Repair-Time Limit Replacement Policies

2013 ◽  
pp. 101-121
Author(s):  
Won Young Yun ◽  
Naoto Kaio
Keyword(s):  
Repair Time ◽  
Time Limit

scholarly journals The optimal repair-time limit replacement policy with imperfect repair: Lorenz transform approach

2003 ◽  
Vol 38 (11-13) ◽  
pp. 1169-1176 ◽  
Author(s):  
Tadashi Dohi ◽  
Akira Ashioka ◽  
Naoto Kaio ◽  
Shunji Osaki
Keyword(s):  
Repair Time ◽  
Time Limit ◽  
Replacement Policy ◽  
Imperfect Repair

KOMPILASI HUKUM ISLAM (KHI) DAN PENDAPAT MADZHAB SYAFI’I TENTANG BATASAN MASA TUNGGU SUAMI/ISTERI MAFQUD

2018 ◽  
Vol 2 (1) ◽  
pp. 129
Author(s):  
Novita Dwi Lestari
Keyword(s):  
Islamic Law ◽  
Time Limit

mafqud is a person who has no news, unknown where it exists, whether alive or dead. Mafqud is one of the reasons for the divorce, which by court verdict contained in article 116 letter b Compilation of Islamic Law (KHI). in addressing mafqud matters KHI provides a limit waiting for 2 years, where as in the school of Shafi'i in qaul jadidnya give time for 90 years, and in his other opinion (qaul qadim) give a time limit for 4 years, then undergo iddah dead for 4 months and 10 days.

Developing Schedule With Linear Programming (Case Study: STTF II Project Komplek Sukamukti Banjaran)

2020 ◽  
Vol 4 (02) ◽  
pp. 34-45
Author(s):  
Naufal Dzikri Afifi ◽  
Ika Arum Puspita ◽  
Mohammad Deni Akbar
Keyword(s):  
Linear Programming ◽  
Objective Function ◽  
Project Scheduling ◽  
Time Limit ◽  
Minimum Time ◽  
Service Cost ◽  
Trade Off ◽  
Overtime Work ◽  
The Cost

Shift to The Front II Komplek Sukamukti Banjaran Project is one of the projects implemented by one of the companies engaged in telecommunications. In its implementation, each project including Shift to The Front II Komplek Sukamukti Banjaran has a time limit specified in the contract. Project scheduling is an important role in predicting both the cost and time in a project. Every project should be able to complete the project before or just in the time specified in the contract. Delay in a project can be anticipated by accelerating the duration of completion by using the crashing method with the application of linear programming. Linear programming will help iteration in the calculation of crashing because if linear programming not used, iteration will be repeated. The objective function in this scheduling is to minimize the cost. This study aims to find a trade-off between the costs and the minimum time expected to complete this project. The acceleration of the duration of this study was carried out using the addition of 4 hours of overtime work, 3 hours of overtime work, 2 hours of overtime work, and 1 hour of overtime work. The normal time for this project is 35 days with a service fee of Rp. 52,335,690. From the results of the crashing analysis, the alternative chosen is to add 1 hour of overtime to 34 days with a total service cost of Rp. 52,375,492. This acceleration will affect the entire project because there are 33 different locations worked on Shift to The Front II and if all these locations can be accelerated then the duration of completion of the entire project will be effective

The Effect of T-Commerce Scarcity Messages and Price Policies on Attitudes and Purchase Intention

2019 ◽  
Vol 118 (1) ◽  
pp. 42-47
Author(s):  
KwangSeok Han
Keyword(s):  
Statistical Analysis ◽  
Purchase Intention ◽  
Time Limit ◽  
Discount Factor ◽  
Limited Time ◽  
Price Discount ◽  
Discount Price ◽  
Strategic Plans ◽  
Factor Design ◽  
The Difference

Background/Objectives: This study investigated differences in the attitude of users according to type of scarcity message and price discount conditions to compose T-commerce sales messages and search for effective strategic plans. Methods/Statistical analysis: This study empirically verifies the difference in promotion attitude and purchase intention between the type of T-Commerce scarcity message (quantity limit message / time limit message) and the price discount policy (price discount / non-discount) message. For this purpose, 2 (scarcity type: limited quantity, limited time) X 2 (with or without price discount: price discount, no price discount) factor design between subjects was used.

Determination of Optimal Reserve between Two Machines in Series with the Repair Time has Change of Distribution after the Truncation Point

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 577-585
Author(s):  
T. Vivekanandan ◽  
S. Sachithanantham
Keyword(s):  
Real Life ◽  
Random Variable ◽  
Repair Time ◽  
Inventory Level ◽  
Optimal Size ◽  
Truncation Point ◽  
In Series ◽  
Optimal Reserve ◽  
Optimal Inventory Level ◽  
Two Machines

In inventory control, suitable models for various real life systems are constructed with the objective of determining the optimal inventory level.  A new type of inventory model using the so-called change of distribution property is analyzed in this paper. There are two machines M1 and M2  in series and the output of M1 is the input of M2. Hence a reserve inventory between M1 and M2 is to be maintained. The method of obtaining the optimal size of reserve inventory, assuming cost of excess inventory, cost of shortage and when the rate of consumption of M2  is a constant, has already been attempted.  In this paper, it is assumed that the repair time of M1  is a random variable and the distribution of the same undergoes a change of distribution  after the truncation point X0 , which is taken to be a random variable.  The optimal size of the reserve inventory is obtained under the above said  assumption . Numerical illustrations are also provided.

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