PR-C25-SUNARSIH.pdf

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LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING

(BUKTI PROSIDING C-28)

Judul (Artikel) : Expected value based fuzzy programming approach to solve integrated

supplier selection and inventory control problem with fuzzy demand.

Penulis : Sutrisno, Widowati, Sunarsih, Kartono

Jumlah Penulis : 4 orang

Status Pengusul : Penulis pertama/penulis ketiga/penulis korespondensi : penulis pertama/penulis ke …../penulis korespondensi

Identitas Jurnal Ilmiah : a. Nama Prosiding : IOP Conference Series: Materials Science and Engineering, 2018.

b. Nomor ISSN/ISBN : 17578981

c. Volume,nomor, bulan tahun : Volume 300 (2018) 012009. 2018 d. Penerbit : Conferences and Proceedings, United

Kingdom

e. DOI artikel (jika ada) : https://doi.org/10.1088/1757- 899X/300/1/012009

f. Alamat web prosiding :

URL JURNAL : https://iopscience.iop.org/article/10.1088/1757-899X/300/1/012009

URL ARTIKEL : https://iopscience.iop.org/article/10.1088/1757-899X/300/1/012009/pdf Kategori Publikasi Prosiding : ✔ Procedia/Prosiding Internasional Terindeks (beri pada kategori yang tepat) Prosiding Internasional Prosiding Nasional

Hasil Penilaian Peer Review :

Komponen Yang Dinilai

Nilai Reviewer

Nilai Rata- rata Reviewer I Reviewer II

a. Kelengkapan unsur isi prosiding (10%) 2,75 2,26 2,51

b. Ruang lingkup dan kedalaman pembahasan (30%) 7 7,52 7,26

c. Kecukupan dan kemutahiran data/informasi dan metodologi (30%)

7,25 7,52 7.39

d. Kelengkapan unsur dan kualitas penerbit (30%) 8 7,52 7,76

Total = (100%) 25 24,82 24,92

Nilai Pengusul = 40%x1/3 3,3 3,31 3.305

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LEMBAR

Kingdom

Nilai Maksimal Jurnal Ilmiah

Nilai Akhir Yang Diperoleh Procedia

✔

Prosiding Internasional

Prosiding Nasional

a. Kelengkapan unsur isi prosiding (10%) 3,00 2,75

b. Ruang lingkup dan kedalaman pembahasan (30%)

9,00 7

c. Kecukupan dan kemutahiran

data/informasi dan metodologi (30%)

9,00 7,25

d. Kelengkapan unsur dan kualitas terbitan/jurnal (30%)

9,00 8

Total = (100%) ^30,00 25

Nilai Pengusul = 40%x1/3x25 =3,30

Catatan penilaian artikel oleh Reviewer:

a. Penulisan dari setiap subbab sesuai dengan isi artikel.

b. Ruang lingkup baik, pembahasan kurang.

c. Substansi baik kemutakhiran hasil masih kurang.

d. Artikel diterbitkan pada IOP dengan terbitan standart dan baik.

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LEMBAR

Kingdom

Nilai Maksimal Jurnal Ilmiah

Nilai Akhir Yang Diperoleh Procedia

✔

Prosiding Internasional

Prosiding Nasional

a. Kelengkapan unsur isi prosiding (10%) ^3,00 2,26

b. Ruang lingkup dan kedalaman pembahasan (30%)

9,00 7,52

c. Kecukupan dan kemutahiran

data/informasi dan metodologi (30%)

9,00 7,52

d. Kelengkapan unsur dan kualitas terbitan/jurnal (30%)

9,00 7,52

Total = (100%) ^30,00 24,82

Nilai Pengusul = 40%x1/3x24,82 = 3,31 Catatan penilaian artikel oleh Reviewer:

a. Unsur isi paper rosiding di IOP cukup baik.

b. Kedalaman pembahasan, diskusi tentang pendekatan fuzzy baik.

c. Kemutakhiran data yang dibangkitkan cukup baik. Intepretasi hasil U-I perlu untuk diperdalam.

d. Kualitas penerbit baik. Terdapat 2 referensi yang kedaluwarsa dar 13 referensi yang digunakan.

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Document details

25 of 34

Expected value based fuzzy programming approach to solve integrated

supplier selection and inventory control problem with fuzzy demand (Conference Paper) (Open Access)

, , ,

Dept. of Mathematics, Diponegoro University, Jalan Prof. Soedarto, SH., Semarang, 50275, Indonesia

Abstract

In this paper, a mathematical model in quadratic programming with fuzzy parameter is proposed to determine the optimal strategy for integrated inventory control and supplier selection problem with fuzzy demand. To solve the corresponding optimization problem, we use the expected value based fuzzy programming. Numerical examples are performed to evaluate the model. From the results, the optimal amount of each product that have to be purchased from each supplier for each time period and the optimal amount of each product that have to be stored in the inventory for each time period were determined with minimum total cost and the inventory level was suﬃciently closed to the reference level. © Published under licence by IOP Publishing Ltd.

SciVal Topic Prominence

Topic:

Prominence percentile: 99.102

Indexed keywords

Engineering controlled terms:

Fuzzy systems Optimization Quadratic programming

Engineering uncontrolled terms

Fuzzy programming Integrated inventory Inventory control problems Inventory levels Optimal strategies Optimization problems Reference levels Supplier selection

Engineering main heading:

Inventory control

Funding details

Funding text

Authors would like to thank DIPA PNBP FSM UNDIP 2017 for ﬁnancial support to this research. Appendix. Parameter values for numerical examples

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IOP Conference Series: Materials Science and Engineering Volume 300, Issue 1, 15 February 2018, Article number 012009

4th International Conference on Operational Research, InteriOR 2017; Grand Aston City Hall HotelJalan Balai Kota No. 1Medan; Indonesia; 21 August 2017 through 23 August 2017;

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4th International Conference on Operational Research (InteriOR) IOP Publishing IOP Conf. Series: Materials Science and Engineering 300 (2018) 011003 doi:10.1088/1757-899X/300/1/011003

Committee

HONORARY BOARD

Prof. Dr. Runtung Sitepu (Rector, University of Sumatera Utara (USU) Dr. Kerista Sebayang (Dean of Faculty of Mathematics and Natural Science)

INTERNATIONAL BOARD

Prof. Dr. Herman Mawengkang (University of Sumatera Utara, Indonesia) Prof. Gerhard W. Weber (Middle East Technological University, Turkey)

SCIENTIFIC COMMITTEE

Prof. Dr. Abdel Salhi (University of Essex, United Kingdom) Prof. Dr. Erwin Pesch (Universität Siegen, Germany) Prof. Dr. Kok Lay Teo (Curtin University, Australia) Prof. Dr. Masaji Watanabe (Okayama University, Japan) Prof. Dr. Ismail Bin Mohd (Universiti Malaysia Perlis, Malaysia) Prof. Dr. Darwin Sitompul (University of Sumatera Utara, Indonesia) Prof. Dr. Edy Tri Baskoro (Institut Teknologi Bandung, Indonesia) Prof. Dr. Sudrajat Supian (Universitas Padjajaran, Indonesia) Prof. Dr. Agus Suryanto (Brawijaya University, Indonesia) Prof. Dr. Tulus (University of Sumatera Utara, Indonesia)

Prof. Dr. Opim Salim Sitompul (University of Sumatera Utara, Indonesia) Prof. Dr. Marwan Ramli (Syiah Kuala University, Indonesia)

Prof. Dr. Anton Abdulbasah Kamil (Telkom University, Indonesia) Associate Prof. Adam Baharun (Universiti Sains Malaysia, Malaysia) Dr. P. Vasant (University Technology Petronas, Malaysia)

Dr. Elise del Rosario (Operations Research Society, Philippines)

Dr. Mahyuddin K.M. Nasution (University of Sumatera Utara, Indonesia) Dr. Eng. Himsar Ambarita (University of Sumatera Utara, Indonesia)

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6/14/2020 International Conference on Operational Research 2017

https://ocs.usu.ac.id/interiOR/interior2017 1/3

IMPORTANT DATES Registration:

April 01, 2017

Abstracts Submission Deadline:

April 30, 2017 May 30, 2017 June 15, 2017

Notification of Acceptance (Abstracts):

May 31, 2017 June 15, 2017 June 30, 2017

Full Paper Submission Deadline:

June 17, 2017 July 07, 2017 July 15, 2017

Notification of Acceptance (Full Paper):

July 17, 2017 July 31, 2017 August 10, 2017 Conference:

August 21 - 23, 2017

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NOTIFICATIONS

Home > International Conference on Operational Research (interiOR) 2017 > International Conference on Operational Research 2017

International Conference on Operational Research 2017

The Department of Mathematics University of Sumatera Utara is pleased to announce the 4^th International Conference on Operational Research (InteriOR 2017). The InteriOR is held every two years. The first InteriOR was held in 2011.

The InteriOR 2017 will be held at Grand Aston City Hall Hotel, Medan, Indonesia on August 21-23, 2017 with the theme â€œBetter Living With Operation Researchâ€ . The objective of the conference is to provide a forum for researchers, lecturers, educators, students and practitioners in all related disciplines to discuss, share, exchange and to extend their knowledge of new advances on theories and practices in mathematics, particularly in operations research.

KEYNOTE SPEAKERS

Prof. Dr. Gerhard W.

Weber (Middle East Technological University,

Turkey)

Prof. Dr. Abdel Salhi (University of Essex,

United Kingdom)

Prof. Dr. Erwin Pesch (UniversitÃ¤t Siegen,

Germany)

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6/14/2020 International Conference on Operational Research 2017

https://ocs.usu.ac.id/interiOR/interior2017 2/3

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INDEXED BY:

TEMPLATES AND GUIDELINES

ORGANIZER

Department of Mathematics Faculty of Mathematics and

Natural Sciences University of Sumatera Utara Jalan Bioteknologi No. 1, Kampus

USU

Medan, Sumatera Utara - Indonesia

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Prof. Dr. Katsunori Ano (Shibaura Institute of

Technology, Japan)

Prof. Dr. Yong Hong Wu

(Curtin University, Australia)

Dr. Elise del Rosario (Operations Research Society, Philippines)

HONORARY BOARD

Prof. Dr. Runtung Sitepu (Rector, University of Sumatera Utara (USU) Dr. Kerista Sebayang (Dean of Faculty of Mathematics and Natural Science)

INTERNATIONAL BOARD

Prof. Dr. Herman Mawengkang (University of Sumatera Utara, Indonesia) Prof. Gerhard W. Weber (Middle East Technological University, Turkey)

SCIENTIFIC COMMITTEE

Prof. Dr. Abdel Salhi (University of Essex, United Kingdom) Prof. Dr. Erwin Pesch (UniversitÃ¤t Siegen, Germany) Prof. Dr. Kok Lay Teo (Curtin University, Australia) Prof. Dr. Masaji Watanabe (Okayama University, Japan)

Prof. Dr. Ismail Bin Mohd (Universiti Malaysia Perlis, Malaysia) Prof. Dr. Darwin Sitompul (University of Sumatera Utara, Indonesia) Prof. Dr. Edy Tri Baskoro (Institut Teknologi Bandung, Indonesia) Prof. Dr. Sudrajat Supian (Universitas Padjajaran, Indonesia) Prof. Dr. Agus Suryanto (Brawijaya University, Indonesia) Prof. Dr. Tulus (University of Sumatera Utara, Indonesia)

Prof. Dr. Opim Salim Sitompul (University of Sumatera Utara, Indonesia) Prof. Dr. Marwan Ramli (Syiah Kuala University, Indonesia)

Prof. Dr. Anton Abdulbasah Kamil (Telkom University, Indonesia) Associate Prof. Adam Baharun (Universiti Sains Malaysia, Malaysia) Dr. P. Vasant (University Technology Petronas, Malaysia)

Dr. Elise del Rosario (Operations Research Society, Philippines)

Dr. Mahyuddin K.M. Nasution (University of Sumatera Utara, Indonesia) Dr. Eng. Himsar Ambarita (University of Sumatera Utara, Indonesia) Dr. Fahmi F. (University of Sumatera Utara, Indonesia)

Dr. Tulus Ikhsan Nasution (University of Sumatera Utara, Indonesia) Dr. Intan Muchtadi-Alamsyah (Institut Teknologi Bandung, Indonesia) Dr. MDH. Gamal (Universitas Riau, Indonesia)

Dr. Elvina Herawati (University of Sumatera Utara, Indonesia)

ORGANIZING COMMITTEE Chairman: Prof. Dr. Saib Suwilo

Co-chair : Prof. Dr. Herman Mawengkang

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4/20/2020 IOP Conference Series: Materials Science and Engineering, Volume 300, 2018 - IOPscience

https://iopscience.iop.org/issue/1757-899X/300/1 1/14

NOTICE: Ensuring subscriber access to content on IOPscience throughout the coronavirus outbreak - see our remote access guidelines.

Abstract. Quadratic Assignment Problem (QAP) has been a very popular problem to be solved among researchers due to its practical applications. Several variants of QAP have been proposed by researchers in the past in order to reflect the real situations of QAP. One of the real problems of QAP is related with facilities which are required to be assigned to certain locations due to its function. In solving this problem, a fixed assignment has to be made thus allowing for the complexity of the problem to be reduced. Hence, this study introduces Quadratic Assignment Problem with Fixed Assignment (QAPFA) with the objective to minimize the assignment cost between the facility and location. This assignment takes into account the flow and distance between facility and location. QAPFA represents the real-world situation of the problem especially in dealing with specific requirement of some facilities to specific locations. Dataset of QAPFA is introduced and is solved using branch and bound approach. As for validation, the results of QAPFA are compared with QAP in terms of objective function and running time. The computational results show that the solution quality of QAPFA is lower when compared with the QAP, while the running time for QAPFA is lower than the QAP. Since the complexity of the problem is reduced by fixing the assignment, thus there is possibility that QAPFA has lower quality than QAP due to the fixed assignment.

Nevertheless, in terms of running time QAPFA is better than QAP. It can be concluded that this problem reflect the real problem and practical to be used.

1. Introduction

Quadratic Assignment problem (QAP) is an NP-hard problem which has been used in modeling various types of problem such as facility layout [1-3], wiring problem in electronics [4], scheduling [5], transportation [6], computer manufacturing [7, 8] and sports [9]. QAP is defined as a problem of assigning a set of facilities to a set of locations with a flow and distance matrices while minimizing the cost of assignment of each facility to each location. QAP extension has been evolved throughout the years alongside with the research development. Variants of QAP which represent real world

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1

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Routing and Scheduling Optimization Model of Sea Transportation

Mika debora br barus¹, Habib asyrafy², Esther nababan³ and Herman mawengkang⁴

Department of Mathematics, University of Sumatera Utara, Medan, Indonesia.

E-mail: ¹[email protected], ²[email protected], ³[email protected],

4[email protected]

Abstract. This paper examines the routing and scheduling optimization model of sea transportation.

One of the issues discussed is about the transportation of ships carrying crude oil (tankers) which is distributed to many islands. The consideration is the cost of transportation which consists of travel costs and the cost of layover at the port. Crude oil to be distributed consists of several types. This paper develops routing and scheduling model taking into consideration some objective functions and constraints. The formulation of the mathematical model analyzed is to minimize costs based on the total distance visited by the tanker and minimize the cost of the ports. In order for the model of the problem to be more realistic and the cost calculated to be more appropriate then added a parameter that states the multiplier factor of cost increases as the charge of crude oil is ﬁlled.

Keyword: Optimization, Routing and Scheduling, Transportation of crude oil

1. Introduction

The global logistics problem becomes an important issue in increasing the global environments. The integrated optimization of production planning and distribution planning is required from the viewpoint of global supply chain optimization (Nishi, Hiranaka, & Grossmann, 2011; Nishi, Konishi,

& Ago, 2007).

This paper examines the routing and scheduling optimization model of sea transportation. One of the issues discussed is about the transportation of ships carrying crude oil (tankers) which is distributed to many islands. The consideration is the cost of transportation which consists of travel costs and layover costs at the port. Crude oil to be distributed consists of several types.

Scheduling of crude oil transportation is a crucial challenge for petrochemical industries. In a petrochemical company, demands of various types of crude oils are given every month. A fleet of very large crude oil carrier (VLCC) tankers is used for international crude oil transportation. Each tanker can load several items of crude oils with finite capacity. The assignment of demands, visiting sequence of ports, and loading volume of multi items of crude oils should be determined simultaneously to minimize the total cost considering the capacity of tankers.

In many practical situations, these decisions are still made manually by the negotiation between the human operators based on the contract with individual supplier. In order to help the decision making of human operators, it is highly required that the practical ship routing and scheduling can be

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Assessment of Seismic Damage on The Exist Buildings Using Fuzzy Logic

Pınar USTA¹, Nihat MOROVA¹, Ahmet EVCİ ², Serap ERGÜN³

1Suleyman Demirel University, Faculty of Technology, Civil Engineering Department, 32260 Isparta/Turkey

2Afyon Kocatepe University, Faculty of Engineering, Civil Engineering Department, 03200 Afyon/Turkey

3Suleyman Demirel University, Faculty of Technology, Software Engineering Department, 32260 Isparta/Turkey

Email : [email protected]

Abstract. Earthquake as a natural disaster could damage the lives of many people and buildings all over the world. These is micvulnerability of the buildings needs to be evaluated. Accurate evaluation of damage sustained by buildings during natural disaster events is critical to determine the buildings safety and their suitability for future occupancy. The earthquake is one of the disasters that structures face the most. There fore, there is a need to evaluate seismic damage and vulnerability of the buildings to protect them. These days fuzzy systems have been widely used in different fields of science because of its simpli city and efficiency. Fuzzy logic provides a suitable framework for reasoning, deduction, and decision making in fuzzy conditions. In this paper, studies on earthquake hazard evaluation of buildings by fuzzy logic modeling concepts in the literature have been investigated and evaluated, as a whole.

Keywords: Seismic Damage, Earthquake, Historical Buildings, Fuzzy Logic

1. Introduction

Earthquake as a natural disaster could harm the lives of numerous people all over the world. It can impose a hugeeconomical burden on societies, as well. even if earthquake may be unpredictable, proper planning could significantly reduce the damages [1]. Natural disasters such as earthquakes and high winds pose a serious threat to all structures. Recent earthquakes, such as the 1994 Northridge, USA the 1995 Kobe, Japan and the 1999 Kocaeli, Turkey earthquakes caused extensive destructive damage to structures [2]. These earthquake damages in Turkey and all the world take attention for the preserve of the buildings against to earthquake hazard. The earthquake performance evaluation and upgrading of non-standard design existing buildings are among the most significant issues [3]. Especially, Historical buildings preservation, with global respect for cultural heritage, has become a booming trend worldwide due to the emphasis on its benefits, concerning architectural, economic, social, political and spiritual values [4].Exist buildings are vulnerable to earthquakes cause major financial losses and serious disruption on utilities and services for whole community [3-5].Nearly 50 percent of large cities around the world are placed nearby seismic belts.

In developed countries, sensitive technologies used in infrastructural equipment tend to be damaged during earthquakes. However, cities in developing countries are less protected against earthquakes [6]. Global seismic hazard map, All quakes over magnitude 5 since 1973 and Worldwide Earthquakes: 2000 – 2009 are shown Figure 1,2 and 3, respectively.

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PR-C25-SUNARSIH.pdf

Document details

Source details

IOP Conference Series: Materials Science and Engineering

0.53

0.192

0.531

0.53

0.56

Committee

International Conference on Operational Research 2017

Table of contents

Preface



Volume 300 January 2018

Solving Quadratic Assignment Problem with Fixed Assignment (QAPFA) using Branch and Bound Approach

Routing and Scheduling Optimization Model of Sea Transportation

Assessment of Seismic Damage on The Exist Buildings Using Fuzzy Logic