Simultaneous production scheduling and transportation optimization from mines to port under uncertain material supply

Planning and production control are important factors to determine the efficiency derived through proper managementof raw material supply of fresh fruits, production planning and master production schedule. This research aimed to developthe aggregate production planning model, and master production schedule model for juice production from fresh fruit, while also considered the perishability of the fresh fruit. There were several methods applied in the works, namely autoregressive integrated moving average (ARIMA) for forecasting of raw material product sale, mathematical model for raw material supply, linear programming for production planning and prospective production scheduling to develop master production schedule. This research developed software for decision support system called RP_JUS. The results showed that all raw material damage was distributed exponentially. Decision Support Model of Production Schedule for Fresh Fruit Juice can be applied to the processing indudtries that use fresh fruit.

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Exploring a Mulitcriteria Approach to Production Scheduling

Journal of the Operational Research Society ◽

10.1057/palgrave.jors.0470114 ◽

1996 ◽

Vol 47 (1) ◽

pp. 162-174

Author(s):

Valerie Belton ◽

Mark D Elder

Keyword(s):

Production Scheduling

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Simultaneous production of α-amylase, β-glucanase and proteolytic enzymes byBacillus subtilis

Journal of Applied Chemistry and Biotechnology ◽

10.1002/jctb.5020240111 ◽

1974 ◽

Vol 24 (1-2) ◽

pp. 93-103 ◽

Cited By ~ 12

Author(s):

Pertti H. Markkanen ◽

Michael J. Bailey

Keyword(s):

Proteolytic Enzymes ◽

Simultaneous Production

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Penjadwalan Produksi Menggunakan Metode Simulated Annealing pada Unit Produksi Daun Pintu di PT. ML

Talenta Conference Series Energy and Engineering (EE) ◽

10.32734/ee.v2i2.445 ◽

2019 ◽

Vol 2 (2) ◽

Author(s):

Rosnani Ginting ◽

Chairul Rahmadsyah Manik

Keyword(s):

Simulated Annealing ◽

Problem Solving ◽

Production Scheduling ◽

Production Control ◽

Delivery Time ◽

Production Schedule ◽

A Company ◽

Predetermined Time ◽

Factory Floor

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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Automation of Process Control in Chemical Plant

ACMIT Proceedings ◽

10.33555/acmit.v2i1.3 ◽

2015 ◽

Vol 2 (1) ◽

pp. 6-12

Author(s):

Agus Sugiarta ◽

Houtman P. Siregar ◽

Dedy Loebis

Keyword(s):

Process Control ◽

Pid Control ◽

Control Algorithm ◽

Chemical Engineering ◽

Chemical Plant ◽

Raw Material ◽

Flow Rates ◽

Material Supply ◽

Wide Range ◽

Inherent Problem

Automation of process control in chemical plant is an inspiring application field of mechatronicengineering. In order to understand the complexity of the automation and its application requireknowledges of chemical engineering, mechatronic and other numerous interconnected studies.The background of this paper is an inherent problem of overheating due to lack of level controlsystem. The objective of this research is to control the dynamic process of desired level more tightlywhich is able to stabilize raw material supply into the chemical plant system.The chemical plant is operated within a wide range of feed compositions and flow rates whichmake the process control become difficult. This research uses modelling for efficiency reason andanalyzes the model by PID control algorithm along with its simulations by using Matlab.

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