2015
Authors
Saputro, TE; Masudin, I; Daneshvar Rouyendegh (Babek Erdebil, B;
Publication
International Journal of Production Research
Abstract
2014
Authors
Rouyendegh (Babek Erdebilli), BD; Saputro, TE;
Publication
5TH WORLD CONFERENCE ON EDUCATIONAL SCIENCES
Abstract
This study provides an overview of the fuzzy TOPSIS and Multi-Choice Goal Programming (MCGP) methods for Multi-Criteria Decision-Making (MCDM) problem under uncertain environments. Supplier selection is mostly a complex multi-criteria problem which consists of qualitative and quantitative criteria. Those criteria should be considered advertently as a final decision in comprehensive and objective supplier selection as well. This study deal with the optimum decision making for selecting supplier and allocating order by applying the proposed method of integrated fuzzy TOPSIS and MCGP (Multi-Choice Goal Programming). To deal with the uncertain and imprecise judgment of decision makers, a Fuzzy TOPSIS is utilized to express it by triangular fuzzy numbers. The final supplier selection and order allocation are obtained by integrating the closeness coefficients to the MCGP model. A numerical example is given to clarify the main results developed in this paper. (C) 2013 The Authors. Published by Elsevier Ltd.
2016
Authors
Masudin, I; Saputro, TE;
Publication
2ND INTERNATIONAL MANUFACTURING ENGINEERING CONFERENCE AND 3RD ASIA-PACIFIC CONFERENCE ON MANUFACTURING SYSTEMS (IMEC-APCOMS 2015)
Abstract
In today's technology, electronic trading transaction via internet has been utilized properly with rapid growth. This paper intends to evaluate related to B2C e-commerce website in order to find out the one which meets the usability factors better than another. The influential factors to B2C e-commerce website are determined for two big retailer websites. The factors are investigated based on the consideration of several studies and conformed to the website characteristics. The evaluation is conducted by using different methods namely fuzzy AHP and hierarchical fuzzy TOPSIS so that the final evaluation can be compared. Fuzzy triangular number is adopted to deal with imprecise judgment under fuzzy environment.
2017
Authors
Garside, AK; Saputro, TE;
Publication
Abstract
2015
Authors
Eko Saputro, T; Daneshvar Rouyendegh (Babek Erdebil, B;
Publication
International Journal of Management Science and Engineering Management
Abstract
2019
Authors
Saputro, TE; Figueira, G; Almada Lobo, B;
Publication
IFAC PAPERSONLINE
Abstract
Procurement plays an essential role in the supply of materials for the production of goods or products. The success of procurement management to fulfill demand with high service levels and on-time delivery relies on the suppliers' performance. Suppliers should be appropriately selected to source materials with the right quality, in the right quantity, at the right time, and for the right price. The scope of this problem, as well as other aspects such as the sourcing strategy, will depend on the type of items. Critical items, which represent high-profit impacts and high supply risks, should be approached comprehensively by considering all the main activities of the procurement process. This study focuses on a supplier selection problem integrated with inventory management under a multi-sourcing strategy, by taking into account stochastic demand and supply disruptions. This problem is approached by a simulation-optimization method, composed of discrete-event simulation and a genetic algorithm (GA). Finally, a numerical example is provided to illustrate the solution procedure.
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.