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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.
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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 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;
Code 134563
Sutrisno Widowati Sunarsih Kartono
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Data envelopment analysis | Efficiency | Cross-efficiency evaluation
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Quadratic programming model for optimal decision making of supplier selection problem integrated with inventory control problem
Hakim, D.U.H.E. Sutrisno Widowati
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Expected value analysis for integrated supplier selection and inventory control of multi- product inventory system with fuzzy cost
Sutrisno Widowati Heru Tjahjana, R.
Fuzzy expected value based model to solve integrated supplier selection and inventory control problem in fuzzy environment
Sutrisno Widowati Heru Tjahjana, R.
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IOP Conference Series: Materials Science and Engineering
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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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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
thInternational 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 “Better Living With Operation Research†. 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 (Universität Siegen,
Germany)
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)
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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)
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
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Table of contents
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Preface
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Volume 300 January 2018
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4th International Conference on Operational Research (InteriOR)21–23 August 2017, Medan, Indonesia
Accepted papers received: 10 January 2018 Published online: 15 February 2018
011001
OPEN ACCESS4th International Conference on Operational Research (InteriOR) View article PDF
View abstract
011002
OPEN ACCESS4th International Conference on Operational Research (InteriOR) View article PDF
View abstract
011003
OPEN ACCESS4th International Conference on Operational Research (InteriOR) View article PDF
View abstract
011004
OPEN ACCESSPeer review statement
View article PDF View abstract
4/20/2020 IOP Conference Series: Materials Science and Engineering, Volume 300, 2018 - IOPscience
https://iopscience.iop.org/issue/1757-899X/300/1 3/14
Siti Suaibah Nst, Esther Nababan and Herman Mawengkang View article PDF View abstract
012008
OPEN ACCESSData Envelopment Analysis (DEA) Model in Operation Management Meilisa Malik, Syahril Efendi and Muhammad Zarlis
View article PDF View abstract
012009
OPEN ACCESSExpected value based fuzzy programming approach to solve integrated supplier selection and inventory control problem with fuzzy demand
Sutrisno, Widowati, Sunarsih and Kartono
View article PDF View abstract
012010
OPEN ACCESSThe Analysis of Forward and Backward Dynamic Programming for Multistage Graph Anna Angela Sitinjak, Elvina Pasaribu, Justin E Simarmata, Tedy Putra and Herman Mawengkang
View article PDF View abstract
012011
OPEN ACCESSRouting and Scheduling Optimization Model of Sea Transportation Mika debora br barus, Habib asyrafy, Esther nababan and Herman mawengkang
View article PDF View abstract
012012
OPEN ACCESSMathematical model of parking space unit for triangular parking area
Intan Syahrini, Teti Sundari, Taufiq Iskandar, Vera Halfiani, Said Munzir and Marwan Ramli View article PDF
View abstract
012013
OPEN ACCESSData-driven Modelling for decision making under uncertainty Layla Angria S, Yunita Dwi Sari, Muhammad Zarlis and Tulus
View article PDF View abstract
012014
OPEN ACCESSEstimating Most Productive Scale Size in Data Envelopment Analysis with Integer Value Data
Yunita Dwi Sari, Layla Angria S, Syahril Efendi and Muhammad Zarlis View article PDF
View abstract
1
Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Published under licence by IOP Publishing Ltd
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4th International Conference on Operational Research (InteriOR) IOP Publishing IOP Conf. Series: Materials Science and Engineering 300 (2018) 012002 doi:10.1088/1757-899X/300/1/012002
Solving Quadratic Assignment Problem with Fixed Assignment (QAPFA) using Branch and Bound Approach
Sharifah Shuthairah Syed-Abdullah
1, Syariza Abdul-Rahman
2, Aida Mauziah Benjamin
3, Antoni Wibowo
4, Ku-Ruhana Ku-Mahamud
51,2,3
School of Quantitative Sciences (SQS)
5
School of Computing (SOC)
College of Arts and Sciences Universiti Utara Malaysia 06010 Sintok, Kedah, Malaysia
4
Computer Science Department-Binus Graduate Program Bina Nusantara University
Anggrek Campus Jl. Kebon Jeruk Raya No. 27, Kebon Jeruk, West Jakarta 11530, Indonesia
Corresponding author’s e-mail: s_shuthairah89@yahoo.com
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
1
Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Published under licence by IOP Publishing Ltd
1234567890 ‘’“”
4th International Conference on Operational Research (InteriOR) IOP Publishing IOP Conf. Series: Materials Science and Engineering 300 (2018) 012011 doi:10.1088/1757-899X/300/1/012011
Routing and Scheduling Optimization Model of Sea Transportation
Mika debora br barus
1, Habib asyrafy
2, Esther nababan
3and Herman mawengkang
4Department of Mathematics, University of Sumatera Utara, Medan, Indonesia.
E-mail:
1Deboramika9@gmail.com,
2habib.asyrafy@gmail.com,
3esther@usu.ac.id,
4
hermifa@yahoo.com
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
1
Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Published under licence by IOP Publishing Ltd
1234567890 ‘’“”
4th International Conference on Operational Research (InteriOR) IOP Publishing IOP Conf. Series: Materials Science and Engineering 300 (2018) 012062 doi:10.1088/1757-899X/300/1/012062
Assessment of Seismic Damage on The Exist Buildings Using Fuzzy Logic
Pınar USTA
1, Nihat MOROVA
1, Ahmet EVCİ
2, Serap ERGÜN
31
Suleyman Demirel University, Faculty of Technology, Civil Engineering Department, 32260 Isparta/Turkey
2
Afyon Kocatepe University, Faculty of Engineering, Civil Engineering Department, 03200 Afyon/Turkey
3
Suleyman Demirel University, Faculty of Technology, Software Engineering Department, 32260 Isparta/Turkey
Email : pinarusta@sdu.edu.tr
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
