Caso Bayfield Mud

University of Technology, Jamaica

School of Computing and Information Technology

Introduction to Production and Operations Management (POM3001)

Group Project:

CASE STUDY: BAYFIELD MUD COMPANY

July 2010

Problem Statement

It was highlighted in the case that it was suspected that only occasional reminders were made to double check the bag weight-feeder. If there is significant deviation from 50 pounds, corrective adjustments are made to the weight-release mechanism. To verify this expectation, the quality control staff randomly samples and weighed each hour.

Objective

To identify and document any deviations from the correct weighted total of the bag weight-feeder exceeding 50 pounds.

Introduction

In our evaluation of the Bayfield Mud Company operations we will conduct an analysis of the bag weight problem. We will analyze in our report our findings, which will include the following:

• How did the quality problem at Bayfield occur and who is responsible

• Recommendations on improving or maintaining proper quality control so that this problem will not happen again.

• Any control charts and other data to support your analysis.

This case study was adapted from "Bayfield Mud Company" by Dean Jerry Kindard (Francis Marion College) as written in Render, Barry and Stair, Ralph M. Quantitative Analysis for Management, (7th Ed.). Upper Saddle River, NJ: Prentice-Hall, 2000. July 2010

BAYFIELD MUD COMPANY

In November 2002, John Wells, a customer service representative of Bayfield Mud Company, was summoned to the Houston warehouse of wet land Drilling, Inc., to inspect three boxcars of mud-treating agents that Bayfield Mud Company had shipped to the Houston firm. (Bayfield’s Corporate Offices and its largest plant are located in orange, Texas, which is just west of the Louisiana-Texas border.) Wet-land Drilling had filed a complaint that the 50 Pound bags of treating agents that it had just received from Bayfield were short-weight by approximately 5%.

The light-weight bags were initially detected by one of Wet-Land’s receiving clerks, who noticed that the rail road side scale tickets indicated that the net weights were significantly less on all three of the boxcars than those of identical shipments received on October 25, 2002. Bayfield’s traffic department was called to determine if lighter-weight dunnage or pallets were used on the shipments. (This might explain the lighter weights.) Bayfield indicated, however, that no changes had been made in the loading or palletizing procedures. Hence, Wet-Land randomly checked 50 of the bags and discovered that the average net weight was 47.51 pounds. They noted from past shipments that the bag net weights averaged exactly 50.0 pounds, with an acceptable standard deviation of 1.2 pounds. Consequently, they concluded that the sample indicated a significance short-weight. (Students may wish to verify this conclusion.) Bayfield, was then contacted, and Wels was sent to investigate the complaint and issued a 5% credit to Wet-Land.

Wet-Land management, however, was not completely satisfied with only the issuance of credit for the short shipment. The charts followed by their mud engineers on the drilling platforms were based on 50-pound bags of treating agents. Lighter-weight bags might result in poor chemical control during the drilling operation and might adversely affect drilling efficiency. (Mud-treating agents are used to control the pH and other chemical properties of the open during drilling operations.) This could cause severe economic consequences because of the extremely high cost of oil and natural gas well-drilling operations. Consequently, special use instructions had to accompany the delivery of these shipments to the drilling platforms. Moreover, the light-weight shipments had to be isolated in Wet-Land’s warehouse, causing extra handling and poor space utilization. Hence, Wells was informed that Wet-Land Drilling might seek e new supplier of mud-treating agents if, in the future, it received bags that deviated significantly from 50 pounds.

The quality control department at Bayfield suspected that the light-weight bags may have resulted from “growing pains” at the orange plant. Because of the earlier energy crises, oil and natural gas exploration activity had greatly increased. This increased activity, in turn, created increased demand for products produced by related industries, including drilling muds. Consequently, Bayfield had to expand from one shift (6 A.M. to 2 P.M.) to a two-shift (2 P.M. to 10 P.M.) operation in mid 2000, and finally to a three-shift operation (24 hours per day) in the fall of 2002.

The additional night shift bagging crew was staffed entirely by new employees. The most experienced foremen were temporarily assigned to supervise the night shift employees. Most emphasis was placed on increasing the output of bags to meet the ever-increasing demand. It was suspected that only occasional reminders were made to double-check the bag weight feeder. (A double check is performed by systematically weighting a bag on a scale to determine if the proper weight is being loaded by the weight-feeder. If there is significant deviation from 50 pounds, corrective adjustments are made to the weight-release mechanism.)

To verify this expectation, the quantity control staff randomly sampled the bag output and prepared the following chart. Six bags were sampled and weighted each hour.

Table 1: Sample Data representing the Bag Output

RANGE

TIME AVERAGE WEIGHT (POUNDS) LOWEST WEIGHT (POUNDS) HIGHEST WEIGHT (POUNDS) RANGE

6:00 AM 49.6 48.7 50.7 2.0

7:00 AM 50.2 49.1 51.2 2.1

8:00 AM 50.6 49.6 51.4 1.8

9:00 AM 50.8 50.2 51.8 1.6

10:00 AM 49.9 49.2 52.3 3.1

11:00 AM 50.3 48.6 51.7 3.1

12:00 PM 48.6 46.2 50.4 4.2

1:00 PM 49.0 46.4 50.0 3.6

2:00 PM 49.0 46.0 50.6 4.6

3:00 PM 49.8 48.2 50.8 2.6

4:00 PM 50.3 49.2 52.7 3.5

5:00 PM 51.4 50.0 55.3 5.3

6:00 PM 51.6 49.2 54.7 5.5

7:00 PM 51.8 50.0 55.6 5.6

8:00 PM 51.0 48.6 53.2 4.6

9:00 PM 50.5 49.4 52.4 3.0

10:00 PM 49.2 46.1 50.7 4.6

11:00 PM 49.0 46.3 50.8 4.5

12:00 AM 48.4 45.4 50.2 4.8

1:00 AM 47.6 44.3 49.7 5.4

2:00 AM 47.4 44.1 49.6 5.5

3:00 AM 48.2 45.2 49.0 3.8

4:00 AM 48.0 45.5 49.1 3.6

5:00 AM 48.4 47.1 49.6 2.5

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