Layout Optimization of a Production Cell

Zupan, Hugo; Herakovič, Niko; Žerovnik, Janez; Berlec, Tomaž

doi:10.2507/ijsimm16(4)4.396

Cited by 19 publications

(11 citation statements)

References 24 publications

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“…Therefore, this article will not focus on how to share private stations, but instead emphasis on those shared charging stations provided by companies. There are still problems existing in the sharing charging stations business: the area with high demand cannot provide enough stations while there are plenty of stations left idle in remote areas with less demand, optimization should be determined on the basis of the intensity (Zupan et al, 2017). The core of the problem is the imbalance of demand and supply .…”

Section: Literature Reviewmentioning

confidence: 99%

Solving Location Problem for Electric Vehicle Charging Stations—A Sharing Charging Model

et al. 2019

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Sharing charging stations are an effective solution for daily usage of electric vehicles charging, however, the area with high demand cannot provide enough stations while there are plenty of stations left idle in remote areas with less demand. The core of the problem is the imbalance of demand and supply. In other word, we need to allocate the charging station to the appropriate locations to balance demand and supply. This study aims to solve the problem of locating charging stations for public electric vehicles (PUEVs), to improve the sharing charging level. We take into consideration the factors affecting charging station locations including mileage, PUEV distribution and passenger distribution. A Non-deterministic Polynomial (NP) model aiming to minimize the total vehicle service distance is developed. We use an agent-based model to simulate the optimized charging station location based on Anylogic. Through a case study of Beijing, we test the model in five situations. This paper concludes that priority, mileage, PUEV distribution and passenger distribution are the key factors affecting the location of PUEV charging stations, with exogenous variables such as the type of circuit and the voltage drawn as constants. The results of one situation show that the existing layout of the charging stations is unreasonable when charging frequency is sharply variant; this paper optimizes the existing location by improving the constraint for the smallest number of charging stations; the proposed model can be used for EV charging stations' location in densely populated metropolis.INDEX TERMS Agent, charging frequency, sharing charging, electric vehicles, location.

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Section: Literature Reviewmentioning

confidence: 99%

Solving Location Problem for Electric Vehicle Charging Stations—A Sharing Charging Model

et al. 2019

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“…Evaluasi akan menghasilkan layout fasilitas produksi alternatif yang optimal. Fasilitas layout ini akan membentuk aliran prduksi yang terbentuk dari setiap bagian dan peralatan komponen yang dibutuhkan saat produksi (Zupan et al 2017).…”

Section: Abstrakunclassified

“…Kebutuhan modifikasi ini disebabkan oleh beberapa faktor, yaitu: (Haming dan Nurnajamuddin, 2014) a) terjadinya perubahan desain produk secara terus-menerus; b) adanya perubahan permintaan; c) kemungkinan penggantian fasilitas agar selalu baru; d) adanya penambahan produk baru; e) adanya kondisi lingkungan kerja yang tidak memuaskan; f) risiko kecelakaan kerja dalam proses produksi; g) kebutuhan akan penghematan biaya; h) mendukung pergeseran/perluasan lokasi pasar produk perusahaan Perencanaan layout pabrik merupakan pemilihan secara optimum penempatan mesin-mesin peralatan pabrik, tempat kerja, tempat penyimpanan dan fasilitas servis, bersama-sama dengan penentuan bentuk gedung pabriknya (Prasetya & Lukiastuti, 2011). Melakukan perencanaan tata letak akan mengidentifikasi dan mengalisis setiap aliran material dalam produksi (Zupan et al, 2017). Terdapat berbagai tipe aliran material yang memungkinkan pada saat produksi, mulai dengan aliran material yang panjang dan aliran material pendek yang keduanya dapat dilakukan untuk proses selama produksi (Karim & Biswas, 2015;Yu et al 2013).…”

Section: Abstrakunclassified

Analisis Peta Aliran Proses Pada Industri Keramik Plered Purwakarta, Indonesia

Rahardja¹,

Arifianti²

2020

adbispreneur

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Plered Ceramics is a business in processing clay, whose products can be used as household appliances and decoration. In its development the SME industry can export. Achievement to make products that are acceptable and in accordance with the wishes of consumers has been increasingly recognized by businesses. There fore we need a process flow that can support the smooth production process to fulfill orders. This study aims to analyze the production process flow map in the ceramics industry Plered Purwakarta from the perspective of layout theory. The method used is a qualitative method of study of motion and time.Based on the results of research on designing process flow maps related to the machine is better and more profitable for craftsmen because it takes a shorter time. However, its use is experiencing obstacles due to lack of skills in operating the machine in ceramic processing.Keramik Plered merupakan usaha dalam pengolahan tanah liat, yang produknya dapat digunakan sebagai alat rumah tangga dan hiasan. Dalam perkembangannya industri UKM ini dapat melakukan ekspor. Pencapaian untuk membuat produk yang dapat diterima dan sesuai keinginan konsumen sudah semakin disadari oleh para pelaku usaha. Oleh karena itu diperlukan adanya aliran proses yang dapat menunjang kelancaran proses produksi untuk memenuhi pesanan. Penelitian ini bertujuan untuk menganalisis peta aliran proses produksi pada industri keramik Plered Purwakarta dari perspektif teori tata letak. Metode yang digunakan adalah metode kualitatif studi gerak dan waktu.Berdasarkan hasil penelitian perancangan peta aliran proses yang berkaitan dengan mesin lebih baik dan lebih menguntungkan bagi para pengrajin karena memakan waktu yang lebih singkat. Namun dalam penggunaannya mengalami hambatan karena kurangnya ketrampilan dalam pengoperasian mesin dalam pengolahan keramik.

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“…This calls for improvement of the standard PSO. In 1997, Kennedy and Eberhart proposed the BPSO based on the discrete search space, which works well in solving discrete combinatory optimization problems [12][13][14].…”

Section: Improved Pso (Mpso)mentioning

confidence: 99%

Modified Binary Particle Swarm Optimization Algorithm in Lot-Splitting Scheduling Involving Multiple Techniques

Zhang¹,

Ye²,

Yang³

et al. 2018

Int. j. simul. model.

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This paper aims to strike a balance between cost, time and quality of multi-technique, multi-process flexible job-shop scheduling problem (FJSP) and thus improve the overall performance of the FJSP model. For this purpose, a bi-objective planning model was established for multi-technique, multiprocess FJSP according to the multi-objective planning method in operational theory. Then, the structure of solution was designed for the established model, and the binary particle swarm optimization (BPSO) algorithm was modified to simulate the proposed method. Through the simulation, the following conclusions were put forward: (1) The established bi-objective planning model for multi-technique, multi-process FJSP meet the general requirements of manufacturing enterprises, laying the basis for further modification and derivation; (2) The modified BPSO (MBPSO) algorithm can solve the said model in a stable, fast and accurate manner. The research findings shed theoretical new light on the solution and application of real-world multi-technique, multi-process FJSP and provide practical guidance for the flow shop enterprises to improve their scheduling plans.

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Layout Optimization of a Production Cell

Cited by 19 publications

References 24 publications

Solving Location Problem for Electric Vehicle Charging Stations—A Sharing Charging Model

Solving Location Problem for Electric Vehicle Charging Stations—A Sharing Charging Model

Analisis Peta Aliran Proses Pada Industri Keramik Plered Purwakarta, Indonesia

Modified Binary Particle Swarm Optimization Algorithm in Lot-Splitting Scheduling Involving Multiple Techniques

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