Operations Management Case Analysis - 2 Manzana Insurance (Fruitvale Branch) Group 13: ANALYSIS INTRODUCTION The Fruitvale branch of Manzana Insurance is facing stiff competition and is being severely outperformed by Golden Gate casualty Insurance. On every measure of performance‚ Fruitvale branch seems to be falling apart. Following are the problems faced by Fruitvale branch: 1) Turnaround Time (TAT) is too high TAT‚ or the number of days between the
Premium Insurance Arithmetic mean Capacity utilization
Daily Process Capacity with L = 60 | 960 shirts | Average MLT for the process with current rate of 800 per day -- Minutes | 7056 minutes | Average MLT for the process with current rate of 800 per day -- Days | 14.7 days | Average Labor utilization for the process with current rate of 800/day | 69% (0.69) | ( C ) Mike’s Plan | | Daily Capacity of the new ply machine | 960 shirts | Average MLT for a shirt given 900 shirts per day | 2.2 days | Average Labor Utilization with current
Premium Shirt Capacity utilization
did not meet the intended goals of off-loading patients to NPs and the overall throughput time did not change. 2. Analyze the available MD and NP capacity. How effective is the clinic in matching supply and demand? Table 1 Daily Average: 143 visits MD 8a – 6p (10h) Provider Cycle Time Room Availability Visit Capacity Capacity Utilization 8 rooms 3 / 22 MD’s =13.6% (1-.136) or 86.4% **Estimate of % time all 8 rooms available 19.4 min/visit 8*.136 = 1.088 5*.864 = 4.32 Wt Avg of
Premium Capacity utilization Physician Patient
days per week = 450 beds utilized 450 beds utilized / 630 availble beds = 71.43% The hospital is currently utilizing 71.43% of their beds‚ this is actually an ideal operating point. To increase its rate of utilization might decrease the service quality. 2.) Develop a similar table to show the effects of adding operations on Saturday. (Assume that 30 operations would still be performed each day.) Check-in Day Monday Tuesday
Premium Surgery Hospital Capacity utilization
has 23 players‚ operating 29 units‚ with a total production capacity of 44.8 million tons‚ divided into North and South‚ as follows: North Zone | South Zone | * Punjab and Khyber Pakhtoon Khwa | * Sindh and Baluchistan | * 19 manufacturing units | * 10 manufacturing units | * 80% of rated capacity‚ i.e. 35.9 million tons | * 20% of total rated capacity‚ i.e. 8.9 million tons | The overall capacity utilization of the sector‚ as per FY-10 dispatches is at 76%. The basic
Premium Financial ratio Financial ratios Capacity utilization
of affected passenger can be calculated as follows: (All the data base on my assumption) Number of Buses affected: 100 Capacity of a Double Deck Bus : 120 Average Utilization rate : Peak 90%‚ Off-Peak 30% Operating hours : 0600-2400 hours (Peak: 0700-0900hrs and 1600-1800hrs) Average number of Trips can be operated by a Bus per Day : 18 No. of bus Capacity Utilization Rate (%) Passenger affected per hour Peak 100 120 90 10800 Off-Peak 100 120 30 3600 It is easy to predict that the majority
Free Bus Public transport Capacity utilization
resource silos in all possible production situations. In addition‚ it is also important to increase Vytech’s production capacity to guarantee an accurate response to the growing market demand. The following report contains the necessary information for balancing the silos for Vytech’s current production as well as a comparison of several options for increasing the production capacity. The report answers the following questions concerning silo demand balancing: How should Vytec Corporations hook up
Premium Capacity utilization
000 bbl arrive over the 12-hr period (7 am to 7 pm). This is based on a typical busy day in September. The process is approximately a “continuous flow” type. Wet berries are 75% of all berries. Holding bins 17-24 are dedicated to wet berries. Capacity of the dumpers is 3‚000 bbl / hr (it takes on average 7.5 minutes to dump a truck‚ a truck holds on average 75 bbl so‚ from Little ’s Law‚ each dumper will take 600 bbl/hr). Drivers are paid $10/hr. Rates for other employees are given in the case
Premium Investment Rate of return Capacity utilization
head: ANALYSIS OF MANDEXOR MEMORY CASE STUDY Analysis of Mandexor Memory Case Study-Capacity Planning and Control Alfred Asuah Adongo (13025813) Ghana Institute of Management and Public Administration Professor: Dr. Chris Tabi Amponsah EMBA 665 - Operations and Project Management 6th April 2014 1 Analysis of Mandexor Memory Case Study-Capacity Planning and Control 2 Abstract This paper explains capacity planning and control in the case of Mandexor Memory. Mandexor Memory with its parent
Premium Capacity utilization Management Supply and demand
Executive Shirt Company‚ Inc HBR Case Study Existing Business • Executive Shirt Company (ESC) provides high-quality‚ competitively-priced men’s dress shirts • With the existing production system‚ custom-made shirts demand at least 75% higher price compared to off-the-shelf shirts • Customers are required to wait 6 weeks or longer to receive custom-sized shirts Expansion of Business • General Manager Dwight Collier decided to expand company’s product line • Several retailers expressed enthusiasm
Premium Capacity utilization