Optimal sampling policy of multi‐dimensional wiener processes with random delivery time

Penjadwalan merupakan aspek yang sangat penting karena didalamnya terdapat elemen perencanaan dan pengendalian produksi bagi suatu perusahaan yang dapat mengirim barang sesuai dengan waktu yang telah ditentukan, untuk memperoleh waktu total penyelesaian yang minimum. Masalah utama yang dihadapi oleh PT. ML adalah keterlambatan penyelesaian order yang mempengaruhi delivery time ke tangan costumer karena pelaksanaan penjadwalan produksi dilantai pabrik belum menghasilkan makespan yang sesuai dengan order yang ada. Oleh kaena itu dituntut untuk mencari solusi pemecahan masalah optimal dalam penentuan jadwal produksi untuk meminimisasi total waktu penyelessaian (makespan) semua order. Dalam penelitian ini, penjadwalan menggunakan metode Simulated Annealing (SA) diharapkan dapat menghasilkan waktu total penyelesaian lebih cepat dari penjadwalan yang ada pada perusahaan. Scheduling is a very important aspect because in it there are elements of planning and production control for a company that can send goods in accordance with a predetermined time, to obtain a minimum total time of completion. The main problem faced by PT. ML is the delay in completing orders that affect delivery time to customer because the implementation of production scheduling on the factory floor has not produced the makespan that matches the existing order. Therefore, it is required to find optimal problem solving solutions in determining the production schedule to minimize the total time of elimination (makespan) of all orders. In this study, scheduling using the Simulated Annealing (SA) method is expected to produce a total time of completion faster than the existing scheduling in the company.

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IMPLEMENTATION OF 5S IN MANUFACTURING FIRM TO REDUCE DELIVERY TIME OF A PRODUC

10.26488/iej.10.9.68 ◽

2018 ◽

Vol 10 (9) ◽

Author(s):

Sandesh Mali ◽

A S Bhongade

Keyword(s):

Delivery Time ◽

Manufacturing Firm

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The ROLE OF CHINA-PAK ECONOMIC CORRIDOR (CPEC) IN LOGISTIC SYSTEM OF PAKISTAN’S AND CHINA’S

Journal of Management Info ◽

10.31580/jmi.v6i1.469 ◽

2019 ◽

Vol 6 (1) ◽

pp. 48-50

Author(s):

Ikram Uddin

Keyword(s):

Persian Gulf ◽

Lead Time ◽

Fiber Optic ◽

Delivery Time ◽

Fiber Optic Cable ◽

Total Cost ◽

Economic Complexity ◽

Shipping Cost ◽

The Impact

This study will explain the impact of China-Pak Economic Corridor (CPEC) on logistic system of China and Pakistan. This project is estimated investment of US $90 billion, CPEC project is consists of various sub-projects including energy, road, railway and fiber optic cable but major portion will be spent on energy. This project will start from Kashgar port of china to Gwadar port of Pakistan. Transportation is sub-function of logistic that consists of 44% total cost of logistic system and 20% total cost of production of manufacturing and mainly shipping cost and transit/delivery time are critical for logistic system. According to OEC (The Observing Economic Complexity) currently, china is importing crude oil which 13.4% from Persian Gulf. CPEC will china for lead time that will be reduced from 45 days to 10 days and distance from 2500km to 1300km. This new route will help to china for less transit/deliver time and shipping cost in terms of logistic of china. Pakistan’s transportation will also improve through road, railway and fiber optic cabal projects from Karachi-Peshawar it will have speed 160km per hour and with help of pipeline between Gwadar to Nawabshah gas will be transported from Iran. According to (www.cpec.inf.com) Pakistan logistic industry will grow by US $30.77 billion in the end of 2020.

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Designing Optimal Sampling Networks, Fixed and Adaptive for Ocean Forecast Modeling

10.21236/ada613063 ◽

2006 ◽

Author(s):

Paola Rizzoli

Keyword(s):

Optimal Sampling ◽

Forecast Modeling

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The comparison of the diversity of activated sludge plants

Water Science & Technology ◽

10.2166/wst.1998.0585 ◽

1998 ◽

Vol 37 (4-5) ◽

pp. 71-78 ◽

Cited By ~ 16

Author(s):

Thomas P. Curtis ◽

Noel G. Craine

Keyword(s):

Cluster Analysis ◽

Activated Sludge ◽

Treatment Process ◽

Denaturing Gradient Gel Electrophoresis ◽

Optimal Sampling ◽

Bacterial Populations ◽

Large Numbers ◽

Probable Presence ◽

Gradient Gel Electrophoresis ◽

Sampling Regime

The explicit engineering of bacterial populations requires that we know which organisms perform which tasks. The comparison of the bacterial diversity of activated sludge plants may give important information about the functions of different bacteria. This difficult task may be made easier by the use of technologies based on 16S rRNA based techniques. In this study we have used denaturing gradient gel electrophoresis (DGGE) to determine the optimal sampling regime for comparative studies and used cluster analysis to show how plants may be quantitatively compared. We sought evidence of spatial, diurnal and intrasample variation in a number of sites. No evidence for variation was found in the plants studied and we concluded that a single sample of an activated sludge plant was sufficient for a plant to plant comparison. The cluster analysis was able to distinguish between plants, though further work is required to find the most appropriate basis for such comparisons. We found organisms from raw sewage in the mixed liquor samples, these organisms may have no functional significance in the treatment process and thus complicate plant to plant comparisons as will the probable presence of heteroduplex rDNA products. Nevertheless we believe that these drawbacks do not outweigh the advantages of being able to take and compare relatively large numbers of samples.

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