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Scenario2 in TAB.2 and FIG.3 Shows the number of workers at the time of docking and the effect of making time in dock shorter.

 

By transferring maintenance and repair activities to OBM, activities at the rush hour of docking will be effectively removed. Thus, it is possible to reduce more time in dry dock. Total number of dry dock activities except for engine division is 147, whereas there are 16 activities which can be transferred to 0BM. Then, those activities were excluded as vayage repairs at the time of docking, and cost performance was again measured by making the time in dock shorter. As a result, the time in dock became 183 hours, with 205 dock workers when activities on CP is all slow moving works. If those activities are switched to 'fast moving' activities, the time in dock will be 110 hours, with 255 workers. Th status is shown in Senario 3 inFIG.4.

 

TAB. 2 shows that the required working force which corresponds to the same activity hours in order to compare 3 Scenarios. If 0BM activity was strengthened, docking activity (Scenario 1) which required 186 hours with 235 workers became an identical activity of 116 hours with roughly same number of workers. It became 116 hours with 254 workers in dry dock even in Scenario 2. A machine, equipment, technicians, workers of the repair shop need to be assigned to individual activity.

 

TAB.2 Time in Dry Dock (in hours)

vs. number of workers

time in dock

Scenario1

Scenario2

Scenario3

HRS

persons

persons

persons

116

293

254

238

126

264

247

228

136

254

241

221

146

248

238

216

156

243

235

212

166

240

235

209

176

237

235

207

FIG.5 Typical curve of logistics work loads (Blanchard, 1978)

 

3. AN ANALYSIS OF SERVICE PERSONNEL REQUIRED

 

In previous chapter we discussed the importance of maintenance program, especially on board maintenance. Ship's captain want to have more service personnel, while management of the steamship company wants to decrease ship's operating cost. Here, the discrepancy occurs between management and ship masters. In order to lead the problem to a solution, we analyzed ship's record of failures to survey maintenance workloads.

 

The objective of the analysis is quantitative evaluation of failure rate and repair rate. The data are indispensable for the simulation research of Operation and maintenance mode for ship type. Constructing a simulation model requires a lot of data such as failure rate and repair rate. In place of conventional failure rate (MTBF), one of the authors, Hashimoto has proposed an integrated criterion to evaluate machinery reliability (Hashimoto, 1979).

 

Three indices are failure incidence, average maintenance man-hour, and crew utilization. Failure incidence λ (events/1000 hours) expresses events/(1000 hours of operation) and is equal to the reciprocal of MTBF. Here, operating hour is the sum of time at sea and time in port. Average maintenance man-hour mh (MH/event) is the total maintenance man-hours plus the total operating hours devided by the number of events. In other words, it is the average maintenance man-hour per event. Crew utilization, MI (MH/1000hrs) is

 

 

 

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