MODEL ABC MULTI-CRITERIA INVENTORY CLASSIFICATION (MCIC) MENGGUNAKAN PEMROGRAMAN LINEAR PADA PRODUK KIMIA

Abstract In order to maintain their inventory efficiently, enterprises need to prioritize inventory policies considering multiple criteria. A Multi Criteria Inventory Classification (MCIC) is one of the most effective techniques widely used to classify inventory. In this paper, multiple criteria (annual value, lead time, cost per unit) are considered on ABC inventory classification. The aim of this study is classify products considering those multiple criteria. Multiple criteria ABC Classifications methodology developed by Ramanathan-Model and Ng-Model are used and compared with traditional method. Data are collected from annual chemical product transaction on PT XYZ during 2018. In this paper, linear programming method is used to solve ABC MCIC Model. The result of this study show that 12 items (14%) are identified as Class A, 26 items (30%) as class B and the remaining 48 items (56%) as C Class. In our conclution, we propose inventory policies based on the result of the ABC Models. Keywords: ABC Model; MCIC; Traditional Model; Ramanathan-Model; Ng-Model; Linear Programming; Chemical Product.Abstrak Dalam mengelola persediaan secara efisien, perusahaan perlu menentukan prioritas pengelolaan persediaan dengan mempertimbangkan beberapa kriteria. Klasifikasi ABC Multi Kriteria (MCIC) merupakan model klasifikasi persediaan barang yang umum digunakan oleh perusahaan dalam mengelola persediaan dalam jumlah besar. Penelitian ini menggunakan multi kriteria berupa nilai total produk, lead time dan biaya per unit. Tujuan penelitian adalah mengelompokan jenis/kelas barang sesuai dengan tingkat kepentingan dengan mempertimbangkan multi kriteria. Metode Multi kriteria yang telah dikembangkan oleh Ramanathan-Model dan Ng-Model dibandingkan dengan hasil klasifikasi Single criteria ABC (Traditional model). Data yang digunakan adalah data tahunan transaksi produk kimia PT XYZ di tahun 2018. Penyelesaian model ABC multi kriteria (MCIC) dengan pemrograman linear. Terdapat 86 items produk kimia yang diklasifikasikan dengan hasil klasifikasi A sejumlah 12 item (14%), B sejumlah 26 item (30%) dan item C sejumlah 48 item (56%). Pada penelitan ini juga disampaikan kebijakan inventory masing-masing kelas berdasarkan hasil klasifikasi ABC model yang telah dilakukan.Kata Kunci: Model ABC; MCIC; Model tradisional; Model Ramanathan; Model Ng; Pemrograman Linear; Produk kimia.

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A linear programming method for multiple criteria decision making with probabilistic linguistic information

Information Sciences ◽

10.1016/j.ins.2017.06.035 ◽

2017 ◽

Vol 415-416 ◽

pp. 341-355 ◽

Cited By ~ 88

Author(s):

Huchang Liao ◽

Lisheng Jiang ◽

Zeshui Xu ◽

Jiuping Xu ◽

Francisco Herrera

Keyword(s):

Decision Making ◽

Linear Programming ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Programming Method ◽

Linear Programming Method ◽

Linguistic Information

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A multiple criteria 0-1 linear programming method of project planning and investment decision making

Innovation in Technology Management. The Key to Global Leadership. PICMET '97 ◽

10.1109/picmet.1997.653428 ◽

2002 ◽

Cited By ~ 1

Author(s):

Yanzhang Wang ◽

Shengju Han

Keyword(s):

Decision Making ◽

Linear Programming ◽

Investment Decision ◽

Project Planning ◽

Multiple Criteria ◽

Programming Method ◽

Linear Programming Method ◽

Investment Decision Making

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مهارة الكلام منظور من عملية التعلم والتعليم في جامعة باتوسنجكر الاسلامية الحكومية سومطرى الغربية

Lughawiyah: Journal of Arabic Education and Linguistics ◽

10.31958/lughawiyah.v1i1.1516 ◽

2019 ◽

Vol 1 (1) ◽

Author(s):

Suharmon Suharmon

Keyword(s):

Teaching Strategies ◽

Language Education ◽

Arabic Language ◽

Descriptive Statistics ◽

Quantitative Approach ◽

Motivation To Learn ◽

Education Department ◽

Class A ◽

Class B ◽

Speaking Skill

This research aims to obtain infomation about Arabic learning especially speaking skill in Arabic Language Education Department at IAIN Batusangkar. The research uses a quantitative approach. The instruments to collect the data are test and questionnaire. The data were analyzed using descriptive statistics. The results of the research state that the students’ speaking ability at class “ A “ are 28% low, 36% moderate, and 36% high. While, at class “B”, students’ speaking abilities are 36.4% low, 40,9% moderate, and 22.7% high. The cause of students’ low ability is the unappropriateness of teachers’ strategy in teaching speaking. There are about 96% students at class “A” agreed and 86.4% students at class “B” had similar answer. Another cause is students’ low motivation in learning. Class “A” students agreed for about 76% of them and 77% of class “B” students answered the same. From the finding, it can be concluded that the inability of students to speak Arabic can be overcomed by improving teaching strategies and encouraging maximum motivation to learn Arabic.

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Multi-Objective Fuzzy Linear Programming for Land Allocation under Different Crops in Bhagwanpur Distributary

Journal of AgriSearch ◽

10.21921/jas.v6i04.16902 ◽

2019 ◽

Vol 6 (04) ◽

Author(s):

ASHUTOSH UPADHYAYA

Keyword(s):

Linear Programming ◽

Crop Production ◽

Fuzzy Linear Programming ◽

Programming Method ◽

Command Area ◽

Linear Programming Method ◽

Net Return ◽

Multi Objective ◽

Labour Requirement ◽

Canal Command Area

A study was undertaken in Bhagwanpur distributary of Vaishali Branch Canal in Gandak Canal Command Area, Bihar to optimally allocate land area under different crops (rice and maize in kharif, wheat, lentil, potato in rabi and green gram in summer) in such a manner that maximizes net return, maximizes crop production and minimizes labour requirement employing simplex linear programming method and Multi-Objective Fuzzy Linear Programming (MOFLP) method. Maximum net return, maximum agricultural production, and minimum labour required under defined constraints (including 10% affinity level of farmers to rice and wheat crops) as obtained employing Simplex method were ` 3.7 × 108, 5.06 × 107 Kg and 66,092 man-days, respectively, whereas Multi-Objective Fuzzy Linear Programming (MOFLP) method yielded compromised solution with net return, crop production and labour required as ` 2.4 × 108, 3.3 × 107Kg and 1,79,313 man-days, respectively. As the affinity level of farmers to rice and wheat crops increased from 10% to 40%, maximum net return and maximum production as obtained from simplex linear programming method and MOFLP followed a decreasing trend and minimum labour required followed an increasing trend. MOFLP may be considered as one of the best capable ways of providing a compromised solution, which can fulfill all the objectives at a time.

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Some kinematics of halo coronal mass ejections

Open Astronomy ◽

10.1515/astro-2020-0010 ◽

2020 ◽

Vol 29 (1) ◽

pp. 81-88

Author(s):

Virendra Kumar Verma ◽

Nishant Mittal ◽

Ramesh Chandra

Keyword(s):

Coronal Mass Ejections ◽

Solar Flares ◽

Coronal Holes ◽

Geomagnetic Disturbances ◽

Class A ◽

Heliospheric Physics ◽

Class B ◽

The Mean ◽

Class C

AbstractWe present an investigation of halo coronal mass ejections (HCMEs) kinematics and other facts about the HCMEs. The study of HCMEs is very important because HCMEs are regarded as the main causes of heliospheric and geomagnetic disturbances. In this study, we have investigated 313 HCMEs observed during 1996-2012 by LASCO, coronal holes, and solar flares. We find that HCMEs are of two types: accelerated HCMEs and decelerated HCMEs. The mean space speed of HCMEs is 1283 km/s while the mean speed of decelerated HCMEs and accelerated HCMEs is 1349 km/s and 1174 km/s, respectively. The investigation shows that 1 (0.3%) HCME was associated with class A SXR, 14 (4.7%) HCMEs were associated with class B SXR-flares, 87 (29.4%) HCMEs were associated with class C SXR-flares, 125 (42.2%) HCMEs were associated with class M SXR-flares and 69 (23.3%) HCMEs were associated with class X SXR-flares. The speed of HCMEs increases with the importance of solar SXR-flares. The various results obtained in the present analysis are discussed in the light of the existing scenario of heliospheric physics.

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SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-020-01334-4 ◽

2020 ◽

Vol 20 (S11) ◽

Author(s):

Gaurav Rao ◽

Salimur Choudhury ◽

Pawan Lingras ◽

David Savage ◽

Vijay Mago

Keyword(s):

Cardiac Arrest ◽

Linear Programming ◽

Integer Linear Programming ◽

Processing Time ◽

Emergency Services ◽

Linear Programming Method ◽

Bipartite Matching ◽

Matching Algorithm ◽

Hospital Cardiac Arrest ◽

Cardiac Emergency

Abstract Background When an Out-of-Hospital Cardiac Arrest (OHCA) incident is reported to emergency services, the 911 agent dispatches Emergency Medical Services to the location and activates responder network system (RNS), if the option is available. The RNS notifies all the registered users in the vicinity of the cardiac arrest patient by sending alerts to their mobile devices, which contains the location of the emergency. The main objective of this research is to find the best match between the user who could support the OHCA patient. Methods For performing matching among the user and the AEDs, we used Bipartite Matching and Integer Linear Programming. However, these approaches take a longer processing time; therefore, a new method Preprocessed Integer Linear Programming is proposed that solves the problem faster than the other two techniques. Results The average processing time for the experimentation data was 1850 s using Bipartite matching, 32 s using the Integer Linear Programming and 2 s when using the Preprocessed Integer Linear Programming method. The proposed algorithm performs matching among users and AEDs faster than the existing matching algorithm and thus allowing it to be used in the real world. Conclusion: This research proposes an efficient algorithm that will allow matching of users with AED in real-time during cardiac emergency. Implementation of this system can help in reducing the time to resuscitate the patient.

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Design and Validation of an Adjustable Large-Scale Solar Simulator

Applied Sciences ◽

10.3390/app11041964 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1964

Author(s):

Daniele Colarossi ◽

Eleonora Tagliolini ◽

Paolo Principi ◽

Roberto Fioretti

Keyword(s):

Large Scale ◽

Design Procedure ◽

Spatial Arrangement ◽

Luminous Flux ◽

International Electrotechnical Commission ◽

Solar Simulator ◽

Class A ◽

Pv Panel ◽

Temporal Instability ◽

Class B

This work presents an adjustable large-scale solar simulator based on metal halide lamps. The design procedure is described with regards to the construction and spatial arrangement of the lamps and the designed optical system. Rotation and translation of the lamp array allow setting the direction and the intensity of the luminous flux on the horizontal plane. To validate the built model, irradiance nonuniformity and temporal instability tests were carried out assigning Class A, B, or C for each test, according to the International Electrotechnical Commission (IEC) standards requirements. The simulator meets the Class C standards on a 200 × 90 cm test plane, Class B on 170 × 80 cm, and Class A on 80 × 40 cm. The temporal instability returns Class A results for all the measured points. Lastly, a PV panel is characterized by tracing the I–V curve under simulated radiation, under outdoor natural sunlight, and with a numerical method. The results show a good approximation.

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Image data of crumb structure of bread from flour of czech spring wheat cultivars

Czech Journal of Food Sciences ◽

10.17221/3417-cjfs ◽

2011 ◽

Vol 22 (No. 4) ◽

pp. 133-142 ◽

Cited By ~ 13

Author(s):

I. Švec ◽

M. Hrušková

Keyword(s):

Image Analysis ◽

Image Data ◽

Analysis Data ◽

Wheat Cultivars ◽

Rheological Measurements ◽

Class A ◽

Bread Volume ◽

Class B ◽

Crumb Structure

Abstract: Baking quality of flour from six wheat cultivars (harvest 2002 and 2003), belonging to the quality classes A and B, was evaluated using the fermented dough test. Analytical traits of kernel and flour showed differences between the classes which were confirmed by the baking test with the full-bread-formula according to Czech method. In addition to standard methods of the bread parameters description (specific bread volume and bread shape measurements) rheological measurements of penetrometer and image analysis were used in effort to differentiate wheat samples into the quality classes. The results of the baking test proved significant differences in specific bread volumes – the highest volume in class A was obtained with the cultivar Vinjet and in class B with SG-S1098 – approx. 410 and 420 ml/100 g. Although significant correlations among image analysis data and specific bread volume having been proved, any image analysis parameter did not distinguish the quality classes. Only the penetronetric measurements made with bread crumb were suitable for such purpose (r = 0.9083; for  = 0.01). Among image analysis data the total cell area of the crumb had the strongest correlation with specific bread volume (r = 0.7840; for α = 0.01).    

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