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Improving performance and flexibility and Jeppesen
- 1. IMPROVING PERFORMANCE AND FLEXIBILITY AT THE WORLD'S LEADING AVIATION INFORMATION COMPANY MMS Operations 2016-17 Group 1 Kashyap Salvi (027) Subodh Kadam (051) Parikshit Jagtap (139)
- 2. 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)
- 3. 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
- 4. 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.
- 5. NEW MANUALS
- 7. 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.
- 10. SERVICE PROBLEMS
- 11. Project Description OR tools to improve production planning Strategic 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
- 12. Development of linear program to optimize production of weekly revision Mixed integer programing model to daily optimize completion of new order Stochastic dynamic inventory management model to control disposal of outdated charts Knowledge based heuristic to minimize scrap when making plates
- 13. Models used in decision support tools
- 14. 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 requirement Helped in making staffing and outsourcing decisions early, forecast of workload
- 15. Scheduler LP model to minimize cost (labour, overtime etc.) of making weekly revision Determine optimal way to produce coverages (POD, outsource, manual etc.) 250,000 variables, 40,000 - 1,00,000 constraints Parts solved individually and combined to get solution Established 100% on time revision record
- 16. Interactive plating tool Input from scheduler, used for assigning charts to printing plates One chart can use multiple slots on one plate or slots on multiple plates Creation of algorithm based on rules by Jeppesen Nonlinear mixed integer problem
- 17. New Order model Improved on time rate of new orders Considers outstanding orders, 2 weeks planing, completion time, production capacity, shipping requirements, and lateness Minimizes cost and penalty LP model with 14000 variables and 2000 constraints Provides daily schedule & lists time of day and order must arrive to go out that day
- 18. 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 orders Order more - Scraping due to early revision