Post on 12-Apr-2017
transcript
IMPROVING PERFORMANCE AND FLEXIBILITY AT THE WORLD'S LEADING AVIATION INFORMATION COMPANY
MMS Operations 2016-17Group 1
Kashyap Salvi (027)Subodh Kadam (051)Parikshit Jagtap (139)
INTRODUCTION
Founded in 1934 by Elrey B. Jeppesen
First to make aeronautical charts for pilots to navigate in flight
World’s leader in aviation information
1,400 employees (900 in Denver, Colorado, 300 in Frankfurt, Germany, and the rest in small offices around the world)
INTRODUCTION
Manufactures flight manuals containing critical safety information to over 300,000 pilots and 400 airlines worldwide from over 80 countries.
Over 80 percent of pilots rely on Jeppesen charts.
American, Delta, Federal Express, Japan Airlines, Korean Airlines, Lufthansa, many smaller airlines and many private and corporate pilots.
Acquired by Boeing in October 2000
PRODUCTS
New Manuals | Revisions
Flight simulators, training packages, flight planning, and other aviation products.
The revisions go out to customers who already have Jeppesen manuals. A revision is a collection of folds, and charts that have been changed or revised during the current production week.
NEW MANUALS
REVISED MANUALS
SERVICE PROBLEMS
The number of orders delivered late was growing at an alarming rate
Jeppesen’s customer service had deteriorated because its existing production and supporting systems could not keep up with changing customer demand.
Threatened Jeppesen’s ability to provide prompt customer service.
SERVICE PROBLEMS
SERVICE PROBLEMS
SERVICE PROBLEMS
Project Description
OR tools to improve production planningStrategic Economic analysis
Improve the production process by making strategic investments in alternative production technology
Developed a list of technology alternatives Simulation and optimization to analyze alternatives Recommended purchase of several pieces of capital equipment
Decision support tools Created a suite of decision support tools for production planning
Development of linear program to optimize production of weekly revisionMixed integer programing model to daily optimize completion of new orderStochastic dynamic inventory management model to control disposal of outdated
chartsKnowledge based heuristic to minimize scrap when making plates
Models used in decision support tools
Developing accurate cost estimate Collection of empirical data regarding performance and cost Regression analysis of time as function of no. of charts and demand Non linear relationship observed, used as input for Optimization model
Capacity planning system providing labour and equipment requirementHelped in making staffing and outsourcing decisions early, forecast of workload
Scheduler
LP model to minimize cost (labour, overtime etc.) of making weekly revisionDetermine optimal way to produce coverages (POD, outsource, manual etc.)250,000 variables, 40,000 - 1,00,000 constraintsParts solved individually and combined to get solutionEstablished 100% on time revision record
Interactive plating tool
Input from scheduler, used for assigning charts to printing platesOne chart can use multiple slots on one plate or slots on multiple platesCreation of algorithm based on rules by JeppesenNonlinear mixed integer problem
New Order model
Improved on time rate of new ordersConsiders outstanding orders, 2 weeks planing, completion time, production capacity,
shipping requirements, and latenessMinimizes cost and penaltyLP model with 14000 variables and 2000 constraintsProvides daily schedule & lists time of day and order must arrive to go out that day
Inventory tool
Used to compute bin stock quantity of charts which are printed in anticipation of new orders
Uncertainties about distribution of demand and the probabilities of revisions affect decisions about bin-stock quantity
Order few - Large fixed cost for new ordersOrder more - Scraping due to early revision