costs. The RT and OT capacities in each period is 2000 and 400 respectively. Outsourcing is permitted. The demands for six periods are 3000, 2000, 2500, 2800, 2200 and The minimum total supply in a balanced transportation problem is a) b) c) d) Consider the LP formulation of the aggregate planning problem for 12 periods considering all 8 costs. The constraints considered are the demand constraints, workforce balance constraints, RT and OT capacity constraints. The total number of constraints for all the periods together is a) 20 b) 48 c) 59
2 d) Consider the single item inventory model. D = 20000/year, C0 = Rs 1000/order, C = Rs 200/item, i = 20%, TC at EOQ is a) 1000 b) c) d) The lead time demand follows a normal distribution with mean = 200/week and σ = 40/week. LT = 4 weeks. Compute safety stock at 2σ service level. a) 100 b) 200 c) 180 d) The lead time demand follows a uniform distribution with 200 ± 80. If ROL = 240, find the service level? a) 80% b) 75% c) 30% d) 5% 8. Consider a 4 job 2 machine flow shop. The processing time for the 4 jobs in two machines are (10, 12), (5, 8), (3, 9) and (10,10). The optimum makespan from Johnson s algorithm is a) 42 b) 62 c) 12 d) 72
3 9. Consider a 4 job 3 machine flow shop. The processing times of the four jobs on three machines are ( ), (5, 8, 9), (3, 9, 8) and (10, 10, 10). The lower bound for makespan based on the three machines is a) 50 b) 150 c) 120 d) Consider a 4 job 3 machine flow shop. The processing times of the four jobs on three machines are ( ), (5, 8, 9), (3, 9, 8) and (10, 10, 10). The lower bound for makespan for the partial sequence 1-2 based on the three machines is a) 97 b) 67 c) 57 d) Consider a line balancing problem with 12 activities. They have been allocated to 5 workstations whose cycle times are 14, 16, 18, 17 and 15. The given cycle time is 20. The line efficiency of this solution is a) 100% b) 80% c) 20% d) 28% 12. Consider the disaggregation problem for 3 items. The monthly demands are DA = 400, DB = 500 and DC = 600 and the production capacity is The initial inventories are 200, 300 and 360. The solution has ta = 0, tb = 0.5. The inventory of A at t = 0.5 is a) 750 b) 150 c) 250 d) 450
4 13. Consider a 2 supply 3 demand transportation problem. The supply quantities are 100 and 80 and the demands are 80, 80 and 20. The unit costs of transportation from supply 1 are 6, 2, 4 and from supply 2 are 8, 3, 7 respectively. The objective function for the minimum cost method solution is a) 120 b) 140 c) 880 d) Consider a layout problem with three facilities. The movement among the facilities is given by w12 = 5, w23 = 4 and w13 = 6. The distance among the 3 sites are d12 = 1, d23 = 1 and d13 = 2. Assume symmetry. The load distance for the solution X12 = X21 = X33 = 1 is given by (Assume symmetric load and distance matrix, where wij = wji and dkl = dlk. Also Xik = 1 indicates that facility i is assigned to site k) a) 38 b) 98 c) 78 d) Given the data 63, 64, 66, 67, 67, 69, 71, 72 find the forecast for the ninth period using linear regression? a) b) c) d) Consider two items with the following data D1 = 18000/year, D2 = 20000/year, C0 = 1000, C1 = 80,C2 = 50, Cs = 50/unit/year and i = 20%. Use P = 25000/year for both the items. Find the individual production quantities Q1 and Q2? a) Q1 = 1875, Q2 = 2881 to 2582 b) Q1 = 1275, Q2 = 1881 to 1582 c) Q1 = 3875, Q2 = 3881 to 3582 d) Q1 = 875, Q2 = 881 to 582
5 17. Consider the demand for six periods (in man hours) 3500, 3200, 4000, 3600, 4200 and Regular time capacity is 3600 hours and overtime capacity is 400 hours in a month. The RT, OT and inventory costs are 30, 45 and 5 per unit and per unit per month. Use outsourcing cost as Rs 50 per hour. The organization has the policy to use only RT when the demand can be met using RT. They will use OT when the demand cannot be met with RT. They will use outsourcing only when they exhaust both RT and OT capacity. Find the cost of this aggregate plan? They do not store at the end of the period. a) b) c) d) Consider two items with the following data D1 = 12000, D2 = 16000, C0 = 1000, C1 = 80 and C2 = 50, i = 20%. There is a limit of 10 on the total number of orders but joint orders are acceptable. Find the number of orders that minimizes total cost under the constraints? a) 9.38 b) c) 1.38 d) Consider two items with the following data D1 = 20000, D2 = 10000, C0 = 1500, C1 = 60 and C2 = 80, i = 20%. The order cost has two components an administrative cost of 500 and truck cost of The company can save one truck cost if the items are ordered together. The total cost at EOQ for two items when ordered individually is. The total cost when ordered together is a) 8740, b) 48740, c) 28740, d) 18740, Given D = 14000, C = 40, C0 = 400 andi = 20%. The supplier is willing to give an all quantity discount of 2% if Q 2000? There is also a marginal quantity discount of 5%
6 and 10% at quantities 2000 and 5000 respectively. Find the EOQ and the TC at EOQ (including the item cost)? a) EOQ = 183, TC = 5665 b) EOQ = 1983, TC = c) EOQ = 1183, TC = d) EOQ = 2983, TC = Consider a job shop scheduling problem with three jobs and three machines. The routes and processing times (in the usual notation) for the jobs are J1 M1 (8), M3 (12), M2 (8). J2 M3 (12), M1 (9), M2 (10), and J3 M3 (10), M1 (12), M2 (15). Solve the job shop scheduling problem using SPT rule as the dispatching rule and FIFO as tie breaking rule. Find the makespan. a) 55 b) 20 c) 10 d) Consider a five job three machine flowshop scheduling problem. The processing times for the five jobs are J1 (27, 10, 8), J2 (12, 9, 10), J3 (11, 10, 8), J4 (8, 13, 12) and J5 (14, 12, 9). Find the lower bound to makespan considering the three machines? Find the lower bound for a partial sequence J3 J5 J1? The makespan obtained using Palmer s heuristic is. a) 90, 94, 90 b) 70, 124, 80 c) 10, 74, 190 d) 190, 24, Consider a four job three machine flowshop scheduling problem. The processing times for the four jobs are J1 (27, 8, 20), J2 (12, 6, 9), J3 (11, 5, 12), J4 (8, 4, 13). The due dates for the jobs are 50, 60, 40, 30. Find the minimum makespan? a) 83 b) 23 c) 63 d) 43
7 24. Solve a fixed charge transportation problem with two supply points and three demand points. The supplies are 100 and 80 while the demands are 60, 70 and 50. The unit costs of transportation are 9, 6, 4, and 7, 15, and 10 from the two supply points. The fixed costs are 300, 280, 350 and 360, 350, 400 respectively from the two supply points. Use the method where the fixed cost is approximated using the demand and supply. The total cost associated with the heuristic solution when applied on the original data is a) 2550 b) 1050 c) 1250 d) 750
GEARMOTORS AF MOTORS FOR INVERTER C-1
C-1 C-2 C-3 C-4 R R C-5 C-6 C-7 1.47 14.7 584Hz 438Hz 318Hz 270Hz 234Hz 206Hz 167Hz 140Hz 121Hz 100Hz 81.4Hz 68.6Hz 59.4Hz 49.2Hz 40.2Hz 33.7Hz 28.9Hz 24.5Hz 21.2Hz 17.9Hz 15.2Hz 12.8Hz 3.11 4.15 5.70
More informationKanban Size and its Effect on JIT Production Systems
Kanban Size and its Effect on JIT Production Systems Ing. Olga MAŘÍKOVÁ 1. INTRODUCTION Integrated planning, formation, carrying out and controlling of tangible and with them connected information flows
More informationAutologue User s Manual Multi-Store. Table Of Contents
Autologue User s Manual Multi-Store Page i Table Of Contents 18. Introduction Multi-Store... 1 18.1 Definitions Of Vocabulary... 2 18.2 Accessing A Remote Store... 3 18.3 Multi-Store Purchasing Overview...
More informationCHAPTER 8 DISCUSSIONS
153 CHAPTER 8 DISCUSSIONS This chapter discusses the developed models, methodologies to solve the developed models, performance of the developed methodologies and their inferences. 8.1 MULTI-PERIOD FIXED
More informationSUGGESTED SOLUTION CA FINAL MAY 2017 EXAM
SUGGESTED SOLUTION CA FINAL MAY 2017 EXAM ADVANCED MANAGEMENT ACCOUNTING Test Code - F M J 4 0 1 6 BRANCH - (MULTIPLE) (Date : 11.02.2017) Head Office : Shraddha, 3 rd Floor, Near Chinai College, Andheri
More informationSimulation. Lecture O1 Optimization: Linear Programming. Saeed Bastani April 2016
Simulation Lecture O Optimization: Linear Programming Saeed Bastani April 06 Outline of the course Linear Programming ( lecture) Integer Programming ( lecture) Heuristics and Metaheursitics (3 lectures)
More informationFundamentals of Integer Programming
Fundamentals of Integer Programming Di Yuan Department of Information Technology, Uppsala University January 2018 Outline Definition of integer programming Formulating some classical problems with integer
More informationFuzzy Inventory Model without Shortage Using Trapezoidal Fuzzy Number with Sensitivity Analysis
IOSR Journal of Mathematics (IOSR-JM) ISSN: 78-578. Volume 4, Issue 3 (Nov. - Dec. 0), PP 3-37 Fuzzy Inventory Model without Shortage Using Trapezoidal Fuzzy Number with Sensitivity Analysis D. Dutta,
More informationRuled Based Approach for Scheduling Flow-shop and Job-shop Problems
Ruled Based Approach for Scheduling Flow-shop and Job-shop Problems Mohammad Komaki, Shaya Sheikh, Behnam Malakooti Case Western Reserve University Systems Engineering Email: komakighorban@gmail.com Abstract
More informationFLEXIBLE ASSEMBLY SYSTEMS
FLEXIBLE ASSEMBLY SYSTEMS Job Shop and Flexible Assembly Job Shop Each job has an unique identity Make to order, low volume environment Possibly complicated route through system Very difficult Flexible
More informationLesson 08 Linear Programming
Lesson 08 Linear Programming A mathematical approach to determine optimal (maximum or minimum) solutions to problems which involve restrictions on the variables involved. 08 - Linear Programming Applications
More informationOptimizing Octagonal Fuzzy Number EOQ Model Using Nearest Interval Approximation Method
Optimizing Octagonal Fuzzy Number EOQ Model Using Nearest Interval Approximation Method A.Farita Asma 1, C.Manjula 2 Assistant Professor, Department of Mathematics, Government Arts College, Trichy, Tamil
More informationFundamentals of Operations Research. Prof. G. Srinivasan. Department of Management Studies. Indian Institute of Technology, Madras. Lecture No.
Fundamentals of Operations Research Prof. G. Srinivasan Department of Management Studies Indian Institute of Technology, Madras Lecture No. # 13 Transportation Problem, Methods for Initial Basic Feasible
More informationBCN Decision and Risk Analysis. Syed M. Ahmed, Ph.D.
Linear Programming Module Outline Introduction The Linear Programming Model Examples of Linear Programming Problems Developing Linear Programming Models Graphical Solution to LP Problems The Simplex Method
More informationOn Specially Structured Two Stage Flow Shop Scheduling Problem with Jobs In A String of Disjoint Job Blocks
Available online at www.pelagiaresearchlibrary.com Advances in Applied Science Research, 2016, 7(4):190-196 ISSN: 0976-8610 CODEN (USA): AASRFC On Specially Structured Two Stage Flow Shop Scheduling Problem
More informationI R TECHNICAL RESEARCH REPORT. Selecting Equipment for Flexible Flow Shops. by Rohit Kumar, Jeffrey W. Herrmann TR
TECHNICAL RESEARCH REPORT Selecting Equipment for Flexible Flow Shops by Rohit Kumar, Jeffrey W. Herrmann TR 2003-19 I R INSTITUTE FOR SYSTEMS RESEARCH ISR develops, applies and teaches advanced methodologies
More informationBalancing the flow. Part 3. Two-Machine Flowshop SCHEDULING SCHEDULING MODELS. Two-Machine Flowshop Two-Machine Job Shop Extensions
PRODUCTION PLANNING AND SCHEDULING Part 3 Andrew Kusiak 3 Seamans Center Iowa City, Iowa 54-57 Tel: 3-335 534 Fax: 3-335 566 andrew-kusiak@uiowa.edu http://www.icaen.uiowa.edu/~ankusiak SCHEDULING Assignment
More informationIINSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad
Hall Ticket No Question Paper Code: AHS012 IINSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad - 500 043 MODEL QUESTION PAPER B. TechV Semester End Examinations (Regular), December
More informationLinear Programming. L.W. Dasanayake Department of Economics University of Kelaniya
Linear Programming L.W. Dasanayake Department of Economics University of Kelaniya Linear programming (LP) LP is one of Management Science techniques that can be used to solve resource allocation problem
More informationOPERATIONS RESEARCH. Transportation and Assignment Problems
OPERATIONS RESEARCH Chapter 2 Transportation and Assignment Problems Prof Bibhas C Giri Professor of Mathematics Jadavpur University West Bengal, India E-mail : bcgirijumath@gmailcom MODULE-3: Assignment
More informationLESSON 24: JUST-IN-TIME
LESSON 24: JUST-IN-TIME Outline Just-in-Time (JIT) Examples of Waste Some Elements of JIT 1 Just-in-time Producing only what is needed and when it is needed A philosophy An integrated management system
More informationFrontier Telephone Companies TARIFF FCC NO. 3 Original Page 16-1 ACCESS SERVICE
Original Page 16-1 16. Grandfathered Services Grandfathered services are tariff offerings which are limited to existing customers and are not available to new customers. The services listed in this section
More informationChapter 15 Introduction to Linear Programming
Chapter 15 Introduction to Linear Programming An Introduction to Optimization Spring, 2015 Wei-Ta Chu 1 Brief History of Linear Programming The goal of linear programming is to determine the values of
More informationSynchronized Base Stock Policies
Synchronized Base Stock Policies Ton de Kok Department of Technology Management Technische Universiteit Eindhoven Contents Value Network Model Network transformation principles Divergent structures and
More informationIndex. optimal package assignments, 143 optimal package assignments, symmetrybreaking,
A Abstract approach, 79 Amphibian coexistence aquarium, 7 executes, 16 model, 13 15 modeling languages, 11 12 MPSolver, 12 OR-Tools library, 12 preys, 7 run a model, 17 18 solution, 17 three-step approach,
More informationRelease Notes Build 395
Release Notes Build 395 Build 395.1.0 - Released July 12, 2017 Contents Overview... 1 System Administrator Task List... 7 New Features... 15 Documentation Changes... 24 Overview This latest version of
More informationStructured English Examples
Logic Modeling Logic and timing are not represented on data flow diagrams or entity-relationship diagrams Processes contain logic - what happens under what conditions Logic is modeled per process Types
More informationIndustrial And Manufacturing Systems (IMSE)
Industrial And Manufacturing Systems (IMSE) 1 Industrial And Manufacturing Systems (IMSE) IMSE 1000: Introduction to Industrial Introduction to industrial engineering profession, the Industrial and Manufacturing
More informationADMS 3330 FALL 2008 EXAM All Multiple choice Exam (See Answer Key on last page)
MULTIPLE CHOICE. Choose the letter corresponding to the one alternative that best completes the statement or answers the question. 1. Which of the following are assumptions or requirements of the transportation
More informationObject Oriented Programming Using C ++ Page No. : 1. ASSIGNMENT SHEET WITHOUT USING OBJECT AND CLASSES
Object Oriented Programming Using C ++ Page No. : 1. ASSIGNMENT SHEET WITHOUT USING OBJECT AND CLASSES 1. Write a program to calculate the sum of two numbers using function. 2. Write a program to calculate
More informationOLE Smarts115, Smarts116
Each SMART File is listed in one or more of the categories below. Following the categories is a list of each model with a brief description of its application and the key modules or constructs used. Animation
More informationBEC. Operations Special Interest Group (SIG)
Operations Special Interest Group (SIG) Operations Special Interest Group (SIG) Purpose: The purpose of the SIG is to provide the opportunity for attendees to discuss their experience with the topic area
More informationy o u r u s e r g u i d e
your user guide www.thermofisher.com.au 2 key benefits Easy to do business Support at hand Partners in process See your prices and stock availability in real-time with information available 24/7 Search
More informationJoint Office of Gas Transporters xxxx: <Introduction of a Discretionary Release Mechanism for Non-Obligated Annual NTS Exit (Flat) Capacity>
CODE MODIFICATION PROPOSAL No xxxx
More informationA Heuristic Approach to the Design of Kanban Systems
A Heuristic Approach to the Design of Kanban Systems Chuda Basnet Department of Management Systems University of Waikato, Hamilton Abstract Kanbans are often used to communicate replenishment requirements
More informationIV. Special Linear Programming Models
IV. Special Linear Programming Models Some types of LP problems have a special structure and occur so frequently that we consider them separately. A. The Transportation Problem - Transportation Model -
More informationMASS Modified Assignment Algorithm in Facilities Layout Planning
International Journal of Tomography & Statistics (IJTS), June-July 2005, Vol. 3, No. JJ05, 19-29 ISSN 0972-9976; Copyright 2005 IJTS, ISDER MASS Modified Assignment Algorithm in Facilities Layout Planning
More informationCS6704 RESOURCE MANAGEMENT TECHNIQUES TOPIC WISE QUESTION BANK LINEAR PROGRAMMING PROBLEMS 1) What is OR techniques? Where it can be used? 2) What is OR? List out various applications of OR. 3) Explain
More informationSouth Dakota Board of Regents Human Resources/Finance Information Systems. Fastenal Punchout Training Guide Version Number 2.
South Dakota Board of Regents Human Resources/Finance Information Systems Version Number 2.0 Date: 2/4/2015 Table of Contents Purchasing Page Introduction 2 Overview 2 Intended Audience 2 Documentation
More informationEfficient Synthesis of Production Schedules by Optimization of Timed Automata
Efficient Synthesis of Production Schedules by Optimization of Timed Automata Inga Krause Institute of Automatic Control Engineering Technische Universität München inga.krause@mytum.de Joint Advanced Student
More informationInventory Module & Wireless Device. User Quick Start Guide
Inventory Module & Wireless Device User Quick Start Guide Published on: 3/14/2007 Copyright and Disclaimer Copyright 2007 Pace Systems Group, Inc., 1902 2 nd Avenue North, Jacksonville Beach, Florida,
More informationResource-Constrained Project Scheduling
DM204 Spring 2011 Scheduling, Timetabling and Routing Lecture 6 Resource-Constrained Project Scheduling Marco Chiarandini Department of Mathematics & Computer Science University of Southern Denmark Outline
More informationOptimization of a Multiproduct CONWIP-based Manufacturing System using Artificial Bee Colony Approach
Optimization of a Multiproduct CONWIP-based Manufacturing System using Artificial Bee Colony Approach Saeede Ajorlou, Member, IAENG, Issac Shams, Member, IAENG, and Mirbahador G. Aryanezhad Abstract In
More informationConvex Optimization CMU-10725
Convex Optimization CMU-10725 2. Linear Programs Barnabás Póczos & Ryan Tibshirani Please ask questions! Administrivia Lecture = 40 minutes part 1-5 minutes break 35 minutes part 2 Slides: http://www.stat.cmu.edu/~ryantibs/convexopt/
More information8.1 OVERVIEW OF THE INVENTORY MODULE ADDING NEW ITEMS...
Chapter Module The module is used to record and track inventory and storeroom information. This Chapter describes how to use the Web Work module. Table of Contents 8.1 OVERVIEW OF THE INVENTORY MODULE...
More informationCourse Introduction. Scheduling: Terminology and Classification
Outline DM87 SCHEDULING, TIMETABLING AND ROUTING Lecture 1 Course Introduction. Scheduling: Terminology and Classification 1. Course Introduction 2. Scheduling Problem Classification Marco Chiarandini
More informationSEN301 OPERATIONS RESEARCH I PREVIUOS EXAM QUESTIONS
SEN30 OPERATIONS RESEARCH I PREVIUOS EXAM QUESTIONS. A company is involved in the production of two items (X and Y). The resources need to produce X and Y are twofold, namely machine time for automatic
More informationDIGITAL NETWORK SERVICES CITIZENS DIGITAL CHANNEL SERVICE
Original Sheet 1 CITIZENS DIGITAL CHANNEL SERVICE.1 General 1.1 Citizens Digital Channel Service is an intraexchange multifunctional digital channel service which provides network access between a customer's
More informationService Definition Wavelength Service
Service Definition Wavelength Service Standard S003 Ver 2 Contents 1 Overview... 1 1.1 Introduction... 1 1.2 Product Overview... 1 2 Service Specification... 1 3 Service Levels... 2 3.1 Target Service
More informationSOLVED m- MACHINES, n- JOB FLOW SHOP SEQUENCING PROBLEM USING A HEURISTIC ALGORITHM
ISSN 2349-9368 (Online); EAPJMER/issn. 2349-9368/26; Volume 4 Issue 2 (28) www.elkjournals.com SOLVED m- MACHINES, n- JOB FLOW SHOP SEQUENCING PROBLEM USING A HEURISTIC ALGORITHM ANUJ GANGWAR (M.Tech Scholor)
More informationThe Multi-Item Capacitated Lot-Sizing Problem With Safety Stocks and Demand Shortage Costs
The Multi-Item Capacitated Lot-Sizing Problem With Safety Stocks and Demand Shortage Costs Nabil Absi 1, Safia Kedad-Sidhoum 2 1 Ecole des Mines de Saint-Etienne, CMP - Site Georges Charpak - 880 Avenue
More informationTransition Curves for Roads Designers Manual
Transition Curves for Roads Designers Manual Muthanna Husham Alfityan 1 and Adnan Bin Zulkiple 2 1 PhD Student, Universiti Malaysia Pahang muthanaalfit@hotmail.com 2 Faculty of Civil Engineering & Earth
More informationGetting Started and Update Guide
Formerly ALLDATA ServiceCenter Getting Started and Update Guide Contents: Customer Support... 2 ServiceCenter SM Installation... 3 Configuring Aftermarket Parts Catalog... 11 ServiceCenter Setup... 13
More informationTwo Phase Approximation Method Based on Bat Algorithm on Multi-objective Aggregate Production Planning
Two Phase Approximation Method Based on Algorithm on Multi-objective Aggregate Production Planning Pongchanun Luangpaiboon Abstract This paper proposes the two phase approximation method (2-PAM) based
More informationIntroduction. Chapter 15. Optimization Modeling: Applications. Integer Programming. Manufacturing Example. Three Types of ILP Models
Chapter 5 Optimization Modeling: Applications Integer Programming Introduction When one or more variables in an LP problem must assume an integer value we have an Integer Linear Programming (ILP) problem.
More informationExact and Approximation Algorithms for the Scheduling Tasks to Minimize the Number of Processors
Exact and Approximation Algorithms for the Scheduling Tasks to Minimize the Number of Processors Natalia S. Grigoreva St.Petersburg State University Universitetskaj nab. 7/9, 199034 St.Petersburg, Russia
More informationOptimal Network Flow Allocation. EE 384Y Almir Mutapcic and Primoz Skraba 27/05/2004
Optimal Network Flow Allocation EE 384Y Almir Mutapcic and Primoz Skraba 27/05/2004 Problem Statement Optimal network flow allocation Find flow allocation which minimizes certain performance criterion
More informationDESCRIPTION OF UK LINK. July Version 1.1 For Approval. Deleted: June Formatted: Highlight. Formatted: Highlight
DESCRIPTION OF UK LINK July 2017 Version 1.1 For Approval Deleted: June Formatted: Highlight Formatted: Highlight Version Control Version COR Date of Change Changes 1 Draft - June 2017 Update to reflect
More informationAccelerated Algebra I Final Review Linear and Exponential Functions 1. If f (x) = 3x 5 and the domain of f is {2, 4, 6}, what is the range of f (x)?
Accelerated Algebra I Final Review Linear and Exponential Functions 1. If f (x) = 3x 5 and the domain of f is {2, 4, 6}, what is the range of f (x)? 2. Given the graph of f (x) below, what is f (2)? 3.
More informationLinear Programming. Meaning of Linear Programming. Basic Terminology
Linear Programming Linear Programming (LP) is a versatile technique for assigning a fixed amount of resources among competing factors, in such a way that some objective is optimized and other defined conditions
More informationSupplier Relationship Management. Vendor user manual. Creation of Advance Shipment Notification (ASN)
Supplier Relationship Management Vendor user manual Creation of Advance Shipment Notification (ASN) Ways to access Internet Explorer 3. Click on Internet Explorer 2. Click on All programs 1. Go to the
More informationIJSER
International Journal of Scientific & Engineering Research, Volume 4, Issue 1, October-213 1399 EFFECT OF KANBANS IN THE PERFORMANCE OF, AND E G.G Sastry 1, Dr. Mukesh Saxena 2, Dr. Rajnish Garg 3 Abstract
More informationMEMORANDUM OF UNDERSTANDING
MEMORANDUM OF UNDERSTANDING 2018-19 1. This memorandum of understanding (MOU) is between M/s having its registered office at.... (first part) and M/s National Aluminium Company Limited having its registered
More informationDIGITAL SUBSCRIBER LINE (DSL) SERVICE GUIDE
Title Page DIGITAL SUBSCRIBER LINE (DSL) SERVICE GUIDE REGULATIONS, RATES, AND CHARGES Applying to the Provision of DSL For Customers of This DSL Service Guide does not include Internet Access, Content
More informationTechnician TRAINING WORKBOOK
Technician TRAINING WORKBOOK XSELLERATOR Service Terminology Definitions... 2 Clocking Into-Out of XSELLERATOR Technician... 3 Logging On and Off a Work Order... 4 Recording Straight Time... 6 Requesting
More informationEnhancements to Notes There are two new features available in notes that will improve its usefulness: Note Assignment and Note Searching.
Enhancements to Notes There are two new features available in notes that will improve its usefulness: Note Assignment and Note Searching. You can assign ownership of a note to an individual and that person
More informationCDG2A/CDZ4A/CDC4A/ MBT4A ELEMENTS OF OPERATIONS RESEARCH. Unit : I - V
CDG2A/CDZ4A/CDC4A/ MBT4A ELEMENTS OF OPERATIONS RESEARCH Unit : I - V UNIT I Introduction Operations Research Meaning and definition. Origin and History Characteristics and Scope Techniques in Operations
More informationCOT 6936: Topics in Algorithms! Giri Narasimhan. ECS 254A / EC 2443; Phone: x3748
COT 6936: Topics in Algorithms! Giri Narasimhan ECS 254A / EC 2443; Phone: x3748 giri@cs.fiu.edu http://www.cs.fiu.edu/~giri/teach/cot6936_s12.html https://moodle.cis.fiu.edu/v2.1/course/view.php?id=174
More informationSection 8.3 Vector, Parametric, and Symmetric Equations of a Line in
Section 8.3 Vector, Parametric, and Symmetric Equations of a Line in R 3 In Section 8.1, we discussed vector and parametric equations of a line in. In this section, we will continue our discussion, but,
More informationDeterministic Variable Demand Inventory. Chen Zhou Assoc. Prof For Prof. Reveliotis Sept 11, 2008
Deterministic Variable Demand Inventory Chen Zhou Assoc. Prof For Prof. Reveliotis Sept 11, 2008 Demand and replenishment Demand can be Nearly deterministic Variable Replenishment is in discrete intervals
More information56:272 Integer Programming & Network Flows Final Exam -- December 16, 1997
56:272 Integer Programming & Network Flows Final Exam -- December 16, 1997 Answer #1 and any five of the remaining six problems! possible score 1. Multiple Choice 25 2. Traveling Salesman Problem 15 3.
More informationColumn Generation II : Application in Distribution Network Design
Column Generation II : Application in Distribution Network Design Teo Chung-Piaw (NUS) 27 Feb 2003, Singapore 1 Supply Chain Challenges 1.1 Introduction Network of facilities: procurement of materials,
More informationInteger Programming and Network Modeis
H.A. Eiselt C.-L. Sandblom Integer Programming and Network Modeis With Contributions by K. Spielberg, E. Richards, B.T. Smith, G. Laporte, B.T. Boffey With 165 Figures and 43 Tables &m Springer CONTENTS
More informationقالىا سبحانك ال علم لنا إال ما علمتنا صدق هللا العظيم. Lecture 5 Professor Sayed Fadel Bahgat Operation Research
قالىا سبحانك ال علم لنا إال ما علمتنا إنك أنت العليم الحكيم صدق هللا العظيم 1 والصالة والسالم علي اشرف خلق هللا نبينا سيدنا هحود صلي هللا عليه وسلن سبحانك اللهم وبحمدك اشهد أن ال هللا إال أنت استغفرك وأتىب
More informationWork Area Transfer History
Work Area Transfer History The Work Area Transfer History page is used to display details of transfers between work areas, and to review the Material Request (MR) associated with these transfer. It is
More informationAdvances of parallel computing. Kirill Bogachev May 2016
Advances of parallel computing Kirill Bogachev May 2016 Demands in Simulations Field development relies more and more on static and dynamic modeling of the reservoirs that has come a long way from being
More informationUser. Manual. P L U S v e r s i o n. Copyright 2002 CWORKS SYSTEMS BERHAD All Rights Reserved
User Manual P L U S v e r s i o n CWORKS Copyright 2002 CWORKS SYSTEMS BERHAD All Rights Reserved Table of Contents 1. WHAT IS CWORKS?... 9 1.1 HOW IS IT USED?...10 1.2 WHAT SHOULD YOU DO BEFORE STARTING?...10
More informationSECTION 44. WHOLESALE BROADBAND SERVICES Part 8. BT IPstream Connect. Product Information Operative Date
SECTION 44. WHOLESALE BROADBAND SERVICES Part 8. BT Product Information Operative Date 31.07.2008. is a wholesale broadband access product that provides service from the End User (EU) premises to 10 handover
More informationFrequently Asked Questions
Click on any of the frequently asked questions below to display the answer. If you cannot find the answer to your question, please contact Member Services on 08 8154 0200, 9.00 am to 5.00 pm Adelaide time,
More informationChapter 5: Distributed Process Scheduling. Ju Wang, 2003 Fall Virginia Commonwealth University
Chapter 5: Distributed Process Scheduling CMSC 602 Advanced Operating Systems Static Process Scheduling Dynamic Load Sharing and Balancing Real-Time Scheduling Section 5.2, 5.3, and 5.5 Additional reading:
More informationTabu search and genetic algorithms: a comparative study between pure and hybrid agents in an A-teams approach
Tabu search and genetic algorithms: a comparative study between pure and hybrid agents in an A-teams approach Carlos A. S. Passos (CenPRA) carlos.passos@cenpra.gov.br Daniel M. Aquino (UNICAMP, PIBIC/CNPq)
More informationHaines Online (HOL) User Manual
Haines Online (HOL) User Manual 1 HOL: Table of Contents About Haines Online pg 3 Accessing Haines Online pg 4 Retrieving lost password/user name and changing Password Order Entry pg8 Processing an Order
More information56:171 Operations Research Homework #5 Solution Fall 2002
SOLTION. Consider the transportation tableau: 56:7 Operations Research Homework #5 Solution Fall 00 dstn source 5 Supply 8 9 5 9 B 0 7 C 9 7 8 D 7 8 9 0 9 0 Demand= 7 5 5 9 a. se the initial basic solution:
More informationUNIT 2 LINEAR PROGRAMMING PROBLEMS
UNIT 2 LINEAR PROGRAMMING PROBLEMS Structure 2.1 Introduction Objectives 2.2 Linear Programming Problem (LPP) 2.3 Mathematical Formulation of LPP 2.4 Graphical Solution of Linear Programming Problems 2.5
More informationCHAPTER 3 DEVELOPMENT OF HEURISTICS AND ALGORITHMS
CHAPTER 3 DEVELOPMENT OF HEURISTICS AND ALGORITHMS 3.1 INTRODUCTION In this chapter, two new algorithms will be developed and presented, one using the Pascal s triangle method, and the other one to find
More informationOptimal Cache Allocation for Content-Centric Networking
Optimal Cache Allocation for Content-Centric Networking Yonggong Wang, Zhenyu Li, Gaogang Xie Chinese Academy of Sciences Gareth Tyson, Steve Uhlig QMUL Yonggong Wang, Zhenyu Li, Gareth Tyson, Steve Uhlig,
More informationA genetic algorithm approach for scheduling of resources in well-services companies
A genetic algorithm approach for scheduling of resources in well-services companies Adrian Brezulianu, Lucian Fira Gheorghe Asachi Technical University of Iasi and Greensoft Ltd. Iasi, Romania Monica Fira
More informationMRPEasy features. MRPEasy is a powerful yet simple manufacturing software especially built for effective manufacturing control.
MRPEasy features MRPEasy is a powerful yet simple manufacturing software especially built for effective manufacturing control. The solution is an online service, extremely easy to use, effortless to maintain,
More informationCMS Client Smart Orders User Guide
CMS Client Smart Orders User Guide AstraZeneca UK Version 2 (28/03/2017) Contents Page No Client Portal Login... 1 Client Portal... 1-2 Configure Product Request... 2 Shopping Cart Summary... 4 Delivery
More informationOPTIMIZING THE TOTAL COMPLETION TIME IN PROCESS PLANNING USING THE RANDOM SIMULATION ALGORITHM
OPTIMIZING THE TOTAL COMPLETION TIME IN PROCESS PLANNING USING THE RANDOM SIMULATION ALGORITHM Baskar A. and Anthony Xavior M. School of Mechanical and Building Sciences, VIT University, Vellore, India
More informationAdministrative Duties
1 Module # 4 - Component # 2 Administrative Duties Daily Duties MORNING MEETING Discuss Evaluations, Pick-ups, drop offs, Sitting for Meals etc. GENERAL REPORTS ON EXCEL Climate, Guest Register, Bed night
More informationElectrical measurement and control Maximum demand control systems
Electrical measurement and control Maximum demand control systems M.6 M. 6 Maximum demand control systems M.6 - Maximum demand control systems Introduction 3 Product selection table 5 DH96 CPP Digital
More informationSolutions for Operations Research Final Exam
Solutions for Operations Research Final Exam. (a) The buffer stock is B = i a i = a + a + a + a + a + a 6 + a 7 = + + + + + + =. And the transportation tableau corresponding to the transshipment problem
More informationTHE EFFECTIVENESS OF STATIC IMPLICATIONS IN REAL-TIME RAILWAY TRAFFIC MANAGEMENT
Advanced OR and AI Methods in Transportation THE EFFECTIVENESS OF STATIC IMPLICATIONS IN REAL-TIME RAILWAY TRAFFIC MANAGEMENT Marco PRANZO, Andrea D ARIANO, Dario PACCIARELLI Abstract. We study a real-time
More informationChapter 17 Further Practical Study of the Kanban System. Seoul National University Professor ILKYEONG MOON
Chapter 17 Further Practical Study of the Kanban System Seoul National University Professor ILKYEONG MOON All rights reserved, 2013 17.1 17.2 17.3 17.4 Maximum number of production kanbans to be stored
More informationNew algorithm for analyzing performance of neighborhood strategies in solving job shop scheduling problems
Journal of Scientific & Industrial Research ESWARAMURTHY: NEW ALGORITHM FOR ANALYZING PERFORMANCE OF NEIGHBORHOOD STRATEGIES 579 Vol. 67, August 2008, pp. 579-588 New algorithm for analyzing performance
More informationLinear Programming. Linear programming provides methods for allocating limited resources among competing activities in an optimal way.
University of Southern California Viterbi School of Engineering Daniel J. Epstein Department of Industrial and Systems Engineering ISE 330: Introduction to Operations Research - Deterministic Models Fall
More informationDesigning and managing an SNA network for growth
Designing and managing an SNA network for growth by S. M. SCHIFFMAN IBM Tampa, Florida ABSTRACT The IBM Information Network is a nationwide System Network Architecture (SNA) network that offers network
More informationInventory Organizations
Organizations represent distinct entities in your company and can include separate manufacturing facilities, warehouses, distribution centers, and branch offices. Inventory Organizations An Inventory organization
More informationThe Kanban Course. Workbook
The Kanban Course Workbook Batch Production and Signal Kanban Contains the modules Kanban in Batch Production and Calculating Signal Kanban Quantities A workbook intended to accompany the Facilitator s
More information