AN EVOLUTIONARY APPROACH TO PROBLEM SOLVING OF PRODUCTION SCHEDULING

2020 ◽  
Author(s):  
Yu. A. Skobtsov ◽  
Keyword(s):  
Problem Solving ◽  
Production Scheduling ◽  
Evolutionary Approach

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

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.

Penjadwalan Mesin dengan Metode Dynamic Programming pada PT.X

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Intan Sari Dewi ◽  
Rosnani Ginting
Keyword(s):  
Dynamic Programming ◽  
Problem Solving ◽  
Data Processing ◽  
Production Process ◽  
Production Scheduling ◽  
Calculated Data ◽  
Production Costs ◽  
Dynamic Programming Method ◽  
Optimal Arrangement ◽  
Future Production

PT. X memiliki masalah pada penjadwalan produksi karena adanya keterlambatan pada mesin-mesin yang akan digunakan pada proses produksi berlangsung. Metode yang digunakan di dalam pemecahan masalah adalah dengan metode Dynamic Programming. Di dalam metode ini semua langkah proses dikatakan sebagai stage dan semua mesin dikatakan sebagai state, di mana semua stage dan state mempunyai hubungan sebagai satu kesatuan. Hasil yang diperoleh dari pengolahan data yang telah diperhitungkan didapatkan berupa urutan mesin-mesin, yaitu mesin meshing, mesin drum rotator, mesin reynold, mesin static oven, mesin fuild bed dryer, dan mesin manesty. Pengolahan data yang digunakan adalah menerapkan proses rekursif mundur, didapatkan hasil yang optimum dari setiap tahap yang dipilih, dengan melihat waktu dari nilai Rt terbesar yang dihemat. Total usulan dari setiap tahap berbeda, hal ini dikarenakan banyaknya jumlah mesin yang diperlukan setiap tahap untuk melakukan proses keempat mesin tersebut. Total Ct yang didapatkan selama keenam proses ialah 1445 menit dengan waktu pengiritan adalah 805 menit. Waktu tersebut adalah waktu yang digunakan untuk penggunaan mengerjakan 1 batch produksi. Penelitian ini bertujuan untuk meghemat waktu perusahaan untuk bisa mengurangi ongkos atau biaya produksi dari mesin dan upah untuk pekerja sehingga direkomendasikan susunan atau urutan mesin yang optimal ini dilaksanakan pada produksi diwaktu yang akan datang.   PT. X has a problem in production scheduling because of the delay in the machines that will be used in the production process. The method used in problem solving is the Dynamic Programming method. In this method all steps of the process are said to be stages and all machines are said to be states, where all stages and states have relationships as a whole. The results obtained from the calculated data processing are obtained in the form of a sequence of machines, namely meshing machines, rotator drum machines, reynold machines, static oven machines, fuild bed dryer machines, and manesty machines. The data processing used is applying the recursive backward process, the optimum results obtained from each selected stage, by looking at the time of the largest Rt value saved. The total proposals from each stage are different, this is due to the large number of machines required for each stage to process the four machines. The total Ct obtained during the six processes is 1445 minutes with the shearing time being 805 minutes. This time is the time used for using 1 batch of production. This research aims to save time for companies to be able to reduce costs or production costs of machines and wages for workers so that the optimal arrangement or sequence of machines is recommended for future production.

Cognitive gadgets: A provocative but flawed manifesto

2019 ◽  
Vol 42 ◽  
Author(s):  
Marco Del Giudice
Keyword(s):  
Theory Of Mind ◽  
Cultural Differences ◽  
Twin Studies ◽  
Cross Cultural ◽  
Evolutionary Approach ◽  
Genetic Inheritance ◽  
Double Standards ◽  
Cross Cultural Differences ◽  
Cherry Picking ◽  
Dichotomous Thinking

Abstract The argument against innatism at the heart of Cognitive Gadgets is provocative but premature, and is vitiated by dichotomous thinking, interpretive double standards, and evidence cherry-picking. I illustrate my criticism by addressing the heritability of imitation and mindreading, the relevance of twin studies, and the meaning of cross-cultural differences in theory of mind development. Reaching an integrative understanding of genetic inheritance, plasticity, and learning is a formidable task that demands a more nuanced evolutionary approach.

An application of the Patient-Oriented Problem-Solving (POPS) System

1991 ◽  
Vol 55 (5) ◽  
pp. 327-331 ◽  
Author(s):  
GT Chiodo ◽  
WW Bullock ◽  
HR Creamer ◽  
DI Rosenstein
Keyword(s):  
Problem Solving

Applying a Self-Regulating Private Speech Model to Classroom Settings

1982 ◽  
Vol 13 (2) ◽  
pp. 129-133
Author(s):  
A. D. Pellegrini
Keyword(s):  
Problem Solving ◽  
Private Speech ◽  
Speech Model

The paper explores the processes by which children use private speech to regulate their behaviors. The first part of the paper explores the ontological development of self-regulating private speech. The theories of Vygotsky and Luria are used to explain this development. The second part of the paper applies these theories to pedagogical settings. The process by which children are exposed to dialogue strategies that help them solve problems is outlined. The strategy has children posing and answering four questions: What is the problem? How will I solve it? Am I using the plan? How did it work? It is argued that this model helps children systematically mediate their problem solving processes.

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