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Journal : JURNAL TEKNIK INDUSTRI

PERANCANGAN MODEL PENERIMAAN DAN EVALUASI PESANAN PADA INDUSTRI KEMASAN KARTON YANG BERBASISKAN MAKE TO ORDER Nora Azmi; Irawadi Jamaran; Yandra Arkeman; Djumali Mangunwidjaja
JURNAL TEKNIK INDUSTRI Vol. 2 No. 1 (2012): Volume 2 No 1 Maret 2012
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.928 KB) | DOI: 10.25105/jti.v2i1.7011

Abstract

Nowadays, carton boxes are very popularly used, mostly in food industries, pharmacy and other consumer products. Most carton box industries work base on customer order (Make-to-order company), because most of carton box order are prepared for particular customer. Carton box are not only used for containing and protecting the product, but also functioned to inform the product to the customers. Make-to-order company has a high level of uncertainty such as the type and design of the product, the step of production, production time, cost, equipments and machine. This could create further problems; the overdue of order and completing process, and the acceptability of the product. This research is intended to design an order processing model for the carton box industry to accelerate order receipt process and evaluate the feasibility of the order. This paper focused on two models, those are the order entry model and order evaluation model. In order entry model, product code is given, and calculation model for needed raw material is made by using mathematical formulation. In order evaluation model, expert system and decision tree are used for analyzing the process capability and selecting machinery as well as designing the steps of production.
PENJADWALAN PESANAN MENGGUNAKAN ALGORITMA GENETIKA UNTUK TIPE PRODUKSI HYBRID AND FLEXIBLE FLOWSHOP PADA INDUSTRI KEMASAN KARTON Nora Azmi; Irawadi Jamaran; Yandra Arkeman; Djumali Mangunwidjaja
JURNAL TEKNIK INDUSTRI Vol. 2 No. 2 (2012): Volume 2 No 2 Juli 2012
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (563.61 KB) | DOI: 10.25105/jti.v2i2.7028

Abstract

This research was intended to produce an order (job) scheduling model at Carton Packaging Industries (CPI) that is useful for giving information about the time delivery to customers. The proposed model is quite complicated because of the characteristic of Make to Order (MTO) varies production process greatly between each order. The job’s schedule for CPI is prepared for production process that consists of 5 stages where in each stage uses different type of machinery. Not all jobs can be processed by all machines at a given production stage. Every job flow through 5 stage in the same order, but not all stages have to visited by all jobs. Stages may be skipped for a particular job. This condition makes CPI is classified as Hybrid and flexible flowshop for machine eligibility (HFFME). HFFME is complicated and is difficult to calculate by using conventional heuristic model. This research used genetic algorithm for solving the complex problem of HFFME and the resulting model called the Genetic Algorithm for hybrid and flexible flowshop with machine eligibility (GA-HFFME). This model is developed to minimized makespan, the objective of scheduling. The experiment was conducted towards 11 orders and it was found that the GA-HFFME is effective to solve that problem.