Operations Management: Sustainability and Supply Chain Management (12th Edition)
Operations Management: Sustainability and Supply Chain Management (12th Edition)
12th Edition
ISBN: 9780134130422
Author: Jay Heizer, Barry Render, Chuck Munson
Publisher: PEARSON
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Chapter 15, Problem 2.4VC
Summary Introduction

Case summary:

The case deals about the scheduling process in Company HR. It is one of the largest restaurant in the world that contains 1,100 seats and 160 servers. Person KH, who is the general manager of Company HR, is more conscious about the scheduling process. He wants their servers to be more effective at the same time he wants the employees to be treated fairly. Considering many factors, they would calculate the number of servers to the fulfil the demand requirement.

To determine: The impact of schedule in productivity.

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Scheduling at Hard Rock Café Whether it's scheduling nurses at Mayo Clinic, pilots at Southwest Airlines, classrooms at UCLA, or servers at a Hard Rock Cafe, it's clear that good scheduling is important. Proper schedules use an organization's assets (1) more effectively, by serving customers promptly, and (2) more efficiently, by lowering costs. Hard Rock Cafe at Universal Studios, Orlando, is the world's largest restaurant, with 1,100 seats on two main levels. With typical turnover of employees in the restaurant industry at 80% to 100% per year, Hard Rock General Manager Ken Hoffman takes scheduling very seriously. Hoffman wants his 160 servers to be effective, but he also wants to treat them fairly. He has done so with scheduling software and flexibility that has in- creased productivity while contributing to turnover that is half the industry average. His goal is to find the fine balance that gives employees financially productive daily work shifts while setting the schedule tight…
How can the success of scheduling system be measured?
5.18 Back schedule the following shop order. All times are given in days. Move time between operations is 1 day, and wait time is 1 day. Due date is day 200. Assume orders start at the beginning of a day and finish at the end of a day. Operation Number 10 20 30 Work Center Operation Time (days) 110 120 130 Stores 3 5 3 Queue Time (days) 2 3 2 Arrival Date (A.M.) 200 Finish Date (P.M.)
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