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Scheduling Flexible Manufacturing System with Stacker Crane Using Coloured Petri Nets Ari Setiawan; Teguh Ersada Natail Sitepu
Jurnal Teknik Industri Vol. 20 No. 2 (2018): December 2018
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1484.83 KB) | DOI: 10.9744/jti.20.2.113-126

Abstract

Scheduling Flexible Manufacturing System (FMS) can increase production speed and accuracy. It because FMS has an ability to process various variety of product at same work station. However, FMS need efficient allocation of resources, for example: allocation of material handling equipment. This paper presents production scheduling FMS modelling to 24 jobs and 4 machines considering stacker crane. Coloured Petri Nets (CP-Nets) is the programming language which used to simulate model because it’s simplicity. This model consists two main model activities. The first one is Physical Activity (PA) which related to every activity that involve physical movement, including stacker crane processes. PA consist five CP-Nets models: loading/unloading station, stacker crane, machine, picking mechanism, and pallet stocker. The second activity is Logical Expression (LE) which related to the rules on how FMS should operate. LE consist three CP-Nets models: machine selection, pick-up request, and stage two procedure.  A simulation and numerical report show utilization level of all machines around 80-84% and stacker crane 8,74%. 
An Integrated Model for Lot Sizing with Supplier Selection Considering Quantity Discounts, Expiry Dates, and Budget Availability Teguh Ersada Natail Sitepu; Andi Cakravastia
International Journal of Supply Chain Management Vol 8, No 3 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

In this paper, a dynamic multi-product multi-period lot sizing with supplier selection problem (DLSSP) with quantity discount, expiry dates, and budget availability is presented. Demand of products for each period are independent and known. The cost consists of ordering, purchasing, transportation, expiry, holding, and interest charge. The objective is to find the optimal order quantity of all items in each period to minimize inventory cost. A mixed integer nonlinear model programming (MINLP) is first developed to model the problem. Since model is hard to solve using exact method, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) is applied, in which design parameters are set using Taguchi method. Computational results demonstrate the applicability of the proposed model and comparing the results show efficiency of both algorithms as well. The results show that, while both algorithms have statistically similar performances, GA is the better algorithm in all problems.
Model Penjadwalan Flexible Manufacturing System dengan Memperhatikan Sistem Penanganan Material Ari Setiawan; Teguh Ersada Natail Sitepu; Malvin Hilmanto
Jurnal Telematika 2018: Industrial Engineering Seminar and Call for Paper (IESC) 2018
Publisher : Institut Teknologi Harapan Bangsa

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Abstract

Material handling systems on FMS (Flexible Manufacturing System) plays an important role in production process, which usually consists of a transportation system or known as a stacker crane which is useful for transportation of materials and inventory systems or known as pallet stocker which is useful for storing raw material, semi-finished goods and finished goods. Material handling systems on FMS must be well managed so that production process can work well, one way to achieve that is by production scheduling. This research will develop FMS scheduling model by considering material handling systems which form of stacker crane and pallet stocker. In this study there are four pieces of CNC machines (Computer Numerical Control) that are identical and arranged in parallel. The CNC machine is used to produce fifteen jobs which has stage-1 and stage-2. The difference between stage-1 and stage-2 is the surface to be processed. This research uses two methods: SPT (Shortest Processing Time) and LPT (Longest Processing Time). Both methods will be compared to obtain the best method between them. This study has a solution that sees the makespan and stacker crane utilization. The result showed that the shortest make-span obtained was 1321,04 minute and and the biggest utility was 4,64%. FMS (Flexible Manufacturing System) menggunakan sistem penanganan material yang berperan penting dalam proses produksi, yang biasanya terdiri dari sistem transportasi atau dikenal dengan stacker crane yang berguna untuk transportasi material dan sistem inventori atau dikenal dengan pallet stocker yang berguna untuk menyimpan raw material, semi finished goods dan finished goods. Sistem penanganan material pada FMS harus dikelola dengan baik supaya proses produksi dapat berjalan dengan lancar. Salah satu cara untuk mencapai hal tersebut adalah dengan sistem penjadwalan produksi. Oleh karena itu penelitian ini akan mengembangkan model penjadwalan FMS dengan memperhatikan sistem penanganan material berupa stacker crane dan pallet stocker. Pada penelitian ini terdapat empat buah mesin CNC (Computer Numerical Control) yang identik dan disusun secara paralel. Mesin CNC tersebut digunakan untuk memproduksi lima belas buah pekerjaan yang akan diproses dalam stage-1 dan stage-2. Perbedaan antara stage-1 dan stage-2 yaitu terletak dari permukaan yang akan diproses. Penelitian ini menggunakan dua metode yaitu SPT (Shortest Processing Time) dan LPT (Longest Processing Time). Kedua metode tersebut akan dibandingkan dengan melihat hasil dari masing-masing metode yang berupa makespan dan utilitas stacker crane. Dari hasil penelitian didapatkan nilai makespan terpendek yaitu 1321,04 menit dan utilitas terbesar yaitu 4,64%.