Yield Management (OM) Introduction Ing.J.Skorkovský, CSc, Department of Corporate Economy FACULTY OF ECONOMICS AND ADMINISTRATION Masaryk University Brno Czech Republic Some OM methods •Theory of Constraints •Balanced Scorecard •Project Management methods (Critical Chain, SCRUM,…) •Material Requirement Planning and Just-in-Time •Advanced Planning and Scheduling •Six Sigma – quality management •Boston, SWOT and Magic Quadrant Matrices •Little ´s Law (relations between WIP, Throughput and Cycle time) •Linear programming •Yield Management •Kepner-Tregoe (support of decision making)-will be presented • • Project management Theory of constraints Production Critical chain Drum –Buffer-Rope MRP-MRP-II,JIT,APS Linear programming Cutting, blending Total quality management Pareto, ishikawa Product postitioning Little´s law Boston Matrix Gartner QM Workflow CONWIP Logistics EOQ Decision Making Kepner-Tregoe Hurwitz Business Intelligence Yield management Prospect Theory Another point of view ABC Pareto, Ishikawa Six Sigma Product Life Cycle LEAN Function block Logistic more in detail will be presented later in this show SCRUM Used abbreviations : QM– Quadrant Matrix; CONWIP – Constant Work in Progress; EOQ – Economic Order Quantity ; MRP - Material Requirement Planning This will be modified in following South African project show (use of Balanced Score Card) Yield Management (YM)-definition •YM seeks to maximize yield or profit from time-sensitive products and services. •Used in industries with flexible and expensive capacities, perishable products and uncertain demand. It is part of revenue management. •Type of problems : – overbooking (airlines, hotel industry,..) – partitioning demand into fare classes – single order quantities – YIELD : to produce or furnish (payment, profit, or interest): a trust fund that yields ten percent interest annually; That investment will yield a handsome return. •Simply put, the purpose of Yield Management is to achieve maximum revenue/profit. • •To do this, a yield management strategy needs to be both reflective and forward-looking. That is, yield managers should attain a clear yet detailed understanding of what has happened before, and what is happening now. • •The most efficient way to do this is to draw from historical data to predict what may then happen in the future. So, the process of effective yield management involves understanding, anticipating and reacting to consumer behavior (to ultimately maximize revenue!). Yield Management (YM)-definition Single Order Quantity Newsboy problem – see next slide and slide number 11 as well !!! Newsboy problem Often managers have to make decisions about inventory level over a very limited period, This is the case, for example with seasonal goods such as Christmas cards that should satisfy all demand in December, but any cards left in January have almost no value. These single-period decision models are phrased as the Newsboy Problem. For a newsboy who sells papers on a street corner, the demand is uncertain, and the newsboy must decide how many papers to buy from his supplier. If he buys too many papers he is left with unsold papers that have no value at the end of the day. If he buys too few papers he has lost the opportunity of making a higher profit. Prices and demand •Prices can be determined by: –Service –Group of services –Market (consumer type or geographical area) or –A combination of the above • •And the demand side is characterized with: – Variability of demand – Variability of value • Overbooking (hotels, airlines,..) Výsledek obrázku pro airbus a380 seats plan 10%-30 % of no-show (traveler reserved ticket, but cancel it at the last minute) So airline companies overbook their capacities. The no-show ratio is sometimes lower than overbooking ratio, so „bumped“ client will be compensated by providing the free of charge service at another time or place. They are so called „offloaded“ to other routes. Example: 311 economy seats, estimation of 10 % no-show-> 31 places would be lost (only 280 seats occupied). If overbooked by 10 % (31 more tickets offered) and no-show ratio on reality is only 7 %->only 22 clients cancelled - > 311-22=289 free seats->289 + 31=320->320-311=9 clients have to be „bumped“ and provided by free air tickets, which is better than the loss of not sold 31 places. You have to calculate loss of 31 places -22 sold tickets =amount which must cover expenses fo 9 bumped clients Ovebooking<->No-show Full aircraft No-show NS OB Overbooked No-show Overbooked B = bumped client Planned Planned Reality Final status NS = no show passangers Overbooked OB B B OB = overbooked passangers Cost of B < Cost of NS Overbooking - claims •Do not settle! Instead get up to €600 +hotel +meals +expenses +new ticket !! • Delta Air Lines has increased the amounts passengers can be offered to give up their seats to up to almost US$10,000 in extreme cases — something passengers can take advantage of if they act in collusion (secret deal). Single order quantities •Newspapers •Magazines •Florists •Bakeries •Fresh fishes Single order quantities •N = number of items that can be sold •X = number of items ordered •C0 = Cost of overestimating demand (rest of the flowers faded and are not sold) •Cu = Cost of underestimating demand (customers like to buy more and you do not have enough of roses) •Cu>= C0 •P(N=N)= probability of underestimating demand or no-show • • P(X>=N)*Cu >= P(N=N) + P(N P(X>=N) = 1-P(X= P(N OPTIMUM PROBABILITY • • Cu • P(NSingle Order Quantity (hotel industry) •Manager Simon Stein of the Best Western in Las Vegas is tired of customers who make reservation and do not show up. Rooms rent is 100 USD a nigh and cost 25 USD to maintain •per day. Overflow („bumped“) customers can be sent to Motel 7 for 70 USD a night. •Simon´s records of no-show over past six months are given below. Should Best Western start overbooking If so, how many rooms should be overbooked? No-Show Probability 0 0,15 1 0,25 2 0,30 3 0,30 Solution : C0 = 70 USD - cost of overestimating demand Cu = 100 USD-25 USD =75 USD - cost of underestimating demand Cu P(N0,517 Optimal probability of no-show falls between 0,40 and 0,70. So if we take less of equal to 0,517, so next lower value is 0,40. So two rooms have to be overbooked !!! 0,15+0,25=0,40 and 0,40+0,30=0,70… Example ->Single Order Quantity ( Airlines ) •FlyUS Airlines is unhappy with the number of empty seats (same with hotel rooms) on its NY-Miami flights. To remedy the problem, the airline is offering a special discounted rate of 89 USD instead of standard fare 169 USD, but only for 7-days advance purchases and for a limited number of seats per flight. The aircraft flown from NY to Miami holds max 100 passengers. Last month´s distribution of full-fare passengers is shown below. How many seats FlyUS reserve for full –fare passengers ? • • Aircraft capacity 100 Full fare No-Show Frequency Probability P(N